Datadog’s Chaos Engineering team builds systems that surface reliability weaknesses before they become outages. As a Senior Software Engineer, you will initially focus on zonal resilience, building automation that helps services safely evacuate and recover from zonal failures, while also contributing to fault injection, incident replay, gameday orchestration, and reliability tooling. You will work across engineering teams to design systems that safely exercise production failure modes and turn findings into verified remediation. You will also help advance the use of AI and automation to identify, test, and close resilience gaps as Datadog’s software and infrastructure evolve.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Build zonal-resilience automation that coordinates safe workload evacuations, switchovers, and recovery in partnership with the teams that own affected services.
• Design and build fault-injection systems for production environments, including infrastructure- and application-level testing, incident replay, and controlled resilience experiments.
• Develop safeguards such as blast-radius controls, kill switches, validation mechanisms, and rollback paths that keep production experiments contained and reversible.
• Build agents and automation that help propose failure scenarios, triage experiment results, and connect reliability findings to tracked remediation and verification.
• Lead gamedays from hypothesis and scenario design through execution, documented findings, remediation tracking, and validation of completed fixes.
• Design and implement reliable distributed systems, including gRPC services, Kubernetes controllers, and shared platform components, while contributing to technical design and mentoring other engineers.

Who You Are:

• You have strong distributed systems fundamentals and can reason about consistency, failure modes, backpressure, idempotency, quorum, retries, and failure recovery.
• You understand Kubernetes workload lifecycles, including how pods, controllers, scheduling, draining, and eviction interact with resilient system design.
• You have experience designing, building, or operating production systems where safety, availability, and controlled failure handling are important.
• You communicate complex technical decisions clearly through design documents, runbooks, postmortems, and cross-functional technical discussions.
• You are comfortable collaborating across engineering teams to understand unfamiliar systems, identify failure modes, and drive resilience improvements.
• Experience with reliability engineering, chaos engineering, zonal failover, AI-assisted operational workflows, traffic interception, or large-scale observability systems is beneficial but not required.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits and Growth:

• Develop deep expertise in distributed systems, production resilience, Kubernetes, and large-scale infrastructure.
• Work on reliability systems that operate across Datadog’s production environment and influence how engineering teams design for failure.
• Grow your experience designing safe, automated approaches to fault injection, zonal resilience, and incident reproduction.
• Explore practical applications of AI and automation to reliability engineering and operational workflows.
• Collaborate with engineers across infrastructure, databases, observability, and service teams on complex systems challenges.
• Mentor other engineers and contribute to technical designs, engineering practices, and platform strategy.
• Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Compliance Operations teams, including the Financial Intelligence Unit (FIU), investigations and enhanced due diligence, are the front line of how Kraken detects and responds to financial crime. The systems they run on sit within Core Services Product, alongside the engineering teams who build them. That covers alert ingestion, case management, investigator tooling and a growing set of automation and AI tools. This role owns the product for that investigation platform. That means how an alert is created, enriched, grouped and suppressed. How it becomes a case. How an investigator reaches and documents a decision. And how every step is evidenced to a regulator or auditor. You'll start with the FIU, where the workflows are most complex and the audit bar is highest, then extend the platform across Compliance Operations. THE OPPORTUNITY - Own the investigation-platform roadmap end to end. Sequence it and defend it, and re-sequence it when a regulator or the RCO raises a P0. - Define "done" before build starts. Write phased deliverables and acceptance criteria that Compliance signs off, and hold the line when scope moves. - Get requirements in before engineering starts. Build the intake between Compliance policy, monitoring rules and case management so that changes don't reach investigators before their workflows are ready. - Understand the process before building. Reconcile policy and SOPs against what investigators actually do and what the system actually does. Know the difference between a process fix and a technical one, and say which requests are in scope for engineering. - Understand the pipeline well enough to challenge it: ingestion, profile and transaction resolution, suppression and grouping logic, and reconciliation between vendor output and case management. Be able to walk an auditor through it with live examples. - Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic. - Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That means human-in-the-loop design, explainability and ongoing monitoring. - Run the operating rhythm: a shared forum with engineering and adjacent product managers, a regular stakeholder update, and one delivery status that everyone reads the same way. WHAT YOU BRING - 4+ years of product management, including 2+ years on financial-crime systems such as transaction monitoring, investigations, case management, KYC/EDD or sanctions screening. - Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems. - The technical fluency to go deep on data flows and system design with engineers, and to spot when a design won't meet the requirement. - A track record of shipping internal tools or operational platforms that measurably changed how an operations team works. - Clear, concise writing, from PRDs and phase plans to audit walkthroughs and executive updates. - The judgement to tell a senior stakeholder a timeline isn't realistic because the requirements aren't written yet, and to keep the relationship intact. NICE TO HAVES - Direct FIU experience, such as alert disposition, SAR/STR filing or leading investigators. - Crypto or digital-asset experience, such as blockchain analytics, wallet-level transaction analysis or focal vs counterparty logic. - Experience shipping AI or ML into a regulated investigative workflow, including the control design. - Build-vs-buy and vendor evaluation for monitoring or case-management tooling. - Experience with programmes that span jurisdictions (UK, EU/MiCA, US). Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's Compliance Operations teams, including the Financial Intelligence Unit (FIU), investigations and enhanced due diligence, are the front line of how Kraken detects and responds to financial crime. The systems they run on sit within Core Services Product, alongside the engineering teams who build them. That covers alert ingestion, case management, investigator tooling and a growing set of automation and AI tools. This role owns the product for that investigation platform. That means how an alert is created, enriched, grouped and suppressed. How it becomes a case. How an investigator reaches and documents a decision. And how every step is evidenced to a regulator or auditor. You'll start with the FIU, where the workflows are most complex and the audit bar is highest, then extend the platform across Compliance Operations. THE OPPORTUNITY - Own the investigation-platform roadmap end to end. Sequence it and defend it, and re-sequence it when a regulator or the RCO raises a P0. - Define "done" before build starts. Write phased deliverables and acceptance criteria that Compliance signs off, and hold the line when scope moves. - Get requirements in before engineering starts. Build the intake between Compliance policy, monitoring rules and case management so that changes don't reach investigators before their workflows are ready. - Understand the process before building. Reconcile policy and SOPs against what investigators actually do and what the system actually does. Know the difference between a process fix and a technical one, and say which requests are in scope for engineering. - Understand the pipeline well enough to challenge it: ingestion, profile and transaction resolution, suppression and grouping logic, and reconciliation between vendor output and case management. Be able to walk an auditor through it with live examples. - Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic. - Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That means human-in-the-loop design, explainability and ongoing monitoring. - Run the operating rhythm: a shared forum with engineering and adjacent product managers, a regular stakeholder update, and one delivery status that everyone reads the same way. WHAT YOU BRING - 4+ years of product management, including 2+ years on financial-crime systems such as transaction monitoring, investigations, case management, KYC/EDD or sanctions screening. - Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems. - The technical fluency to go deep on data flows and system design with engineers, and to spot when a design won't meet the requirement. - A track record of shipping internal tools or operational platforms that measurably changed how an operations team works. - Clear, concise writing, from PRDs and phase plans to audit walkthroughs and executive updates. - The judgement to tell a senior stakeholder a timeline isn't realistic because the requirements aren't written yet, and to keep the relationship intact. NICE TO HAVES - Direct FIU experience, such as alert disposition, SAR/STR filing or leading investigators. - Crypto or digital-asset experience, such as blockchain analytics, wallet-level transaction analysis or focal vs counterparty logic. - Experience shipping AI or ML into a regulated investigative workflow, including the control design. - Build-vs-buy and vendor evaluation for monitoring or case-management tooling. - Experience with programmes that span jurisdictions (UK, EU/MiCA, US). Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Cool things you’ll do

You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics.

As an ideal candidate, you will have

We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal ATSE II candidate should have:

• 4+ years of relevant experience
• Strong understanding and grasp of the following areas
• Systems administration
• Troubleshooting Systems
• Scalable and Highly available distributed systems
• Network Administration
• Application Architecture
• Data architecture and design
• Understanding of database architecture and administration
• Experience in performance tuning and benchmarking
• Previous experience in technical support
• A B.Tech / B.S. or equivalent work experience

Nice to have

• Comfortable with modern AI concepts and proficient in using AI-assisted tools to accelerate troubleshooting and enhance day-to-day technical support workflows.
• Knowledge on one or more of Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, PHP, or Perl
• It’s crucial for every candidate that they can check off all of these boxes
• Excellent communication skills, both written and verbal
• Genuine desire to help people
• Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troubleshooting skills
• Ability to think on your feet, remain calm under pressure and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Strong teamwork: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will work on gaining expertise to be a part of a technical experts group within the MongoDB ecosystem and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 3273564964

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Are you interested in using the latest technology to help our customers build amazing relationships with their guests? Does the idea of developing products that help people cherish their best moments in life sound exciting to you? As an engineer on the Guest Engagement team, your mission will be creating the next generation of engagement experiences that help bring new guests into the restaurants, and turn them into regulars. You will work closely with UX, PM and QA, and have access to state of the art AI tools, to deliver some real impact on real people.

A day in the life (Responsibilities)

• Design, build and maintain high performing, flexible, and scalable Android solutions running on Toast POS hardware in thousands of restaurants
• Ship features end-to-end, from design through rollout, monitoring for success and iterating based on real-world use
• Build great UX using best practices of modern Android development
• Be an awesome teammate who's all in on collaboration and collective success
• Create products and features that help restaurants deliver a best-in-class guest experience
• Collaborate closely with Product, Design, and Engineering stakeholders, and actively participate in Agile ceremonies
• Partner with team members and other engineers across the company to raise the bar for the Android experience at Toast

What you'll need to thrive (Requirements)

• Minimum 2-4 years of experience with Android development in Kotlin and/or Java, with hands-on experience shipping production Android apps
• Hands on experience of modern Android tooling and frameworks is a minimum requirement
• Excited about AI-assisted development and LLM-based agents (Claude Code or similar), and interested in pioneering new workflows with the team
• Comfortable reading and integrating with backend services (REST/GraphQL) and curious to work across the stack when needed
• Comfortable with ambiguity, agile delivery, and shipping usable software incrementally
• Passionate about making users happy and seeing people use your product in the wild
• Strong on software development fundamentals — code quality, unit tests, clean code — and open to evolving your workflow with AI tooling

Our Tech Stack

• Android app built in Java & Kotlin running in the restaurant
• A core of Java & Kotlin based backend services
• Claude Code and similar AI agentic development tools as part of daily engineering
• PostgreSQL and DynamoDB as core persistence
• REST and GraphQL APIs, plus many more technologies that help us build a top-class platform

This is a hybrid role requiring in-office collaboration two days per week in our Dublin office.



AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.



#LI-HYBRID

#BI-Hybrid



How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid WorkingWe embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

People Are the Secret Ingredient in Our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [candidateaccommodations@toasttab.com](mailto:candidateaccommodations@toasttab.com).

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About H H Company is a European frontier AI lab building computer-use agents: Holo models, HoloTab, HoloDesktop and the CU Agent API. We're turning frontier research into powerful enterprise tools, and building the operating system behind that growth. The role You'll build and run the revenue engine for sales, partnerships, forward deployed and marketing. You'll own how we forecast, how pipeline moves, how deals get priced, and what data we use to decide. You’ll report to the COO and work closely with GTM leads and partners across the business. This is a builder role: much of it doesn't exist yet. What you'll own - Revenue architecture: Design the end-to-end GTM process, from lead through to renewal, across self-serve (API) and enterprise motions. - Forecasting and planning: Run the weekly forecast, set up annual and quarterly planning, and model capacity, territories and targets. - Systems and data: Own HubSpot and the wider GTM stack, including data hygiene, integrations, attribution and one source of truth for pipeline and revenue. - Deal desk: Set pricing governance, discount approvals, contract workflows and usage-based billing for the API, working with Finance and Legal. - Compensation mechanics: Build and administer sales comp plans and quota tracking. Plan design and approval stay with People and the COO. - Insight: Produce the metrics leadership runs the business on: win rates, cycle time, CAC, NRR and conversion by segment. - Automation: Use our own agents on RevOps workflows. We expect you to be a heavy user. What we're looking for - A proven record of building RevOps from early stage through scale in B2B SaaS, AI or infrastructure - Experience running both enterprise sales-led and usage-based or PLG revenue models - Deep CRM expertise (HubSpot preferred) and fluency in SQL or BI tools - A track record of forecasts leadership actually trusts - Commercial judgement: you can challenge a VP on deal structure with data - Comfort in ambiguity, high standards and low ego - Fluent English. French is a plus. What success looks like at 12 months - Forecast accuracy within ±10% - A clean, trusted pipeline across all regions - A live deal desk and a documented GTM playbook - Comp plans that pay out accurately and on time What we offer Competitive salary · Equity · H Company is an equal opportunity employer. We welcome applications from everyone, whatever their origin, sex, gender identity, sexual orientation, age, family situation, disability, religion or beliefs. We will make reasonable adjustments throughout the process on request.

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Strong years experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark" and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification preferred but not essential

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta seeks a skilled Staff FullStack Engineer with expertise with People Technology Applications (Workday, Greenhouse, Cornerstone).
As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both Workday, Greenhouse and Cornerstone to improve business processes and scalability.
This role will report to the Manager in Bangalore, India.

What you’ll be doing :

• Design, develop, and maintain full-stack solutions for the People Technology Tech stack like Workday, Greenhouse and Cornerstone Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between People Technology apps (via API) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, A2A for Agentic AI (LangGraph)
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in People Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the People tech stack Workday Studio / Extend, Cornerstone, Greenhouse, and associated integrated systems
• Work with AI/ML teams and solution architects to integrate AI capabilities into enterprise applications.
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs, Agent to Agent (A2A) and MCP
• Design and implement custom Generative AI solutions using the Workday Agent System of Record Agent Tools for practical Workday use cases

What you’ll bring to the role

• - 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock or OpenAI or equivalent platforms.
• • 6+ years with modern front-end frameworks (e.g., React, Next.js, TypeScript, Python), and an ability to collaborate effectively with Product & Design.
  • Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
  • Proven experience building and deploying production-grade AI applications and services.
  • Experience with agentic frameworks like LangChain, LangGraph, and LangSmith is a strong plus.

And extra credit if you have experience in any of the following

• Understanding of the HR/ERP platform is a plus

Education and Certifications

• - A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience

• AWS cloud Certification or any ERP foundation certificate is a plus

#LI_Hybrid

#LI_P25740_3566323

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Staff Software Engineer

Company Description:

Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers

Position Description:

The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems.

We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is someone who has experience building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.

Job Duties and Responsibilities:

• Work with senior engineering team in major development projects, design and implementation
• Be a key contributor in the implementation of the LCM infrastructure
• Troubleshooting customer issues and debugging from logs (Splunk, Syslogs, etc.)
• Design & Implement features with functional and unit tests along with monitoring and alerts
• Conduct design & code reviews, analysis and performance tuning
• Quick prototyping to validate scale and performance
• Provide technical leadership and mentorship to more junior engineers
• Interface with Architects, QA, Product Owners, Engineering Services, Tech Ops
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work

Required knowledge, skills, and abilities:

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure
• 8+ years of Software Development in Java, preferably significant experiences with SCIM and Spring Boot.
• 5+ years of development experience building services, internal tools and frameworks
• 2+ years experience automating and deploying large scale production services in AWS, GCP or similar.
• Deep understanding of infrastructure level technologies: caching, stream processing, resilient architectures
• Experience with RESTful APIs and SOAP apis.
• Ability to work effectively with distributed teams and people of various backgrounds
• Lead and mentor junior engineers.

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD.
• Experience with UI development or javascript frameworks
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM

Education and Training:

• B.S. Computer Science or related field

#LI-Hybrid
P25922_3564221

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Title: Senior Software Engineer

Company Description:

Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers

Position Description:

We are looking for an experienced Senior Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale.

The ideal candidate will be naturally curious and has experience building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.

Job Duties and Responsibilities:

• Work with senior engineering team in major development projects, design and implementation
• Conduct code reviews, analysis and performance tuning
• Work with QA team to outline and implement comprehensive test coverage for broad features
• Provide support and handle incoming bugs and customer reported issues
• Interface with cross-functional teams (Architects, QA, Product, Technical Support, Documentation, and UX teams) to develop connectors to on-prem and cloud apps
• Analyze/Refine Requirements with Product Management
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work
• Design and implement core, high-performance, scalable software components
• Quick prototyping to validate scale and performance.
• Conduct code reviews, analysis and performance tuning
• Troubleshooting and support for customer issues and debugging from logs (Splunk, Syslogs, etc.)

Required knowledge, skills, and abilities:

• 5+ years of software development experience building highly-reliable, mission- critical software
• Experience with object-oriented languages, e.g. Java
• Experience with data stores, e.g. relational databases
• Experience with one or more of the following Directory services: Active Directory, LDAP
• Experience with RESTful APIs
• Ability to debug
• Experience working with a system of scale

Nice to haves:

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading
• Experience in TDD
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM
• Microsoft Azure management APIs, ADFS, Office 365 or Microsoft’s Directory Synchronization Tool , Active Directory

Education and Training:

• B.S. Computer Science or related field

#LI-Hybrid

P25897_3565249

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.