Rokt is an Ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.The Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.Growth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities. Pay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities: Technical

• Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.
• Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace
• Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
• Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
• Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.
• Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.

Leadership

• Act as technical and project leader of a small team of specialists
• Provide leadership on complex technical issues,
• Set standards for technical excellence - from coding to architectural best practices.
• Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
• Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.

Requirements

• PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects.
• 10+ years of industry experience building production-grade ML systems.

+ Deep expertise in at least two of the following:

• ML for Ads, E-commerce, or Two-Sided Marketplaces
• Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
• Bayesian Modelling & Probabilistic Methods
• Reinforcement Learning (Contextual Bandits, Policy Optimization)
• Price & Revenue Optimisation
• Representation Learning & Embeddings
• Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
• Knowledge Distillation

Hybrid work structure: Rokt has a 4 day in-office, 1 day remote hybrid structure - with a flexible approach to start/finish times.

Benefits

• Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
• Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
• Fully funded health insurance (Dental, Optical, and Medical)
• Generous allowances for wellness, technology, mobile, and transit.
• Daily catered lunch, stocked pantry & fridges
• Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.

RDQ427R535

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering.

Impact you will have

• Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance.
• Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health.
• Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day.
• Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business.
• Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships.
• Early Databricks adopter and DevRel: Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples.

Required Qualifications

• 3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role.
• Heavy hands-on production experience with Databricks data engineering and analytics tool
• Strong SQL and Python, with experience building and maintaining production data pipelines.
• Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions.
• Experience building AI applications or agentic workflows (LLM-powered apps and automations).
• Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work.
• Clear communicator who works well in fast-moving, sometimes ambiguous situations.
• Strong propensity for GSD → Gets Stuff Done!

Preferred

• Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks.
• dbt or a similar transformation framework, and modern analytics-engineering practices.
• Experience defining business metrics and KPI frameworks.
• Open-source contributions or community work in data and AI.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 1 Pay Range
$101,900-$140,150 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.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.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

The Technical Account Manager (TAM) is a trusted advisor to NICE’s customers and will provide both proactive and reactive post-implementation support ensuring alignment with the Customer’s priorities and NICE’s business objectives. The TAM is responsible for maintaining a strategic relationship across all client business units influencing tactical activities to drive service excellence for designated accounts. The TAM is required to be a subject matter expert in the NICE Solutions deployed at their designated clients and ensure maximum value is achieved from the NICE solution.

You will be the primary interface between the Customers and NICE’s support organizations while managing critical issues, problems and requests related to escalations and missed expectations.

The TAM is an extension on the Support Management Team focused on escalation management, Technical Communication, driving resolution and technical best practices.

How will you make an impact? ****

• Understand the full solution NICE & 3rd party integrations for designated accounts
• Analyze support activity and SR trends for the assigned account ensuring SLAs are met, CSAT is achieved and/or provide recommendations to close gaps- Facilitate Meetings
• First point of escalation for designated accounts for support process issues not resolved by the standard process
• Facilitate problem resolution across NICE internal teams, driving actions, communication and RCA/Best Practices
• Establish relationships and effectively communicate with key members of Customer’s technical team including management personnel.
• Identify barriers to product adoption and partner with appropriate NICE and Customer teams to optimize Customer success.
• Develop, implement and maintain standard practices for designated accounts aligned with the Global TAM operating model
• Oversee transition phase from Client Services to Customer Support (documentation and report review, completed project sign-off, documented acceptance, updated internal sites with hand off materials)- Ensure Day 2 readiness and Success
• Act as Back up for Support Managers as directed
• Mentor and coach Engineers from a technical perspective
• Communicate and advocate customer requirements and concerns to product management team R&D and other internal stakeholders
• Lead Root Cause/Best Practice sessions with Customers and internally as required
• As a 24x7x365 organization, on-call responsibilities may be required as well as occasional travel to customer sites.

Have you got what it takes?

• Possess excellent organizational and communication skills.
• Strong ability to use facts and data to influence decisions
• Ability to prioritize and make appropriate decisions.
• Proven ability to meet deadlines and maintain quality standards.
• Excellent problem-solving skills, strong customer service and interpersonal skills, plus a demonstrated ability to work with a diverse group of associates.
• Ability to interact effectively with all levels of management and customers.
• Ability to work with minimal guidance or supervision in a time critical environment.
• Ability to be flexible and quickly adapt to changing business needs and processes.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!



About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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. We seek an experienced leader, native to crypto and with significant experience in KOL business development and team management to lead our global affiliate program. THE OPPORTUNITY - Build out and lead Kraken’s global KOL strategy and execution, including managing a BD team focused regionally. - Scale processes to source, contract, and manage KOLs. This will include technology, agency relationships, and commercial planning. - Ensure compliance with financial influencer laws around the world with the appropriate disclaimers, content monitoring, and compensation terms. - Enable the KOL BD team to negotiate deals that are attractive in a competitive KOL space and deliver strong ROI to Kraken. - Attract top KOLs across a variety of categories including futures, margin trading, spot trading, and prop trading. - Develop scalable strategies that arm KOLs with positioning and messaging that highlight Kraken Pro’s differentiators. - Identify opportunities to develop local-first ideas with KOL partners that generate attention, are persuasive vs competitors, and drive a strong CTA. - Define and evolve global program benefits for KOLs to deepen engagement and drive feedback loops that help scale affiliate marketing. - Measure results of KOL partnerships; adjust strategy and deal structures. WHAT YOU BRING - 5+ years in the crypto space, with experience building out a KOL program - Significant experience with crypto KOLs, especially traders - A proven track record in growing new users in a highly competitive and regulated environment. - Experience working with partners in regions all over the world - Advanced crypto knowledge including how crypto products work, crypto revenue models, and crypto players in different regions. - Existing relationships with crypto and adjacent industry influencers. Candidate expected to bring a strong network. - Experience with software to manage KOLs across a deal’s lifecycle and scaling processes to handle hundreds of KOLs - Experience across a large product suite, with an eye for leveraging different KOLs to promote multiple topics and products - Strong experience in marketing analytics, including how to measure partnership success - We will strongly assess creative thinking; we are looking for people that have growth ideas grounded in logic and data, while being capable of supporting their ideas and persuading others to enact them 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. We seek an experienced leader, native to crypto and with significant experience in KOL business development and team management to lead our global affiliate program. THE OPPORTUNITY - Build out and lead Kraken’s global KOL strategy and execution, including managing a BD team focused regionally. - Scale processes to source, contract, and manage KOLs. This will include technology, agency relationships, and commercial planning. - Ensure compliance with financial influencer laws around the world with the appropriate disclaimers, content monitoring, and compensation terms. - Enable the KOL BD team to negotiate deals that are attractive in a competitive KOL space and deliver strong ROI to Kraken. - Attract top KOLs across a variety of categories including futures, margin trading, spot trading, and prop trading. - Develop scalable strategies that arm KOLs with positioning and messaging that highlight Kraken Pro’s differentiators. - Identify opportunities to develop local-first ideas with KOL partners that generate attention, are persuasive vs competitors, and drive a strong CTA. - Define and evolve global program benefits for KOLs to deepen engagement and drive feedback loops that help scale affiliate marketing. - Measure results of KOL partnerships; adjust strategy and deal structures. WHAT YOU BRING - 5+ years in the crypto space, with experience building out a KOL program - Significant experience with crypto KOLs, especially traders - A proven track record in growing new users in a highly competitive and regulated environment. - Experience working with partners in regions all over the world - Advanced crypto knowledge including how crypto products work, crypto revenue models, and crypto players in different regions. - Existing relationships with crypto and adjacent industry influencers. Candidate expected to bring a strong network. - Experience with software to manage KOLs across a deal’s lifecycle and scaling processes to handle hundreds of KOLs - Experience across a large product suite, with an eye for leveraging different KOLs to promote multiple topics and products - Strong experience in marketing analytics, including how to measure partnership success - We will strongly assess creative thinking; we are looking for people that have growth ideas grounded in logic and data, while being capable of supporting their ideas and persuading others to enact them 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

About Us



DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

The Senior Desktop Support Specialist provides advanced technical support and customer service in a fast-paced enterprise environment, supporting desktops, laptops, mobile devices, printers, peripherals, and end-user software across Windows 11, macOS, and Linux platforms. This role is responsible for configuring and securing IT assets, troubleshooting hardware and software issues, delivering enhanced VIP support, managing incidents and service requests through ServiceNow, and ensuring timely resolution and documentation of support tickets. The position also serves as a mentor to junior technicians, leads special projects, and collaborates with technical teams to maintain high levels of service delivery. The ideal candidate brings 6+ years of progressive technical support experience (or equivalent), strong expertise with Microsoft technologies, exceptional communication and customer service skills, and experience supporting executive users.

Responsibilities

• Configuring, installing, and supporting desktops, laptops, handheld devices, printers, monitors, portable data storage devices, and other peripherals.
• Providing enhanced VIP desktop and user support service.
• Configuring IT devices for secure operation, including installation of security software, software updates, and other configurations as required.
• Providing software support for users of NIH-provided applications (as identified by the task).
• Mentoring junior technicians
• Ability to work well under pressure and meet deadlines as needed.
• Ability to lead/track special projects
• Using an IT ticket system, responsible for receiving and tracking trouble tickets, updating open tickets appropriately with actions/steps taken; working them to completion and/or re-assigning them to a technical specialist for action, and closing out with the customer and in the system.

Qualifications

• Bachelor's with 6+ years, Associate's degree with 8+ years, or High School diploma with 10+ years of technical support
• Experience with current desktop and laptop computers.
• Experience supporting various operating systems – expertise should include Windows 10 and 11; macOS (ideally 14 or higher); Linux (Ubuntu preferred)
• 5+ years of technical support experience in Microsoft suite.
• Experience using ServiceNow for incident management, problem management, and request fulfillment.
• Strong customer service and end-user equipment support skills; preferably with some experience supporting VIPs.
• Strong written and oral communications are required.
• Ability to gain and/or maintain a Public Trust clearance.

Desired Qualifications

• Experience supporting the National Institutes of Health
• Bachelor’s degree preferred; ideally in Computer Science, Information Systems, or Social Science
• Experience with Active Directory
• Experience with Mobile Device Management (such as MobileIron)
• Experience providing IT support in a healthcare/clinical environment, ideally supporting connected medical devices
• One or more of the following certifications is desired:

• Apple Certified Support Professional
• Microsoft Certified Professional
• CompTIA Security+
• CompTIA A+

Basic Compensation: $75,000 - $81,000 yearly salary

The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.



Benefits

DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

EEO

DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply.

DLH is committed to maintaining a fair and authentic interview process

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart's Detection Engineering team sits at the core of our Security organization, building and operating the systems that identify, surface, and respond to threats across one of North America's largest grocery technology platforms. We own the full detection lifecycle, from telemetry collection and signal design to automated response, across a complex, cloud-native environment spanning endpoint, cloud, container, and SaaS.

As a Detection Engineer, you'll be a technical anchor on the team: developing high-fidelity detection logic, hunting for novel attacker techniques, and raising the bar for how we think about coverage, quality, and scale. You'll work closely with Engineering, Red Team, Incident Response, Fraud, and Trust & Safety to ensure our detections reflect real-world adversary behavior (and not just signatures).

We operate with a detection-as-code mindset: everything we build is versioned, tested, and deployed through repeatable pipelines. We care deeply about reducing noise, improving analyst efficiency through automation and SOAR, and continuously evolving our coverage as the threat landscape shifts.

If you're energized by hard forensic problems, enjoy translating attacker TTPs into durable detection logic, and want to help shape the future of a growing security function, this role is for you.

About the Job

• Develop, tune, document, and maintain detection logic across multiple log sources including endpoint, cloud, container, and SaaS products.
• Assist in cyber forensic investigations across a variety of log sources
• Optimize log ingestion pipelines and telemetry collection to ensure high-quality, actionable security data while managing volume and cost
• Design and build SOAR playbooks and automation workflows to streamline detection triage, enrichment, and response actions
• Mentor/knowledge share with other detection engineers on threat hunting methodologies, detection logic development, and investigation techniques

About You

Minimum Qualifications

• 2+ years of experience in a detection engineering, incident response, or offensive security role.
• Experience with 1 or more public cloud platforms (AWS, Azure, GCP)
• Deep understanding of attacker TTPs across modern zero trust environments, including identity compromise, token theft, and abuse of trust boundaries
• Proficient understanding of macOS internals and telemetry available to identify macOS specific threats
• Experience implementing detection-as-code workflows including version control, peer review processes, automated testing, and CI/CD deployment pipelines
• Basic proficiency with Python, Golang, or other programming/scripting languages
• Relevant certifications: GCFA, GCFE, GNFA, GREM, OSCP, GCIA, or similar

Preferred Qualifications

• Background in offensive security or red teaming
• Knowledge of machine learning for threat detection

#LI-remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$145,000-$153,000 USD