• Set the technical strategy and roadmap for service mesh, balancing reliability, security, performance, and operating cost.
• Design and build control-plane and data-plane capabilities for service discovery, routing, load balancing, and traffic policy using Envoy, Istio, and related technologies.
• Lead integration and migration across Kubernetes, Nomad, and cloud environments, with clear compatibility requirements and safe rollout plans.
• Partner with Security and application teams to deliver workload identity, mutual TLS, and traffic policy enforcement in production.
• Improve resource efficiency and operational reliability through performance analysis, testing, observability, incident response, and deployment automation.
• Lead technical decisions across teams, write and review production code, and mentor senior engineers to expand their judgment and ownership.

• 8+ years of software engineering experience building and operating large-scale distributed systems, including leading substantial initiatives across teams.
• Expertise in service mesh, proxies, application gateways, or a closely related infrastructure domain, demonstrated through systems you have designed, shipped, and operated.
• A strong understanding of networking fundamentals, service discovery, traffic management, failure isolation, and secure service communication.
• Strong programming skills in Go, C++, Rust, or another systems language, with experience debugging across application, proxy, control-plane, and operating-system boundaries.
• Experience operating Kubernetes or comparable orchestration platforms in production and leading infrastructure migrations or performance improvements. Envoy/Istio internals, xDS, workload identity, and substantive open-source contributions are especially relevant.
• A record of turning ambiguous problems into technical direction and coordinated execution, communicating tradeoffs clearly, and helping other engineers lead independently.

• Industry-leading compensation package
• Excellent medical, dental, and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Roflex - Flexible and supportive work policy
• Roblox Admin badge for your avatar
• At Roblox HQ:
• Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
• Onsite fitness center and fitness program credit
• Annual CalTrain Go Pass

• Drive the design, deployment, and operations of Roblox's large-scale data center network.
• Design, qualify, and validate new technologies and hardware for scalable solutions.
• Coordinate data center builds and projects with multiple teams, including weekly cross-team calls.
• Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early.
• Contribute to automation and telemetry that improve efficiency, reliability, and visibility.
• Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early.
• Contribute to automation and telemetry that improve efficiency, reliability, and visibility.

• 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS).
• Proficiency deploying and managing 400G and 800G hardware.
• Skilled in configuring and troubleshooting large-scale BGP deployments.
• Strong knowledge of network protocols (TCP/IP, UDP, DHCP, DNS), with hands-on experience in IPv4 and IPv6.
• Preferred: QoS, IS-IS, MPLS, RSVP-TE, DWDM, commercial NAT, open-source hardware and software.

The role

What you’ll do

• Owning complex and high-impact customer investigations involving AI applications and agentic workflows
• Leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers
• Leading investigations into agent workflows, tool calls, model-provider integrations, memory, checkpoints, streaming, retries, and timeouts
• Reading and debugging Go, Typescript, Python services and agent implementations; using logs, metrics, traces, and diagnostic tooling to develop evidence-based conclusions
• Troubleshoot Kubernetes and containerized workloads, including deployments, images, secrets, resource failures, and networking
• Serving as a technical subject-matter expert for AI application support and related distributed-system issues
• Creating and improving troubleshooting methodologies, knowledge articles, diagnostic scripts, and reusable runbooks
• Mentoring and coaching engineers in AI fundamentals, cloud-native operations, customer communication, and troubleshooting methodology
• Partnering with Engineering, Product, Security, and other Technical Services teams to communicate customer impact and influence product improvements
• Reviewing recurring issues and identifying opportunities to improve support processes, tooling, and customer self-service
• Contributing to the broader MongoDB database and cloud support cases when needed

Experience level

What you’ll bring

• AI and agent platforms: Hands-on experience building or troubleshooting agentic AI applications, including LangGraph, A2A, MCP, tool calling, model-provider integrations, memory, checkpoints, streaming, and human-in-the-loop workflows
• Programming and systems troubleshooting: Ability to read and debug Go, TypeScript, and Python services, SDKs, and agent workflows, including asynchronous execution, HTTP clients, retries, and timeouts
• Cloud-native platforms: Experience with Docker and Kubernetes, including deployments, containers, networking, secrets, resource management, and deployment troubleshooting
• API, identity, and security: Familiarity with REST/JSON APIs, streaming protocols, API keys, OAuth/JWT, RBAC, and service accounts
• Observability and incident response: Experience using metrics, events, logs, traces, error monitoring, and alerting to diagnose production issues
• Distributed-systems troubleshooting: Experience investigating issues across application, platform, and data layers, communicating clearly with customers, and driving problems through resolution

• Experience with MongoDB, MongoDB Atlas, Atlas Vector Search, Voyage AI or another distributed database
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Control/Data-plane architecture services
• Experience with Terraform, GitHub Actions, CodeBuild, or other CI/CD systems
• Experience with Helm, operators, container registries, or advanced Kubernetes networking
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability

• Customer-centered problem solving: You have a genuine desire to help people and are motivated by achieving successful customer outcomes
• Calm, structured judgment: You can think on your feet, remain calm under pressure, form hypotheses, use evidence, and solve problems in real time
• Learning agility: You rapidly build expertise across new technologies, especially AI platforms, distributed systems, and cloud infrastructure
• Collaborative ownership: You know when to work independently, when to seek help, and how to provide others with the context needed to move an issue forward
• Clear communication: You can explain complex technical issues clearly to customers, engineers, and cross-functional partners

About MongoDB

• Own the end-to-end new hire experience: coordinate with People Ops ahead of start dates, provision laptops and peripherals, and ensure every new hire is productive on day one.
• Create accounts and assign role-based access across our identity and SaaS stack (Okta, Google Workspace, Slack, Jira/Confluence, Zoom, Microsoft Entra ID/M365).
• Enroll and configure devices (Mac and Windows) in MDM with required security baselines before handoff.
• Lead new hire IT orientations, covering security expectations, core tools, and how to get help.

• Execute timely, security-critical offboarding: suspend accounts, revoke access and sessions, and reclaim licenses on the employee's last day.
• Recover, wipe, and re-inventory hardware; coordinate remote returns for distributed employees on the last day.
• Maintain auditable onboarding/offboarding checklists to support security and compliance reviews (e.g., SOC 2 access controls).

• Own the day-to-day IT ticket queue in Jira Service Management: triage, prioritize, and resolve or dispatch every incoming request.
• Meet first-response and resolution SLAs; keep requesters informed and tickets updated until closure.
• Escalate appropriately with clear context and reproduction steps.
• Analyze ticket trends to find recurring issues, then eliminate them through documentation, self-service, or automation.
• Build and maintain knowledge base articles for both end users and the IT team.

• Provide help desk support to all Scale employees across hardware, software, AV, and access issues.
• Maintain and support office technology (printers, Zoom Rooms, room schedulers, and more).
• Own IT asset management with accurate, actionable records of all equipment through its lifecycle.
• Administer and integrate cloud services (Google Workspace, Microsoft Entra ID/M365, Slack, Okta, Jira, Confluence, Zoom, and more).
• Promote IT best practices and constantly ask: "How can I make things better?"
• Be in-office 100% of the time.

• 3+ years of corporate IT experience, including hands-on onboarding/offboarding ownership at scale.
• Deep understanding of computer fundamentals and troubleshooting: hardware and software (Mac, Windows) and cloud technologies (Google Workspace, Slack, Zoom, Okta, Microsoft Entra ID/M365).
• Experience running a ticket queue in Jira Service Management or a similar ITSM tool, with a track record of meeting SLAs.
• Familiarity with identity/access management (Okta SSO, SCIM provisioning) and MDM for Mac and Windows fleets.
• A positive attitude and excitement for building new processes and policies for a rapidly growing organization.
• Experience supporting remote teams and multiple global offices using tools like Slack and Zoom.
• A security- and compliance-focused mindset.

CE QUI NOUS REND EPIC ?

ASSURANCE DE LA QUALITÉ

Ce que nous faisons

Ce que vous ferez

Ce dont vous serez responsable

• Exécuter et élaborer des cas d’essai détaillés afin d’assurer la qualité de plusieurs produits, tout en conciliant rapidité et couverture d’essai
• Créer, maintenir et prendre en charge des cas d’essai complets basés sur des scénarios prédéfinis
• Analyser les problèmes pour en trouver la cause profonde, puis les communiquer ou les escalader au besoin, en gardant toujours en tête le contexte global
• Fournir à l’équipe de développement des rapports sur les problèmes bloquants, les résultats de tests et le niveau de qualité global, tout en animant les discussions autour des risques potentiels
• Rédiger des rapports de bogues clairs et concis accompagnés d’étapes de reproduction détaillées
• Mettre à profit votre connaissance des fonctionnalités des produits pour repérer les bogues et les inefficacités
• Définir vos priorités quotidiennes de façon autonome tout en appuyant celles de l’équipe
• Soutenir les opérations en direct dans l’environnement de jeu grâce à un roulement de gardes en dehors des heures de travail normales

Ce que nous recherchons

• Au moins 3 ans d’expérience en assurance qualité ou en essais dans le domaine des jeux vidéo ou du logiciel
• Compétences techniques en logiciel ou en dépannage (diplôme en informatique ou l’équivalent, apprentissage autodidacte ou expérience pertinente)
• Expérience avec les consoles de jeu ou les appareils mobiles
• Expérience en développement de logiciels et création de jeux ou de logiciels
• Bonne connaissance du cycle de vie du développement logiciel et du rôle des essais au sein de celui-ci
• Ma�®trise de la saisie d’anomalies dans des systèmes de suivi de bogues comme Jira
• Expérience en essai de logiciels au sein d’une équipe QA structurée
• Capacité à analyser les tendances de bogues, à repérer les lacunes de couverture et à formuler des recommandations pour prévenir les futurs problèmes
• Expérience avec des moteurs de jeu comme Unreal Engine, Unity, etc.
• Expérience dans la création et l’exécution autonome de scénarios d’essai créatifs, en vous appuyant sur votre connaissance du produit et la documentation disponible

Avantages

� PROPOS DE NOUS

Vous aimez ce que vous entendez ? Venez faire partie de quelque chose d'Epic !

WHAT MAKES US EPIC?

QUALITY ASSURANCE

What We Do

What You'll Do

In this role, you will

• Execute and develop detailed test cases to ensure the quality of multiple products while balancing speed and coverage
• Create/Maintain/Own comprehensive test cases based on predefined test scenarios
• Investigate and analyze issues to identify root causes, and communicate or escalate issues when necessary, keeping the broader context in mind
• Provide the development team with reports on blocking issues, test results, and overall quality status while facilitating discussions around potential risk areas
• Write clear and concise bug reports with detailed reproduction steps
• Leverage knowledge of product features to identify issues and inefficiencies
• Independently set your daily priorities while also assisting with the team's priorities
• Support ongoing operations in the live environment through rotating on-call shifts in addition to normal working hours

What we're looking for

• A minimum of 3 years of experience in QA/Testing at games or software
• Technical software or troubleshooting skills (degree in Computer Science or equivalent, self-taught, or relevant experience)
• Experience with gaming consoles and/or mobile devices
• Experience with software development and building games or software
• Familiarity with the software development life cycle and the role of testing within it
• Proficient in logging defects in bug-tracking systems like Jira
• Experience testing software within a structured QA team
• Ability to analyze defect trends, identify coverage gaps, and provide feedback to prevent future issues
• Experience with game engines such as Unreal, Unity, etc
• Experience in creating and executing creative test scenarios independently, utilizing product knowledge and available feature documentation

EPIC JOB + EPIC BENEFITS = EPIC LIFE

ABOUT US

Like what you hear? Come be a part of something Epic!

You Are

• Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox.
• A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands.
• Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use.
• Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use.
• You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices.
• Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions.
• A clear communicator who excels at both written and verbal communication across differing levels of technical detail.
• Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.

You Will

• Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt.
• Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes.
• Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost.
• Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production.
• Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes.
• Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference.
• Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle.
• Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices.
• Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last.