You will document and share your knowledge with the rest of the organization and our customers using Knowledge Centered-Services (KCS) methodology. You will also have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.

To be successful in this role, you will need to work across multi-cultural and geographically distributed teams. You will have 3+ years of proven experience in Technical Support in a Software business, a technical background in fields like Information Technology, Network Engineering, Software Engineering, and a 'Customer First' mindset.

You will be a team player, able to work in a fast-paced environment with a positive and adaptable approach. You will have knowledge of databases (SQL / No SQL) or search software technologies, experience with SaaS and/or Distributed systems, experience with Linux/Unix, experience with APIs, familiarity with Knowledge Centered-Services (KCS), and highly collaborative.

Native Korean language skills and professional working proficiency in English are required, as well as effective verbal and written communication skills.

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We are looking for a skilled Senior Site Reliability Engineer to join our Tenant Services, Geo team. As a Senior Site Reliability Engineer, you will be responsible for ensuring the smooth operation of our user-facing services and production systems.

About Us

GitLab is the intelligent orchestration platform for DevSecOps. It enables organisations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.

Responsibilities

• Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.
• Join the team's shift and weekend coverage rotation for Dedicated cutovers across EMEA and US hours, and participate in the SaaS Site Reliability Engineering (SRE) on-call rotation to respond to incidents that impact GitLab.com availability.
• Operate and improve the Geo operational surface for Dedicated, including:
• Environment preparation and data hygiene checks prior to migrations.
• Execution of replication, validation, and cutover procedures.
• Handling Geo-related escalations from Support and internal partners.
• Design, build, and maintain automation, tooling, and runbooks that make migrations, cutovers, and Geo escalations as 'boring' and repeatable as possible.
• Run our infrastructure with tools such as Ansible, Chef, Terraform, GitLab CI/CD, and Kubernetes; contribute improvements back to GitLab's product and infrastructure where appropriate.
• Build and maintain monitoring, alerting, and dashboards that:
• Detect symptoms early, not just outages.
• Track migration and cutover success rates, duration, rollback frequency, and related SLOs.
• Collaborate closely with:
• The core Geo team on improving Geo features and operability.
• Dedicated migrations and Support on migration planning, customer communications, and escalation handling.
• Other Infrastructure teams on capacity planning, disaster recovery, and reliability improvements.
• Contribute to readiness reviews, incident reviews, and root cause analyses, turning learnings into changes in automation, process, or product.
• Document every action, including runbooks, architecture decisions, and post-incident reviews, so your findings turn into repeatable practices and automation.
• Proactively identify and reduce toil by automating repetitive operational work and simplifying migration workflows.

Requirements

• Experience operating highly-available distributed systems at scale, ideally in a SaaS environment with customer-facing SLAs.
• Hands-on experience with at least one major cloud provider (e.g., Google Cloud Platform or Amazon Web Services), including networking, storage, and managed services.
• Experience with Kubernetes and its ecosystem (e.g., Helm), including deploying and troubleshooting workloads.
• Experience with infrastructure as code and configuration management tools such as Terraform, Ansible, or Chef.
• Strong programming skills in at least one general-purpose language (preferably Go or Ruby) and proficiency with scripting (e.g., Shell, Python).
• Experience with observability systems (e.g., Prometheus, Grafana, logging stacks) and using metrics and logs to troubleshoot performance and reliability issues.
• Practical exposure to data replication, backup/restore, or migration scenarios (e.g., database replication, storage replication, or Geo-like technologies) where data integrity and downtime risk must be carefully managed.
• Comfort participating in an on-call rotation, investigating incidents across the stack, and driving follow-through on corrective actions.
• Ability to engage directly with enterprise customers during migrations and incidents, including on live calls and through clear written updates.
• Ability to clearly define problems, propose options, and think beyond immediate fixes to improve systems and processes over time.
• Ability to be a 'manager of one': self-directed, organized, and able to drive work to completion in a remote, asynchronous environment.
• Strong written and verbal communication skills, with a bias toward clear, asynchronous documentation and collaboration.
• Alignment with our company values and a commitment to working in accordance with those values.

Nice to Have

• Experience working with disaster recovery technologies.
• Experience with managed/hosted environments similar to GitLab Dedicated, including regulated or compliance-sensitive customers (e.g., SOC2, ISO).
• Prior work on large-scale data migrations or cutovers where customer data integrity, performance, and downtime risk had to be carefully balanced.
• Hands-on experience designing and operating database replication, backup/restore, and cutover workflows (for example, PostgreSQL or cloud-managed equivalents such as AWS RDS), including planning and executing low-risk migrations for large datasets.
• Experience with multi-tenant architectures, sharding, or routing strategies in high-traffic SaaS platforms.
• Familiarity with GitLab (self-managed or SaaS), and/or contributions to open source projects.

Benefits

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

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In fact, you'll be building the very foundation that the rest of our developer platform,from Pages to R2,is built upon. You will tackle the complex challenges of distributed systems and high-traffic APIs every single day. Your mission? To build and scale the platform that lets customers upload, configure, and manage their Workers, ensuring it's incredibly fast, extremely resilient, and scales effortlessly.

You’ll drive projects from the initial idea to global release, delivering solutions at every layer of the stack. You’ll get to master a diverse and modern tech stack, writing high-performance Go, architecting APIs, optimizing storage interactions, building Workers with JavaScript/TypeScript, and managing it all on Kubernetes.

We're looking for engineers who are obsessed with the developer experience and thrive on solving large-scale problems with a track record to prove it. If you care as much about the quality of the user's experience as you do about the quality of your code, and you want to join a high-impact, fast-growing team helping to build a better Internet, we want to talk to you.

This role is about solving some of the most challenging problems in large scale, distributed systems. You'll be making a massive, direct impact on the broader developer community. Build & Architect for Massive Scale - Own the core architecture of the Workers control plane, the system that deploys and configures millions of applications globally.

Proactively identify and eliminate performance bottlenecks, re-architecting critical services to handle exponential growth. Design and implement resilient database schemas and read/write patterns built to support exponential platform growth and long-term usage.

Evolve our services into a true developer platform, building the foundational capabilities that unlock future products.

Drive for Extreme Performance & Reliability - Obsess over the developer experience, with a relentless focus on reducing API latency and increasing API availability.

Own the reliability of one of Cloudflare’s most critical, customer-facing systems. Take pride in production ownership by participating in an on-call rotation to ensure our platform is always on.

Lead, Collaborate, & Innovate - Partner directly with Product Managers and customers to translate complex problems into simple, elegant, and scalable solutions.

Lead technical design from the ground up, collaborating with a brilliant, globally-distributed team of engineers.

Act as a mentor and knowledge-sharer, leveling up the entire team.

Constantly research, prototype, and introduce cutting-edge technologies to solve new classes of problems.

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Your role demands a highly adaptable and comprehensive technical skillset, as you'll not only create net-new backend services and capabilities but also integrate with and build upon a wide range of existing backend and frontend services. Your impact will be significant as you collaborate directly with our Global Operations teams to identify critical pain points, prioritize initiatives, translate operational needs into technical requirements, and ultimately design, develop, and deploy solutions that empower our entire organization.

Technical Skills:

• Rapidly understand and navigate diverse existing codebases across various internal systems.
• Author robust, high-quality, and well-tested solutions that span multiple backend and frontend services.
• Contribute to secure, resilient internal infrastructure from the ground up, and ensure its ongoing health.
• Actively participate in code reviews for changes impacting multiple teams, fostering an efficient, deterministic testing culture with an emphasis on minimizing technical debt across our internal systems.
• Solve complex software design problems that optimize internal operations.

Complexity and Impact of Work:

• Break down large, cross-functional internal projects into manageable tasks, accurately estimating multi-person efforts.
• Ship code and solutions that directly improve the daily efficiency and productivity of global operations teams.
• Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice) in an evolving internal environment.

Organizational Knowledge:

• Jump between and contribute to a wide array of internal systems and operational workflows supporting different business functions.
• Collaborate closely and cross-functionally with Global Operations and other internal stakeholders to understand critical needs and gain alignment on solutions.
• Help scale the team and its impact across the organization.

Communication and Influence:

• Influence the technical direction and roadmap for internal systems, ensuring our technology directly addresses operational needs.
• Mentor and guide other engineers, sharing expertise on navigating diverse internal codebases and understanding the strategic operational goals.

You may be a fit for this role if you:

• Have 5+ years of professional experience building and enhancing complex internal software systems.
• Have experience designing, building and deploying cloud native micro-services.
• Are passionate about building automated tests alongside your features.
• Have real-world experience building complex distributed systems.
• Enjoy building services from scratch and supporting them over a meaningful period of time.
• Have a genuine interest and pride in code quality and infrastructure.
• Prioritize end-user experience and business value over 'cool tech.'
• Developed 'computer science fundamentals', i.e. algorithms, data structures and operating systems (Formal CS degree NOT required).
• Self-describe as some combination of the following: creative, humble, ambitious, detail-oriented, hard-working, trustworthy, eager to learn, methodical, action-oriented, and tenacious.

Although not a requirement, bonus points if:

• Professional experience with Python or Go.
• Professional experience with Kubernetes.
• Have experience with system security (e.g. authentication, authorization, identity, API keys).
• Have a background in the finance industry.
• Were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.

Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include...

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.

• AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.

• Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.

• Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research.

• Alignment Assessments: Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card), misalignment-risk safety cases, and coordination with third-party evaluators.

• Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.

• Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more.

_Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area._

Representative projects:

• Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subvertinng our interventions.

• Run multi-agent reinforcement learning experiments to test out techniques like AI Debate.

• Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.

• Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts.

• Contribute ideas, figures, and writing to research papers, blog posts, and talks.

• Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy.

You may be a good fit if you:

• Have significant software, ML, or research engineering experience

• Have some experience contributing to empirical AI research projects

• Have some familiarity with technical AI safety research

• Prefer fast-moving collaborative projects to extensive solo efforts

• Pick up slack, even if it goes outside your job description

• Care about the impacts of AI

Strong candidates may also:

• Have experience authoring research papers in machine learning, NLP, or AI safety

• Have experience with LLMs

• Have experience with reinforcement learning

• Have experience with Kubernetes clusters and complex shared codebases

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$350,000 \- $500,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruits through our website and other job boards, and we will never ask you to pay for any part of the recruitment process.

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