Your primary responsibilities will include implementing end-to-end data integrations, syncing customer's data to Scale's platform and back, and working closely with our customer's engineering teams to optimize data pipelines. You will also design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.

In addition, you will partner with Software Engineers and Operations to remove any technical hurdles customers may face, debug technical issues impacting delivery and own technical escalations coming from the customer. You will be accountable for the customer's technical experience throughout their time with Scale.

The ideal candidate will have a track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way. Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals is also required.

We offer a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position is $190,000-$290,000 USD in San Francisco, New York, and Seattle, $170,000-$260,000 USD in Hawaii, Washington DC, Texas, and Colorado, and $140,000-$220,000 USD in St. Louis.

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As a Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love diving into infrastructure problems and solving them systematically
• You’re curious about how to scale complex ML systems in production environments
• You’re an expert in building and running containerized, distributed systems

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base salary ranges for this role is $180,000 to $200,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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You'll work across Omnibus GitLab, GitLab Helm Charts, the GitLab Environment Toolkit (GET), and the GitLab Operator to improve reliability, security, and scalability in production-grade environments. This is a hands-on role where you'll partner with Distribution Engineers, Site Reliability Engineers, Release Managers, Security, and Development teams to make self-managed GitLab easier to use across a wide range of platforms.

Some examples of our projects:

• Evolve Omnibus GitLab, Helm Charts, GET, and the GitLab Operator to support new GitLab features and architectures

• Improve installation, upgrade, and validation automation for large-scale self-managed GitLab deployments

Maintain and improve the Omnibus GitLab package so GitLab components work reliably in self-managed deployments.

Develop and support GitLab Helm Charts for scalable, production-ready Kubernetes deployments.

Enhance the GitLab Environment Toolkit (GET) and validated reference architectures used by enterprise and internal users.

Support and extend the GitLab Operator for Kubernetes-native lifecycle management of GitLab installations.

Improve the installation, upgrade, and day-to-day operating experience across supported self-managed platforms.

Collaborate with Security to address vulnerabilities and strengthen secure defaults and configurations across the deployment stack.

Build and maintain automation and continuous integration and continuous deployment pipelines that validate deployment tooling across Omnibus, Charts, GET, and the Operator.

Partner with Distribution Engineers, Site Reliability Engineers, Release Managers, and Development teams to integrate new features and keep user-facing documentation accurate and useful.

Experience building and maintaining backend services in production environments, especially in deployment, infrastructure, or platform tooling.

Practical knowledge of Kubernetes operations, including authoring and maintaining Helm charts.

Proficiency with Ruby and Go, along with scripting skills to automate workflows and tooling.

Familiarity with Terraform and infrastructure as code practices across cloud and on-premises environments.

Hands-on experience with relational databases, especially PostgreSQL, including performance and reliability considerations.

Understanding of secure, scalable, and supportable deployment practices, along with observability tools such as Prometheus and Grafana.

Experience collaborating in large codebases and distributed teams, including writing clear user-facing documentation and implementation guides.

Openness to learning new technologies and applying transferable skills across different parts of the GitLab deployment stack.

The Upgrades team is part of GitLab Delivery and delivers GitLab to self-managed users through supported, validated deployment tooling. The team maintains Omnibus GitLab, Helm Charts, the GitLab Operator, and the GitLab Environment Toolkit (GET) to help self-managed users deploy GitLab securely and reliably across diverse environments. You'll join a distributed group of backend engineers that works asynchronously across time zones and collaborates closely with Site Reliability Engineering, Release, Security, and Development teams. The team is focused on improving installation and upgrade workflows, strengthening automation and security, and helping self-managed customers run GitLab successfully at any scale.

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You'll work at the intersection of backend engineering and infrastructure, shaping architecture in Ruby on Rails and Go, guiding decisions around role-based access control (RBAC), GraphQL APIs, and Kubernetes deployment configuration.

In your first year, you'll help move Secrets Manager toward general availability, establish technical patterns the team can build on, and represent the team's point of view in cross-functional discussions.

You'll have end-to-end ownership, from design through production operations, with room to identify what should be built next and improve how the team delivers secure, reliable features.

Responsibilities

• Build and maintain secure, readable backend code primarily in Ruby on Rails, with some development in Go for targeted components.

• Design backend architecture for complex security features, including secrets access control, pipeline security enforcement, and OpenBao integration.

• Lead the development of role-based access control models, GraphQL APIs, and supporting application patterns for features owned by the team.

• Own features end to end, from technical design and implementation through deployment, validation, and production support.

• Collaborate with Product, security partners, and other engineering teams to document tradeoffs, align on direction, and deliver iteratively in a distributed environment.

• Improve code quality, maintainability, security, and performance through code review, design iteration, and internal standards for a high-scale web environment.

• Build and maintain Helm charts, including configuration, tuning, documentation, and automated testing for Kubernetes-based deployments.

• Validate features in Kubernetes environments, including GitLab Cloud Native and Cloud Native Hybrid deployments, using GitLab testing and performance testing frameworks.

Requirements

• Experience building and maintaining backend features with a focus on secure design, data handling, and production reliability.

• Ability to write production-quality code in Ruby on Rails, including use of framework security patterns and review for common application risks.

• Working knowledge of CI/CD concepts and the ways pipelines can be misconfigured, abused, or expose sensitive data.

• Familiarity with secrets management approaches and security practices for handling credentials in CI environments; experience with tools such as HashiCorp Vault or similar systems is helpful.

• Comfort collaborating across Product and engineering teams in an asynchronous, distributed environment and communicating technical tradeoffs clearly in writing.

• Ability to review merge requests with a security-first mindset and improve solutions through feedback and iteration.

• Experience debugging production issues, including investigation of security-related behavior and proposing practical fixes.

• Openness to learning adjacent domains and tools, including Go, container security, and software supply chain security; we welcome transferable experience from different technical backgrounds.

About the Team

The Pipeline Security team builds features that make GitLab CI pipelines more secure and trustworthy for teams running sensitive workloads. We own key parts of pipeline security within GitLab's CI/CD experience, with our current focus on native secrets management for CI pipelines and Supply-chain Levels for Software Artifacts (SLSA) Level 3 capabilities to strengthen software supply chain security.

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You'll help shape the systems and tooling that support environments ranging from single-node virtual machines to large Kubernetes clusters, with a focus on reliability, operational simplicity, upgrade velocity, and zero-downtime capabilities across GitLab.com, GitLab Dedicated, and self-managed deployments.

In this role, you'll partner closely with a Product Manager and work across Infrastructure Platforms to connect customer needs and business goals with practical engineering choices.

This is a hands-on leadership opportunity for someone who wants to support a high-performing team while influencing how GitLab is delivered at scale.

In your first year, you'll help the team deliver better deployment and upgrade experiences, guide technical direction in areas like Kubernetes Operators, Helm charts, and cloud-native deployment architectures, and contribute to incident management to help support the availability of GitLab.com.

Responsibilities

• Guide a globally distributed engineering team and create an environment where team members can do strong work and grow in an all-remote, asynchronous setting.

• Hire onboard, and develop team members who align with GitLab's values and contribute to an outcome-focused engineering organization.

• Manage and improve agile, asynchronous workflows so the team can deliver deployment tooling and services iteratively and reliably.

• Partner with Product Management and engineering peers across Infrastructure Platforms to align team priorities with customer needs and business goals.

• Own the reliability, upgrade experience, and operational simplicity of GitLab deployments across self-managed environments, GitLab.com, and GitLab Dedicated.

• Improve deployment patterns, observability, zero-downtime capabilities, and upgrade orchestration for customers running GitLab on their own infrastructure.

• Apply technical judgment in areas such as Kubernetes Operators, Helm charts, and stateful application delivery to guide choices and unblock the team.

• Participate in incident management and work with reliability and development teams to help maintain the availability of GitLab.com.

Requirements

• Experience guiding deployment tooling, platform engineering, or site reliability engineering teams that operate at meaningful scale.

• Strong technical knowledge of Kubernetes Operators, Helm charts for stateful applications, and upgrade orchestration patterns.

• Familiarity with cloud-native deployment architectures, database lifecycle management, schema migrations, and zero-downtime upgrade strategies.

• Experience working on enterprise-scale or consumer-scale platforms, ideally in a product-focused software environment.

• Ability to investigate complex deployment and operational issues and explain tradeoffs clearly to both technical and non-technical stakeholders.

• Experience building high-performing, distributed teams and supporting team members in an asynchronous, all-remote environment.

• Effective cross-functional skills across functions such as Infrastructure, Support, and Customer Success to improve customer outcomes.

• Openness to diverse paths into the role, including transferable skills, formal computer science education, or equivalent practical experience, along with interest in open source and developer tools.

About the Team

The GitLab Delivery - Operate team is part of the Infrastructure Platforms department, which enables how GitLab operates, scales, and is delivered across GitLab.com, GitLab Dedicated, and self-managed offerings.

We are a globally distributed team that owns deployment tooling and operational patterns to help customers run GitLab reliably on infrastructure ranging from virtual machines to Kubernetes clusters.

We work asynchronously across regions and work closely with other Infrastructure teams, along with Support and Customer Success, to turn lessons from operating GitLab at scale into product and tooling improvements that benefit customers across all deployment models.

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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