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Key responsibilities include:

• Leading all phases of large capital and O\&M projects, from initiation to completion, including design, budgeting, scheduling, and execution.
• Developing business cases for new projects and assessing their impact, collaborating with SPC's Project Analysis & Market Assessment (PAMA) team as necessary.
• Conducting cost-benefit analyses to inform project prioritization.
• Developing and managing the five-year capital budget and plan.
• Supporting the SPC Budget Analyst with invoice reconciliation, accruals, variance explanations, and projections.
• Leading contract management and administration processes to support successful project delivery and maintain compliance.
• Driving service requests and team coordination for successful delivery of multidisciplinary projects.
• Facilitating clear and consistent communication and collaboration among Southern Company Services resources, contractors, vendors, Renewable O\&M Asset Managers, and site stakeholders.

• Performing technical analyses, feasibility studies, and risk assessments to guide strategic decisions.
• Developing clear technical reports and presentations for management and stakeholders.
• Delivering technical solutions that maximize facility availability, reliability, and performance.
• Leading root cause investigations of major events and equipment failures with cross-functional teams to ensure timely resolution.
• Monitoring industry trends and emerging technologies to drive innovation.
• Recommending and implementing improvements that enhance site performance and operational efficiency.

• Driving fleet-wide adoption of standardization, best practices, and strategic initiatives to ensure consistency and operational excellence.
• Developing and implementing maintenance strategies that optimize reliability, reduce downtime, and extend asset life.

• Contributing to project teams evaluating operational and financial risks for acquisitions, development projects, and repowers.
• Performing O\&M contract development of renewable facilities targeted for repower, acquisition, or development by SPC.
• Collaborating with internal stakeholders and external partners to ensure smooth integration of acquired assets, new developments, and repower projects.

This position requires a minimum of 3 years of experience in power plant operations and maintenance, project engineering, financial modeling, or asset management, preferably in renewables.

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In this role, you'll go beyond using AI tools and help define how we design, build, and iterate on AI-assisted and agentic CI experiences. You'll set standards for what good looks like across our AI agent portfolio, including how we measure success, how we instrument behavior in production, and how we account for large language model limitations. You'll also help responsibly integrate GitLab's Duo Agent Platform into CI workflows at scale, on a foundation that's fast, reliable, secure, and observable.

We have ambitious goals for Agentic CI in FY27. As a Staff Engineer, you will:

• Partner with Engineering, Product, and UX leadership to pressure-test our priorities: where we can move faster, where we're missing data, and where there's whitespace to innovate. Part of this includes learning and growing with the Engineering team you will collaborate closely with.

• Define what success looks like across our agent portfolio and make sure we're tracking against it , not just shipping, but learning.

• Bring a sharp eye to the competitive landscape, helping us understand what it takes to keep GitLab CI best-in-class in an increasingly agentic world.

Examples of Agentic CI work we have planned for the upcoming year:

• AI Pipeline Builder, the foundational CI agent that auto-creates pipelines for new projects and serves as the launchpad for onboarding new CI users.

• Automate the Fix a Failing Pipeline flow at scale – from dogfooding on internal GitLab projects through to safe, controlled rollout for customers, solving real infrastructure and scalability challenges.

• Build the instrumentation and observability layer that makes agentic CI trustworthy , trigger volume dashboards, retry rates, cost safeguards , so we can measure what's working, catch what isn't, and iterate with confidence.

• Harden the CI pipeline execution infrastructure that these agents depend on: database access patterns, background processing, and job orchestration built to handle the additional load that AI-driven automation introduces at enterprise scale.

You'll shape and scale GitLab CI backend infrastructure to improve performance, reliability, and usability for users running jobs at high volume. You'll design and implement AI-powered features for Agentic CI, including agents, agentic flows, and LLM-backed tooling that integrates with GitLab's Duo Agent Platform. You'll define what success looks like for AI in CI before you build, including baselines, measurable outcomes, and clear signals that help the team learn and iterate. You'll build the instrumentation and observability needed to make AI-assisted CI trustworthy in production, including feature behavior metrics, dashboards, and safeguards. You'll own and drive measurable performance improvements across CI systems (for example, database access patterns, background processing, and job orchestration) by forming hypotheses, running experiments, and validating results with data. You'll write secure, well-tested, maintainable Ruby on Rails code in a large monolith, improving existing features while reducing technical debt and operational risk. You'll lead cross-functional technical work with Product, UX, and Infrastructure, influencing architecture and execution across the Verify stage. You'll share standards, patterns, and learnings with other engineers, raising the bar for responsible AI integration and evidence-driven engineering across CI.

This role requires advanced proficiency with Ruby and Ruby on Rails, with experience building and maintaining reliable backend services in a large codebase. You should have strong PostgreSQL skills, including data modeling, query tuning, and scaling large tables through proactive performance investigation and remediation. You should have hands-on experience building, running, and debugging high-traffic production systems, ideally in CI, workflow orchestration, or adjacent infrastructure-heavy domains. You should have practical experience designing and shipping AI-powered backend features and integrations, including sound judgment about large language model limitations and responsible use in production. You should have a data-driven approach to engineering: defining hypotheses, establishing baseline metrics, instrumenting changes, and measuring outcomes against clear success criteria. You should have familiarity with observability patterns and tools (metrics, logging, tracing) to diagnose issues, improve reliability, and guide iteration. You should have strong backend architecture and delivery practices, including secure design, well-tested code, and strategies for safe rollouts and zero-downtime changes. You should have clear written and verbal communication skills, including writing technical proposals and documentation, and collaborating effectively in a remote, asynchronous, cross-functional environment.

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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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