Senior Software Engineer, Infrastructure and Efficiency

Responsibilities

We are representing a confidential streaming technology organization that is seeking a Senior Software Engineer to drive infrastructure, productivity, and enterprise tooling strategy across globally distributed teams. This is a highly visible role reporting directly to a Vice President of Engineering, where you will serve as a subject matter expert and technical leader who partners with Engineering, Product, and Security teams worldwide.

AI-First Automation & Intelligent Tooling

• Define and lead an AI-first automation roadmap for engineering infrastructure and enterprise tooling, reducing waste, accelerating reviews, improving incident response, and increasing release confidence
• Architect and ship AI/LLM-enabled workflow automation across the software development lifecycle, including risk assessment, automated build/test/deployment, intelligent test selection, change-impact analysis, and auto-triage of build and test failures
• Establish policies and guardrails for AI usage in internal tools, covering data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention

Developer Productivity & Enterprise Tooling at Global Scale

• Set technical direction and standards for globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools
• Architect and evolve CI/CD and build/test pipelines using Jenkins, Docker, and build systems to support multi-site engineering environments
• Own and scale test and quality workflows leveraging test management systems, enabling consistent traceability, reporting, and release sign-off across distributed teams
• Drive Jira workflow design and automation through templates, guardrails, and integrations to provide consistent cross-organization visibility and execution

Workflow Automation Across Functions and Geographies

• Design and implement automation spanning Engineering, Product, Marketing, and Partners, including launch readiness, certification/release checklists, partner onboarding, and incident/change workflows
• Replace manual coordination with durable automation and integrations that work reliably across regions and time zones

Security, Cost, Performance, and Reliability

• Embed secure-by-default controls into pipelines and tooling, covering access control, secrets handling, audit trails, and policy enforcement, including for AI-enabled systems
• Improve build/test performance and reliability using measurable KPIs and operational rigor, focusing on build times, test duration, flake reduction, and pipeline stability
• Drive cost efficiencies across tooling and infrastructure, including compute utilization, caching strategies, license rationalization, AI/runtime costs, and ROI tracking
• Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution
• Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems
• Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations

What We're Looking For

Required Experience and Skills

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience
• Prior experience at Staff, Principal, or Architect level
• Demonstrated ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems
• Extensive experience with software development on embedded Linux, multi-process architectures, and IPC mechanisms
• Experience working in large cross-functional teams with the ability to influence teams that don't report to you
• Ability to see the big picture while focused on short-term objectives and deliverables
• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines

Strong, Hands-On Knowledge of:

• Git workflows, branching strategies, and release management
• Jenkins for CI/CD pipeline design, scaling, and reliability
• Docker containers for reproducible build/test execution
• Build systems (BitBake/Yocto preferred)
• Jira workflow design/automation and cross-team visibility
• Test management systems (TestRail or equivalent)

AI and Automation Expertise

• Experience building AI-assisted developer tooling such as CI insights, test intelligence, code review automation, release risk scoring, or incident copilots
• Fluency across the agentic engineering toolchain, including coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks
• Demonstrated ability to ship real work using AI tools, drive an agent, verify its output, and ramp on unfamiliar codebases with agent assistance
• Experience implementing evaluation and monitoring for AI systems, including quality metrics, drift detection, offline test sets, and human feedback loops

Additional Strengths

• Demonstrated experience delivering automation at scale, including building platforms and components used by multiple teams
• Strong systems thinking across security, reliability, performance, and cost tradeoffs
• Excellent written communication skills for architecture documentation, decision records, and operating procedures

How We Work With You

Our talent team at Get A Job.ai will guide you through the entire process. When you apply through our platform at getajob.ai, one of our recruiters will screen your background and skills. If there's a strong match, we'll submit your profile to our client for consideration. Please note that you should not contact the client directly—we will manage all communication and coordination on your behalf to ensure the best outcome for your candidacy.

This role is based in Manchester and follows a hybrid working arrangement, with teams generally working in the office Monday through Thursday, and Fridays available for remote work.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity

Get A Job.ai is committed to providing equal employment opportunities to all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic. We celebrate diversity and are dedicated to creating an inclusive environment for all candidates and employees.