Role Description We are seeking a Principal DevOps Engineer to serve as a technical leader within our DevOps organization. This role partners closely with other senior technical leaders to translate strategic platform direction into reliable, scalable, and developer-friendly infrastructure capabilities. The Principal will lead the technical execution of platform initiatives, elevate engineering standards, and drive measurable improvements in reliability, cost efficiency, and delivery velocity. This is a hands-on leadership role. You will design and implement platform capabilities across our serverless and Kubernetes environments, guide senior engineers, and influence engineering practices across teams. Key Responsibilities and Outputs: - Technical Leadership & Execution - Partner with Architects to implement and operationalize platform strategy. - Lead the technical design and delivery of platform capabilities across: - Serverless-first AWS workloads - Kubernetes (EKS) environments - Break down large architectural initiatives into executable milestones. - Guide platform implementation patterns and reusable modules. - Reliability & Operational Improvement - Drive systemic improvements that reduce incident frequency and severity. - Strengthen observability standards (logging, metrics, tracing). - Support adoption of Product focused SRE frameworks across teams. - Improve deployment safety, change management, and incident response practices. - Platform Evolution - Improve CI/CD automation and deployment workflows. - Contribute to Kubernetes cluster design evolution and networking patterns. - Improve logging pipelines, cost visibility, tagging standards, and platform guardrails. - Support platform modernization efforts with a focus on simplification and predictability. - Engineering Enablement - Improve developer experience across platform offerings. - Establish clear golden paths for deployment and monitoring. - Contribute to DORA metric visibility and engineering performance improvements. - Support responsible AI tooling adoption in our workflows. - Influence & Mentorship - Mentor senior engineers and elevate platform engineering standards. - Lead technical discussions and design reviews. - Make tradeoffs visible and articulate technical risk clearly. - Reinforce disciplined intake and prioritization practices to protect strategic capacity. Qualifications - 8–12+ years in infrastructure, SRE, or platform engineering. - Experience operating serverless and Kubernetes environments at scale. - Proven track record improving reliability and reducing operational toil. - Experience collaborating closely with multiple engineering teams. Requirements - Strong AWS expertise (Lambda, API Gateway, Step Functions, DynamoDB, S3, IAM, VPC). - Strong Kubernetes/EKS experience including networking and observability. - Advanced Infrastructure as Code (Terraform preferred). - Strong CI/CD pipeline design experience. - Experience with observability tooling (OpenTelemetry, OpenSearch, Prometheus/Grafana, CloudWatch). - Strong understanding of distributed systems and reliability engineering. Benefits - Remote First Culture - Health Care Coverage - Education Reimbursement - Competitive Paid Time Off - Self-Care Days - National Holidays - 2 Founder Days + Juneteenth Observed - Paid Volunteer Time Off - Charitable Contribution Match - Monthly Wellness or Home Office Reimbursement - Access to Employee Assistance Program (mental health platform) - Parental Leave - Retirement Plan with match/contribution

• Build and operate model and inference serving infrastructure • Own the ML deployment lifecycle • Operate agentic and LLM workloads in production • Build reproducible, automated ML pipelines • Extend infrastructure-as-code to ML systems • Operate GitOps for ML workloads • Run ML and AI workloads on multi-tenant Kubernetes • Own ML reliability and observability • Drive ML cost efficiency • Use agentic coding tools for infrastructure and pipeline work

Role Description We're hiring a Senior DevOps Engineer to lead significant improvements across the reliability, operability, and delivery of our platform. You'll work across the full lifecycle: - Understanding where our engineering teams are feeling friction today. - Designing pragmatic infrastructure and deployment improvements. - Shipping improvements safely and supporting them in production. You'll be working on a containerised platform running in Kubernetes, with Google Cloud-hosted services, Cloud SQL-backed applications, Redis, RabbitMQ, and a CI/CD flow built around Docker, Jenkins, and our deployment tooling. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter. Qualifications - Kubernetes depth: Comfortable operating production Kubernetes environments and improving how services are deployed, configured, and run day-to-day. - Cloud platform experience: Strong hands-on experience with a major cloud provider - ideally GCP - including networking, IAM, managed services, and the trade-offs between building and buying. - CI/CD and release engineering: You've built or significantly improved delivery pipelines and understand how to balance speed with safety, traceability, and roll back confidence. - Containers and Linux fundamentals: Comfortable debugging containerised workloads, understanding what is happening at the process/network/filesystem level, and getting to root cause without guesswork. - Observability and incident handling: You know what good operational visibility looks like and can improve logging, metrics, alerting, and incident response in practical ways. - Automation instinct: Strong scripting and automation skills (Bash, Python, or similar) with the instinct to remove repetitive manual work rather than normalise it. - Security and secrets awareness: You take a thoughtful approach to access, credentials, service boundaries, and production change risk. - Engineering partnership: Can work well with software engineers and technical leaders to refine operational needs, push back constructively, and improve the platform without becoming a ticket firewall. - AI-assisted development: You use modern AI tooling (Claude Code, Cursor, Copilot or similar) to accelerate investigation, automation, and delivery - and you have a healthy scepticism of its output. You don't automate your judgment away. - Communication and judgment: Strong problem-solving, attention to detail, and the ability to explain trade-offs clearly to both engineers and non-engineers. Requirements - Experience supporting PHP/Symfony application estates or similar service-oriented web platforms. - Experience with Cloud SQL / MySQL, Redis, RabbitMQ, or similar managed data and messaging components. - Background working across a mixed estate of legacy and modern services, where incremental improvement matters more than greenfield purity. - Infrastructure-as-code experience (Terraform or similar). - Cost optimisation, capacity planning, or performance tuning experience in a production cloud environment. - Experience improving internal developer platforms, golden paths, or self-service tooling for engineering teams. Benefits - Curated career progression planning with formal yearly reviews and informal check-ins along the way. - Encouragement to grow into a Feature Development Lead. - A competitive salary. - Ample time to learn new concepts - including paid development and business-related conferences. - Fully remote working, no commuting expenses. - Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you. - 25 days holiday (plus bank holidays), with an additional day per year of service. - Regular all-company socials and quarterly team socials. - A team that genuinely likes learning and shipping together.

• Design, build, and maintain CI/CD pipelines and infrastructure automation workflows • Manage and optimize cloud infrastructure on AWS using Terraform and Terragrunt • Support and monitor production environments, ensuring high reliability and performance • Handle incident management and lead root cause analysis for production issues • Collaborate closely with platform teams and stakeholders across the organization • Contribute to and enforce DevOps best practices and standards