Team Lead, DevX Platform as a Service

- Own team operations for DevX PaaS: run 1:1s, sprint ceremonies, and quarterly capacity and project planning, and represent PaaS in Engineering Platform planning and prioritization forums.

- Grow the engineers on your team through coaching, feedback, and equitable allocation of high-impact, growth-oriented work - including an "epic lead" model where engineers own end-to-end delivery of major initiatives.

- Shape the team's quarterly portfolio so that the team's energy is spent on the highest-leverage work, balancing a heavy load of non-discretionary platform work (upgrades, migrations, maintenance, on-call) against modernization and strategic initiatives.

- Be the primary point of contact for PaaS across Engineering Platform - framing problems, aligning on scope, and making sure downstream teams understand impacts and timelines.

- Help design, build, and operate the Kubernetes platform on AWS EKS with a focus on reliability, security, and developer ergonomics (multi-env, multi-region).

- Guide the team's Controller/Operator and deployment model (e.g., CGService) to provide consistent, self-service delivery across repositories and environments.

- Lead critical upgrades and rollouts: Kubernetes, Rancher, and routine add-on upgrades utilizing ArgoCD and HCP Terraform.

- Set the direction for autoscaling across product and EP services - driving automated scale-down, day-2 EKS optimizations, and cost/performance wins in partnership with product teams.

- Champion agentic and AI-assisted workflows for cluster maintenance - automating EKS upgrades, PR generation, and bundled maintenance to reduce manual toil and create predictable, low-disruption maintenance windows.

- Advance service discovery (and eventually service mesh) to provide a robust, automated way for services to find and communicate with each other, reducing hard-coded dependencies and improving system resilience.

- Expand our proprietary Mach5 platform with AWS-native capabilities, continuing to shield developers from Kubernetes complexity while modernizing the underlying stack.

- Guide remaining platform modernization, including the tail end of the ingress-nginx retirement / Gateway API migration, to simplify developer configuration and reduce operational toil.

- Pilot a more scalable, AI-assisted support model for developer questions - starting with PaaS - by curating documentation, embedding AI into the support flow, and reducing the manual triage burden on the team.

- Raise platform reliability by hardening alerting/runbooks and participating in the team's on-call rotation with sensible, business-hours expectations and documented handoffs.

- Represent PaaS in EP-level forums (all-hands, capacity planning, leads meetings), translating technical trade-offs into clear, audience-appropriate language for both engineers and executive stakeholders.

- Build relationships across DevX, Engineering Platform, and product teams to advocate for the platform work that matters and to keep partners aligned and informed.

- Champion a healthy, customer-centric operating model where platform priorities are visible and traceable to the outcomes our customer teams care about.

- 5+ years of experience as a software engineer in a professional setting, with some experience leading projects, mentoring engineers, or acting as a tech lead / team lead.

- Deep Kubernetes/EKS experience operating production workloads at scale, with proficiency in containerization and cloud environments.

- Strong Go (or equivalent) systems programming skills; familiarity with controller/operator patterns is a plus.

- AWS fluency across core primitives (networking, IAM, load balancing, storage) and platform guardrails.

- Infrastructure as Code experience (Terraform, Helm, ArgoCD, GitHub-based workflows) and CI/CD automation.

- An observability and SRE mindset: metrics, tracing, logging, SLOs, incident response, and post-incident learning.

- A security-by-default bent: policy-as-code (e.g., Kyverno), least-privilege, image/runtime controls.

- People leadership instincts: you enjoy growing engineers, running a calm and predictable team, and making sharp prioritization calls under competing demands.

- Developer empathy and clear communication; you enjoy building paved roads that hundreds of engineers can rely on, and you can tailor your message to both technical and non-technical audiences.

- An enthusiasm for leveraging AI to accelerate both your team's work and how the platform enables engineering.