Senior Platform Engineer
Role details
Job location
Tech stack
Job description
This is not a standard DevOps posting. We are looking for one unusually capable, AI-native engineer to own our entire platform engineering and SRE function - using autonomous agents, LLM-powered pipelines, and MCP-based tooling as force multipliers to do the work of a team, on-site, in close partnership with our engineering leadership. You will inherit a mature, fully containerized AWS estate (9 EKS clusters, 27 accounts, 228 Kubernetes nodes), an Akamai CDN layer managing live traffic splits, GitHub Actions + Jenkins CI/CD pipelines for a Webpack 5 micro-frontend monorepo, and an operational AI agent platform - OpsWhisperer - already in production monitoring 25 AWS accounts with a 91% autonomous resolution.
Requirements
Do you have experience in Tooling?, To excel in this role, you should possess:
- 10+ years of hands-on DevOps, SRE, or platform engineering experience in production AWS cloud environments.
- Deep AWS expertise: EKS, EC2, SQS, CloudWatch, IAM, Organizations, and multi-account architectures
- Strong Experience with Infrastructure as code tools like terraform or cloudformation
- Strong Kubernetes skills: cluster operations, node group management, workload isolation, taints/tolerations, auto-scaling
- Experience with Akamai or equivalent enterprise CDN - configuration, purge operations, traffic routing rules
- CI/CD ownership: GitHub Actions and/or Jenkins pipeline design, monorepo build systems, release gating
- Production experience building or operating AI agents - LLM integration, autonomous workflow design, prompt engineering
- Proficiency in Node.js and/or Python for automation, tooling, and MCP server development
- Observability stack ownership: Elastic/Kibana, log analysis, alerting design, SLO/SLI instrumentation
- Comfortable owning on-call responsibility for a production e-commerce platform with significant revenue exposure
- Strong written and verbal communication, will interface with engineering leadership and present findings to executives
Soft Skills:
- Strong problem-solving and debugging skills
- Excellent communication and collaboration abilities
- Ability to work independently and take ownership of projects
- Leadership and mentorship mindset
- Attention to detail and commitment to high-quality user experiences
Benefits & conditions
Why you will love GTS:
- Join a powerful tech workforce and help us change the world through technology
- Professional development opportunities with international customers
- Collaborative work environment
- Career path and mentorship programs that will lead to new levels.
Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.