DevOps Engineer — Boston, MA

About The Role

The role owns the infrastructure that keeps production systems running at scale - Kubernetes clusters, CI/CD pipelines, cloud networking, and the observability stack that tells the team when something is wrong before customers notice.

This position sits at the intersection of platform engineering and reliability: building self-service tooling for developers, automating away manual toil, and being part of the incident response rotation for systems that can't afford downtime.

Key Responsibilities

• Design, build, and maintain Kubernetes-based infrastructure on AWS (EKS) using Terraform, with infrastructure-as-code as the default, not an afterthought

• Own and evolve CI/CD pipelines (GitHub Actions or GitLab CI) supporting 50+ services with fast, safe deployment practices including canary releases and automated rollbacks

• Build and maintain observability tooling - Prometheus, Grafana, distributed tracing with OpenTelemetry - with actionable alerts tied to SLOs, not noisy dashboards

• Improve system reliability measurably: participate in on-call rotation, lead blameless postmortems, and drive remediation of root causes rather than symptoms

• Harden cloud security posture: IAM least-privilege policies, secrets management with Vault, network segmentation, and automated compliance checks

• Optimize infrastructure costs across compute, storage, and networking - identifying waste and right-sizing with data, targeting 20-30% efficiency gains

• Partner with application engineers to improve deployment ergonomics, reduce lead time to production, and eliminate fragile manual processes

What We Are Looking For

• 3-6 years of experience in DevOps, SRE, or infrastructure engineering, running production systems at meaningful scale

• Deep hands-on experience with Kubernetes in production - including debugging workloads, managing upgrades, and writing operators or Helm charts

• Strong infrastructure-as-code skills with Terraform (or Pulumi) and configuration management across a major cloud provider (AWS, GCP, or Azure)

• Proficiency in at least one systems language: Go, Python, or Bash for tooling and automation

• Solid grounding in Linux internals, networking (DNS, TLS, load balancing), and distributed systems failure modes

• Bachelor's degree in Computer Science or equivalent practical experience; track record of incident response and reliability work

• Bonus: Experience with service mesh (Istio/Linkerd), multi-region architectures, GitOps tooling (ArgoCD/Flux), or SOC 2 / FedRAMP compliance environments