DevOps Engineer

Evlo AI; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Evlo AI in Boston seeks a hands-on DevOps/SRE engineer to own production infrastructure at scale. You will manage Kubernetes on AWS (EKS), CI/CD pipelines, and observability to prevent outages before customers notice.

You’ll join a team at the intersection of platform engineering and reliability, building self-service tooling and automating toil while participating in on-call rotations to improve resilience and security.

Qualifications

• Bachelor’s degree in CS or equivalent practical experience.
• 3–6 years of experience in DevOps, SRE, or infrastructure engineering.
• Hands-on production Kubernetes experience, including upgrades and debugging.
• Strong Terraform or Pulumi IaC experience across major cloud providers.
• Proficiency in Go, Python, or Bash for tooling.
• Solid Linux internals and networking knowledge; distributed systems insight.
• Experience with service mesh or SOC2/FedRAMP is a plus.

Responsibilities

• Design, build, and maintain Kubernetes-based infra on AWS (EKS) using Terraform.
• Own CI/CD pipelines (GitHub Actions or GitLab CI) for 50+ services with safe deploys.
• Build observability tooling with Prometheus, Grafana, OpenTelemetry.
• Contribute to on-call rotations and postmortems to drive root-cause remediation.
• Harden cloud security posture with IAM, secrets management, and network segmentation.
• Identify cost-saving opportunities to improve efficiency by 20–30%.
• Collaborate with application teams to improve deployment ergonomics and reduce toil.

Skills

DevOps/SRE

Kubernetes

Terraform

Cloud platforms

Go/Python/Bash

Linux networking

Education

Bachelor's degree in CS

Tools

GitHub Actions

GitLab CI

Job description

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.

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