Live opening · Posted 1 day ago

DevOps Engineer

Evlo AI · New York, NY (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyEvlo AI
LocationNew York, NY (Remote)
Work modeYes
SourceLinkedin
Listed1 day ago

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About the role

Description supplied by the original job listing.

About The Role
The DevOps Engineer builds and operates the infrastructure that runs production services at scale. The role spans cloud architecture, deployment automation, observability, incident response, and reliability engineering across containerized workloads and distributed systems.
You will partner with software engineers and security teams to improve delivery speed without compromising stability. The team is looking for an engineer who can turn operational needs into repeatable platforms, clear runbooks, and measurable improvements in system availability and performance.
Key Responsibilities
Design and manage highly available infrastructure on AWS, including VPCs, IAM, EC2, EKS, RDS, S3, and CloudWatch
Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or comparable tooling to automate testing, releases, and rollback procedures
Provision and configure infrastructure with Terraform, Helm, and Kubernetes while maintaining reusable, version-controlled modules
Develop observability systems using Prometheus, Grafana, OpenTelemetry, Datadog, or similar tools to track availability, latency, capacity, and error budgets
Lead incident response for production issues, coordinate technical remediation, and improve runbooks and post-incident action plans
Harden production environments through access controls, secrets management, vulnerability remediation, patching, and infrastructure-as-code reviews
Collaborate with application teams to improve service reliability, deployment safety, scalability, and operational readiness before launch
What We Are Looking For
3–8 years of experience in DevOps, site reliability engineering, platform engineering, or a closely related infrastructure role
Hands-on experience operating production workloads in AWS or another major cloud provider, including networking, compute, storage, identity, and managed databases
Strong Kubernetes experience, including deployments, services, ingress, resource management, troubleshooting, and Helm-based releases
Proficiency with Terraform or an equivalent infrastructure-as-code tool and practical experience designing maintainable CI/CD pipelines
Working knowledge of Linux administration, Bash or Python scripting, Git workflows, and common networking concepts such as DNS, TLS, HTTP, and load balancing
Experience with monitoring, logging, tracing, on-call operations, incident management, and reliability practices such as SLIs, SLOs, and error budgets
Bachelor’s degree in computer science, engineering, information technology, or a related field, or equivalent practical experience; Bonus: experience with Go, service meshes, ArgoCD, Vault, Kafka, multi-cloud environments, or compliance-focused infrastructure

Work arrangement
Yes

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