AgileEngine – Senior/Lead DevOps Engineer
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
Why Join Us
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
About the Role
We are looking for a Senior/Lead DevOps Engineer to deploy and operationalize a new Kubernetes-based cloud environment on AWS for a short-term project.
MUST HAVE'S
- 5+ years of DevOps, SRE, Platform Engineering, or Cloud Engineering experience.
- 4+ years supporting Kubernetes in production environments.
- Demonstrated experience deploying and operating AWS-hosted applications.
- Experience leading technical implementation efforts with minimal supervision.
- Strong troubleshooting and root-cause analysis skills.
- Kubernetes, EKS, and Helm.
- Argo CD and Service Mesh technologies.
- Ingress controllers, container networking, storage and persistence, cluster operations and upgrades.
- AWS services, including VPC, EC2, EKS, IAM, Route 53, ALB/NLB, RDS, CloudWatch, S3, Secrets Manager, and Systems Manager Parameter Store.
- GitLab, GitLab CI/CD, GitOps workflows, Infrastructure as Code, Terraform.
- Bash, Python, or Go.
- Upper-intermediate English level.
NICE TO HAVE'S
- CNCF ecosystem technologies: Cilium, Hubble, Prometheus, Grafana, Fluent Bit, OpenTelemetry, Karpenter, Crossplane, Kyverno, Tetragon, ExternalDNS, cert-manager.
- Backstage, Internal Developer Platforms, Self-Service Infrastructure, Golden Path Engineering, Environment Automation.
- Robin Cloud Native Platform (Rakuten Symphony Robin).
- Application migration from on-premises to cloud-hosted Kubernetes.
- Healthcare, medical device, HIPAA, or regulated environments.
- Integration of acquired company technology stacks into enterprise cloud platforms.
- Documenting operational procedures and performing technical knowledge transfer.
What You Will Do
- Lead deployment of a new cloud environment within AWS or other Cloud provider.
- Ensure deployment follows security, reliability, and operational best practices.
- Partner with application, infrastructure, security, and operations teams throughout the implementation.
- Deploy and manage workloads running on Kubernetes platforms.
- Troubleshoot cluster, networking, ingress, storage, and workload issues.
- Support application modernization and containerization efforts where needed.
- Implement platform standards and operational guardrails.
- Design and enhance GitLab CI/CD pipelines.
- Implement deployment automation and release workflows.
- Establish GitOps deployment patterns using tools such as Argo CD.
- Improve traceability, repeatability, and deployment reliability.
- Develop and maintain infrastructure using Terraform and related tooling.
- Reduce manual deployment activities through automation.
- Configure platform monitoring, logging, alerting, and dashboards.
- Support production readiness reviews and operational runbooks.
- Establish reliability practices and incident response procedures.
- Identify bottlenecks and performance issues across cloud and Kubernetes environments.
- Evaluate existing deployment practices and operational processes.
- Document platform architecture, deployment procedures, and operational support requirements.
- Produce runbooks and knowledge-transfer documentation for support teams.
Perks and Benefits
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
We are a 100% remote team.
**Equal Opportunity Employer**: We welcome applications from all backgrounds, including those with disabilities. All decisions are made without regard to race, religion, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.