Note: The job is a remote job and is open to candidates in USA. The company is seeking a Senior DevOps Engineer for a remote-friendly contract role. The engineer will design and operate AWS and Kubernetes infrastructure, develop Terraform and CI/CD automation, strengthen security and observability, support PostgreSQL/RDS environments, and improve the reliability and scalability of cloud-native systems using modern AI-assisted engineering workflows.
Responsibilities
- Design, implement, and operate cloud infrastructure and automation using AWS and Terraform across services such as EC2, S3, EKS, ECR, Route 53, IAM, and core networking components
- Own EKS and Kubernetes platform operations, including cluster lifecycle management, upgrades, node group strategy, autoscaling, workload scheduling, capacity planning, performance tuning, and cost optimization
- Build and improve core Kubernetes platform capabilities such as networking, ingress, DNS integration, service discovery, RBAC, policy enforcement, secrets management, and multi-environment consistency
- Develop and maintain deployment workflows using Helm, Kustomize, GitLab CI/CD, and GitOps approaches with tools such as Argo CD or Flux to improve release speed, consistency, traceability, and rollback safety
- Deploy and evolve observability capabilities across infrastructure and Kubernetes environments, including metrics, logging, alerting, dashboards, and incident diagnostics
- Support and optimize platform and application workloads on Kubernetes, improving deployment patterns, scaling behavior, runtime efficiency, resilience, and day-to-day operational support
- Strengthen security across infrastructure, pipelines, and Kubernetes environments through IAM least-privilege access, secrets management, image and artifact scanning, admission controls, policy-as-code, workload isolation, and practical runtime hardening
- Support the reliability, backup integrity, availability, and operational performance of PostgreSQL/RDS environments in partnership with application teams
- Work closely with development and platform teams to improve deployment strategies, runtime reliability, developer experience, and operational standards for cloud-native systems
- Monitor system health, investigate incidents, troubleshoot infrastructure and application issues, and drive timely resolution through strong root cause analysis and preventative improvements
- Lead technical decision-making within the scope of the role by prioritizing work, evaluating tradeoffs, integrating inputs from multiple stakeholders, and driving issues through to completion with limited oversight
- Use modern AI tools to accelerate infrastructure design exploration, Terraform authoring, Kubernetes troubleshooting, CI/CD workflow drafting, observability analysis, and operational documentation, while rigorously validating outputs for correctness, security, maintainability, and production readiness
- Document and continually refine DevOps methodologies, infrastructure standards, deployment workflows, operational procedures, and support runbooks
Skills
- Candidates can live anywhere in the US but must be able to work 8:00 am - 5:00 pm EST
- Minimum of 7 years professional experience in DevOps or platform engineering related roles
- 7 years of experience in DevOps, platform engineering, SRE, or related roles, with a proven track record in designing and operating scalable cloud infrastructure
- Strong expertise with AWS services, including EC2, S3, EKS, ECR, Route 53, IAM, and core networking and security concepts
- Advanced hands-on experience with Kubernetes, including cluster operations, upgrades, autoscaling, networking, ingress, RBAC, policy enforcement, and production workload management
- Strong experience with Terraform for infrastructure-as-code, environment management, and repeatable platform provisioning
- Experience with Kubernetes packaging and deployment tools such as Helm and Kustomize
- Experience with CI/CD systems such as GitLab CI/CD and familiarity with GitOps approaches using Argo CD, Flux, or similar tools
- Strong experience with observability and monitoring tools such as Prometheus, Grafana, Loki, or comparable tooling
- Experience evaluating or operating Kubernetes ecosystem tools such as ingress controllers, operators, Cluster Autoscaler, or Karpenter
- Strong experience with PostgreSQL/RDS, including performance tuning, reliability, and operational support
- Solid understanding of cloud and container security practices, including IAM least privilege, secrets management, image scanning, admission controls, and policy enforcement
- Strong scripting and automation skills in Python, Bash, or similar languages
- Practical fluency with AI-assisted engineering tools such as LLMs, code assistants, and workflow automation tools, along with strong judgment to evaluate and refine AI-generated outputs responsibly
- Excellent problem-solving, teamwork, and communication skills
- Ability to work independently in a remote-friendly environment and make sound technical decisions in ambiguous situations
- Bachelor's Degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience
- Bachelors is preferred, but not required
- Certifications in AWS, Kubernetes, Terraform, or related platform technologies
- Experience with additional cloud platforms such as GCP or Azure
- Experience improving incident response, operational readiness, and platform standards for distributed engineering teams
- Experience designing internal platform capabilities that improve developer self-service and reduce operational toil
- Familiarity with compliance, governance, and risk management requirements in regulated or enterprise environments
Benefits
- Remote-friendly work arrangement
- Medical benefits
- Dental benefits
- Vision benefits
- Retirement options
Company Overview
Company H1B Sponsorship