Note: The job is a remote job and is open to candidates in USA. CTG is a provider of IT and business solutions, and it is seeking a Senior DevOps Engineer for a remote contract assignment. The role focuses on operating and automating AWS and Kubernetes platforms, improving CI/CD workflows, strengthening security and observability, and ensuring reliable, scalable infrastructure. The engineer will also use AI-assisted engineering tools for infrastructure design, troubleshooting, documentation, and delivery.
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 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
- 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 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 stakeholder input, 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 development, 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 8am-5pm EST
- 7+ years of professional experience in DevOps, platform engineering, SRE, or related roles, with a proven track record 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 technologies
- 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 environment and make sound technical decisions in ambiguous situations
- All interested individuals **MUST be able to work on a W2 Tax basis (no C2C or third party vendors)**
- Certifications in AWS, Kubernetes, Terraform, or related platform technologies
- Experience with additional cloud platforms such as Google Cloud Platform 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
- Bachelor's degree preferred, but not required
Benefits
- Remote contract basis; candidates can live anywhere in the US but must be able to work 8am-5pm EST
- Employees are encouraged to grow, supported in their ambitions, and empowered to shape their own career journey
Company Overview