Senior DevOps Engineer (Remote)

For further inquiries about this opportunity, please contact one of our Talent Specialists, Marshelin at View phone number on click.appcast.io or Kalaivani at View phone number on click.appcast.io or Remy at View phone number on click.appcast.io Title: Senior DevOps Engineer (Remote) Location: Remote Duration: 3 Months with possible extension based on business need. Schedule: Must be able to work 8 AM - 5 PM EST

• Candidate can be located in any U.S. time zone,
• Must have at least 4-5 hours overlap with East Coast working hours

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Primary Purpose of the Role Senior DevOps Engineer to support growing cloud and platform initiatives. The team needs an experienced resource who can immediately contribute to AWS/Kubernetes-based projects, infrastructure automation, CI/CD, observability, and AI-enabled engineering without extensive training. This is additional project support and capacity expansion, not a simple backfill Job Description: Client is seeking a Senior DevOps Engineer to join their team on a remote-friendly contract basis. This is a hands-on role for an engineer with strong experience in AWS, Kubernetes, Terraform, and CI/CD who can independently drive reliable infrastructure decisions in ambiguous environments. You will be instrumental in automating and operating our cloud and Kubernetes platform, improving deployment flows, strengthening security and observability, and ensuring systems are scalable, reliable, and maintainable. This role also expects practical fluency with modern AI-assisted engineering workflows to accelerate analysis, troubleshooting, documentation, and delivery while maintaining high standards for correctness, security, and operational safety. 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. Requirements: 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. Experience Level: Senior DevOps Engineer 7+ years of relevant DevOps/Cloud Infrastructure experience Strong production support and deployment experience Comfortable owning projects independently Education : Bachelor's Degree(preferred) or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience. Strong practical experience can fully compensate for lack of degree Top Required Skills (Must-Have) 1. AWS Cloud Engineering (strong hands-on expertise) EKS ECS/Fargate EC2 IAM S3 ECR Route53 Load Balancing 2. Kubernetes Administration & Deployment 3. Terraform / Infrastructure as Code Modules State management Large-scale infrastructure deployments GitLab & CI/CD Pipelines GitOps concepts Version control best practices 5. Docker 6. Networking & Security Fundamentals RBAC Authentication Policy enforcement Service communication 7. Observability & Monitoring 8. Senior-level DevOps experience 7+ years preferred Able to hit the ground running with minimal ramp-up Desirable Skills: 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. AI-assisted Engineering LLM Integration experience Agentic AI workflows OpenAI, Anthropic, Claude exposure Azure SSO integrations OpenTofu experience Database deployment and management Leading technical projects (not people management) People management experience Direct reports/team leadership Specific GitLab expertise if candidate has strong Git and CI/CD background Degree-only qualifications without hands-on experience Certifications Preferred: AWS Certifications Kubernetes Certifications (CKA/CKAD preferred) Terraform Certification Certifications are preferred and can make a candidate stand out but are not mandatory. Interview Process: Manager prefers one interview: Teams interview with manager and additional team members Expected to start with one interview round May expand based on hiring manager preference Technical deep-dive expected Candidates should be prepared for questions exposing strengths and weaknesses in: AWS Kubernetes Terraform DevOps concepts AI/LLM experience Looking for authentic expertise, not buzzword-heavy answers divihn.com