Senior DevOps Engineer

Our Client, a Business Maunufacturing and Supply company, is looking for a Senior DevOps Engineer for their Remote location.

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.
• Bachelor's Degree or higher in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 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.

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities