Senior DevOps Engineer

Premier Staffing Solution • Corning, NY

4d • Remote

About The Position

We are seeking a Senior DevOps Engineer to join our team. This role involves designing, operating, and scaling cloud infrastructure, with a strong focus on Kubernetes and AWS. You will be responsible for implementing CI/CD pipelines, managing observability tools, and ensuring the security and reliability of our platform. The ideal candidate will have extensive experience in DevOps practices, a deep understanding of cloud technologies, and excellent problem-solving skills. This is a remote-friendly position that requires the ability to work independently and make sound technical decisions.

Requirements

• 7+ years of experience in DevOps, platform engineering, SRE, or related roles.
• Proven track record in designing and operating scalable cloud infrastructure.
• Strong expertise with AWS services (EC2, S3, EKS, ECR, Route 53, IAM, core networking and security concepts).
• Advanced hands-on experience with Kubernetes (cluster operations, upgrades, autoscaling, networking, ingress, RBAC, policy enforcement, production workload management).
• Strong experience with Terraform for infrastructure-as-code, environment management, and repeatable platform provisioning.
• Experience with Kubernetes packaging and deployment tools (Helm, Kustomize).
• Experience with CI/CD systems (GitLab CI/CD) and GitOps approaches (Argo CD, Flux).
• Strong experience with observability and monitoring tools (Prometheus, Grafana, Loki).
• Experience evaluating or operating Kubernetes ecosystem tools (ingress controllers, operators, Cluster Autoscaler, Karpenter).
• Strong experience with PostgreSQL/RDS (performance tuning, reliability, operational support).
• Solid understanding of cloud and container security practices (IAM least privilege, secrets management, image scanning, admission controls, policy enforcement).
• Strong scripting and automation skills in Python, Bash, or similar languages.
• Practical fluency with AI-assisted engineering tools (LLMs, code assistants, workflow automation tools) and 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.

Nice To Haves

• 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.

Responsibilities

• Design and operate scalable cloud infrastructure on AWS.
• Manage and maintain Kubernetes clusters, including operations, upgrades, and autoscaling.
• Implement and manage infrastructure-as-code using Terraform.
• Develop and maintain CI/CD pipelines using GitLab CI/CD and GitOps approaches.
• Implement and manage observability and monitoring tools (Prometheus, Grafana, Loki).
• Evaluate and operate Kubernetes ecosystem tools.
• Provide operational support and performance tuning for PostgreSQL/RDS.
• Implement and enforce cloud and container security best practices.
• Develop automation scripts in Python, Bash, or similar languages.
• Utilize and evaluate AI-assisted engineering tools responsibly.
• Collaborate with engineering teams to improve incident response and operational readiness.
• Design internal platform capabilities to enhance developer self-service and reduce toil.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior