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We are seeking an experienced Senior DevOps Engineer with strong expertise in cloud platforms, automation, container orchestration, and CI/CD. The ideal candidate will have hands\-on experience in AWS, GCP, Kubernetes (EKS/GKE), ECS, Infrastructure as Code (Terraform), and GitOps practices. You will be responsible for designing, building, and maintaining scalable, secure, and automated infrastructure that supports our application lifecycle end\-to\-end.
Cloud \& Infrastructure
\- Design, implement, and manage cloud infrastructure on AWS and GCP.
\- Architect scalable, secure, and highly available systems using VPCs, subnets, load balancers, NAT gateways, and security controls.
\- Manage and optimize compute, storage, networking, IAM, and managed services.
\- Implement monitoring, logging, alerts, disaster recovery, and cost\-optimization strategies.
Containers \& Orchestration
\- Containerize applications using Docker and manage image lifecycles.
\- Deploy and operate workloads on Amazon EKS, Google Kubernetes Engine (GKE), and Amazon ECS (Fargate \& EC2 modes).
\- Build GitOps\-based deployments using ArgoCD.
\- Create and manage Helm charts, Kubernetes manifests, and ECS task definitions.
\- Optimize cluster performance, auto\-scaling, networking, and security policies.
CI/CD \& Automation
\- Build and maintain CI/CD pipelines using GitHub Actions.
\- Automate builds, tests, deployments, and environment promotion workflows.
\- Integrate security scanning, linting, and quality checks.
\- Improve deployment reliability through automation, validation, and rollback strategies.
\- Leverage AI\-assisted tooling to enhance deployment automation, release validation, troubleshooting, and operational efficiency.
Infrastructure as Code
\- Develop and maintain Terraform modules for reusable, scalable infrastructure.
\- Manage provisioning, configuration, policy enforcement, and environment standardization.
AI\-Assisted Development/Deployments
\- Familiarity with modern AI\-assisted development tools and workflows to improve engineering productivity.
\- Understanding of scalable website/application deployment architectures for AI\-enabled or API\-driven platforms.
\- Experience supporting infrastructure for modern web applications integrating third\-party AI/LLM services is a plus.
\- Awareness of performance, security, and scaling considerations for AI\-powered web platforms.
\- Ability to evaluate and adopt AI\-powered DevOps/automation tools for smarter infrastructure management and deployment processes.
Source Control \& Collaboration
\- Manage branching strategies, code reviews, and workflows using Git and GitHub.
\- Collaborate with developers, QA, product teams, and platform teams.
\- Promote best practices for DevOps, cloud security, and automation.
Requirements
Technical Skills
\- 5\+ years of experience as a DevOps Engineer
\- Strong working experience with AWS \& GCP
\- Expert knowledge in Linux systems
\- Proficiency with Docker and container lifecycle management
\- Deep understanding of Kubernetes (EKS, GKE) and ECS (Fargate/EC2\)
\- Experience building GitOps workflows using ArgoCD and Helm
\- Strong knowledge of Terraform and IaC best practices
\- Hands\-on with CI/CD using GitHub Actions
\- Experience with monitoring tools like CloudWatch, Prometheus, Grafana, (GCP)
\- Exposure to modern AI\-enabled web application deployment patterns and scalable platform architecture
\- Familiarity with AI\-assisted developer tooling / automation platforms
\- Ability to work in fast\-paced environments with ownership and accountability
\- Capable of mentoring junior engineers and driving DevOps culture
Work Location: In person
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