Senior Platform & Full Stack Engineer - DevOps & SRE

We are looking for a highly driven Senior Platform & Full Stack Engineerwho brings passion, innovation, and deep technical experience to join our high-performing DevOps and SRE team. In this role, youll help us define, build, and scale the next generation ofcloud-native, cloud-agnostic CI/CD pipelines,Infrastructure as Code (IaC) reusable workflows, andAI-driven autonomous deployments.

• Lead the design and implementationof reusable IaC workflows and standardized CI/CD blueprints across multiple teams.
• Architect and maintaincloud-agnostic deployment solutionswith deep expertise in AWS and EKS.
• Implement and optimizeconfiguration as codepractices using tools like Terraform and GitHub Actions.
• Partner with developers and SREs to defineend-to-end infrastructure workflows covering compute, network, and storage automation.
• Contribute as a hands-on developer to internal tools, platforms, and APIs (Java, Go, or similar).
• Collaborate on cutting-edge initiatives such asAgentic AI workflows and autonomous chat-based deploymentsusing MCP and LLM orchestration.
• Foster a culture of continuous innovation, high energy, and performance excellence.

• 10+ years of experience in DevOps, Platform Engineering, or Full Stack Developmentwith platform ownership.
• Proven experience designing Infrastructure as Code usingTerraformat scale.
• Solid programming skills Java ,Python, Javascript and Go preferred
• Expertise in CI/CD pipeline designand orchestration usingGitHub Actions(and optionally ArgoCD, GitLab, Jenkins, etc.).
• Strong knowledge ofAWSservices, with hands-on experience inEKS, IAM, networking (VPCs, Route53, ALBs), storage (EBS, S3), and compute.
• End-to-end understanding of moderncloud infrastructure, DevSecOps, observability, and release practices.
• Ability to translate product/platform needs intoreliable, secure, scalable infrastructure solutions.
• Excellent problem-solving skills and a mindset for performance, scalability, and resilience.
• Passion for innovation, high energy, and eagerness to experiment with emerging tech likeLLMs and Agentic AI

• Experience with multi-cloud environments(Azure, GCP).
• Knowledge of Agentic AI systems,LLMs, or AI Ops use cases.
• Exposure to platform-as-product or internal developer platforms.

• Be part of a forward-thinking DevOps and SRE teampushing the boundaries of platform automation.
• Work on AI-powered workflowsand define how infrastructure can be deployed through intelligent assistants.
• Build developer-centric platformsthat make a real impact on engineering productivity and product reliability.
• Enjoy a culture of innovation, energy, and excellencewhere your ideas will be heard and executed.