Location: Mumbai
Role Overview:
We are seeking a visionary Senior Platform & DevOps Engineer to architect, build, and automate the scalable, self-service cloud platform that powers our AI-driven analytics solutions. You will be the architect of our entire software delivery lifecycle, focusing on building robust CI/CD pipelines, engineering our Kubernetes-based platform, and implementing Infrastructure as Code (IaC) as a core principle. You will work in close collaboration with our Server Administration team, who manage the day-to-day operations, allowing you to focus on strategic automation, developer enablement, and MLOps.

Key Responsibilities:

· Platform Architecture & Infrastructure as Code (IaC):

• Architect and implement a fully automated, multi-tenant cloud infrastructure, providing the foundational blueprints for our production and testing environments.

• Design and build scalable, resilient, and cost-effective architectures on AWS/Azure for our microservices, databases, and big data workloads.

• Champion GitOps principles for managing infrastructure and application configurations declaratively.

· CI/CD & Developer Enablement:

• Design, build, and own the CI/CD pipelines using GitHub Actions/GitLab CI, enabling fast, safe, and automated releases for our React, Python (Django/FastAPI), and AI/ML components.

• Integrate automated quality and security gates into the pipeline, including static analysis (SAST), dependency scanning, and container security.

• Streamline the developer experience by creating self-service tools and reducing friction in the path to production.

· Platform Engineering & Orchestration:

• Architect, build, and maintain our Kubernetes platform as a robust, multi-tenant service for our engineering teams.

• Implement and manage service mesh (e.g., Istio, Linkerd), ingress controllers, and other cloud-native ecosystem tools to enhance observability, security, and traffic management.

• Develop and optimize Docker images for performance, security, and size.

· Observability & Monitoring Engineering:

• Engineer and maintain the central observability platform using tools like Prometheus, Grafana, and the ELK Stack or similar tools.

• Focus on building the core infrastructure for metrics, logging, and tracing, empowering development and server administration teams to create their own dashboards and alerts.

· MLOps & Data Pipeline Automation:

• Collaborate with data scientists to design and build automated CI/CD pipelines for machine learning models (MLOps), covering training, validation, deployment, and monitoring.

• Provision and automate the infrastructure required for our big data processing stack (PySpark, Dask) and real-time data ingestion systems.

· DevSecOps & Automated Security:

• Integrate and manage automated security tooling within the CI/CD pipeline (SAST, DAST, Iac scanning).

• Implement and manage a centralized secrets management solution (e.g., HashiCorp Vault, AWS Secrets Manager).

• Codify security policies and best practices within our Terraform modules and Kubernetes configurations.

Requirements:

• 5+ years of experience in a DevOps, SRE, or Platform Engineering role.

• Expert-level proficiency in Infrastructure as Code.

• Deep, hands-on experience building and optimizing CI/CD pipelines using GitHub Actions, GitLab CI, or similar.

• Advanced knowledge of Docker and production-grade experience architecting and managing Kubernetes clusters.

• Strong scripting and automation skills using Python or Go.

• Experience architecting, deploying, and managing core observability tools (Prometheus, Grafana).

• Solid understanding of cloud networking, security, and IAM in a major cloud provider (AWS/Azure).

• Experience working in a collaborative environment with clear handoffs to operational teams (like Server Admins or DBAs).

• Bachelor’s degree in computer science, Engineering, or a related field.

Nice-to-Have:

• Experience with GitOps tools like Argo CD or Flux.

• Familiarity with MLOps frameworks (Kubeflow, MLflow).

• Experience with service mesh technologies (Istio, Linkerd).

• Knowledge of provisioning and automating infrastructure for PostgreSQL, MongoDB, and Redis.

• Contributions to open-source projects in the cloud-native space.

• Certifications: Certified Kubernetes Administrator (CKA), Terraform Associate, or AWS/Azure DevOps Professional.

Why Join Us?

• Be the primary architect of the platform powering a cutting-edge AI product suite.

• Focus on strategic engineering and automation, leaving day-to-day maintenance to a dedicated team.

• Drive innovation by implementing modern practices like GitOps, MLOps, and Platform Engineering.

• Work in a highly collaborative culture where you empower developers and data scientists.

• Competitive salary.