Platform Engineer

Job Description We are looking for a highly skilled Platform Engineer ll 5+yrs. of experience ll Bangalore to build and maintain the core cloud infrastructure for a large-scale Data & AI platform . In this role, you will work in a multi-cloud environment (GCP & Azure) to design, automate, and manage scalable, secure, and reliable infrastructure. You will enable engineering teams by building containerized platforms, CI/CD pipelines, and cloud-native services that support data pipelines, APIs, and AI/ML workloads . About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions. Key Responsibilities Design, build, and maintain cloud-native infrastructure across GCP and Azure Develop and manage containerized applications using Docker and Kubernetes (GKE/AKS) Implement Infrastructure as Code (IaC) using Terraform and scripting (Python/Bash) Build and optimize CI/CD pipelines for faster and reliable deployments Enable scalable infrastructure for data engineering and AI/ML workloads Implement monitoring, logging, and alerting using modern observability tools Manage secrets, credentials, and security policies using Vault/Key Vault/Secret Manager Support microservices and event-driven architectures (Pub/Sub, messaging systems) Collaborate with cross-functional teams to ensure platform reliability and performance Ensure high availability, fault tolerance, and disaster recovery readiness Must-Have Skills 5+ years of experience in Platform Engineering / DevOps / SRE Strong hands-on experience with GCP and Azure cloud platforms Expertise in Kubernetes (GKE/AKS) and Docker Strong proficiency in Terraform (IaC), Python, and Shell scripting Experience building and managing CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD) Knowledge of observability tools (Prometheus, Grafana, Datadog, Splunk) Experience with secrets management (HashiCorp Vault, Azure Key Vault, GCP Secret Manager) Strong understanding of microservices, distributed systems, and cloud networking Hands-on experience with event-driven systems (Pub/Sub, messaging) Good to Have Skills Experience with AI/ML infrastructure (Vertex AI, Azure ML, GPU workloads, vector databases) Advanced Kubernetes knowledge (e.g., Kyverno, Karpenter, Operators ) Experience with multi-cloud orchestration tools like Crossplane Understanding of FinOps, cost optimization, and resource tagging strategies Experience in highly regulated domains (BFSI/Insurance) Knowledge of disaster recovery and reliability engineering practices Key Competencies Strong problem-solving and automation-first mindset Ability to work in fast-paced Agile environments Excellent collaboration and communication skills Focus on scalability, performance, and reliability Why Join CodeVyasa? Work on innovative, high-impact projects with leading global clients. Exposure to modern technologies, scalable systems, and cloud-native architectures. Continuous learning and upskilling opportunities through internal and external programs.

Supportive and collaborative work culture with flexible policies. Competitive salary and comprehensive benefits package. Free healthcare coverage for employees and dependents.