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.