Job Title: Principal Infrastructure Engineer
Experience Level: 4+ Years
Location: Bangalore
Onsite Role
Immediate joiner we need
Overview:
We are seeking a visionary Principal Infrastructure Engineer to lead the evolution of our core platforms. With 4+ years of experience, you will be the bridge between high-level business strategy and technical execution. You aren't just managing servers; you are designing resilient, automated, and global-scale systems that empower our engineering teams to ship code faster and more securely.
Key Responsibilities:
● Design and implement scalable, highly available, and fault-tolerant infrastructure on AWS and GCP that align with business continuity and disaster recovery objectives.
● Champion the "automation first" mindset, ensuring 100% of infrastructure is provisioned via Terraform, CloudFormation etc.,
● Lead the transition from legacy monoliths to containerized microservices using Kubernetes (K8s) or serverless architectures.
● Architect end-to-end CI/CD pipelines and platform engineering frameworks using tools such as GitHub Actions, ArgoCD, etc
● Utilize LLMs to rapidly translate business requirements into technical architectural blueprints and cost-estimation models.
● Leverage AI to maintain "live" architectural documentation and runbooks, ensuring tribal knowledge is captured and searchable in real-time.
● Define environment promotion strategies (dev, staging, pre-prod, prod) with appropriate change-control gates and rollback capabilities.
● Partner with the Security team to embed security into infrastructure design with Secure-by-Default.
● Integrate "Shift Left" security practices, ensuring SOC2, ISO, or HIPAA standards are baked into the infrastructure design.
● Conduct regular architectural reviews to optimize cloud spend without sacrificing performance.
● Act as a technical beacon for DevOps and Site Reliability Engineers, fostering a culture of continuous learning and documentation. Required Qualifications
● 4+ years in Infrastructure or Systems Architecture.
● Expert-level knowledge of Terraform, Kubernetes, and CI/CD (GitHub Actions), Deep expertise in Docker and orchestration platforms like Kubernetes (EKS, GKE, or OpenShift).
● Demonstrated experience using AI tools to speed up engineering tasks (e.g., using LLMs for code refactoring or automated debugging).
● Familiarity with the databases, managing infrastructure for AI/ML workloads is a significant advantage.
● Bachelor’s or Master’s in Computer Science or a related technical field. Relevant certifications (e.g., AWS Solutions Architect Professional) are a major plus.
Pay: ₹1,000,000.00 - ₹1,200,000.00 per year
Work Location: In person
