Apprentice Leader – Devops

Job Title :

Apprentice Leader – Devops

Experience : 4–7 years

Location : Bangalore (On-site)

Employment Type : Full-Time

Overview

Our client – one of the largest data science companies – is seeking to hire a

DevOps Engineer

to build and run secure, reliable, and cost-efficient cloud platforms. You’ll automate everything from infrastructure and CI / CD to observability and incident response, partnering closely with product and data / engineering teams to accelerate delivery.

What you’ll do

Design & run CI / CD :

Build resilient pipelines (build / test / release), implement trunk-based development, feature flags, and blue / green or canary deployments

Infrastructure as Code :

Provision and manage cloud infrastructure using Terraform and immutable patterns

Containers & Orchestration :

Containerize services with Docker and operate them on Kubernetes (or managed equivalents)

Observability & Reliability :

Define SLIs / SLOs, centralize logs / metrics / traces, and drive incident management, on-call, and post-mortems

Security & Compliance :

Implement IAM / SSO, secrets management, policy-as-code, vulnerability scanning, and least privilege by default

What you’ll bring

Experience : 4–7 years

Cloud :

Proficiency in Azure cloud

IaC & Pipelines :

Terraform and CI / CD tools (GitHub Actions / Azure DevOps)

Containers :

Docker + Kubernetes (Helm / Customize), networking, and service meshes a plus

Scripting :

Strong in Bash and at least one of Python / Go

Observability : Prometheus / Grafana

Security :

Practical knowledge of secrets management (e.g., Vault / Key Vault), SAST / DAST, and policy-as-code (OPA / Contest)

Collaboration :

Clear communicator, comfortable partnering with developers, data, and security teams

Nice to have

Serverless and event-driven patterns (Lambda / Functions, Kafka)

Data / ML platform exposure (Airflow, Databricks / EMR, MLflow)

Azure certification

Preferred Qualifications

BE / B. Tech or M. Tech

degree in Computer Science, Engineering, or related fields

Prior experience working in

supply chain analytics

within CPG companies or consulting engagements

Certifications in

Power BI, Design of Experiments, or advanced data tools