Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.
Job description
Location: Viman Nagar, Maharashtra Department: IT
As a Senior DevOps Engineer, you will lead the design, evolution, and optimisation of infrastructure, automation frameworks, and delivery pipelines for reliable, secure, and scalable software delivery.
Key Responsibilities
Design and enhance enterprise-grade CI/CD pipelines for automated build, test, security, and deployment workflows.
Ensure pipelines are highly scalable, secure, and optimised for fast, reliable delivery across multiple products and environments.
Collaborate with engineers and QA teams to embed quality gates, security scanning, and automated testing throughout the pipeline.
Drive continuous improvement initiatives to reduce manual interventions, increase deployment frequency, and enhance release confidence.
Mentor engineers on best practices in release automation, branching strategies, and pipeline optimisation.
Architect, provision, and maintain cloud environments using Infrastructure as Code (IaC) with Terraform, ARM, or Bicep.
Oversee the stability, performance, and scalability of development, staging, and production environments.
Implement robust cloud architecture aligned with security, cost-optimisation, and operational standards.
Lead investigation and resolution of complex infrastructure or environment-related incidents in collaboration with global teams.
Guide the adoption of cloud-native patterns, automation, and modern infrastructure practices.
Skills, Knowledge & Expertise
5–8+ years in DevOps, Cloud Engineering, or SRE, ideally within complex enterprise environments.
Degree in Computer Science, Engineering, or related discipline (or equivalent experience).
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?