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PwC brand, mid-level SRE/DevOps role, Bangalore location, and broad cloud/ML/CICD skills raise competition.
Core DevOps/SRE skills are transferable, but mandatory Azure ML/Databricks increases domain specificity.
Multiple mandatory technical skills (4+ years, UNIX, CI/CD, containers, Azure ML) create strict shortlisting.
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Design and implement end-to-end CI/CD pipelines using tools like Jenkins, Git, and Docker.
Build and secure infrastructure with expertise in cloud technologies (AWS/Azure), container orchestration (Kubernetes/Docker Swarm), and security measures.
Automate infrastructure deployment (Ansible, Chef, Puppet), monitor system performance ensuring high availability and scalability.
4+ years of relevant work experience.
Bachelor's degree required: B.E./B.Tech/MCA/M.E./M.Tech/MBA/PGDM in regular full-time mode without backlog course extensions.
Mandatory skills: UNIX Shell Scripting, Azure Machine Learning Studio, Azure Databricks, Azure OpenAI Service, Python programming, Azure DevOps/GitHub Actions, MLflow, Docker, Kubernetes (AKS).
Not explicitly mentioned: Notice period and location restrictions.
Experienced with integrating ML and DevOps tools in cloud environments, specifically Azure ecosystem.
Comfortable working with automation frameworks and container orchestration for scalable, secure deployments.
Skilled in automating infrastructure and securing CI/CD pipelines with a strong technical mindset and cross-functional collaboration experience.