Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

3–6 yearsOn-siteDirect Career PageEst. 10–20 LPA

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Develop and enhance applications, automation tools, and CI/CD pipelines primarily using Python to support reliable production environments.

Manage containerized deployments with Docker and Kubernetes on cloud and on-prem infrastructure, ensuring high availability and security.

Implement monitoring, incident management, and operational automation to improve production reliability and reduce manual efforts.

3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.

Strong hands-on Python development and automation skills.

Experience with Docker, Kubernetes, and at least one cloud platform (AWS, Azure, or GCP).

Must be willing to work onsite full-time at Gurgaon, Haryana (5 days a week).

Comfortable operating at the intersection of software development and production system reliability with a strong engineering and automation mindset.

Experienced in managing scalable, secure, cloud-native, distributed production systems with knowledge of SRE principles (SLIs, SLOs, error budgets).

Able to collaborate cross-functionally, handle production incidents methodically, and document operational procedures thoroughly.