Senior Developer, Platform Engineer
Intercontinental Exchange (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted 1d ago
Reach people at Intercontinental Exchange
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Intercontinental Exchange you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own production OpenShift/Kubernetes platform operations, including cluster availability, security, capacity, and lifecycle management for AI/ML and application workloads.
- Own Helm charts and Docker image pipelines, and establish deployment standards, CI/CD and GitOps automation across environments.
- Build and operate Prometheus/Grafana observability; improve incident response, alert quality, runbooks, and service reliability while enabling teams to deploy workloads effectively.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Production-grade OpenShift and Kubernetes expertise, including cluster administration, security, networking, workload scheduling, and lifecycle management; hands-on Helm and Docker experience.
- Practical Prometheus and Grafana experience, including PromQL, alerting, dashboards, and SLO/SLA monitoring; proficiency in Python and/or Shell scripting.
- Experience with CI/CD and GitOps tooling, plus comfort using AI coding assistants; the JD states candidates must demonstrate expertise in all listed areas.
Ideal Candidate Profile
- A hands-on platform engineer who has operated production container platforms and can translate reliability, security, and resource-efficiency needs into reusable deployment standards and automation.
- Likely to succeed in a platform serving data science, ML, and application teams, with experience balancing developer usability and operational reliability.
- Technical leader able to guide platform practices, mentor engineers, and align Engineering, Data Science, Security, and Operations; Airflow, KServe, Knative, service mesh, cloud, or data-platform experience is an advantage.