JOB SUMMARY

We are looking for a Senior Deployment Engineer responsible for deploying, configuring, integrating, and operationalizing software and AI/ML platforms in production environments. The ideal candidate should have strong hands-on experience with Linux, Docker, Kubernetes, Helm, networking, cloud infrastructure, troubleshooting, and production deployments.

KEY RESPONSIBILITIES
Plan and execute application and platform deployments across development, staging, and production.
Install, configure, upgrade, and maintain production software platforms.
Deploy containerized applications using Docker and Kubernetes.
Manage Kubernetes workloads, services, ingress, configuration, secrets, and storage.
Create and maintain Helm charts and deployment configurations.
Troubleshoot application, infrastructure, networking, and deployment issues.
Perform production readiness checks before deployments.
Coordinate with engineering and DevOps teams during releases and production rollouts.
Configure application dependencies, workplace variables, certificates, and integrations.
Perform upgrades, patches, rollback procedures, and recovery activities.
Monitor deployments and validate application health after releases.
Create deployment documentation, runbooks,



and operational procedures.
Support technical onboarding and deployment activities when required.
Participate in incident resolution and root-cause analysis.
Automate repetitive deployment and configuration activities.

SKILLS & QUALIFICATIONS

REQUIRED SKILLS

GOOD TO HAVE
5+ years in deployment, infrastructure, DevOps, platform engineering, or related roles.
Argo CD, Flux, or GitOps.
Strong Linux administration experience.
Terraform / Infrastructure as Code.
Hands-on Docker experience.
Prometheus and Grafana.
Solid Kubernetes experience.
ELK/OpenSearch or similar logging.
Hands-on Helm experience.
Service mesh technologies.
Production application deployment and troubleshooting.
AI/ML platform deployments.
Kubernetes networking, services, ingress, volumes, ConfigMaps, and Secrets.
GPU workloads.
Bash and/or Python scripting.
High-availability production environments.
Git and CI/CD pipelines.
Direct technical customer experience.
TCP/IP, DNS, HTTP/HTTPS, load balancing, and firewall fundamentals.
AWS, Azure, or GCP experience.
Solid independent troubleshooting skills.

📌 Senior Deployment Engineer – Kubernetes / Cloud Hyderabad
🏢 Cinergy Technology
📍 Hyderabad