Senior Devops Engineer

Bounteous; Gurugram District, Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

Bounteous is seeking a seasoned DevOps/SRE professional to design and manage hybrid and on-prem architectures for intensive compute workloads. The role emphasizes container orchestration with Kubernetes across on-prem and cloud, IaC with Terraform, Ansible, and Helm, and data platform support including Kafka, Spark, and Data Lakes.

You will drive observability, CI/CD pipelines, and SRE practices, ensuring security, reliability, and scalable performance of high-throughput data services.

Qualifications

• 810+ years of dedicated experience in DevOps and System Reliability Engineering (SRE) roles.
• Bachelor or Masters degree in Computer Science, Engineering, or a related technical field.
• Core Kubernetes expertise with on-prem deployments alongside cloud variants (AWS/Azure).
• Data infrastructure familiarity with real-time data platforms, event-driven architectures, microservices orchestration, and ETL pipelines.
• Automation & scripting in Bash, Python, or Golang.
• Networking foundations and security for hybrid cloud models.
• Hands-on experience with Data Lake/Warehouse platforms (HDFS, S3) and exposure to MLOps.
• Certifications in Kubernetes, cloud platforms, or security are a plus.

Responsibilities

• Architect, build, and maintain robust hybrid and on-premises environments for intensive compute and storage workloads.
• Deploy, scale, and manage containerized microservices using Kubernetes across on-prem and cloud infrastructures.
• Automate end-to-end infrastructure provisioning and configuration management using Terraform, Ansible, and Helm.
• Configure, optimize, and scale distributed data streaming and storage platforms (including Kafka clusters, Apache Spark, and Data Lakes).
• Design frameworks for elastic scaling, high availability, load balancing, and resource isolation for high-throughput data services and APIs.
• Secure hybrid deployments by implementing firewalls, VPNs, and strict IAM.
• Implement granular data access controls, audit trails, and end-to-end encryption across services and storage layers while managing secrets securely.
• Set up and maintain distributed monitoring and logging stacks using Prometheus, Grafana, ELK, and OpenTelemetry.
• Build, enhance, and maintain CI/CD pipelines to deploy microservices, configurations, and heavy data jobs with zero-downtime and automated rollback capabilities.
• Drive SRE practices, including incident management, root-cause post-mortems, and comprehensive runbook creation.

Skills

Kubernetes

Bash

Python

Golang

Terraform

Ansible

Helm

Prometheus

Grafana

ELK

OpenTelemetry

Data Lake/Warehouse platforms (HDFS, S

MLOps

AWS/Azure

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related technical field

Job description

Job Description

Role & Responsibilities

Infrastructure Design & Automation

• Hybrid & On-Prem Architecture: Architect, build, and maintain robust hybrid and on-premises environments for intensive compute and storage workloads.
• Container Orchestration: Deploy, scale, and manage containerized microservices using Kubernetes across both on-prem and cloud infrastructures.
• Infrastructure as Code (IaC): Automate end-to-end infrastructure provisioning and configuration management using Terraform, Ansible, and Helm.
• Data Platform Support: Configure, optimize, and scale distributed data streaming and storage platforms (including Kafka clusters, Apache Spark, and Data Lakes).

Scalability, Security & Governance

• Performance Engineering: Design frameworks for elastic scaling, high availability, load balancing, and resource isolation for high-throughput data services and APIs.
• Hybrid Security: Secure hybrid deployments by implementing firewalls, VPNs, and strict identity/access management (IAM).
• Data Protection: Implement granular data access controls, audit trails, and end-to-end encryption across services and storage layers while managing secrets securely.

Observability & CI/CD Pipelines

• Full-Stack Observability: Set up and maintain distributed monitoring and logging stacks using Prometheus, Grafana, ELK, and OpenTelemetry for real-time system insights.
• Continuous Delivery: Build, enhance, and maintain CI/CD pipelines to deploy microservices, configurations, and heavy data jobs with zero-downtime and automated rollback capabilities.
• SRE Practices: Drive System Reliability Engineering (SRE) practices, including active incident management, root‑cause post‑mortems, and comprehensive runbook creation.

Preferred Candidate Profile

• Experience: 810+ years of dedicated experience in DevOps and System Reliability Engineering (SRE) roles.
• Education: Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
• Core Kubernetes Expertise: Proven, deep experience handling on-premises Kubernetes deployments alongside cloud variants (AWS/Azure).
• Data Infrastructure Familiarity: Direct experience supporting infrastructure for real-time data platforms, event-driven architectures, microservices orchestration, and ETL pipelines.
• Automation & Scripting: Strong proficiency in Bash, Python, or Golang for systems automation.
• Networking Foundations: Solid understanding of core networking, distributed storage systems, firewalls, and security topologies for hybrid cloud models.
• Good to Have: * Hands‑on experience with Data Lake/Warehouse platforms (HDFS, S3-compatible object storage).
  
• Exposure to MLOps or data science workflows.
• Certifications in Kubernetes, cloud platforms, or security are a plus.