NorthStar HR Consultants
Website:
northstarhrc.com
Job details:
Job Title - Principal Software Engineer
(Cluster Infrastructure & Deployment - Distributed Storage Systems)
Job Location - Pune, Maharashtra
Must Have Skills - Experience developing Kubernetes CRDs, Go / Python for building system tools, control planes, and automation scripts, Linux system administration and Linux scripting skills.
Position Overview -
Our client is looking for a Principal Software Engineer to join our core engineering team to lead the architecture, deployment, and management of our distributed storage clusters leveraging modern container orchestration technologies and AI-assisted development practices.
Role & Responsibilities
The Principal Software Engineer will serve as the technical go-to expert for cluster infrastructure, automated provisioning, and orchestration platforms across our distributed
storage ecosystem.
Your primary responsibilities will include:
- Architecting, deploying, and managing enterprise-grade Kubernetes clusters to orchestrate distributed storage infrastructure across cloud and bare-metal environments.
- Designing and implementing Kubernetes Custom Resource Definitions (CRDs) and custom operators/controllers to automate the lifecycle and management of complex storage systems.
- Developing robust control plane software, automation frameworks, and management tooling primarily using Go and Python.
- Applying fundamental computer science principles to solve complex cluster orchestration, networking, and scalability challenges.
- Collaborating with systems architects to ensure seamless integration between the underlying storage architecture and high-level deployment frameworks.
- Actively integrating cutting-edge AI tools (e.g., GitHub Copilot, integrated IDE features) into engineering workflows to boost productivity and code quality.
- Providing technical leadership, mentoring engineers, setting operational standards, and driving architectural reviews for cluster infrastructure.
Qualifications & Requirements
Education & Experience
- Bachelor’s, Master’s, or Ph.D. degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
- 12+ years of hands-on professional experience in systems automation, platform engineering, or infrastructure engineering.
- Proven track record of designing, building, and maintaining production-grade Kubernetes environments at scale.
Technical Skills (Must-Haves)
- Solid foundation in Computer Science fundamentals (data structures, algorithms, operating systems, and computer network architecture).
- Deep expertise in Kubernetes: configuring, setting up, bootstrapping, securing, and managing production K8s clusters.
- Hands-on experience developing Kubernetes CRDs and custom resources/operators for complex storage or infrastructure workloads.
- Excellent programming skills in Go and Python for building system tools, control planes, and automation scripts.
- Strong Linux system administration and Linux scripting skills.
- Familiarity with modern dev toolchains and AI-assisted development tools (e.g., VSCode, GitHub, Copilot).
Technical Skills (Good-to-Have)
- Knowledge of cloud and virtualization management platforms such as OpenStack or VMware vSphere / VMs.
- Familiarity with distributed storage systems (e.g., Ceph, S3, Lustre) from an operational and deployment perspective.
Soft Skills & Leadership
- Strong leadership capability to establish technical strategy and mentor engineering teams.
- Eagerness to integrate AI tools into the daily development workflow to maximize engineering throughput.
- Excellent problem-solving skills, system-level analytical thinking, and attention to detail.
- Ability to thrive and drive execution in a fast-paced, collaborative startup environment.
Click on Apply to know more.
