Senior R&D Specialist
Key Skills for This Role
Full Job Posting
If you have:
- A Bachelor’s degree or higher in Computer Science, Electronic Engineering, Telecom, or equivalent, with 10+ years of relevant experience.
- Strong software development expertise in Go or Python, with proven experience in designing and running cloud-native distributed systems at scale.
- Deep expertise in Openshift, Docker, helm and Kubernetes, including troubleshooting, administration, and lifecycle management.
- Solid understanding of CI/CD pipelines (ideally GitOps), Linux administration, networking, and security.
- Experience drafting architectural patterns and HLDs, and leading development teams in complex environments where performance, reliability, and scalability are critical.
- It Would Be Nice If You Also Had
- Cloud certifications in Openshift and at least one public cloud platform (AWS, GCP, or Azure).
- Experience with hardware management, including Redfish, UEFI, BIOS/eSW upgrades, GPUs, and Linux administration.
- Hands-on experience with AI-based development workflows and workflow design for CI/CD pipelines.
Responsibilities
- As a Senior R&D Specialist, you will...
- Own end-to-end feature delivery, from requirements gathering and design to implementation, testing, deployment, and monitoring, ensuring timely and high-quality outcomes.
- Architect and implement Openshift Container Platform (OCP) lifecycle management solutions, including installation, upgrades, and automation using Red Hat Advanced Cluster Management (RH ACM).
- Design and lead the development of cloud-native distributed systems at scale, leveraging expertise in Openshift, Docker, and Kubernetes in production environments.
- Draft and deliver comprehensive architectural studies and high-level designs (HLDs) to guide development teams toward efficient implementation and adherence to best engineering practices.
- Automate container lifecycle management, including secure base image governance, dynamic build pipelines, admission control, runtime orchestration, and ephemeral environment provisioning.
- Integrate AI-driven tools into CI/CD pipelines to accelerate workflows, such as code generation, manifest validation, vulnerability patching, and automated pull request reviews.
- Debug and resolve complex issues in Kubernetes clusters, containerized applications, and Go-based services, ensuring high performance, reliability, and scalability.
- Optimize Kubernetes ecosystems by developing custom controllers, operators, and CRDs, and managing complex service mesh layers like Istio.
- Collaborate with cross-functional teams to influence technical decisions, drive innovation, and ensure alignment across engineering, operations, and product teams.
- Coach and mentor development teams, ensuring adherence to best practices, efficient implementation of HLDs, and continuous improvement in feature delivery processes.
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