About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
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Job Descriptions

As a Subject Matter Expert in Kubernetes, you will provide specialized, high-impact
technical guidance and hands-on engineering to solve our most complex scaling challenges.
You will act as a catalyst for our automation and FinOps initiatives across our large
enterprise cluster environment, helping us rapidly implement and optimize advanced
resource management systems to eliminate toil and boost platform resilience.

Responsibilities:
Serve as the ultimate escalation point and technical authority for complex Kubernetes
architectural and scaling challenges.
Accelerate the deployment and fine-tuning of intelligent resource automation platforms
(e.g., ScaleOps, Karpenter) across our cluster fleet.
Audit existing cluster architectures and provide actionable recommendations to
improve high availability, security, and resource utilization.
Develop and implement advanced Infrastructure as Code (IaC) modules and automation
scripts to solve highly specific platform bottlenecks.
Partner with our internal engineering teams to share knowledge, document best
practices, and upskill the team on modern K8s paradigms.

Required Skills:
Expert-level, deeply specialized knowledge of Kubernetes architecture, networking, and
security at a massive scale.
Proven track record as a consultant or SME implementing automated scaling and
optimization tools (Karpenter, ScaleOps) in enterprise environments.
Deep proficiency in Infrastructure as Code (Terraform, OpenTofu) and writing custom
automation tooling.
Strong grasp of container-level FinOps and cloud cost-avoidance methodologies.
Ability to rapidly onboard, identify critical bottlenecks, and deliver high-quality
technical solutions independently.

Why Join R Systems?

Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!

#LI-AP2

R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.

Employers have access to artificial intelligence language tools ( AI ) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Kubernetes SME - Remote - Contract to hire position

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