Cloud Engineer - AWS EKS 7 Years Experience - Hyderabad

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.

We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.

We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

About The Role

We are seeking a Cloud Engineer with deep expertise in AWS, Kubernetes (EKS), and Infrastructure-as-Code (Terraform) to design, secure, and scale our cloud environments. You’ll play a pivotal role in building resilient, high-performing platforms while enabling automation, observability, cost optimisation, and security best practices. This role requires hands-on proficiency with GitHub, GitHub Actions, Argo CD, Grafana, and New Relic to support modern CI/CD and monitoring workflows. You will collaborate with architects, engineers, and customer-facing teams while mentoring others and driving innovation. Experience or certification in Cloud Architecture and exposure to AI/ML services is highly desirable.

Key Responsibilities

• Design, evolve, secure, and maintain scalable, resilient, and cost-efficient AWS cloud infrastructure and environments
• Implement and manage Kubernetes (EKS) clusters to support modern containerised workloads
• Build and maintain infrastructure-as-code using Terraform
• Develop and manage CI/CD pipelines using GitHub and GitHub Actions
• Implement and manage GitOps workflows with Argo CD
• Ensure observability and system health through monitoring and logging tools, including Grafana and New Relic
• Collaborate with Customer Success and Technical Support teams to ensure timely resolution of incidents within SLA objectives
• Provide clear, accurate incident updates and stakeholder communications
• Lead or actively contribute to process improvement initiatives to drive operational excellence
• Mentor and coach team members, promoting knowledge sharing and technical growth
• Maintain detailed configuration, infrastructure-as-code, and technical documentation
• Stay ahead of emerging cloud technologies, including AI/ML, and proactively apply them to enhance platform capabilities
• Achieve and maintain AWS certifications, supporting business credibility across key technology stacks
• Contribute to strategic initiatives in security, performance, reliability, automation, and cost optimisation
• Partner with Solutions Architects to deliver solution designs aligned with business strategies
• Drive automation of repetitive tasks and workflows to maximise team efficiency
• Support Agile delivery by providing input into planning, estimation, and backlog refinement
• Collaborate closely with Software Engineers and QA teams to ensure smooth, secure delivery pipelines
• Work independently, managing priorities and delivering high-quality outcomes with accountability
• Participate in the On-Call rota, providing operational support as required
• Take ownership of information security and data protection responsibilities, supporting compliance with regulatory and legal requirements
  
  
  

Essential Skills & Experience

• Strong hands-on experience with AWS cloud infrastructure and services (EC2, S3, RDS, IAM, VPC, Lambda, etc.)
• Proven expertise in Kubernetes and Amazon EKS (mandatory)
• Proficiency with Terraform for infrastructure-as-code (mandatory)
• Hands-on experience with GitHub and GitHub Actions for CI/CD automation (mandatory)
• Experience with Argo CD for GitOps workflows (mandatory)
• Strong knowledge of monitoring and observability tools, including Grafana and New Relic (mandatory)
• Strong scripting skills (Python, Bash, or similar)
• Deep understanding of cloud security principles and practices
• Excellent communication, troubleshooting, and problem-solving skills
  
  
  

Highly Desirable

• AWS Certified Solutions Architect (Professional or Associate)
• Exposure to AI/ML workloads and services (e.g., SageMaker, Bedrock, custom ML deployments)
• Experience with serverless computing and event-driven architectures
• Knowledge of modern data engineering patterns and tooling within AWS
• Familiarity with multi-cloud or hybrid cloud environments
  
  
  

Why join us?

We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.

An inclusive environment to thrive

We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.

Be rewarded for your efforts

We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.

Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.

We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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