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Rearc

Senior Cloud Engineer

Reposted 6 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
In-Office
Bengaluru, Bengaluru Urban, Karnataka
Senior level
The Senior Cloud Engineer will design and implement cloud-native platforms focusing on reliability and security, improve client architectures, and manage CI/CD pipelines.
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About Rearc

At Rearc, we empower engineers to build incredible products and experiences. We believe in challenging the status quo and fostering a culture of ownership, innovation, and impact. Since our founding in 2016, we’ve built a team of problem-solvers who thrive in collaborative environments and value the freedom to think creatively.

If you're a cloud professional who wants to make a difference, grow your career, and work on impactful projects in a supportive and innovative culture, we’d love to hear from you.

What Makes Rearc Special?
  • Engineering-Driven Culture: We prioritize technical excellence and invest in our engineers through certifications, courses, and professional development.
  • Work-Life Balance: No micromanagement, no on-call requirements, and a supportive, down-to-earth team.
  • Cutting-Edge Technology: Work on high-impact projects using modern cloud tools and services
  • Career Growth: A structured path to help you achieve your professional goals in a fast-growing company.
  • Collaborative Environment: Be part of a global team solving complex challenges in regulated enterprise environments.

As a Senior Cloud Engineer at Rearc, you will play a key role in designing and building modern, cloud-native platforms that are reliable, scalable, and secure. This is a hands-on role that requires a deep understanding of cloud technologies, particularly AWS, and the ability to implement solutions in highly regulated enterprise environments. You’ll work closely with our engineering team and customers to solve complex challenges while maintaining a strong focus on scalability, security, and best practices.

Your creativity and problem-solving skills will be instrumental in delivering real impact, and your passion for innovation will thrive in our engineering-first, collaborative culture.

What You Bring

  • 5+ years of hands-on cloud engineering experience (AWS preferred; GCP or Azure as a bonus), including expertise in compute, storage, networking, and security services.
  • Strong knowledge of AWS CDK, IAM, and S3.
  • Proficiency in Kubernetes and containerization tools such as Docker or Amazon ECS.
  • Familiarity with cloud-native architectures and experience implementing infrastructure-as-code using tools like Terraform, CloudFormation, or AWS CDK.
  • Solid programming skills in a high-level language such as Python or JavaScript.
  • Experience building CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or CodePipeline.
  • Bonus: Knowledge of data engineering tools such as Snowflake, Databricks, or Glue, and experience with large-scale data ingestion pipelines.
  • A proactive attitude with a passion for continuous learning and innovation.
  • Strong communication skills and a collaborative, team-oriented mindset.


What You'll Do

  • Lead the design and implementation of cloud-native platforms, focusing on reliability, scalability, and security.
  • Evaluate customers’ existing infrastructure and provide recommendations for improving their cloud architecture, security posture, and developer experience.
  • Develop and manage CI/CD pipelines, ensuring secure and efficient deployment of applications to cloud environments.
  • Utilize infrastructure-as-code tools to automate the deployment of robust and immutable infrastructure.
  • Stay current with emerging technologies and best practices in cloud engineering, sharing insights and knowledge with your team and the broader engineering community.
  • Collaborate with cross-functional teams to deliver innovative solutions that solve real-world problems.

Top Skills

Amazon Ecs
AWS
Aws Cdk
Azure
CloudFormation
Codepipeline
Databricks
Docker
GCP
Github Actions
Gitlab Ci
Glue
Iam
JavaScript
Kubernetes
Python
S3
Snowflake
Terraform

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