Full-Time

Senior Cloud Engineer

Posted on 10/31/2025

Rearc

Rearc

11-50 employees

Engineering services for GenAI, data, AWS

No salary listed

Bengaluru, Karnataka, India

Hybrid

Category
DevOps & Infrastructure (2)
,
Required Skills
Kubernetes
Microsoft Azure
Python
JavaScript
Java
Docker
CloudFormation
AWS
Terraform
Google Cloud Platform
Requirements
  • 5+ years of hands-on cloud engineering experience, with AWS expertise required; GCP or Azure experience considered a bonus.
  • Strong knowledge of AWS Cloud Development Kit, IAM, and S3.
  • Proficiency in Kubernetes and containerization tools such as Docker or Amazon Elastic Container Service.
  • Familiarity with cloud-native architectures and infrastructure-as-code using Terraform, CloudFormation, or AWS Cloud Development Kit.
  • Solid programming skills in a high-level language such as Python or JavaScript.
  • Experience building CI/CD pipelines using GitHub Actions, GitLab CI, or CodePipeline.
  • A proactive attitude with a passion for continuous learning and innovation.
  • Strong communication skills and a collaborative, team-oriented mindset.
Responsibilities
  • 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.
Desired Qualifications
  • Knowledge of data engineering tools such as Snowflake, Databricks, or AWS Glue, and experience with large-scale data ingestion pipelines.
  • Cloud platforms experience beyond AWS (Google Cloud Platform or Microsoft Azure) is desirable.

Rearc provides engineering-driven services to help enterprises accelerate GenAI, data platforms, and cloud development, with a focus on AWS as an Advanced Consulting Partner. Teams assess current data and AI goals and design and implement end-to-end AWS-based solutions, including data pipelines, GenAI tooling, MLOps, and security/compliance. It differentiates itself through deep engineering in the AWS ecosystem and a proven track record with regulated industries, offering bespoke, end-to-end services rather than off-the-shelf software. The goal is to enable enterprises to rapidly adopt scalable, secure GenAI and cloud platforms that drive measurable business outcomes while meeting regulatory constraints.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

2016

Simplify Jobs

Simplify's Take

What believers are saying

  • Financial firms deploy proprietary LLMs, boosting MLOps demand to $15B by 2026.
  • Healthcare AI diagnostics scale under FDA 2024 guidance, needing compliance consulting.
  • Data mesh architectures standardize, requiring federated platform design services.

What critics are saying

  • AWS expands consulting, compressing Rearc margins within 6-12 months.
  • GenAI commoditization via Bedrock erodes bespoke premiums in 6-12 months.
  • Talent attrition to Accenture and Deloitte hits within 12-24 months.

What makes Rearc unique

  • Rearc specializes in bespoke LLM and MLOps for financial services enterprises.
  • Engineers from Wall Street Journal founding drive cloud-native expertise since 2016.
  • AWS Advanced Partner status enables specialized GenAI platform acceleration.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Parental Leave

Professional Development Budget

Remote Work Options

INACTIVE