REVMIND AI LABS PRIVATE LIMITED Logo

REVMIND AI LABS PRIVATE LIMITED

Senior Cloud DevOps Engineer

Posted 3 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in IND
Senior level
Remote
Hiring Remotely in IND
Senior level
Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.
The summary above was generated by AI

This is a remote position.

About the Role

Revmind Labs AI is a boutique deep-tech AI company building production-grade AI and software systems for enterprise customers, especially in pharma and CPG. We build tailored AI solutions, analytics platforms, dashboards, data workflows, AI/LLM-powered systems, and enterprise-ready applications that move from idea to production.

Revmind Labs AI is looking to fill the role of a Senior Cloud DevOps Engineer, working as a Forward Deployed Engineer (FDE) embedded with a Fortune 20 healthcare client. In this role, you will be deployed remotely with the client's team, responsible for developing, running, and continuously refining a modern, cost-effective, secure, and scalable cloud platform that supports the client's analytics and AI needs.

Primary Job Function

The Senior Cloud DevOps Engineer will own the design, deployment, and reliability of Revmind's AWS cloud platform — including infrastructure automation, containerized and serverless workloads, observability, and security — while ensuring stable, scalable infrastructure for data science, AI, and enterprise product development.

Core Job Responsibilities

Design, deploy, and manage secure, scalable AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation).

Build and maintain CI/CD pipelines and automation scripts (Python, Bash) to streamline deployment and reduce manual effort.

Implement containerized workloads (Docker) and serverless architectures (AWS Lambda) to support platform and analytics needs.

Establish and enforce code quality and testing standards across pipelines using tools such as SonarQube.

Establish observability (logging, metrics, tracing, alerting), monitor platform performance, and troubleshoot production incidents with root cause analysis.

Implement security best practices, compliance controls, and infrastructure hardening aligned with Information Security and Data Privacy principles.

Collaborate with Development teams (front end, backend), AI Engineering, and business stakeholders to deliver AI and Analytics solutions on time.

Define, document, and drive continuous improvement of cloud platform best practices and processes.



RequirementsMinimum Experience

4+ years deploying and managing solutions on AWS, with strong hands-on experience in Terraform, CloudFormation, and CI/CD (Github Actions or similar).

Proficiency in Python and Bash for automation; working knowledge of JavaScript, Scala, or Java.

Experience with containerization (Docker) and serverless architecture (AWS Lambda).

Strong understanding of Microservices Architecture, with proficiency across core AWS services such as Lambda, S3, EC2, CloudWatch, SNS, Secrets Manager, SQS, and API Gateway.

Strong knowledge of relational and NoSQL database technologies, plus data warehousing/ETL practices.

Deep understanding of Information Security principles and cloud security best practices, with hands-on exposure to API security tooling (Akamai Noname), cloud infra security (Prisma Cloud), and observability platforms (New Relic, CloudWatch, or equivalent).

Additional Technical Skills

Experience with front-end (React Native/JS) and back-end (Flask, Node.js, FastAPI) frameworks.

Familiarity with Redshift, MySQL, DynamoDB, and RESTful API design.



BenefitsCompensation, Benefits, and Growth

Compensation will be up to 30 LPA.

For India-based candidates, benefits may include:

    Competitive fixed compensation aligned to experience, ownership level, and role scope.

    Remote-first work setup, with practical flexibility around working hours where delivery and collaboration needs are met.

    Paid time off, sick leave, and applicable Indian public holidays.

    Health insurance support or medical benefits, depending on employment structure and company policy.

    Learning and upskilling support for relevant engineering, cloud, AI, product, and DevOps areas.

    Home-office, equipment, or software support where applicable to the role.

    Opportunity to work directly with founders and senior stakeholders on high-impact AI and analytics products.

    A serious builder environment with high ownership, direct feedback, low ego teamwork, and meaningful technical problems.

Career Gaps and Non-Linear Paths

Career gaps or non-linear paths are not a problem. If you have taken a break for personal, family, health, caregiving, relocation, layoff-related, professional, or other reasons, that will not count against you by default. We care more about what you can build now, how you think, how you learn, how you handle feedback, and how you work with others.



Similar Jobs

11 Days Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology
Design, build, and operate secure, scalable Azure and GCP cloud environments using Terraform, Ansible, Kubernetes, and CI/CD. Implement DevSecOps practices—pipeline security, vulnerability scanning, secrets management, monitoring, SLOs/SRIs—and contribute to portal application code (modern JS/TS + REST). Work US Eastern hours with the team to deliver reliable, automated infrastructure and deployments.
Top Skills: Ai Coding AssistantsAksAnsibleApplication GatewayArgocdAWSAzureAzure Key VaultAzure MonitorBashCis BenchmarksContainer Image ScanningFedrampFipsGithub ActionsGkeGoogle Cloud MonitoringGoogle Cloud Platform (Gcp)GrafanaHelmIsoJavaScriptJenkinsKubernetesLog AnalyticsManaged IdentitiesNsgPciPowershellPrometheusPythonRest ApisSupply Chain SecurityTerraformTypescriptVnet
9 Hours Ago
Easy Apply
In-Office or Remote
Easy Apply
Mid level
Mid level
Cloud • Information Technology • Security • Software
Design, build, and maintain scalable authentication and identity microservices using Go/Python/Node.js. Implement OAuth2/OIDC/JWT and SSO flows, deploy cloud-native services on AWS using Docker and Kubernetes, write automated tests and CI/CD pipelines, use AI-assisted coding tools, collaborate cross-functionally, and participate in on-call rotations.
Top Skills: Aws Ec2Aws LambdaAws S3Ci/CdCursorDockerDynamoDBGithub CopilotGoJwtKubernetesNode.jsOauth 2.0Openid ConnectPythonTerraform
9 Hours Ago
Remote or Hybrid
India
Expert/Leader
Expert/Leader
Cloud • Information Technology • Security • Software • Cybersecurity
The Country Director will lead Cloudflare's operations in SAARC, driving revenue growth, customer service, and team effectiveness while collaborating across functions in the region.

What you need to know about the Pune Tech Scene

Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account