Job Description

Fold Health   |  Engineering


DevOps Engineer


Job Title


DevOps Engineer


Experience


3–5 Years


Location


Pune (Amar Tech Park, Balewadi) · Full-time · In-office


Domain


Healthcare (Preferred)


About Fold Health


Fold Health is building an AI-powered healthcare technology platform designed to support Value-Based Care (VBC) programs. By combining advanced data integration, analytics, and intelligent automation, we help providers, payers, and care teams deliver better outcomes and improve patient experiences. Our mission is to simplify healthcare technology, ensure interoperability, and enable innovation at scale. Join us and be part of shaping the future of AI-driven healthcare.


Role Overview


We are looking for a DevOps Engineer who will be responsible for building, maintaining, and scaling the cloud infrastructure and delivery pipelines that power Fold Health's healthcare platform. The ideal candidate is hands-on, reliability-focused, and comfortable working across AWS, GCP, Terraform, and Prometheus in a fast-paced healthcare environment.


Responsibilities


1. Cloud Infrastructure & Platform Engineering



  • Design, build, and maintain highly available, secure, and scalable cloud infrastructure across AWS and GCP.

  • Manage production environments including Amazon ECS Fargate, RDS PostgreSQL, ElastiCache, ALB, SQS/SNS, Lambda, Step Functions, Cognito, Route 53, and supporting GCP services.

  • Optimize cloud resources for performance, reliability, availability, and cost efficiency.

  • Design and maintain networking, security groups, load balancing, and disaster recovery capabilities.


2. Infrastructure as Code & Automation



  • Develop and maintain reusable Infrastructure as Code using Terraform following industry best practices.

  • Build, enhance, and maintain CI/CD pipelines to enable reliable, secure, and automated application deployments.

  • Automate infrastructure provisioning, operational tasks, and cloud governance through scripting and tooling.

  • Standardize infrastructure components, deployment patterns, and operational workflows across environments.


3. Observability, Monitoring & Incident Management



  • Build and maintain comprehensive monitoring, logging, and alerting solutions using CloudWatch, Prometheus, AlertManager, Grafana, and xMatters.

  • Develop actionable alerting strategies to reduce alert fatigue while ensuring rapid detection of production issues.

  • Create dashboards, metrics, and operational insights to improve platform health and service reliability.

  • Participate in production incident response, root cause analysis, and post-incident reviews, driving preventive improvements.


4. Reliability, Performance & Security



  • Ensure platform reliability, scalability, and performance through proactive capacity planning, tuning, and optimization.

  • Troubleshoot complex production issues across infrastructure, networking, databases, and distributed applications.

  • Implement security best practices including IAM, secrets management, encryption, vulnerability remediation, and least-privilege access.

  • Support compliance initiatives such as HIPAA, SOC 2, and HITRUST by implementing required technical controls and maintaining audit readiness.


5. Collaboration & Continuous Improvement



  • Partner with software engineering teams to improve application deployment, reliability, and operational excellence.

  • Advocate DevOps best practices, automation, and Infrastructure as Code throughout the engineering organization.

  • Continuously evaluate and adopt new cloud technologies, tools, and processes to improve platform efficiency and developer experience.

  • Create and maintain technical documentation, runbooks, and operational procedures to support knowledge sharing and onboarding.


Requirements


Requirements


·        Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.


·        3–5 years of hands-on experience in DevOps, Platform Engineering, or Site Reliability Engineering.


·        Strong experience with AWS services such as ECS, RDS, IAM, CloudWatch, ALB, Lambda, and networking.


·        Hands-on experience with Infrastructure as Code using Terraform and CI/CD pipelines using GitLab CI/CD or similar tools.


·        Strong experience with Docker and containerized application deployments.


·        Working knowledge of Kubernetes, including deployments, services, configuration, scaling, and troubleshooting.


·        Familiarity with PostgreSQL, Redis or ElastiCache, and microservices architectures.


·        Proficiency in Linux administration, Python or Bash scripting, and infrastructure automation.


·        Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, and AlertManager.


·        Good understanding of cloud security, IAM, networking, secrets management, and production troubleshooting.


·        Strong problem-solving, communication, and collaboration skills.


Good to Have


·        Experience with Google Cloud Platform services.


·        Experience managing Kubernetes workloads in production using EKS, GKE, or similar platforms.


·        Experience with on-call management tools such as xMatters or PagerDuty.


·        Knowledge of healthcare compliance standards such as HIPAA, HITRUST, or SOC 2.




Benefits




Why Join Us?


•     Opportunity to build and scale an AI-powered healthcare platform impacting millions of lives


•     Work with modern cloud technologies in a mission-driven environment


•     Collaborative and innovative culture with strong growth opportunities








Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. • 3–5 years of hands-on experience in DevOps, Platform Engineering, or Site Reliability Engineering. • Strong experience with AWS services such as ECS, RDS, IAM, CloudWatch, ALB, Lambda, and networking. • Hands-on experience with Infrastructure as Code using Terraform and CI/CD pipelines using GitLab CI/CD or similar tools. • Strong experience with Docker and containerized application deployments. • Working knowledge of Kubernetes, including deployments, services, configuration, scaling, and troubleshooting. • Familiarity with PostgreSQL, Redis or ElastiCache, and microservices architectures. • Proficiency in Linux administration, Python or Bash scripting, and infrastructure automation. • Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, and AlertManager. • Good understanding of cloud security, IAM, networking, secrets management, and production troubleshooting. • Strong problem-solving, communication, and collaboration skills
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