Senior DevOps Engineer
Bangalore, India
Engineering /
Full Time /
Hybrid
RapidAI is transforming clinical decision-making with the world’s most advanced AI-driven imaging and care coordination solutions. RapidAI empowers care teams with the deepest clinical insights to accelerate diagnosis, streamline workflows, and improve patient outcomes. Running on the secure and scalable Rapid Edge Cloud, RapidAI solutions drive efficiency, enhance collaboration, and enable faster, more confident treatment decisions. Trusted by hospitals worldwide, RapidAI is setting new standards for coordinated, life-saving care by helping hospitals do and see more with ease.
What you will do:
- Continuous Integration and Delivery (CI/CD): Design, implement, and maintain CI/CD pipelines to automate the build, test, and deployment processes, enabling frequent and reliable releases utilizing the Codefresh CI/CD platform.
- Infrastructure as Code (IaC): Utilize tools such as Terraform and Ansible to define and manage infrastructure resources programmatically, ensuring consistency and reproducibility across environments.
- Containerization and Orchestration: Implement containerized solutions using AWS EKS and orchestrate containerized applications with Kubernetes and SpectroCloud to achieve scalability, resilience, and portability.
- Monitoring and Logging: Set up monitoring and logging solutions (e.g., Prometheus, etc.) to enable tracking system performance, identification of issues, and assist engineering teams proactively troubleshooting potential problems.
- Automation and Scripting: Develop scripts and automation workflows using scripting languages like Python & Bash to automate repetitive tasks and improve operational efficiency.
- Configuration Management: Manage configuration drift and enforce desired state configurations using tools like Ansible, ensuring consistency and compliance across servers.
- Collaboration and Communication: Work closely with development, QA, and operations teams to promote a DevOps culture, facilitate knowledge sharing, and drive collaboration towards common goals.
- Security and Compliance: Implement security best practices and compliance standards (e.g., HIPAA, GDPR) throughout the software delivery pipeline, ensuring data protection and regulatory compliance.
- Capacity Planning and Optimization: Monitor resource utilization, analyze performance metrics, and conduct capacity planning to optimize infrastructure resources and support business growth within agreed upon financial constraints.
- Requirements Gathering: Meet with product engineering teams to document requirements and work requests into Jira stories.
- Author technical documentation. Document processes and procedures into Atlassian Confluence.
- HR: This position does not have direct reports.
- Other: Perform any other related activities assigned by reporting manager.
- Required Technical Skills
- Advanced knowledge of AWS services, particularly:
- Compute: EC2, EKS, Lambda
- Networking: VPC, Transit Gateway, Direct Connect
- Persistence: RDS, S3
- Security: IAM, KMS, Security Hub, Guard Duty, Inspector, Detective
- Monitoring: CloudWatch, X-Ray
- Container orchestration expertise:
- Kubernetes administration and troubleshooting
- Helm chart development
- Container security and optimization
- Infrastructure as Code:
- Terraform modules and workspace management
- Configuration management using Ansible
- CI/CD and automation:
- Codefresh pipelines
- GitOps workflows
- Shell scripting (Bash/Python)
- Observability stack:
- Open Source: Prometheus/Grafana, OpenTelemetry
- Vended / Enterprise Metrics, Events, Logs and Trace management solutions
- Distributed tracing and Application Performance Monitoring
What you bring:
- Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience
- 10 years of experience in DevOps/SRE roles
- Previous success supporting development teams leveraging Go, Swift, Python, C
- Demonstrated experience with HIPAA-compliant infrastructure
- AWS Professional certifications (Solutions Architect and/or DevOps Engineer) preferred
RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
