Role: Lead AWS DevOps Engineer
Experience: 8-12 years
Location: Hyderabad
Fission Labs, headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.
What are we looking for!
A skilled AWS DevOps Engineer with 8+ years of experience to manage CI/CD pipelines, environments, and cloud deployments. The ideal candidate will be responsible for automating deployment processes, managing environments, handling AWS secret management, and supporting DevOps operations using Jenkins, ANT, and GitLab.
Responsibilities
- Proficiency in AWS Cloud services such as EC2, ECS, ECR, Lambda, Route 53, API Gateway, CloudFront, Cognito, and IAM.
- Experience with CloudFormation for infrastructure as code (IaC) and automation.
- Strong understanding of S3, CloudWatch, CloudTrail, and Observability practices for monitoring, logging, and compliance.
- Strong hands-on experience with Kubernetes, Terraform, and Ansible.
- Experience in setting up Load Balancers, WAF, and Route 53 for high availability and security.
- Hands-on experience with DynamoDB and Secrets Manager for data and credential management.
- Knowledge of AWS SES for application-based email services.
- Expertise in implementing CI/CD pipelines using AWS CodeBuild and integrating automated testing and deployments.
- Good understanding of security best practices, IAM policies, and access control across AWS services.
- Ability to troubleshoot, optimize, and automate deployments efficiently.
- Support DevOps operations using Jenkins, ANT, and GitLab.
Qualifications
- 8+ years of experience in Infrastructure Mgmt / DevOps roles.
- Hands-on experience with operations (DevSecOps) principles and best practices.
- Exposure to LLM models and frameworks such as OpenAI and Gemini.
- Familiarity with Vector databases, Prompt Engineering, and FastAPI for building AI-powered applications.
- Good knowledge in Python for automation, scripting, and backend service development.
- Excellent communication and collaboration skills.
You would enjoy
- Opportunity to work on impactful technical challenges with global reach.
- Vast opportunities for self-development, including online university access and knowledge sharing opportunities.
- Sponsored Tech Talks & Hackathons to foster innovation and learning.
- Generous benefits packages including health insurance, retirement benefits, flexible work hours, and more.
- Supportive work environment with forums to explore passions beyond work.
