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Fission Labs

AWS DevOps Engineer

Hyderabad
AWS EC2 ECS ECR Lambda Route 53 API Gateway CloudFront Cognito IAM CloudFormation S3 CloudWatch CloudTrail WAF DynamoDB Secrets Manager SES CodeBuild Jenkins ANT GitLab OpenAI Gemini FastAPI Python Vector databases Prompt Engineering API Deep Learning Machine Learning
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Description

Sr AWS DevOps Engineer-43775

Location: Hyderabad, India

Department: ENGINEERING

Experience: 5-10

Role: Sr AWS DevOps Engineer
Experience: 5+ 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 7+ years of experience to manage CI/CD pipelines, Salesforce environments, and cloud deployments. The ideal candidate will be responsible for automating deployment processes, managing environments, handling AWS secret management, and supporting Salesforce DevOps operations using Jenkins, ANT, and GitLab.

Must-Have Skills:

  • 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, and CloudTrail for monitoring, logging, and compliance.
  • 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.

Preferred (Nice-to-Have) Skills:

  • 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.
Fission Labs
Fission Labs

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