Senior Software Engineer DevOps

Hello,

ZettaMine!!!

Freelancing Opportunity:

Locations:

Role:

Experience:

Employment Type:

Mode:

Mandatory Eligibility Criteria

Technical Qualifications:

• Minimum 5+ years of experience in AWS infrastructure automation using

  AWS CloudFormation

  .
• Strong hands-on experience with AWS services, including

  Lambda, DynamoDB, SQS, ECS, API Gateway, and Kinesis

  .
• Proficiency in software development using

  Python or Go

  .
• Experience designing and implementing

  CI/CD pipelines

  for application build, testing, and deployment.
• Strong understanding of infrastructure provisioning and automation.
• Experience with cloud cost optimization, auto-scaling, and down-scaling solutions.
• Knowledge of AWS security automation and policy enforcement across AWS accounts.
• Familiarity with containerization technologies such as

  Docker

  .
• Experience with Java tooling, including

  Maven and Spring

  .
• Proficiency in version control systems, particularly

  Git

  .
• Experience working in an Agile development environment.
• Strong problem-solving, communication, and collaboration skills.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience.

Nice to Have:

• Experience developing self-service automation tools for developers.
• Strong understanding of cloud architecture and distributed systems.
• Previous participation in LLM research or AI evaluation projects.
• Experience supporting enterprise-level cloud infrastructure and automation.

Availability & Commitment

• Must be available for

  8 hours per day

  .
• Required overlap of at least

  4 hours with PST business hours

  .

What You'll Work On:

• Develop and support self-service automation tools for developers.
• Design and implement CI/CD pipelines to build, test, and deploy applications.
• Automate AWS infrastructure provisioning using CloudFormation.
• Optimize cloud infrastructure costs through auto-scaling and down-scaling solutions.
• Implement security automation and enforce policies across AWS accounts.
• Collaborate with product teams to architect and support new cloud workloads.
• Work on real-world software engineering and infrastructure automation tasks.
• Contribute to AI research initiatives focused on evaluating and improving advanced LLM capabilities.

Interested Candidates:

updated CV and LinkedIn profile URL