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AiDash - Software Development Engineer I - DevOps

AiDash
Bangalore
1 - 4 Years

Posted on: 24/01/2026

Job Description

Description :

The Role :


We are looking for a Software Development Engineer I DevOps to help us scale and secure our infrastructure through automation and sound engineering practices.

You will play a key role in building and maintaining cloud environments, CI/CD pipelines, monitoring setups, and infrastructure as code.

This is a hands-on engineering role where your contributions will directly impact how we build, ship, and run our products.

How youll make an impact :

- Design, implement, and manage scalable infrastructure on AWS, Azure, or GCP

- Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or similar

- Manage containerized workloads using Docker and Kubernetes

- Implement monitoring and logging using tools like Prometheus, Grafana, or ELK

- Automate infrastructure using Terraform, Ansible, CloudFormation, or equivalent

- Collaborate with developers, QA, and SREs to improve deployment workflows and system reliability

- Drive continuous improvements in stability, scalability, and performance

What we're looking for :

- 1+ years of experience in DevOps or infrastructure engineering roles

- Hands-on experience with at least one infrastructure-as-code tool (e.g., Terraform, Ansible)

- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP)

- Exposure to CI/CD pipelines and version control systems (e.g., Git)

- Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK)

- Experience with containers and orchestration (Docker, Kubernetes)

- Strong scripting skills in Python, Bash, or similar

- Ability to work collaboratively in a fast-paced, cross-functional environment

Good to have :

- Certifications such as AWS Certified DevOps Engineer or Certified Kubernetes Administrator (CKA)

- Familiarity with SRE practices (SLIs, SLOs, error budgets)

- Experience managing production databases (e.g., PostgreSQL, MySQL, NoSQL)

- Exposure to serverless architectures (e.g., AWS Lambda, Azure Functions)


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