We are looking for an SDE 1 - 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.
Responsibilities
- 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 containerised 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.
Requirements
- 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.
- 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).
This job was posted by Alyma Khan from AiDASH.
