As a Senior DevOps Engineer, you will own the build, deployment, and operation of our cloud-native platform. You will design and maintain CI/CD pipelines, infrastructure as code, container orchestration, and observability for production ML and application workloads. You will work closely with software, ML, and data engineers to improve release velocity and system reliability, and you will help set the engineering standards the rest of the team follows.

Key Responsibilities
- Design, build, and maintain CI/CD pipelines for application, data, and machine learning workloads.
- Provision and manage cloud infrastructure using infrastructure as code (for example, Terraform or Pulumi).
- Operate containerized services on Kubernetes, including scaling, networking, secrets management, and upgrades.
- Build and maintain monitoring, logging, tracing, and alerting so issues are detected before customers feel them.
- Drive reliability practices: SLOs and error budgets, incident response, runbooks, and blameless post-incident reviews.
- Partner with ML engineers to support model training, deployment, and versioning pipelines (MLOps).
- Enforce security and compliance across the delivery lifecycle, including access control, secrets handling, and vulnerability scanning.
- Optimize cloud cost and performance, and make sensible capacity planning decisions.
- Mentor engineers,



review infrastructure changes, and document patterns that others can reuse. Required Qualifications
- 5+ years of experience in DevOps, SRE, platform, or infrastructure engineering.
- Robust hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Azure is preferred.
- Proficiency with Docker and Kubernetes in production environments.
- Solid experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
- Working knowledge of infrastructure as code (Terraform) and configuration management.
- Scripting ability in Python, Bash, or Go.
- Experience with monitoring and observability stacks (for example, Prometheus, Grafana, ELK, or Datadog).
- Good understanding of Linux systems, networking fundamentals, and security best practices.
- Strong communication skills and the ability to work across product, data, and engineering teams. Preferred Qualifications
- Experience supporting ML or data platforms (for example, MLflow, Kubeflow, SageMaker, or Vertex AI).
- Familiarity with GitOps tooling such as Argo CD or Flux.
- Background in supply chain, retail, or consumer goods analytics platforms.
- Relevant certifications such as AWS Solutions Architect, CKA, or Terraform Associate.

📌 Senior Devops Engineer (Bengaluru)
🏢 Asper.ai
📍 Bengaluru