Senior Devops Engineer

Role OverviewAs a Senior DevOps Engineer, you will be a key player in ensuring the reliability, scalability, and efficiency of our client's software applications. Your expertise in cloud technologies, infrastructure automation, and observability will be critical for delivering high-quality solutions. You'll collaborate closely with cross-functional teams to achieve our quality goals and contribute to both front-end and back-end development. Hybrid role preferable in Bay Area Ca.

Responsibilities:

1.Cloud Infrastructure Management:

-Design, build, and maintain cloud infrastructure using Terraform for provisioning and managing resources across
AWS, Azure, and GCP.

-Implement best practices for Cloud operations and ensure scalability, reliability, and security.

-Keep up to date with new cloud services and features.

2. Containerization and Orchestration:

--Deploy and manage containerized applications using Kubernetes.

- Optimize container workloads for performance and resource utilization.

3. Observability and Monitoring:

-Set up robust monitoring and logging solutions using tools like Datadog, Prometheus, Grafana, and EFK stack.

-Ensure observability across the entire stack, from infrastructure to application code.

4.CI/CD Pipeline:

- Build and enhance continuous integration and continuous deployment (CI/CD) pipelines.

- Utilize tools such as GitHub Actions, GitLab CI/CD or Jenkins

5. Security and Compliance:

- Implement security best practices for cloud environments.

- Collaborate with security teams to ensure compliance with industry standards.

6. Identity and Access Management (IAM):

- Configure and manage access controls, permissions, and roles for cloud resources

Integrate with external Identity Providers (IdPs) for secure authentication and authorization.

7.MLOps and LLMOps:

- Leverage MLOps practices for deploying and managing machine

learning models in production.

- Understand the lifecycle of machine learning applications and their integration into the DevOps pipeline.

8. Data Pipelines:

- Set up efficient data pipelines for data ingestion, transformation, and storage.

- Familiarity with tools like Apache Kafka, Apache Air0ow, or AWS Glue is a plus.

Technologies:

-React JS, NodeJS, TypeScript, Java Spring Boot, Python Flask

-API GW, API Management, Lambda/Functions, Pub/Sub, Kafka, Glue

-Postgres, NoSQL Databases

Automation:

-Integrate GitHub Actions into our CI/CD pipeline for streamlined code deployment and automation.

-Proficient in scripting in shell, python, cloud SDKs

-Integrate Test automation tools, code coverage, SAST, DAST and VAPT tools

Qualifications:

-Bachelor's or master's degree in computer science, Engineering, or related field.

-Relevant certifications such as AWS/Azure/GCP Certi2ed DevOps Engineer – Professional, AWS Certi2ed Solutions Architect –Associate, or equivalent.

-Strong experience with Terraform, Kubernetes, and observability tools.

-Excellent problem-solving skills and ability to troubleshoot complex issues.

-Passion for automation, scalability, and continuous improvement