Senior Dev Operations Engineer

Senior DevOps Engineer

About HolisticAI

HolisticAI, headquartered in Silicon, is a technology company specializing in AI solutions. Our AI Governance, Risk, and Compliance Platform ensures safe AI adoption by addressing trust, risk, security, and compliance. Our mission is to empower organizations to scale AI confidently, while our vision is to lead in Responsible AI. We value customer focus, innovation, communication, and problem-solving. Join us in shaping the future of AI! For more information, visit our website at HolisticAI. Ideally you are in Bay Area, California this will be a hybrid role.

Role Overview

As a Senior DevOps Engineer, you will be a key player in ensuring the reliability, scalability, and efficiency of our 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.

Responsibilities:

• 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.

• Containerization and Orchestration:

• Deploy and manage containerized applications using Kubernetes.

• Optimize container workloads for performance and resource utilization.

• 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.

• 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

• Security and Compliance:

• Implement security best practices for cloud environments.

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

• 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.

• 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.

• Data Pipelines:

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

• Familiarity with tools like Apache Kafka, Apache Airflow, 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 Certified DevOps Engineer

• Professional, AWS Certified 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.

How to Apply

If you're excited about shaping the future of software development and contributing to groundbreaking solutions, we'd love to hear from you!

HolisticAI is an equal opportunity employer. We welcome applicants from diverse backgrounds and experiences.