Senior DevOps Engineer

About HolisticAI

Holistic AI is an AI Governance Platform whose mission is to empower enterprises to adopt and scale AI with confidence. Through our 360 solution for AI management, risk, compliance safety, and security, we empower trust in AI and enable enterprises to maximise the value of their AI, minimise reputational, legal and commercial risks, and accelerate innovation.

We have pioneered the field of AI Governance with clients including Fortune 500 corporations, SMEs, governments and regulators. Your work will be engaging, and within a diverse and caring team, all of whom are lifelong learners.

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:

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.

1. 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.
2. 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.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work in a hybrid model (partially remote, partially on-site) at our Silicon development center.
• Access to cutting-edge technologies and continuous learning opportunities.
• Opportunities for professional development and career advancement
• A chance to be part of a vibrant and innovative team shaping the future of AI governance
• Many others!

How to Apply

If you’re excited about joining a world-class AI Governance company for this role, we’d love to hear from you! Apply now with your CV/resume.

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

By applying for this or any of our roles, you acknowledge that Holistic AI will be storing your personal details in our ATS to process your job application. For further information please refer to our Privacy Policy.