Offer summary

Qualifications:

BSc Degree in Computer Science, Engineering, or a related field., 10+ years of experience in DevOps and Security for enterprise software applications., 5+ years of experience with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes)., 3+ years of experience in building data pipelines and analytics models..

Key responsabilities:

Design, build, and maintain scalable infrastructure for data and ML workflows.

Implement cloud storage and processing solutions and manage security controls.

Configure CI/CD for software deployment and troubleshoot infrastructure issues.

Collaborate with engineers and scientists to support feature development and provide mentorship.

Job description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.

We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.

We seek a Lead DevSecOps Engineer to join our growing team and contribute to its success. This role will focus on building, maintaining, and scaling the infrastructure that supports our platform and data deployments for the VIP SaaS Platform and Internal Tools and Applications.

Join us in building a more sustainable world through the power of AI and scientific innovation.

Requirements

Key Responsibilities

Design, build, and maintain scalable and resilient infrastructure supporting data and ML workflows following standard engineering quality and architecture best practices
Implement data storage and processing solutions using cloud technologies (e.g., AWS, Azure, GCP) and cloud-agnostic deployments using Kubernetes
Own security (SOC2 and ISO 27001) controls and automation using RBAC, automation, and observability best practices
Configure CI and CD to automate the build, testing, and deployment of software and release management to dev/test/staging/prod environments
Troubleshoot and resolve issues across infrastructure and data pipelines, optimize cluster for performance and auto-scaling
Work closely with software engineers, data engineers, and research scientists to understand and support feature development
Understand the pros and cons of implementation options and articulate the cost, performance, timing, and effort details
Understand the market and trends in technology and architecture and propose solutions aligned to the problem at hand
Collaborate with peers on ideas/solutions and provide mentorship to junior members/interns
Adapt communications to technical and non-technical stakeholder

What We’re Looking For

BSc Degree in Computer Science, Engineering, or a related field
10+ years working in DevOps and Security for enterprise software applications
5+ years of experience with cloud platforms (AWS, Azure, GCP)
5+ years of experience in containerization and orchestration tools (Docker, Kubernetes)
3+ experience with databases and platforms (Postgres, Redshift, Athena, Snowflake)
3+ years of experience in building data pipelines and features for analytics models

Benefits

We offer excellent pay & benefits. 

Benefits coverage including medical, dental, vision, disability and life insurance
Retirement fund employer contribution
Generous Paid Time Off & Holidays
Stock options
Performance-based bonus
Salary range depending on experience & geographic location

Required profile