Lead DevSecOps Engineer

Posted 22 Days Ago
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Hiring Remotely in México
Remote
Senior level
Artificial Intelligence • Software
The Role
The Lead DevSecOps Engineer will build and maintain resilient infrastructure for data and ML workflows, manage security controls, automate CI/CD processes, and collaborate with engineers and scientists to deliver scalable solutions.
Summary Generated by Built In

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 

Top Skills

Athena
AWS
Azure
Docker
GCP
Kubernetes
Postgres
Redshift
Snowflake
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The Company
HQ: San Francisco, CA
43 Employees
On-site Workplace
Year Founded: 2018

What We Do

NobleAI offers commercially proven Materials Informatics solutions built with our innovative Science-Based AI technology. Global companies use the actionable insights and predictions delivered by our powerful cloud-based NobleAI Reactor Platform to accelerate product development and reduce costs while improving product performance, sustainability, and reliability. #sciencebasedAI #materialsinformatics

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