AI Cloud Platform Engineer

Bitwise; Laurel (MD); On-site; USD 198,000 - 233,000; Full time

Benefits offered by this job

Top salaries

401(k) match

Medical, dental, vision, life, and AD

Education assistance

PTO flexibility

Paid holidays

Snow days

Career growth opportunities

Job summary

Bitwise is building the next generation of AI infrastructure, and we need a Platform Software Engineer to help lay the foundation. This role focuses on the base cloud layer—AWS, Kubernetes, and security posture—upon which all AI capabilities run.

You will deploy and maintain reliable cloud infrastructure, build CI/CD pipelines, and collaborate with cross-functional teams to deliver robust systems for national security missions. A TS//SCI clearance with polygraph is required.

Qualifications

• 3 years of relevant experience with a B.S. in a technical discipline or 7 years of relevant experience in lieu of a degree
• Proficiency with Python or another modern programming language
• Familiarity with AWS or other cloud service providers
• Understanding of containerization concepts and tooling such as Docker
• Ability to learn new technologies quickly and adapt as requirements evolve
• Strong communication skills and a genuine willingness to ask questions
• Experience with AWS services such as EKS, Terraform, and IAM
• Experience with Kubernetes and Helm or Kustomize
• Experience with Argo CD and/or other CI/CD frameworks
• Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices
• Experience with certificate management
• Experience supporting cloud-native architecture or maintaining production software and infrastructure
• Familiarity with LLMs and AI hosting concepts

Responsibilities

• Deploying and maintaining cloud infrastructure on AWS and Kubernetes that supports the organization's AI capabilities
• Building and maintaining CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments
• Configuring and using observability tooling to monitor the health and performance of production services
• Supporting certificate management and following established security best practices for AI systems and data
• Collaborating with other teams across the organization to provision and configure the infrastructure their services depend on
• Diagnosing and helping resolve production infrastructure issues as they arise

Skills

Python programming

Strong communication

Adaptability

Problem solving

Learning quickly

Collaboration

Education

Bachelor's degree in a technical discipline

Tools

AWS

EKS

Terraform

IAM

Docker

Kubernetes

Helm

Kustomize

Argo CD

CI/CD pipelines

Observability tooling

Grafana/Prometheus

Elastic Stack

Job description

** An active TS//SCI clearance with polygraph is required for this role **

Bitwise is a leading provider of mission-focused intelligence solutions that advance national security for the Intelligence Community and Department of Defense. We're a small and growing company, so you can expect to hop in on the ground floor with us and be a consequential member of the team. You'll be more than a contract performer for us — you'll also be asked for ideas to improve our company and improve your career, and you'll contribute to our team culture. We value growth and community above almost all else, so we gather regularly for game nights, happy hours, tech talks, and plenty more. We think you'll like it here!

Remember, Bitwise is not a cult.

What We Look For

Bitwise hires talented engineers who are driven by purpose and who value a culture of technical excellence, growth, and overall wellness. We deliver new and innovative intelligence solutions to our customers at the very forefront of our country's national security missions. And we do it every single day. Our work matters, and so will you.

We ask that every new hire be able to:

• Contribute meaningful thought leadership — if not right away, over time
• Interact with our customers and earn their confidence in your abilities
• Be detailed, even if that means taking a little more time to get it right
• Contribute their ideas and ideals to improve all aspects of our company
• Allow us to invest in their education so we both grow together

We're building the next generation of AI infrastructure — and we need a Platform Software Engineer to help lay the foundation. This team owns the AWS infrastructure, Kubernetes clusters, and security posture that every AI capability in the organization runs on. You'll be working at the base layer: the systems that everything else depends on.

In this role, you'll deploy and maintain reliable, secure cloud infrastructure while supporting a broad ecosystem of AI-enabled applications. Mission needs shift fast and new technologies emerge constantly, so you'll be continuously sharpening your skills and turning loosely defined problems into working solutions. If you're someone who gets energized by that kind of environment, you'll fit right in here.

What you'll be doing day to day:

• Deploying and maintaining cloud infrastructure on AWS and Kubernetes that supports the organization's AI capabilities
• Building and maintaining CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments
• Configuring and using observability tooling to monitor the health and performance of production services
• Supporting certificate management and following established security best practices for AI systems and data
• Collaborating with other teams across the organization to provision and configure the infrastructure their services depend on
• Diagnosing and helping resolve production infrastructure issues as they arise

Requirements

• 3 years of relevant experience, with a B.S. in a technical discipline — or 7 years of relevant experience in lieu of a degree
• Proficiency with Python or another modern programming language
• Familiarity with AWS or other cloud service providers
• Understanding of containerization concepts and tooling such as Docker
• Ability to learn new technologies quickly and adapt as requirements evolve
• Strong communication skills and a genuine willingness to ask questions
• Experience with AWS services such as EKS, Terraform, and IAM
• Experience with Kubernetes and Helm or Kustomize
• Experience with Argo CD and/or other CI/CD frameworks
• Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices
• Experience with certificate management
• Experience supporting cloud-native architecture or maintaining production software and infrastructure
• Familiarity with LLMs and AI hosting concepts

Benefits at Bitwise

• Top salaries because we're top performers
• Pick your PTO — Everyone values time and money differently, so we give you the flexibility to choose between 3 and 5 weeks of PTO with a corresponding adjustment to your pay. Your choice, your balance.
• All 11 federal holidays, paid!
• Up to 2 snow days, paid!
• We'll quadruple (4x!) the first 6% you contribute to your 401(k), giving you up to a 24% company match. Contributing less than 6%? Unclaimed matches come right back to you as extra income, giving you a guaranteed 24% that goes to your retirement, to your paycheck, or both. C'mon now!
• 100% employer-paid medical, dental, vision, life, and disability insurances. That's a lot. Already covered on health insurance? No problem — we'll trade you this benefit for a boost to your salary instead.
• $5,250 annual education assistance for training, certifications, tuition, and even student loan repayments.
• Spot bonuses for obtained certifications, customer recognition, and just about anything else that makes us go "Hot damn!" We hope to say that many times about you.

Salary Range

$197,500 – $232,500

This range includes our flex income and depends upon your annual work hours.

Salary is determined on an individual basis following the interview process and considering various factors such as years of experience, skills, education, and certifications.

Bitwise is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. All employment decisions are based on qualifications, merit, and business needs.

Compensation for this position, including all compensation options, will be determined on an individual basis following the interview process.

If you require accommodations at any stage of the application or interview process, please reach out to us.