Senior AI Platform Engineer, AWS & Kubernetes

Bitwise

$282K — $332K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Active TS//SCI clearance with polygraph required
  • 12 years of experience in software engineering (or 16 years without a B.S. degree)
  • B.S. in a technical discipline or equivalent professional experience
  • Production experience with AWS (EKS, Terraform, IAM, Route 53)
  • Strong hands-on experience with Kubernetes, Helm, and containerization technologies
  • Expertise with CI/CD frameworks like Argo CD
  • Proficiency in observability tools like Elastic Stack and Grafana

Responsibilities

  • Lead design and deployment of cloud infrastructure for AI capabilities
  • Translate stakeholder goals into engineering outcomes
  • Define structured solutions in ambiguous problem spaces
  • Mentor engineers and establish best practices
  • Enforce security best practices for infrastructure and data management

Benefits

  • Flexible PTO options (3-5 weeks) with pay adjustments
  • Paid all 11 federal holidays and up to 2 paid snow days
  • 401(k) matching up to 24% for first 6% contributed
  • 100% employer-paid medical, dental, vision, life, and disability insurance
  • $5,250 annual education assistance for training and certifications
  • Spot bonuses for certifications and exceptional work contributions
Full Job Description
Senior Software Engineer - Platform

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

About this Role

You'll join our Platform team as a Senior Software Engineer, leading the design, deployment, and maintenance of the cloud infrastructure that powers AI capabilities across our customer's organization. This is foundational work - every AI service, every application, every innovation depends on the infrastructure you'll build and maintain.

In this role, you will:
  • Lead the design, deployment, and maintenance of cloud infrastructure (AWS, Kubernetes) that supports the organization's AI capabilities
  • Translate high-level stakeholder goals into concrete engineering outcomes and platform solutions
  • Work within ambiguous problem spaces to define structured, executable solutions for your team
  • Mentor engineers and establish development best practices, engineering standards, and technical governance
  • Establish and enforce security best practices for infrastructure systems and data, including certificate and identity management

You'll thrive in an environment where requirements shift quickly as mission needs evolve and new technologies emerge. You're comfortable turning loosely defined problems into working solutions, and you're committed to continuously sharpening your skills to meet the challenges ahead.

Requirements
  • 12 years of experience (or 16 years with alternative experience for candidates without a B.S. in a technical discipline)
  • B.S. in a technical discipline (or 4 additional years of professional experience in lieu of degree)
  • Production experience with AWS services including EKS, Terraform, IAM, and Route 53
  • Strong hands-on experience with Kubernetes and Helm/Kustomize
  • Demonstrated expertise with Docker and containerization technologies
  • Experience with Argo CD and/or other CI/CD frameworks
  • Proficiency configuring and using observability tooling such as Elastic Stack (Kibana) and Grafana/Prometheus
  • Experience with certificate management and cloud-native security practices
  • Track record supporting cloud-native architecture and maintaining production software and infrastructure
  • Ability to take high-level mission goals and transform them into engineering outcomes
  • Excellent communication, stakeholder management, and leadership skills
  • Demonstrated ability to balance hands-on engineering with leadership and coordination responsibilities

Preferred Skills
  • Experience developing technical policies and governance frameworks
  • Familiarity with AI inference serving technologies (vLLM, LiteLLM, etc.)
  • Previous experience with agentic frameworks
  • Knowledge of vector databases and embedding systems
  • 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

$282,000 - $332,000

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.

What to Expect After Applying

You'll get an email from us right away to acknowledge your application. After that, we'll:
  • Send over additional company materials for you to review
  • Schedule a video call to talk about you, our company, and your place in it
  • Craft a delightful offer package for you and record a video walkthrough
  • Work closely with you through onboarding. We'll keep it joyful and easy.

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