Level

Scale AI

Senior Mission Software Engineer, Public Sector

Scale AI is hiring a Senior Mission Software Engineer, Public Sector in Austin and Washington DC, United States. It pays $223k-$279k a year and Level rates it ; you can apply on Scale AI.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 33% higher than the typical software engineer posting on Level.
  • The posting mentions Python, TypeScript and AWS among its tools and skills.
  • Level classes it as a senior role.
  • Scale AI has 170 other open roles on Level.

AI in this role

Build and deploy AI applications and backend integrations for public sector customers in a forward-deployed engineering role.

pythontypescriptawsazuregcpkubernetesdockerterraform
backendcloudcontainersnetworkingetl

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions.

This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector.

What you'll do

  • Embed with government customers to understand their mission, scope the problem, and turn it into working software.
  • Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production.
  • Build robust backend systems and data integrations that connect customer environments to Scale's platform and back.
  • Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse.
  • Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.

What we're looking for

Required

  • 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.
  • Strong production coding in Python and TypeScript (or comparable modern languages).
  • Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.
  • Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.
  • An active TS/SCI clearance.

Bonus

  • Experience building or deploying systems powered by LLMs or generative models.
  • Familiarity with Node and React, Kubernetes and Docker, and Terraform.
  • Data engineering background covering ETL pipelines, data modeling, and data governance.

Location and travel

This role requires significant time on-site with customers. Expect 25% travel with up to 50% travel as necessary, and/or relocation to Washington DC or St. Louis.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is:$223,200—$279,000 USDThe base salary range for this full-time position in the location of St. Louis/Suffolk is:$186,000—$233,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision. 

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

How we rate this

Senior Mission Software Engineer, Public Sector at Scale AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

BackendCloudContainersNetworkingETLPythonTypeScriptAWS

Also common in software engineer jobs at this level

Pay

This job starts at
$223k
Typical software engineer job
$168k

This posting starts 33% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where backend was part of your work. What did you do?
  2. Tell me about a project where cloud was part of your work. What did you do?
  3. Tell me about a project where containers was part of your work. What did you do?
  4. Tell me about a project where networking was part of your work. What did you do?
  5. Tell me about a project where etl was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Backend, Cloud, Containers, Networking, and ETL. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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