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Meta Software Engineer Jobs in St Louis, MO (NOW HIRING)

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Meta Software Engineer information

See St Louis, MO salary details

$61.7K

$143.4K

$199.8K

How much do meta software engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for meta software engineer in St. Louis, MO is $143,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $168,200.00 per year, depending on experience, location, and employer.

Is it hard to get a software engineer job at Meta?

Securing a software engineer position at Meta is competitive, often requiring strong technical skills, relevant experience, and proficiency in programming languages like Python or C++. Candidates typically go through multiple interview rounds assessing coding, system design, and problem-solving abilities. Having a solid portfolio, relevant internships, and knowledge of tools like React or GraphQL can improve chances.

What skills and qualifications are needed to be a Meta software engineer?

To thrive as a Meta Software Engineer, you need strong programming skills in languages such as Python, C++, or Java, a deep understanding of computer science fundamentals, and typically a bachelor's degree in computer science or a related field. Experience with large-scale distributed systems, cloud computing platforms, and familiarity with development tools like Git and debugging frameworks are essential; certifications in cloud services or specialized technologies can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers. These capabilities enable engineers to build high-quality, scalable products and seamlessly integrate within fast-paced, innovative technical teams.

What challenges do Meta software engineers face and how are they supported?

Meta Software Engineers often work on complex, large-scale systems that serve billions of users, presenting challenges such as optimizing performance, ensuring data privacy, and maintaining reliable uptime. The fast-paced environment requires engineers to stay current with rapidly evolving technologies and to frequently solve unique, open-ended problems. Meta provides robust support through collaborative teams, ongoing training, mentorship programs, and access to extensive internal knowledge resources. This environment helps engineers quickly ramp up, continuously improve their skills, and overcome technical and organizational hurdles efficiently.

What is a Meta software engineer?

A Meta Software Engineer is responsible for designing, developing, and optimizing software products and infrastructure that support Meta's applications and services. They work on large-scale systems, collaborating with cross-functional teams to build innovative solutions in areas such as AI, virtual reality, and social networking. The role requires strong coding skills, problem-solving abilities, and expertise in languages like Python, Java, or C++.

What are popular job titles related to Meta Software Engineer jobs in St. Louis, MO? For Meta Software Engineer jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Meta Software Engineer jobs in St. Louis, MO look for? The top searched job categories for Meta Software Engineer jobs in St. Louis, MO are:
Meta Software Engineer jobs near you
Infographic showing various Meta Software Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $143,426 per year, or $69 per hour.

Senior Mission Software Engineer, Public Sector

Scale AI, Inc.

Saint Louis, MO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 242 rated software companies

Job description

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 USD
The 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.

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