1

Platform Engineering Manager Jobs in Colorado (NOW HIRING)

Partner with Sales, Account Management, and Trace3 architects to shape pursuits, develop proposals ... Platform Engineering Strategy and Architecture * Develop enterprise platform engineering strategies ...

Partner with AI platform teams to leverage LLMs, AI Agents, MCP, Retrieval-Augmented Generation (RAG), and enterprise knowledge platforms. * Build Modern Cloud Financial Management Solutions Lead ...

Partner with Sales, Account Management, and Trace3 architects to shape pursuits, develop proposals ... Platform Engineering Strategy and Architecture * Develop enterprise platform engineering strategies ...

Sr. DevOps Engineering Manager

Denver, CO · On-site

$133K - $171K/yr

Manage and mentor DevOps, platform, and/or software engineering individual contributors. * Establish technical direction, engineering standards, and operational best practices for cloud ...

Platform Engineer

Boulder, CO · On-site

$140K - $165K/yr

Atom Computing is seeking a Platform Engineer to build and operate the systems that power our ... Reporting to the Infrastructure Engineering Manager, you'll collaborate closely with a talented ...

This is the hands-on engineering seat behind our AI and automation platforms, the person who ... Integrate platforms with enterprise identity (Entra ID/OIDC), secrets management, and source ...

Platform Engineer

Boulder, CO · Hybrid

$140K - $165K/yr

Atom Computing is seeking a Platform Engineer to build and operate the systems that power our ... Reporting to the Infrastructure Engineering Manager, you'll collaborate closely with a talented ...

Platform Engineer

Boulder, CO · Hybrid

$140K - $165K/yr

Atom Computing is seeking a Platform Engineer to build and operate the systems that power our ... Reporting to the Infrastructure Engineering Manager, you'll collaborate closely with a talented ...

next page

Showing results 1-20

Platform Engineering Manager information

What is a platform engineering manager?

Platform Engineering Managers are technology leaders responsible for overseeing teams that build and maintain the foundational systems and infrastructure used by software development and operations teams. They ensure that platforms are scalable, reliable, and efficient, enabling other engineers to develop, deploy, and operate applications seamlessly. Their role includes managing team members, coordinating with stakeholders, setting technical direction, and ensuring best practices in automation, security, and cloud infrastructure. They often bridge the gap between development and operations to foster a DevOps culture.

How does a platform engineering manager typically collaborate with software development and operations teams?

A Platform Engineering Manager plays a pivotal role in bridging the gap between software development and operations teams. They work closely with developers to understand application requirements and with operations to ensure scalability, reliability, and security of the infrastructure. Regular collaboration includes overseeing the design and implementation of platform tools, facilitating communication during incident responses, and aligning platform capabilities with business needs. This cross-functional teamwork ensures that the platform supports efficient and reliable software delivery across the organization.

What are the key skills and qualifications needed to thrive as a platform engineering manager, and why are they important?

To thrive as a Platform Engineering Manager, you need a strong background in software engineering, cloud infrastructure, and experience leading technical teams, often supported by a degree in computer science or a related field. Familiarity with tools such as Kubernetes, Docker, CI/CD pipelines, and cloud platforms like AWS or Azure, along with certifications such as AWS Certified Solutions Architect, is highly valued. Exceptional leadership, communication, and problem-solving skills help you motivate teams and coordinate complex projects. These skills and qualities are crucial for building robust, scalable platforms and ensuring team alignment with organizational goals.

What is the difference between Platform Engineering Manager vs DevOps Engineer?

AspectPlatform Engineering ManagerDevOps Engineer
CredentialsBachelor's/Master's in Computer Science, relevant certificationsBachelor's in CS or related, certifications like AWS, Docker, Kubernetes
Work EnvironmentLeads teams, manages platform development, strategic planningImplements CI/CD pipelines, automates deployment, supports infrastructure
Industry UsageUsed in tech companies, cloud providers, large enterprisesCommon in startups, tech firms, cloud services

The Platform Engineering Manager oversees the development and maintenance of platform infrastructure, focusing on team leadership and strategic planning. In contrast, the DevOps Engineer primarily implements automation, CI/CD pipelines, and supports deployment processes. While both roles require technical expertise and familiarity with cloud and automation tools, the manager has a broader leadership role, whereas the engineer focuses on operational tasks.

Infographic showing various Platform Engineering Manager job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

AI & Data Platform Engineering Manager

Lone Tree, CO • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$189K - $260K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization. This role provides strategic technical oversight, ensures scalable development of complex ML systems, and drives alignment between engineering efforts and mission-critical program requirements.As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

  • Lead the AI/LLM Platform and MLOps engineering team delivering the enterprise AI platform.
  • Provide deep technical guidance on LLM and generative AI architectures, including the LLM gateway, model routing, and agent/workflow orchestration.
  • Oversee integration of ML models and AI capability into enterprise systems and business platforms.
  • Establish strong validation, verification, and compliance processes.
  • Manage resourcing, budgeting, schedules, and risk mitigation.
  • Mentor senior engineers and technical leads.
  • Drive AI/LLM platform capability development and own the long-term technical roadmap for the platform.

Qualifications You Must Have:

  • Bachelor's degree in computer science, mathematics, statistics, engineering, or related STEM field.
  • 6-8+ years of experience in AI/ML or software engineering, including 2+ years in a management role.
  • Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 13 years of related experience is required.
  • Higher level relevant degree may substitute for experience.
  • Demonstrated success leading engineering teams and delivering complex technical programs.
  • Expertise in generative AI/LLM techniques; familiarity with supervised and unsupervised ML for data platform use cases.
  • Experience architecting and optimizing ML pipelines and highperformance systems.
  • Strong understanding of security, compliance, and data governance requirements (CMMC, data classification)
  • Ability to drive cross-functional execution across software, data, and business platform teams.
  • AWS Machine Learning Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate, or equivalent hands-on experience with a major cloud AI/ML platform.
  • CMMC/NIST SP 800171 awareness or equivalent compliance training.

Qualifications We Prefer:

  • Degree in AI/ML, data science, engineering, or related discipline.
  • AWS Solutions Architect (Associate or Professional) or Azure Solutions Architect Expert.
  • Databricks ML Professional, Snowflake SnowPro, or comparable data engineering certifications.
  • Advanced Generative AI or MLOps certifications (DeepLearning.AI, NVIDIA DLI)
  • Experience with LLM gateways, vector databases, agent orchestration frameworks, or prompt evaluation tooling.
  • Experience building or operating an internal LLM gateway, model routing layer, or enterprise AI API platform

Essential Functions:

  • Lead multi-team engineering operations in a hybrid environment.
  • Participate in integration events, customer reviews, and working groups.
  • Travel up to 20% for program execution and external coordination.
  • Provide technical escalation support for complex ML challenges.

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range: $189,761.74 - $260,922.39. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

SNC offers annual incentive pay based upon performance that is commensurate with the level of the position.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


What Sierra Nevada Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom