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Remote New Grad Software Engineer Jobs in Colorado

Qode

Software Engineer

CO · On-site +1

Remote, United States Workplace Type: Remote About the Role We are seeking a mid-level Software ... Stay current on evolving AI tooling and introduce new approaches to the team. * Write tests with ...

Intuit

Staff Software Engineer

Denver, CO · Remote

$202K - $274K/yr

... and engineering teams to deliver high-quality software solutions. Responsibilities Backend ... 500 New Jersey Remote $187,500- $253,500 New York Remote $202,500- $274,000 Ohio Remote $162,000 ...

Lockheed Martin

Embedded Software Engineer Staff

Boulder, CO · On-site +1

$138K - $182K/yr

... seeking a skilled software engineer to support ongoing programs and internal research and ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

Lockheed Martin

Embedded Software Engineer Sr

Boulder, CO · On-site +1

$130K - $171K/yr

... seeking a skilled software engineer to support ongoing programs and internal research and ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

DSC Resources

Senior Java Software Engineer

Denver, CO · Remote

$130K - $152K/yr

Senior Java Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must have Java, AWS, Angular, and NoSQL experience ** We are seeking a Senior Java Software ...

Sovrn

Principal Software Engineer

Boulder, CO · On-site +1

$140K - $187K/yr

Sovrn offices are located in Boulder, CO and New York, NY. We believe collaboration and shared ... For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD ...

Everwatch

Software Engineer

Aurora, CO · On-site +1

$72.12 - $84.14/hr

As a software engineer at EverWatch, you'll use your passion to master new tools and techniques and identify needed system improvements. You'll help clients overcome their most difficult challenges ...

Cleerly

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

Cleerly has created a new standard of care for heart disease through value-based, AI-driven ... While we are mostly a remote company, travel is required for some team meetings and cross function ...

Maxar

Software Development Engineer

Westminster, CO · On-site +1

$82K - $109K/yr

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators ... The ideal candidate is eager to learn and develop technologies related to image processing, remote ...

RVO Health

Software Engineer

Denver, CO · On-site +1

$97K - $125K/yr

AT A GLANCE The Software Engineer is a crucial role within our organization working within the ... Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and ...

DSC Resources

Principal Software Engineer

Denver, CO · Remote

$150K - $210K/yr

Net Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ** Must have Java and .Net experience ** We are seeking a Principal Software Engineer with deep technical ...

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All JobsNew Grad Software Engineer JobsRemote New Grad Software Engineer JobsRemote New Grad Software Engineer Jobs in Colorado

Remote New Grad Software Engineer information

What is the difference between Remote New Grad Software Engineer vs Remote Software Developer?

AspectRemote New Grad Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, internship experience often preferredSimilar educational background, may require more professional experience
Work EnvironmentEntry-level, mentored, collaborative teams, often in tech companies or startupsCan be entry or mid-level, more autonomous, in various industries
Employer & Industry UsageCommon in tech, startups, large corporations hiring entry-level talentUsed across industries, including tech, finance, healthcare, often for experienced roles

The main difference is that a Remote New Grad Software Engineer is an entry-level role designed for recent graduates, focusing on learning and growth, while a Remote Software Developer may have more experience and responsibilities. Both roles often require similar educational backgrounds and work in similar environments, but the developer role can involve more independent work and complex projects.

What are some unique challenges new grad software engineers face when starting in a fully remote environment?

New grad software engineers working remotely often encounter challenges such as building strong relationships with teammates, navigating company culture, and getting timely feedback. Without in-person interactions, it can take extra effort to communicate effectively, ask questions, and stay connected with mentors. Proactively reaching out through messaging tools, participating in virtual meetings, and setting up regular check-ins with managers can help ease the transition and ensure continued growth and support.

What is a Remote New Grad Software Engineer?

A Remote New Grad Software Engineer is an entry-level professional who has recently graduated from college or university with a degree in computer science or a related field and works from a location outside the traditional office setting. These engineers are responsible for designing, developing, testing, and maintaining software applications while collaborating with their teams virtually. Remote positions offer flexibility and the opportunity to work with companies regardless of geographic location, but they also require strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as a Remote New Grad Software Engineer, and why are they important?

To thrive as a Remote New Grad Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development principles, usually supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative tools (e.g., Jira, Slack), and cloud platforms is typically expected. Strong self-motivation, effective communication, and the ability to learn independently are vital soft skills in a remote environment. These competencies ensure you can contribute to codebases, collaborate across distances, and adapt quickly to evolving technical challenges.
What are the most commonly searched types of New Grad Software Engineer jobs in Colorado? The most popular types of New Grad Software Engineer jobs in Colorado are:
What are popular job titles related to Remote New Grad Software Engineer jobs in Colorado? For Remote New Grad Software Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote New Grad Software Engineer jobs in Colorado look for? The top searched job categories for Remote New Grad Software Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote New Grad Software Engineer jobs? Cities in Colorado with the most Remote New Grad Software Engineer job openings:
Remote New Grad Software Engineer jobs near you

Software Engineer

Qode

CO • On-site, Remote

Full-time

Posted 5 days ago

Job description

Software Engineer - Platform Services
Location: Remote, United States
Workplace Type: Remote
About the Role
We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact. As an engineer on this team, you will be expected to deeply understand the systems you own, proactively identify and address potential issues, and deliver solutions with a high degree of care to ensure downstream product teams remain unblocked. The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale. A strong candidate will possess hands-on experience with OAuth 2.0, OIDC, SAML, and JWT, a solid understanding of authorization frameworks, and practical knowledge of integrating identity services into real-world applications. We are looking for individuals who embrace AI-assisted workflows as a core part of their development process, using AI tools as a force multiplier rather than an afterthought.
Key Responsibilities
  • Design, implement, test, and release features end-to-end with limited guidance.
  • Independently identify edge cases and potential failure modes within assigned work.
  • Write clean, maintainable code and provide constructive, specific feedback during code reviews.
  • Proactively communicate blockers or ambiguities to the team.
  • Apply practical knowledge of federated identity standards including OAuth 2.0, OIDC, SAML 2.0, and JWT.
  • Understand and reason about authorization frameworks, policy enforcement, and integration into upstream and downstream services.
  • Reason clearly about token lifecycle, session management, and the security implications of identity design choices.
  • Understand the mechanics of connecting distributed services in a multi-product platform environment.
  • Build and maintain integrations that are observable, fault-tolerant, and respectful of downstream consumers.
  • Write and work with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility.
  • Actively use AI-assisted development tools (e.g., Claude Code, Codex) to accelerate design, implementation, and validation.
  • Participate in building and improving AI-assisted workflows and evaluation harnesses.
  • Stay current on evolving AI tooling and introduce new approaches to the team.
  • Write tests with sufficient coverage to catch regressions without over-engineering.
  • Contribute to operational health by monitoring shipped features, responding to issues, and following incidents to resolution.
  • Document systems and processes to reduce reliance on tribal knowledge.
  • Build and extend platform services for federated identity, authentication, and authorization.
  • Implement integrations with the centralized identity platform, including token handling and session management.
  • Support product teams with integration processes, debugging, and navigating edge cases.
  • Develop tooling, documentation, and examples for self-service integrations.
  • Design and implement backend service integrations using Python and common patterns.
  • Build with multi-product and multi-tenant scenarios in mind.
  • Participate in API design reviews.
  • Use AI development tools as an active part of the delivery workflow.
  • Contribute to AI harness development to improve team velocity.
  • Share effective AI-assisted engineering patterns with the team.
  • Write unit, integration, and acceptance tests.
  • Instrument services for observability (logging, metrics, alerting).
  • Participate in on-call rotations and incident response.
  • Participate in design discussions and code reviews, giving and receiving feedback constructively.
  • Provide mentorship and review support to junior engineers.
  • Contribute to internal documentation, runbooks, and onboarding materials.

Required Skills & Qualifications
  • 3-5 years of professional software engineering experience, with a demonstrated ability to own and deliver features independently in a production environment.
  • Hands-on experience building backend services in .NET or Python, including RESTful API development.
  • Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications.
  • Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services.
  • Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI).
  • Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior.
  • Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries.
  • Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management.
  • Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing.
  • Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow.

Additional Information
Preferred Qualifications: Prior experience working with a commercial or open-source identity platform; experience modeling and implementing fine-grained authorization (RBAC, ABAC); familiarity with token security considerations; experience building software in a financial services or regulated technology environment; experience building internal platform capabilities; exposure to SOC 2 or similar compliance frameworks; experience contributing to AI harnesses or evaluation pipelines; comfort using AI tools for design exploration and test generation. Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience. What Success Looks Like: A successful hire will integrate quickly into the team's delivery rhythm, gain expertise in the identity and integration domain, and begin shipping production contributions within the first weeks. Within a few months, they will work largely independently on scoped features, participate meaningfully in code reviews, and demonstrate operational ownership. Impact will be measured by the quality and reliability of their contributions, their ability to reduce platform dependence on tribal knowledge, and their support for product teams integrating with the identity platform. Engineers who thrive here are passionate about their craft, eager to operate at the leading edge of AI-assisted development, and motivated by building essential infrastructure that enables other teams to deliver significant product value.

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