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Contract Backend Python Developer Jobs in Colorado

Backend Engineer

Colorado Springs, CO · On-site

$138K - $167K/yr

As a Backend Engineer you will lead the development of core platform services, designing and ... You have extensive experience with Python, FastAPI, postgres, AWS, Docker, Kubernetes, Terraform

Backend Engineer - Oort

Golden, CO · On-site

$140K - $190K/yr

Demonstrated proficiency in Python for backend engineering. * Practical experience using Docker for containerization and deployment in scalable environments. * Experience in backend architecture ...

Backend Engineer - Oort

Golden, CO · On-site

$140K - $190K/yr

Demonstrated proficiency in Python for backend engineering. * Practical experience using Docker for containerization and deployment in scalable environments. * Experience in backend architecture ...

Backend Engineer - Oort

Golden, CO · On-site

$140K - $190K/yr

Demonstrated proficiency in Python for backend engineering. * Practical experience using Docker for containerization and deployment in scalable environments. * Experience in backend architecture ...

Work closely with cross-functional teams, including product managers, DevOps, and front-end ... Strong understanding of microservice and API contracts * Fluency with observability and on-call ...

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... in back-end (Python, Java, C#, Go) and/or front-end (React, Angular, Vue.js, HTML5/CSS3 ...

Showing results 41-60

Contract Backend Python Developer information

What is a contract backend Python developer?

A Contract Backend Python Developer is a software engineer who specializes in building and maintaining the server-side logic of web applications using the Python programming language, typically on a temporary or project-based contract. They focus on developing APIs, databases, and other backend components that support the frontend of web or mobile applications. Unlike full-time employees, contract developers are usually hired for specific projects or timeframes, offering flexibility to both the developer and the employer.

What are the key skills and qualifications needed to thrive as a contract backend Python developer, and why are they important?

To thrive as a Contract Backend Python Developer, you need strong proficiency in Python, experience designing and building APIs, and a solid understanding of databases and server-side architecture. Familiarity with frameworks like Django or Flask, version control systems like Git, and experience working with cloud platforms (such as AWS or Azure) are typically required. Excellent problem-solving skills, effective communication, and the ability to work independently are essential soft skills. These competencies ensure you can deliver robust, scalable backend solutions efficiently and collaborate seamlessly with cross-functional teams in a contract-based, deadline-driven environment.

What are some common challenges contract backend Python developers face when joining new projects?

Contract backend Python developers often encounter challenges such as quickly ramping up on unfamiliar codebases, adapting to varying development workflows, and integrating with existing teams remotely. Since contract roles are typically project-based and time-limited, developers must efficiently understand project requirements and existing infrastructure to contribute effectively from day one. Clear communication and proactive collaboration with team members, especially regarding code standards and deployment practices, are key to overcoming these challenges and ensuring smooth project delivery.

What is the difference between Contract Backend Python Developer vs Contract Software Engineer?

AspectContract Backend Python DeveloperContract Software Engineer
Required credentialsProficiency in Python, frameworks like Django or Flask, API developmentVaries; often includes Python, Java, C++, or other languages, with general software development skills
Work environmentTypically in tech companies, startups, or agencies focusing on backend systemsBroader environments including frontend, backend, or full-stack roles across industries
Employer and industry usageUsed in tech, e-commerce, finance, and SaaS companies for backend servicesCommon across all industries requiring software solutions, including enterprise and consulting firms

Contract Backend Python Developers specialize in Python-based backend systems, focusing on API and server-side development. Contract Software Engineers have a broader scope, working with multiple programming languages and software components. While both roles require strong coding skills, Contract Backend Python Developers are more specialized in Python frameworks and backend architecture, making them ideal for projects centered on Python-based backend solutions.

What are popular job titles related to Contract Backend Python Developer jobs in Colorado?

For Contract Backend Python Developer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Contract Backend Python Developer jobs in Colorado look for?

The top searched job categories for Contract Backend Python Developer jobs in Colorado are:

What cities in Colorado are hiring for Contract Backend Python Developer jobs?

Cities in Colorado with the most Contract Backend Python Developer job openings:

Infographic showing various Contract Backend Python Developer job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Backend Engineer - Mission Operations Services

Loft Orbital Solutions

Golden, CO

$140K - $190K/yr

Full-time

Re-posted 24 days ago


Job description

Loft Orbital is looking for a Backend Engineer to join our Mission Operations Services (MOS) team. MOS owns the backend services that let Loft operators and customers command, monitor, and automate our satellite fleet through Cockpit, our mission control system. You’ll help build and scale the microservices that sit between ground and flight software, turning high-level intent into safe, reliable on-orbit operations.
 
You’ll work across multiple satellite platforms and collaborate closely with backend, flight software, embedded systems, test, and satellite operations teams. This is a hands-on engineering role where you’ll both build new systems and help debug live missions. We also offer SatDevOps training, so you don’t just write the tools - you actually use them to operate spacecraft.
 
If you’re excited about building backend systems that directly control satellites - and you like the idea of both shipping code and helping fly missions - we’d love to hear from you.
About this Role
  • Design and build backend tools for operations: services that power passes, autopilots, activities, and day‑to‑day satellite operations.
  • Handle commands and telemetry across multiple satellite buses and ground segment providers, with a strong focus on safety, robustness, and observability.
  • Write production backend code in Python, owning services end‑to‑end from design and implementation through deployment and maintenance.
  • Collaborate with flight software, embedded software, integration and test, and space infrastructure teams to integrate new satellite buses and capabilities into Cockpit.
  • Support internal users of Cockpit (operators, test engineers, solutions engineers) by improving APIs, workflows, and debugging tools.
  • Have the opportunity to take part in spacecraft operations through SatDevOps rotations, occasionally helping investigate anomalies and supporting real‑time incident response when needed.
Must Haves:
  • 4+ years of relevant backend software engineering experience in production environments
  • Solid Python development experience in a production environment.
  • Experience with Docker and container‑based development.
  • Hands‑on experience with backend web development frameworks (e.g., Django, Flask, FastAPI, etc.).
  • Proven API design skills (designing, documenting, and maintaining HTTP/GraphQL/REST‑style APIs).
Nice to Haves:
  • Experience with Django and/or GraphQL.
  • Strong database fundamentals and practical experience (e.g., Postgres, time‑series DBs).
  • Exposure to Kubernetes in production.
  • Familiarity with InfluxDB / TimescaleDB or other time‑series systems.
  • Background in mission‑critical, distributed, or real‑time systems (space or otherwise).
State law requires us to share the posted base compensation range for this role. Final compensation will be determined based on your education, experience, knowledge, skills, and abilities. The salary range is intentionally broad to account for differences in experience and scope, as well as geographic market variations in pay. We evaluate each candidate individually to ensure alignment between their background, the role’s responsibilities, and local market benchmarks. Most importantly, we are excited to meet you, and see if you are a great fit for our team. What we can’t quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy.
Who We Are: Founded in 2017, Loft provides governments, companies, and research institutions with a fast, reliable, and simple way to deploy missions in orbit.
 
We integrate, launch, and operate spacecraft, offering end-to-end missions as a service across Earth observation, IoT connectivity, on-orbit AI, national security missions, and more. Leveraging our existing space infrastructure and an extensive inventory of satellite buses, Loft is reducing years-long integration and launch timelines to months. With more than 30 missions flown, Loft’s flight heritage and proven technologies enable customers to focus on their mission objectives.
 
With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA \u007C Golden, CO \u007C and Toulouse, France to meet accelerating demand for space infrastructure.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.