Software Engineer
Tomorrow.io
Golden, CO · Posted October 14, 2026
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Where Golden, CO ranks
Where Golden, CO placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #19Best cities for software and engineering jobs in the Mountain West36 openings · of 22
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 475 open software engineer listings that state pay, the middle half runs $159,500 to $238,500 and the median is $197,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Tomorrow.io’s Space & Sensors team is responsible for the development of unique RF-based sensing systems, such as radar and sonar, from architecture through implementation. The team is also responsible for the development of corresponding spacecraft and constellations in support of Tomorrow.io’s Operation Tomorrow Space, which will collect data to be integrated seamlessly into our existing forecasting and modeling systems, revolutionizing global weather intelligence.
We’re looking for a Mission Operations Software Engineer to help us build a next generation commercial weather constellation for real-time, high-impact forecasting. In this role, you will develop the mission-critical software systems necessary to launch, deploy, and operate a fleet of scientific instruments in space, from Earth. Come join a group of engineers and scientists that dream on the IR spectrum, call astrodynamics “fun”, and could talk for days about why time is way harder than you think. Together, we will build the biggest weather platform in the world!
What You’ll Do:
Develop the tools mission operators and climate scientists need to achieve mission success
Support payload operators and scientists in achieving mission success
Contribute to the definition of interfaces between various components (ground system to spacecraft, spacecraft bus to payload, etc.)
Work with DevOps and IT teams on topics such as environments, deployment strategies, and security measures
**This is a hybrid role working out of our Golden, CO office 2x/week**
What you bring:
4+ years of experience building production software
B.S. in Computer Science, Aerospace Engineering, or related field
Experience developing fault-tolerant, production-quality software
Understanding of distributed systems architecture
Intermediate/Advanced knowledge of Python (2+ years)
Experience with AI-assisted development for planning, code generation and debugging
REST API design, implementation and frameworks (aiohttp, Flask, etc.)
Data modeling (Data Classes, Type Hinting)
Databases and Python interfaces, with an emphasis on MongoDB and InfluxDB
Intermediate knowledge of SQL, NoSQL, and/or time series databases
Communication protocols (namedtuple, struct, socket)
Quality assurance (pytest, mocker, PEP 8)
Web applications: Typescript, React, HTML, CSS
Platforms/Infrastructure
AWS (Elastic Container Service, Lambda, S3, SQS)
Terraform
Intermediate knowledge of Docker and Kubernetes
Bonus Skills:
Exposure to aerospace systems (i.e. satellites, airplanes, rockets)
Exposure to satellite telemetry data processing (e.g., CCSDS)
Exposure to satellite mission planning and resource deconfliction
Knowledge of security best practices – secrets management, encryption protocols, vulnerability identification and mitigation
Argo Workflows/Events
Async I/O (asyncio, aiohttp)
C/C++ experience
Some knowledge of GCP, Azure resources
Scientific computing (NumPy/SciPy, Pandas, Matplotlib)
Deeper InfluxDB experience and knowledge: schemas, database management, etc.
Data visualization
Visualization platforms (Grafana, DataDog, Plotly Dash)
Graphics and plotting libraries (Plotly, SVG, Canvas, WebGL, D3.js, Three.js)
So if while watching a rocket launch broadcast, you try to catch a glimpse at what all those people on-console are looking at. When you hear “The space telescope is fully deployed”, you ask yourself “How did they do that from Earth?”. How many people did it take to get to the moon? It had to have been more than the three astronauts in the command module. If these are thoughts you find yourself having, then this is the team for you!
If you have reached this point and you are super excited but not sure you check all the boxes - we still want to speak with you! Your passion is priceless. Other things can be learned.
This position requires access to technology that is controlled under U.S. export control laws and regulations. Accordingly, this position is restricted to U.S. citizens, permanent residents and protected individuals unless and until any required licenses are obtained.
Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.
At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated salary range for this role is $120k-$135k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.
Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io
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About tomorrow.io:
Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.
Ethos: Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.
How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.