Senior Software Engineer - Generalist

About Insight M
At Insight M, we combine innovative aerospace systems with advanced data science. Unlike traditional aerospace companies, we sell information, not hardware - we operate our sensors cost-effectively at continental scale to produce novel data streams about pressing global problems. First on our list: spotting hard-to-monitor emissions of methane, a potent greenhouse gas that accelerates climate change. Since starting continuous survey operations in 2018, Insight M has removed methane emissions equal to over 72.6 million tonnes of CO2e through our work. To put that in perspective, that’s equivalent to over 15.8 million cars being removed from the roads or shutting down about forty-seven 350 MW coal-fired power plants for a year. We call that a good start. As a team, we love science and engineering, we love getting our hands dirty with hardware and software, and we love seeing our work make a difference in the real world. We’ve created a diverse, collaborative, supportive, and fun environment based on integrity and treating people right. So no matter your sex, gender, sexual identity, gender identity, race, age, beliefs, sexual orientation, or disabilities, we welcome you and would like to work with you. :-) It’s never boring, it’s always challenging, and we’re usually laughing.
A note of encouragement: If you don't meet 100% of the qualifications below, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role's requirements.
Individuals with a disability are encouraged to contact [interview.accommodations@insightm.com] to request assistance with your application and accommodations in advance of your interview. 
Software Engineering at Insight M
Everything that Insight M does is driven by software, from recording sensor data while flying at 3000', to ephemeral high-scale cloud-native data processing, to computer-aided GIS analysis, to using machine-learning to extract structured information from geopixels. The software engineering team is involved in every step of our process, building the automation that allows Insight M to not only image things that humans have never seen before but to do it reliably, repeatably, inexpensively, and quickly. (Yes, you can have all four). We work primarily in Python, with a smattering of Bash, SQL, Terraform, and Typescript when it makes sense.
We work on single-board-computers, field laptops, in virtualized cloud environments, in containers, inside of web browsers, and even inside lab automation frameworks. We practice compositional engineering, tying together disparate pieces of technology to create novel artifacts that solve real-world problems. We practice continuous integration and deployment, automated testing, and have a lovely monorepo. 

Insight M is a growing company. As we grow, there will be opportunities for advancement, including into engineering management. Additionally, we’re happy to place more experienced folks at a higher level, commensurate with experience.
Salary Range
Nationwide range$120,600 - $233,000 base USD/year + bonus + equity + 401k w/match
To avoid bias and create an equitable salary structure, at Insight M, we are intentional about our pay strategy. We base compensation on current position (role and skill level) and location. Since many of our roles are remote, we create a national range for our open positions that is built to cover both low and high-cost-of-living locations. If you live in a low cost of living area, the location-specific range will fall towards the lower end of the nationwide range. If you live in a high-cost-of-living area, the location-specific range will be on the higher end of the nationwide range. 

Must Haves

• Significant Python experience.
• The ability to learn quickly in a self-guided manner - much of what we do is solving new problems by integrating one or more pieces of new technology.
• Professional experience in front-end web development along with an interest in learning React.
• An intimate understanding of at least one of our primary domains - cloud data processing, machine learning, statistical signal analysis, GIS analysis and processing, DevOps / systems engineering, scientific data visualization, software engineering, and release / build engineering.
• A desire to solve real-world problems over working on technical problems in isolation - none of our work fits in neat boxes. Instead, we have a team that is focused on the impact our work can have on the future of life on the planet and prioritizes real-world progress over problem-focus purity.
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