Semi-Senior / Senior Software Engineer

Image Processing and Analytics Semi-Senior / Senior Software Engineer (f/m/d) About Satellogic Satellogic is a vertically integrated Earth Observation company that designs, manufactures, and operates satellite systems, delivering decision-grade insights at scale to government and commercial customers. We build space systems end-to-end, from satellite design and manufacturing to launch and on-orbit operations, giving us the ability to deploy quickly, operate reliably, and support persistent monitoring across regions and priority areas. Our approach moves customers beyond one-off imagery toward continuous awareness and alert-driven decision-making, with flexible pathways that can evolve from managed monitoring to full satellite ownership and sovereign control. Our technology supports a wide range of use cases across climate monitoring, agriculture, energy, infrastructure, defense and intelligence, helping organizations detect change, manage risk, and plan with confidence. With a team distributed across five countries, Satellogic brings together expertise in satellite engineering, software development, data science, manufacturing, operations, and go-to-market. We’re a group of purpose-driven builders who value ownership, curiosity, and execution—and who work with humility, honesty, and empathy. About the team The Image Processing and Analytics team in our Research & Development group is in charge of the design, development, implementation and maintenance of the software that runs on the ground segment to convert satellite raw imagery into data that fulfills our users needs (see details ). You will be joining a team of 5 highly specialized scientists & engineers. While we are experts in image analysis and algorithm development, we are looking for you to bring the software engineering rigor to help us speed up our development process. We are a collaborative group that values curiosity, pragmatism, and a "low-ego" approach to problem-solving. While embedded within the Image Processing & Analytics team, you will work in close collaboration with our Software Engineering discipline - a cross-functional group of Senior Engineers who define our global "golden standards" and architectural best practices. The team is always learning and trying to push the limits, relying in part on the large diversity of people’s profiles and backgrounds. About the position You will be responsible for architecting and managing our cloud-native and on prem development pipelines , building upon our established foundation to enhance software robustness and accelerate the delivery of new features. In this role, you will be the architectural lead for our specific domain, building upon our successful foundation to enhance system performance and accelerate the delivery of new features. You will help us streamline our software lifecycle and collaborate with the team to integrate professional engineering standards. This position is ideal for an architectural-minded builder who enjoys optimizing sophisticated systems and thrives in a high-growth environment. You will also develop tools and components as part of the image processing & analytics development team. By joining at this intersection of science and core engineering, you will find a wealth of opportunities for professional development and a clear path for career progression within the broader organization. Location This role operates on a hybrid model and is based in Buenos Aires . Responsibilities Lead SDLC Strategy & Implementation: Act as the primary architect of the team’s development lifecycle. Your main responsibility is to design, deploy, and govern a comprehensive SDLC that balances rapid iteration with high-quality engineering standards according to the SW engineering Teams. Streamline Delivery Velocity: Drive the reduction of Lead Time for Changes by identifying and removing friction points within the development pipeline, ensuring a smooth transition from initial commit to production. Engineer Reliability & Automation: Establish the technical infrastructure of the SDLC, including robust CI/CD pipelines and automated testing frameworks that guarantee our pipelines are reproducible and "production-ready" by default. Scale AI-First Workflows: Pioneer the integration of AI-powered development tools (e.g., GitHub Copilot, Cursor) into the daily workflow to automate the more "manual" parts of the SDLC, such as documentation and initial code reviews. Define Platform Architecture: Set the long-term technical vision for the team’s software platform, ensuring the underlying architecture remains sustainable, performant, and aligned with the established development lifecycle. Technical Mentorship: Cultivate a culture of engineering excellence by coaching peers on software best practices, ensuring the team is technically equipped to operate within the new SDLC framework. Core Platform Development: Act as a hands-on contributor by designing and developing the components of our platform. You will work side-by-side with the team to build robust tools and reusable libraries that simplify complex scientific workflows and set the standard for our architectural vision. About you Experience 3+ years of experience architecting and integrating end-to-end, scalable software solutions. 3+ years of professional experience developing production-grade software in Python. Proven expertise across the full software development life cycle, including system design, coding, testing, documentation, and debugging. Technical skills Languages: Expertise in Python . Software Architecture: Deep understanding of Design Patterns , architectural abstractions, and designing scalable systems (including RESTful APIs ). Data & Workflow Orchestration: Experience building high-throughput data pipelines, ideally using tools like Airflow or Argo , with proficiency in RDBMS/NoSQL data modeling and optimization. DevOps & Infrastructure: Experience with CI/CD pipelines and Version Control (e.g., Git/GitLab ), utilizing containerization tools like Docker for reliable deployments. Testing & Quality Assurance: Experience implementing automated testing strategies ( unit, integration, E2E ) to ensure system maintainability. AI-Native Workflow: Heavy user of AI-assisted coding tools to multiply team productivity and efficiency. Interpersonal skills Excellent communication skills with ability to coach and empower peers. You should enjoy sharing knowledge and helping others adopt sustainable software engineering practices. Mid/Advanced English . A strong capacity for continuous learning and a passion for innovation. Valued skills While not mandatory, experience in the following areas will help you stand out and accelerate your impact within the team: Experience with agile methodologies like Scrum . Hands-on experience architecting and managing scalable, high-availability solutions within AWS (e.g., EC2, S3, Lambda, CloudWatch). Monitoring & Observability: Experience with logging and monitoring systems (e.g. ELK stack, Elasticsearch, Logstash, Kibana) for system observability, performance analysis. Experience working with georeferenced data, including raster formats (e.g., GeoTIFF, COG) and vector data, as well as a solid understanding of coordinate reference systems. Experience with systems for storing, indexing, and accessing geospatial data, such as STAC (SpatioTemporal Asset Catalog) APIs. Experience with computer vision and machine learning like (opencv, pytorch, etc) Diversity Commitment Satellogic values diversity and inclusion and is an equal opportunity employer. We are convinced that hiring and developing top talent from around the world for any given discipline will drive innovation, generate new solutions, and deliver a superior product to our global customer base. We work to build an equitable and inclusive environment in which all people, regardless of gender, race, religion, or background, can come together to do their best work. Please feel free to specify your pronouns following your name on the application. Learn more about Satellogic To learn more about us please visit satellogic.com and follow us on twitter ( @Satellogic ) and LinkedIn Applicant Data Privacy Statement As part of your application you will be required to confirm Satellogic's Applicant Data Privacy Policy which is available for your review here . By applying to this position you express, affirmative consent to our collection of your name, address, email address, phone number and relevant application information and the processing of that information. It is important to understand that Satellogic will store your data for the purpose of processing your application for the position, and possibly other compatible positions. You also understand that you have rights to access your Personal Data, as well as rights to request their rectification, completion, update or erasure. You may exercise your rights by sending an email to [email protected]. Consenting to our Applicant Data Privacy Policy is required in order for Satellogic to process your employment application.