Jobs at SatSure

Supports the design, analysis, documentation, and testing of satellite payload structures, optical mounts, enclosures, electronic packages, and mechanical ground support equipment. Responsibilities include CAD modeling, engineering drawings, configuration documentation, structural analysis summaries, and review materials. The intern collaborates with optics, electronics, systems, and mechanical engineering teams while gaining exposure to vibration, thermal, modal, and space-qualification considerations.

Finance Manager responsible for end-to-end controllership, accounting, consolidation, reporting, treasury, taxation, compliance, audits, investor reporting, fundraising support, and finance-process automation. The role manages financial close, subsidiaries, cash flow, budgeting, MIS, statutory filings, due diligence, and finance systems while partnering with investors, auditors, banks, advisors, and cross-functional teams. The position also leads and develops the finance team in a high-growth technology startup environment.

Develop and productionize computer vision and machine learning models for large-scale geospatial and satellite imagery applications. Own projects end to end, including dataset creation, experimentation, model training, evaluation, deployment, and monitoring. Work with Python, PyTorch, distributed training infrastructure, and large data pipelines while collaborating with MLOps, platform, product, and geospatial teams.

Own the AI/ML Platform product layer, defining its vision, roadmap, requirements, metrics, governance, evaluation, deployment, monitoring, and lifecycle workflows. Partner with data scientists, ML engineers, product teams, security, legal, and governance stakeholders to deliver reusable platform capabilities, improve adoption and reliability, and balance scalability, cost, and operational trade-offs.

Develop and maintain geospatial solutions using satellite imagery, raster and vector data, weather datasets, and geospatial databases. Responsibilities include Python-based raster processing, spatial data acquisition and quality assurance, algorithm development, database management, technical support, and collaboration with cross-functional teams. The role requires expertise in open-source geospatial tools, remote sensing, Google Earth Engine, PostgreSQL, and geospatial data formats.

Lead end-to-end development of production-grade geospatial machine learning and computer vision systems, from problem framing and experimentation through deployment and monitoring. Own technical roadmaps, mentor applied scientists, collaborate with product and platform teams, and develop scalable models using Python and PyTorch. Drive innovation in transformers, generative models, temporal modeling, multimodal fusion, and self-supervised learning while connecting ML metrics to business outcomes. Support hiring, technical documentation, publications, project management, and delivery across diverse Earth Observation applications.

Open talent-network opportunity for candidates interested in space technology, AI, geospatial intelligence, satellite systems, engineering, product, strategy, or operations. Applicants should be comfortable with ambiguity, complex problem-solving, ownership, and fast-paced environments. SatSure and KaleidEO review profiles for current or upcoming opportunities and contact candidates when there is a potential match.

Support management of space-borne and satellite system projects by maintaining plans, schedules, task tracking, risk registers, dashboards, and status reports. Coordinate engineering, QA/QC, supply chain, operations, vendors, and other stakeholders. Organize technical meetings, document decisions, track action items, support external testing and facility utilization, and help ensure project delivery meets quality, scope, budget, schedule, and mission objectives.

Design, build, and operate highly scalable backend and full-stack systems supporting SatSure’s geospatial products. Responsibilities include FastAPI services, PostgreSQL/PostGIS data layers, REST and asynchronous APIs, AWS cloud infrastructure, data pipelines, performance optimization, automated testing, CI/CD, observability, and system reliability. The role also contributes to AI/LLM features, geospatial capabilities, technical planning, cross-functional collaboration, and mentoring engineers.

Lead the mechanical and thermal engineering function for precision optical satellite payloads. Manage a team of 3–5 engineers, set technical direction, review opto-mechanical designs and analyses, oversee STOP analysis, alignment budgets, MGSE, environmental testing, and qualification deliverables. Coordinate with systems, optical, AIT, electronics, satellite integration teams, and external partners across payload development programs.

Lead large-scale computer vision and machine learning initiatives for geospatial intelligence products. Own technical roadmaps, lead and mentor applied scientists, design and deploy production ML pipelines, and develop scalable models across satellite sensors, geographies, and seasons. Responsibilities include experimentation, architecture design, monitoring, A/B testing, stakeholder communication, hiring, publications, and technical innovation involving transformers, generative models, temporal modeling, self-supervised learning, and multimodal fusion.

Design, analyze, optimize, and validate precision optical systems for Earth observation satellite payloads. Responsibilities include optical requirements definition, Zemax modeling, tolerancing, stray-light mitigation, manufacturing and opto-mechanical integration support, testing, documentation, and vendor coordination. The role supports designs from concept through manufacturing, integration, and verification while balancing technical, schedule, and budget constraints.

Build and operate scalable full-stack geospatial applications using React, FastAPI, PostgreSQL, PostGIS, and AWS. Own features end to end, develop APIs and user interfaces, optimize databases and application performance, deploy infrastructure, write automated tests, maintain CI/CD and observability, participate in on-call support, and collaborate with product, data, and geospatial teams.

Manage end-to-end procurement and supply chain activities for space-grade optical payload hardware and electronic components. Responsibilities include strategic sourcing, vendor qualification, procurement of long-lead items, trade compliance, customs documentation, supplier audits, inventory and single-source risk management, and contract negotiations. The role requires collaboration with engineering, quality, and operations teams to ensure reliable, timely component availability and compliance with aerospace and space-mission standards.

Design, build, and operate highly scalable full-stack systems using React, FastAPI, PostgreSQL, PostGIS, and AWS. Responsibilities include architecture, API and frontend development, database optimization, cloud infrastructure, automated testing, CI/CD, observability, reliability, and performance tuning. The role also contributes to technical planning, cross-functional collaboration, stakeholder communication, code reviews, and mentoring engineers while supporting geospatial products serving millions of daily transactions.

Lead quality assurance and quality control for space optical and electronic payloads. Conduct hardware inspections, oversee thermal vacuum, vibration, shock, and EMI/EMC testing, enforce cleanroom and ESD protocols, maintain NCR, RCA, CAPA, traceability, and configuration records, interpret aerospace standards, and audit suppliers. The role also supports component upscreening, failure analysis, qualification processes, and compliance throughout payload development and production.

Develop and productionize large-scale computer vision and machine learning solutions for satellite and Earth-observation data. Responsibilities include data preparation, model development, validation, deployment, monitoring, optimization, metric definition, stakeholder communication, applied research, and mentoring. The role focuses on low-latency, high-throughput geospatial intelligence systems using multimodal and temporal data, while advancing state-of-the-art techniques and supporting product delivery.

Build and maintain scalable test automation frameworks using Playwright, Cucumber, Python, and Java. Automate web, mobile, API, data, and end-to-end workflows; integrate testing into CI/CD pipelines; perform functional, regression, performance, and data validation testing; investigate production issues; and drive quality strategies, metrics, release readiness, and engineering best practices across the SDLC.

Lead the end-to-end development of Earth observation imaging payloads, including payload architecture, optical and opto-mechanical design, requirements, integration, verification, testing, image quality analysis, launch preparation, and in-orbit calibration. Coordinate subcontractors, collaborate with satellite platform teams, manage performance budgets, and drive feasibility studies and future optical payload technology programs.

Design, build, and operate multi-cloud Kubernetes infrastructure supporting ML platforms, LLM inference, data pipelines, and developer tooling. Own Terraform and Helm automation, GitOps deployments, cluster operations, observability, reliability, FinOps, security governance, and internal platform standards. Partner with engineering and data science teams to scale workloads, optimize cloud costs, define SLOs, and lead incident response across AWS, GCP, and Azure.