platform architect for geospatial AI

Akveo is an IT company specializing in web, mobile, low-code, and AI solutions for clients in the USA and Europe. It develops software products that help businesses automate processes and implement innovations, and is expanding its AI-driven solutions. The company has about 100 professionals, development centers in Poland and Lithuania, and representatives in the US. The client is a European technology company building an AI platform that analyzes geospatial data from satellite imagery, sensors, and other sources to support decision-making, including maritime monitoring and critical infrastructure protection.

• Take over the system architecture, repositories, AWS infrastructure, databases, and deployment from the outgoing tech lead
• Own and evolve the platform architecture without unnecessary redesign
• Integrate AI detection models into the production data-processing pipeline
• Complete ingestion and processing of optical, SAR, and other data sources
• Design PostgreSQL/PostGIS schemas for imagery, detections, and analytics
• Develop multi-source data fusion, anomaly detection, risk scoring, and alerting capabilities
• Own AWS deployment, containerization, orchestration, logging, and monitoring
• Build secure backend services and APIs with authentication and RBAC
• Connect the WebGIS dashboard to the backend and build end-to-end workflows from data to user interface
• Own testing, validation, and technical reporting
• Maintain documentation, version control, and architecture decision records
• Coordinate additional backend, frontend, and DevOps specialists as needed

• Proven track record of delivering geospatial platforms, including WebGIS and spatial data platforms, to production
• 7+ Years in software development, including several years as a tech lead, architect, or CTO at a product or technology company
• Hands-on approach, with the ability to write code and work with infrastructure
• Strong AWS experience in architecture, deployment, and cloud operations
• Python experience for backend services and integrating AI/ML inference into production
• PostgreSQL/PostGIS and geospatial data modeling experience
• Experience with REST APIs, GeoJSON, and machine-to-machine interfaces
• Experience with production data ingestion and processing pipelines
• Experience with Docker, CI/CD, and reproducible environments
• Experience with logging, monitoring, and observability
• Experience with authentication, RBAC, and security-conscious development
• Experience with Git, configuration, and release management
• English at B2 level or higher
• Understand production ML well enough to define, integrate, and validate model interfaces; training detection models is not required
• Будет плюсом: Earth Observation and satellite data experience, especially optical and SAR pipelines; monitoring, situational awareness, or critical infrastructure protection projects; sensor/data fusion, object tracking, and temporal geospatial analytics; decision-support systems; participation in ESA/EU or national space agency programs; understanding of TRL and verification & validation processes; Swedish language skills or experience working with Swedish partners

• 20 Working days of vacation
• 5 Sick days
• Flexible work schedule
• Compensation for training and certification
• Performance review meetings every 6 months and regular 1:1s
• Quick hiring process: 1 screening call + 2 interviews
• Loyal clients who trust the team’s technical expertise and provide freedom for professional self-expression