Platform Architect / Technical Lead

About the company

Akveo is an IT company specializing in web, mobile, low-code, and AI solutions for clients in the USA and Europe. We develop high-quality software products that help businesses automate processes and implement innovations. We are actively expanding into AI-driven solutions, using artificial intelligence to enhance our products and services.

Akveo is a team of about 100 professionals, with development centers in Poland and Lithuania and representatives in the US.

About the project

Our client is a European technology company building an AI platform for geospatial data analysis. The platform brings together satellite imagery and data from a range of sensors, processes it with AI models, and turns it into clear, actionable insights that support decision-making.

The system works with optical and radar (SAR) satellite imagery, data from unmanned vehicles, ground-based sensors and cameras, as well as other open and ancillary data sources. Key application areas include maritime monitoring and critical infrastructure protection.

Tech stack: AWS · Python · REST API · GeoJSON · PostgreSQL/PostGIS · WebGIS · Docker · container orchestration · CI/CD · Git · logging & monitoring · authentication/RBAC

About the role

We are looking for a technical leader who will take full ownership of the architecture and the integrated platform.

This is not a strategy-only CTO role. You will work hands-on with the architecture, repositories, AWS, databases, APIs, and deployment, make technical decisions, and write critical code yourself when needed. The goal is to complete the existing system and take it to production, not to rebuild it from scratch.

You will work in a small team alongside the client’s CEO and AI/ML engineer, and coordinate additional backend, frontend, and DevOps specialists as needed.

Responsibilities

Architecture

Take over the system from the outgoing tech lead: architecture, repositories, AWS infrastructure, databases, and deployment
Own the platform architecture and evolve it without unnecessary redesign

Data & AI

Integrate AI detection models into the production data processing pipeline
Complete the ingestion and processing of optical, SAR, and other data sources
Design PostgreSQL/PostGIS data schemas for imagery, detections, and analytics
Develop analytics capabilities: multi-source data fusion, anomaly detection, risk scoring, and alerting

Backend & Infrastructure

Own AWS operations: 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

Quality & Processes

Own testing, validation, and technical reporting
Maintain documentation, version control, and architecture decision records

Requirements

Proven track record of delivering geospatial platforms (WebGIS, 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 mindset: you still write code and work with infrastructure yourself
Strong AWS experience: architecture, deployment, cloud operations
Python for backend services; experience integrating AI/ML inference into production
PostgreSQL/PostGIS and geospatial data modeling
REST APIs, GeoJSON, machine-to-machine interfaces
Production data ingestion and processing pipelines
Docker, CI/CD, reproducible environments
Logging, monitoring, and observability
Authentication, RBAC, and security-conscious development
Git, configuration, and release management
English at B2 level or higher

Training detection models is not required, but you should understand production ML well enough to define, integrate, and validate model interfaces.

Nice to have

Experience with Earth Observation and satellite data, especially optical and SAR pipelines
Experience with monitoring, situational awareness, or critical infrastructure protection projects
Sensor/data fusion, object tracking, temporal geospatial analytics
Experience building 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

What we offer

⚡ Quick hiring process: 1 screening call + 2 interviews
🌴 20 working days of vacation
💊 5 sick days
🏔️ Flexible work schedule and the option to work from any convenient location
💙 Loyal clients who trust our technical expertise and give us freedom for professional self-expression
📚 Compensation for training and certification
🐣 Performance review system with meetings every 6 months, plus regular 1:1s