Full-Stack Engineer (Data & Intelligence)

orcristtechnologies; United States; Remote; USD 81,000 - 138,000; Full time

Benefits offered by this job

Remote-first across Germany

Flexible working hours

Home‑office equipment budget

30 days vacation

Personal development investment

Performance bonuses

Job summary

orcristtechnologies seeks a hands-on software engineer to build data pipelines for petabyte-scale datasets and support sub-second queries on a Kubernetes-based platform offered as a B2B SaaS or self-hosted, including air-gapped deployments.

You will prototype rapidly, build tooling for visual data analytics, and collaborate on architecture reviews, with travel every 2–4 weeks. Remote-first across Germany, flexible hours, and growth opportunities are offered.

Qualifications

• Bachelor’s degree or higher in CS, physics, math, or related field.
• Strong programming skills and ability to code independently.
• Interest in data analytics and data pipelines.
• Experience with AI-assisted development environments.

Responsibilities

• Design and refine data pipelines for large-scale data.
• Build tooling and infrastructure for visual analytics.
• Develop scrapers and data collection utilities.
• Support CV workflows from software and data perspectives.
• Lead short experiments and rapidly prototype ideas.
• Travel every 2–4 weeks for architecture reviews and team events.

Skills

Programming languages

AI-assisted development

Autonomous working

German language skills

Education

Bachelor's degree or higher in CS/related field

Tools

Agentic coding tools

Job description

Role overview

A software engineering position focused on building data-intensive capabilities for intelligence, public safety, and national security applications. The work involves designing pipelines that handle petabyte-scale datasets and supporting sub-second query performance within a Kubernetes-based platform offered as B2B SaaS or self-hosted, including air-gapped deployments. The role suits a hands‑on engineer who enjoys working with data, prototyping quickly, and solving practical problems in dynamic, mission‑driven settings.

Responsibilities

• Design and refine data pipelines and processing workflows for large‑scale visual and structured datasets
• Build tooling and infrastructure for visual data analytics and intelligence‑focused applications
• Develop scrapers and data collection utilities where required
• Support classification, detection, and other computer vision workflows from a software and data perspective
• Lead short‑lived experimental projects and rapidly prototype new ideas
• Collaborate with engineers and technical leadership, with travel every 2–4 weeks for architecture reviews and team events

Requirements

• Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field; Master's preferred
• Strong programming skills across one or more languages and the ability to code independently, including without AI assistance when required
• Demonstrated interest in data, data analytics, and data pipelines
• Experience with modern AI-assisted development environments and agentic coding tools
• Self‑directed, hands‑on working style with strong analytical abilities and a capacity to learn quickly
• Excellent German language skills and eligibility to work full‑time in Germany, including willingness to undergo required security clearance and background checks

Nice to have

• Experience with large‑scale data pipelines or data-intensive software systems
• Background in georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry
• Familiarity with computer vision or machine learning workflows
• Cloud infrastructure experience
• Experience working with sensors such as drones, antennas, or cameras
• Knowledge of Russian or Ukrainian
• Prior interest or experience in military, intelligence, defense, or public safety domains

Benefits and work setup

• Remote‑first across Germany with regular team gatherings in Berlin and other off‑site locations
• Flexible working hours by default
• Personal home‑office equipment budget
• 30 days of vacation
• Investment in personal and professional development
• Performance bonuses tied to agreed objectives and key results
• Team events including summer and Christmas parties and regular off‑site gatherings