Ownership
Rigor
Delivery
Depth
Career
Career
High-agency teams working on consequential systems.
Career growth at DataSpike Group is tied to responsibility, technical depth, and delivery quality.
Teams work across R&D, production systems, regulated markets, and infrastructure-grade environments.
We hire engineers and researchers who can ship complex systems with discipline, judgment, and long-term accountability.
Current opportunities across Labs, platform engineering, security, infrastructure, compliance, research, and product.
Labs
Senior Machine Learning Engineer
Production ML systems, model lifecycle, evaluation frameworks, and delivery into high-stakes environments.
Labs
Computer Vision Engineer
Vision pipelines, sensor data processing, detection models, and applied perception systems.
Platform
Senior Full-Stack Engineer
End-to-end product systems across APIs, web surfaces, data flows, and internal tooling.
Cybersecurity
Detection Engineer
Security telemetry, detection content, attack-path analysis, and operational response tooling.
Infrastructure
Site Reliability Engineer
Observability, reliability patterns, incident response, and platform resilience at scale.
Compliance
Security Compliance Analyst
Control mapping, audit readiness, evidence pipelines, and governance reporting.
Energy
Data Platform Engineer
Operational telemetry pipelines, industrial integrations, and analytics-ready infrastructure.
Labs
Embedded Systems Engineer
Controller logic, device integrations, and low-level systems for industrial use-cases.
Product
Technical Product Manager
Translate strategic direction into engineering roadmaps, execution decisions, and measurable outcomes.
Research
Applied Research Scientist
Turn early-stage technical investigation into deployable frameworks, prototypes, and transfer plans.
Selection is built to evaluate capability, judgment, ownership, and fit for working inside complex operating systems.
Screening
Initial review of technical background, ownership level, and fit with the relevant direction.
Technical Assessment
Role-specific evaluation focused on problem solving, architecture, or implementation quality.
Team Interview
Working-style review with engineering or product leads who will evaluate collaboration depth.
Final Decision
Decision based on capability, judgment, and long-term value creation potential.
The strongest technical teams are built around ownership, rigor, and consequence.