Alteia is a leading enterprise A.I software provider focused on streamlining the use of visual data to generate real-time business intelligence.
Developing and deploying visual intelligence at scale requires the use of complex technology stacks where algorithms and models need to be placed at the center of business operations. That’s why Alteia delivers a family of integrated products that have been purpose-built to accelerate the implementation of A.I applications, making quick work of large data sets from disparate systems:
the Alteia software platform to rapidly contextualize large amounts of disparate data and operate enterprise A.I applications quickly.
the Alteia pre-built SaaS applications, for rapidly addressing high-value use cases in various market segments.
Joining Alteia means becoming part of a dynamic Product & Tech organization of 50 engineers and 10 Product experts. We are structured into agile feature teams, placing algorithms and predictive models at the core of the value we deliver to our customers.
Alteia is now part of GE Vernova. The Alteia software is sold by this larger organization under the name "GridOS Visual Intelligence."
Lead the development of a strategic backend module dedicated to vegetation operations planning for electric grid operators, leveraging the GridOS Visual Intelligence platform.
This module sits at the core of the product value proposition, aiming to digitalize and optimize complex field operations that currently represent multi-million euro investments for utilities.
As Tech Lead, you will drive both the technical vision and execution, working within a newly structured squad to design scalable solutions for highly complex and non-standardized business processes.
You will play a key role in transforming real-world operational workflows into a robust, scalable software product, collaborating closely with Product, Data Science, and Engineering stakeholders.
Define the technical architecture of the module and drive key design decisions
Ensure code quality, scalability, and performance of the system
Lead release preparation, deployment, and production readiness
Provide operational support post-deployment
Contribute actively to backend development (hands-on role)
Participate in code reviews and enforce best practices
Solve complex and open-ended technical challenges
Work closely with the Product Owner to translate business needs into technical solutions
Model complex utility processes into scalable software systems
Contribute to building a product aligned with real customer workflows
Act as Tech Lead for a squad of 4–5 engineers
Organize and coordinate work in an agile / scrum environment
Mentor and support developers in their technical growth
Backend-focused, microservices & data platform environment:
Core: NestJS, Python
Frontend (context): Angular, TypeScript
Data & Streaming: MongoDB, Kafka, Redis
Cloud & DevOps: AWS, Kubernetes, Helm, ArgoCD
ML / Data: PyTorch
Tooling: GitLab CI, Snyk
Education: Engineering degree or equivalent (Master’s level preferred)
Experience:
~10 years of experience in software development
3–4+ years in a Tech Lead or equivalent role
Experience building complex business applications
Technical Expertise:
Strong background in distributed systems / microservices
Experience in SaaS B2B, data platforms, or AI-driven environments
Ability to work on open-ended, non-standardized technical problems
Core Capabilities:
Strong abstraction and system design skills
Ability to model complex business processes into software
Product-oriented mindset with customer understanding
️ Skills & Languages:
Fluent English (technical and professional)
Strong communication skills across Product, Data, and Engineering teams
High Impact Role: Build a core product module used by major utility players (e.g., ENEDIS, FP&L)
Complex Challenges: Work on non-standardized, real-world problems at the intersection of AI, data, and infrastructure
Ownership & Leadership: Drive both technical and team decisions in a fast-growing environment
Collaborative Environment: Work closely with Product, Data Science, and Engineering leaders
Growth Opportunities: Develop expertise in AI-driven platforms and large-scale data systems
Strategic Positioning: Be part of GE Vernova’s ecosystem and contribute to the energy transition
