Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us!

As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units.

What project we have for you

Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility.

You will be one of the founding engineers on Platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products.

This is a project-starter role. We are looking for someone who can define technical direction, shape architecture from scratch, align stakeholders across teams, and raise the engineering bar — not someone who joins and executes tasks. The primary language on this team is Scala or Python — strong technical leads in either are welcome.

What you'll work on:

Architecture and design of distributed data pipelines for large-scale road dataset processing
Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes
Data validation, quality gates, and traceability across the pipeline
Cross-team technical leadership, architectural decision-making, and mentoring
Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness)

Technologies:

Scala / Python (primary — one or the other)
Apache Spark
Kafka
Akka
Apache Airflow
SQL / PostgreSQL
AWS (Step Functions, ECS, Lambda, EMR)
Java
CI/CD (GitHub / GitLab)

What you will do

Responsibilities

Define system architecture and drive technical direction for backend services and data processing pipelines
Design and implement distributed processing solutions at scale — batch and near-real-time
Own delivery end-to-end: from design through testing, performance optimization, and production readiness
Define and enforce testing strategy (Unit, Integration, E2E) across the team
Set up and maintain monitoring, dashboards, and observability for production systems
Drive code quality standards via reviews, CI/CD practices, and engineering best practices
Lead estimations, planning, and iterative delivery in an Agile/Scrum process
Mentor engineers, share knowledge, and build strong engineering culture within the team

What you need for this

Required skills

10+ years building backend systems with Scala or Python as your primary language (confirmed production depth — not just listed in skills)
Distributed data processing — Apache Spark or equivalent at production scale (Flink, Akka, Kafka Streams); required regardless of primary language
Kafka — event-driven architecture, producers/consumers, production usage
AWS — practical experience with Step Functions, ECS, Lambda, or EMR
Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes)
System architecture: ability to design, evaluate, and evolve system-level architecture from scratch
Cross-team technical leadership, stakeholder alignment, mentoring culture
Strong LLD: modular architecture, clean abstractions, separation of concerns
API design: RESTful services, backward compatibility, versioning
Testing strategy: unit, integration, E2E — deliberate approach to coverage and reliability
Monitoring & observability: logging, metrics, alerting, dashboards in production systems
Solid knowledge of data structures, OOP, and design patterns
CI/CD pipelines (GitHub / GitLab) and engineering best practices
English: Upper Intermediate+ (written and spoken)

Nice to have

The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus
Java
Apache Airflow or similar pipeline orchestration
LLM/MCP tooling experience
Amazon Bedrock or other LLM platform integration
Experience with geospatial/map-related data or large-scale data quality systems

What it's like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That's why we offer a range of benefits that support your well-being and charge your professional growth.

We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.

We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Lead/Principal Scala/Python Engineer