
Lead/Principal Java/Scala Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Lead/Principal Java/Scala Engineer to join our team in Pune, India, for a hybrid role, focusing on developing smart map data processing tools.
Responsibilities
As a Senior Backend Engineer in the Map Data Processing group, you will:
- 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
Requirements
- 10+ years building backend systems with Java (strong core Java)
- Python - hands-on usage in data processing, automation, ETL, scripting, or LLM/MCP tooling (Pandas, NumPy, or equivalent); hard requirement for this role
- 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)
- Strong LLD: modular architecture, clean abstractions, separation of concerns
- API design: RESTful services, backward compatibility, versioning
- System architecture: ability to design, evaluate, and evolve system-level architecture from scratch
- 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
- Cross-team technical leadership, stakeholder alignment, mentoring culture
- CI/CD pipelines (GitHub / GitLab) and engineering best practices
- English: Upper Intermediate+ (written and spoken)
Nice to Have
- Scala
- Apache Spark or equivalent distributed processing
- Apache Airflow or similar pipeline orchestration
- Amazon Bedrock or other LLM platform integration
- Experience with geospatial/map-related data or large-scale data ingestion systems
We Offer
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.
About the Company
Our client is a location data and technology platform company that empowers 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!
© Intellias. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
The company develops projects in IoT, Artificial Intelligence, Data Science, UX/UI, Big Data, Cloud, DevOps, and other technologies.
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