Senior Scala Engineer

Intellias; Pune District; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Intellias seeks a senior backend engineer in Pune to design and implement scalable data-driven services. You will lead architecture discussions and own end-to-end delivery from development to production readiness, with emphasis on performance, testing, and code quality.

You will collaborate in an Agile environment, contribute to observability, and mentor junior engineers while leveraging Scala, Spark, Kafka, and AWS in production-grade systems.

Qualifications

• 5+ years building backend systems with Scala as primary language.
• Strong experience in distributed data processing with Spark.
• Kafka-based event-driven architectures in production.
• Hands-on AWS (EMR, Step Functions, ECS or Lambda) experience.
• Strong SQL and data modeling, PostgreSQL preferred.
• Solid knowledge of data structures, OOP and design patterns.
• Experience with concurrency and multithreading.
• LLD with modular architecture and clean abstractions.
• API design with RESTful services and backward compatibility.
• Testing: unit, integration, E2E coverage.
• Monitoring, logging, metrics, alerting in production.
• CI/CD (GitHub/GitLab) and best practices.
• English: Upper Intermediate+

Responsibilities

• Design and implement scalable backend services and data processing pipelines.
• Contribute to architecture and design discussions with reasoned technical input.
• Own delivery end-to-end: development, testing, performance optimization, and production support readiness.
• Implement and maintain testing practices (Unit, Integration, E2E) for owned components.
• Contribute to monitoring, alerting, and observability of production systems.
• Improve code quality via reviews, automated testing, and engineering best practices.
• Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process.
• Share knowledge and support junior team members' growth.

Skills

Scala

OO design

Concurrency

Testing

English communication

Tools

Apache Spark

Kafka

AWS

PostgreSQL

REST API design

GitHub/GitLab CI/CD

Airflow

Job description

Required Skills

• 5+ years building backend systems with Scala as your primary language (strong core competency in one not a shallow familiarity in both)
• Distributed data processing — Apache Spark or equivalent (production usage required, regardless of whether your primary language is Scala or Python)
• Kafka — event-driven architecture, producers/consumers, production usage
• AWS — practical experience with EMR, Step Functions, ECS, or Lambda
• Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes)
• Solid knowledge of data structures, OOP, and design patterns
• Good understanding of concurrency and multithreading concepts
• LLD: modular architecture, clean abstractions, component design
• API design awareness: RESTful services, backward compatibility
• Testing strategy: unit, integration, E2E — deliberate approach to coverage
• Monitoring & observability: logging, metrics, alerting, dashboards in production systems
• 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
• Experience with geospatial/map-related data or large-scale data quality systems

Responsibilities

• Design and implement scalable backend services and data processing pipelines
• Contribute to architecture and design discussions with reasoned technical input
• Own delivery end-to-end: development, testing, performance optimization, and production support readiness
• Implement and maintain testing practices (Unit, Integration, E2E) for owned components
• Contribute to monitoring, alerting, and observability of production systems
• Improve code quality via reviews, automated testing, and engineering best practices
• Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process
• Share knowledge and support junior team members' growth