Senior Java Software Engineer

Intellias

Poland

On-site

PLN 260,000 - 360,000

Full time

2 days ago
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Job summary

Intellias is partnering with a Fortune 100 Midwest-based industrial manufacturer to modernize a suite of cloud-based services and data products that power global dealers and enterprise customers. You will design, develop, and maintain scalable Spring Boot microservices in a distributed architecture, while building event-driven pipelines and working with large-scale datasets.

Responsibilities span from API development to data warehousing collaborations and AWS cloud deployments, with a focus on

Qualifications

  • 6+ years designing and maintaining backend services in production (Java 21, Spring Boot 3.x, Docker).
  • 3+ years AWS core services and cloud-native development.
  • Experience with event-driven distributed systems (Kafka or AWS Kinesis).
  • Strong microservices, MVC, and event-driven architectures knowledge.
  • Experience with JPA / Hibernate and relational databases (PostgreSQL).
  • Solid test automation with JUnit and Cucumber; CI/CD with GitHub Actions.

Responsibilities

  • Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture.
  • Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data.
  • Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization.
  • Develop and maintain advanced SQL queries and data workflows to support business and platform requirements.
  • Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges.
  • Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable.

Skills

Backend ownership
English communication
Agile environment

Tools

Java 21
Spring Boot 3.x
Docker
Kafka
AWS Kinesis
GitHub Actions
CI/CD
PostgreSQL
DynamoDB
JPA / Hibernate

Job description

Intellias is partnering with a Fortune 100, Midwest-based industrial manufacturer to modernize and expand a suite of cloud-based services and data products used by a global network of dealers, enterprise customers, and internal business units. Our cross-functional teams deliver scalable APIs, event-driven services, and analytics pipelines that power quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment in the field

Requirements
Mandatory
  • 6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.x, Docker
  • 3+ years of hands-on experience with AWS core services and cloud-native application development.
  • Strong experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging platforms.
  • Strong experience with microservices, MVC, and event-driven architectures
  • Strong experience with JPA / Hibernate
  • Strong database design skills with PostgreSQL (advanced SQL) and DynamoDB, including schema design, optimization, and performance tuning
  • Solid test automation experience using JUnit and Cucumber
  • Hands-on experience with GitHub Actions and/or similar CI/CD tools
  • Strong ownership and self-management in a fast-paced Agile environment, with the ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English

Ability to provide 6 hours overlap with US Central Time (CT) on business days (till 2 pm CT latest) - 1 pm - 8/9 pm CET

On-call support: Willingness to provide off-hours or weekend production support when required

Nice to Have
  • Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets.
  • Experience processing, enriching, or analyzing event and telemetry data at scale.
  • Experience with AWS CloudFormation.
  • Experience with jOOQ and Flyway.
  • Experience with BigQuery or Databricks.
  • Experience with Spring Cloud.
  • Experience working with geospatial data (PostGIS).
  • Experience supporting large-scale data platforms, reporting systems, or business analytics products.
  • Experience working with distributed data processing or data pipeline technologies.
Responsibilities
  • Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture
  • Build and operate event-driven data processing pipelines, including ingestion, transformation, and enrichment of streaming data
  • Work extensively with complex datasets, focusing on data analysis, transformation, validation, and optimization
  • Develop and maintain advanced SQL queries and data workflows to support business and platform requirements
  • Collaborate closely with data engineering, analytics, and business stakeholders to understand and solve complex data challenges
  • Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions where applicable
  • Develop and maintain robust APIs for internal and external consumers
  • Work with AWS cloud services to design and support reliable, scalable backend systems
  • Design, optimize, and maintain PostgreSQL and DynamoDB schemas, ensuring performance and data integrity
  • Implement and maintain automated testing strategies (unit and integration)
  • Contribute to and maintain GitHub Actions pipelines
  • Ensure system reliability through monitoring, logging, and observability best practices
  • Collaborate effectively in a distributed team, communicating progress, risks, and dependencies
  • Take ownership of features end-to-end, from design through deployment and production support
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