Senior Java Software Engineer

Intellias; Portugal; Presencial; EUR 80 000 - 120 000; Tempo integral

Resumo da oferta

Intellias alongside a Fortune 100 Midwest-based industrial manufacturer is modernizing cloud services and data products used globally by dealers and customers.

You will design and build scalable Spring Boot microservices, implement event-driven pipelines, and utilize AWS, Snowflake, PostgreSQL, and DynamoDB to deliver end-to-end data solutions in a fast-paced Agile environment.

Qualificações

• 6+ years designing, developing, and maintaining backend services in production.
• Expert in Java 21, Spring Boot 3.x, and Docker.
• Minimum 2 years AWS core services and Snowflake experience.
• Advanced SQL for large datasets and analytics workloads.
• Experience with event-driven architectures (Kafka/Kinesis) and microservices.
• Proficient with JPA/Hibernate and PostgreSQL/DynamoDB; strong tests with JUnit & Cucumber.

Responsabilidades

• Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture.
• Build and operate event-driven data processing pipelines for streaming data.
• Work with complex datasets focusing on data analysis, transformation, and optimization.
• Develop and maintain advanced SQL queries and data workflows to support business needs.
• Collaborate with data engineering, analytics, and business stakeholders to solve data challenges.
• Maintain robust APIs for internal and external consumers; work with AWS cloud services.

Conhecimentos

Java

Spring Boot

Docker

AWS

Snowflake

SQL

PostgreSQL

DynamoDB

JUnit

Cucumber

GitHub Actions

Kafka/Kinesis

JPA/Hibernate

CI/CD

English Communication

Ferramentas

Kafka

AWS Kinesis

jOOQ

Flyway

PostGIS

BigQuery

Databricks

Descrição da oferta de emprego

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, and Docker.
• Minimum of 2 years of hands-on experience with AWS core services and cloud-native application development.
• Minimum of 2 years of Snowflake experience, including complex query development, performance optimization, data modeling, and analytics workloads (or any alternative tool, such as BigQuery, Databricks, etc)
• Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex datasets.
• Strong experience working with data-intensive applications and analytical data models, including data analysis, transformation, aggregation, optimization, and validation.
• 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 (until 2:00 PM CT latest).

Nice to Have:

• 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