Descripción de la oferta
Descripción del trabajo
Senior Java EngineerLocation: Remote from Spain (an indefinite Spanish employment contract)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:
Mandatory6+ years of experience designing, developing, deploying, and maintaining backend services and distributed systems in production using Java 21, Spring Boot 3.X, Docker
Minimum of 2 years of hands-on experience with AWS core services and cloud-native application development
Experience parsing and ingesting various file types (large media files, etc.)
Strong experience designing and operating event-driven distributed systems using technologies such as Kafka, AWS Kinesis, or equivalent messaging 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)
Nice to Have
Advanced SQL expertise, including designing, writing, optimizing, and troubleshooting complex analytical queries against large and complex processing, enriching, or analyzing event and telemetry with AWS with jOOQ and Flyway.
Experience with BigQuery or 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
Why this position:
At Intellias, where technology takes center stage, people always come before processes. xkdbapo We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.
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