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описание
Intellias is a software provider in the automotive industry. It develops products used by millions of people and is modernizing cloud-based services and data products for heavy equipment, supporting dealers, enterprise customers, and internal business units.
задачи
Design, develop, and maintain scalable Spring Boot-based microservices in a distributed architecture;
Build and operate event-driven data processing pipelines for streaming data ingestion, transformation, and enrichment;
Analyze, transform, validate, and optimize complex datasets;
Develop and maintain advanced SQL queries and data workflows;
Collaborate with data engineering, analytics, and business stakeholders to solve complex data challenges;
Contribute to data warehousing and analytics initiatives, including Snowflake-based solutions;
Develop and maintain robust APIs for internal and external consumers;
Design and support reliable, scalable backend systems using AWS cloud services;
Design, optimize, and maintain PostgreSQL and DynamoDB schemas;
Implement and maintain automated unit and integration testing strategies;
Contribute to and maintain GitHub Actions pipelines;
Ensure system reliability through monitoring, logging, and observability practices;
Collaborate in a distributed team and communicate progress, risks, and dependencies;
Own features end-to-end from design through deployment and production support.
требования
6+ Years of experience designing, developing, deploying, and maintaining production backend services and distributed systems using Java 21, Spring Boot 3.x, and 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 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 with 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;
Ability to independently deliver end-to-end solutions, resolve blockers, and communicate effectively in English;
Ability to provide 6 hours of overlap with US Central Time on business days, until 2 pm CT at the latest;
Willingness to provide off-hours or weekend production support when required;
Nice to have: GenAI efficiency expertise, advanced SQL for large analytical datasets, event and telemetry data at scale, AWS CloudFormation, jOOQ, Flyway, BigQuery, Databricks, Spring Cloud, geospatial data with PostGIS, large-scale data platforms, reporting systems, business analytics products, distributed data processing, data pipeline technologies.
условия
Remote work is available in Bulgaria, Colombia, Poland, Portugal, Spain, and Ukraine;
On-call support may include off-hours or weekend production support when required.