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описание
Intellias is a software provider in the automotive industry. The company develops cloud-based services and data products for dealers, enterprise customers, and internal business units, supporting quoting, ordering, asset telemetry, diagnostics, and lifecycle support for heavy equipment.
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 where applicable;
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 best practices;
Collaborate effectively in a distributed team and communicate progress, risks, and dependencies;
Take ownership of 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 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;
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;
Willingness to provide off-hours or weekend production support when required;
Nice to have: Advanced SQL expertise, event and telemetry data processing 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.