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We are seeking an experienced Backend Engineer to join the team responsible for ETL re-platforming and implementing multi-tenant, event-driven architecture. The ideal candidate has deep hands-on experience with microservices, data processing, distributed data flows, and Kubernetes-based deployments in cloud environments.
This role involves designing and developing backend services, ETL/ELT pipelines, integrating real-time messaging, ensuring high observability standards, and collaborating with platform, data, and DevOps teams.
Technical Requirements
This role involves designing and developing backend services, ETL/ELT pipelines, integrating real-time messaging, ensuring high observability standards, and collaborating with platform, data, and DevOps teams.
Technical Requirements
- 10+ years of backend software development experience.
- 5+ years of professional experience with Go (Golang).
- Practical experience designing or maintaining microservices.
- Experience with event-driven messaging systems such as Apache Pulsar (preferred), Kafka, or NATS.
- Experience with ETL/ELT pipelines and data processing.
- Experience with at least one Data Lake Stack.
- Proficiency with SQL, proven experience with SQL, and No-SQL databases.
- Hands-on knowledge of Kubernetes, including deployments, scaling, and configuration.
- Practical experience with Kubernetes operators, CRDs, and Helm.
- Understanding cloud CI/CD systems and delivery pipelines (GitHub Actions).
- Experience with C/C++ (networking, concurrency, high-performance systems).
- Experience with Apache Iceberg, Apache Polaris, and the Trino stack.
- Experience designing and building multi-tenant data architectures.
- Experience implementing observability stacks (Prometheus, Grafana, Open Telemetry).
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Design, implement, and maintain Go microservices powering the system core.
- Participate in the system to re-design, ETL for re-platforming, and integration with existing services.
- Working with Apache Pulsar to support real-time data distribution.
- Working with Apache Polaris catalogues and Trino queries.
- Ensure observability and reliability through logging, metrics, and tracing.
- Deploy and maintain services in Kubernetes environments across cloud platforms.
- Contribute to the Data Engineering, Platform, and DevOps areas.
- Participate in technical discussions, code reviews, and performance optimizations.
Key Skills
Ranked by relevance
apache
kubernetes
cloud
microservices
sql
devops
prometheus
grafana
golang
kafka
cicd
aws
gcp
etl
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- Posted
- May 02, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Kharkiv
- Company
- Jabil
Industries
Appliances
Electrical
Electronics Manufacturing
Categories
Engineering
Information Technology
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