Senior Backend Engineer (Java) Engineer in Remote (Ukraine)

Binariks is looking for a highly motivated and proactive Java Engineer to join the team on the healthcare industry project from the USA. Medical coding platform, helping 200+ hospitals and 50K providers cut costs utilizing AI. 

What We’re Looking For

• 5+ years designing, building, and operating distributed multi-region highly-available backend systems in production.




• Deep knowledge of system design: CAP trade‑offs, consistency models, partitioning/sharding strategies, failure modes, and graceful degradation.




• Proven expertise with Java/Spring Boot, Kafka, and AWS.




• Hands‑on Kubernetes experience: containerization, manifests, health checks, rolling deployments, autoscaling.




• Solid CI/CD and observability mindset, comfortable wiring up pipelines, metrics, traces, and alerts that keep mean‑time‑to‑detect low.




• General knowledge of Python and Javascript.




• Security‑first habits: least privilege, encryption in transit and at rest, secure coding and dependency hygiene.




• Ability to thrive with vague requirements, self‑define milestones, and iterate quickly while keeping long‑term architecture in view.




• Excellent written and verbal communication, capable of presenting technical options and trade‑offs to senior leaders.

Will be a plus

• Terraform and other infrastructure proficiency.




• Experience with event‑sourced systems, CQRS, and stream processing frameworks (e.g., Flink, ksqlDB, Spark).




• Exposure to healthcare or other highly regulated domains.




• Familiarity with polyglot persistence and multimodel databases

Your responsibilities

• Designing and coding: taking high‑level architecture from enterprise architects and turning it into production‑ready services and libraries.




• Designing distributed systems that are resilient, observable, and secure, then document those designs so others can reuse them.




• Building microservices (REST & gRPC/Protobuf) in Java/SpringBoot using well-designed schemas shared across services and Kafka topics.




• Engineer event‑driven data flows leveraging AWS MSK (Kafka), SQS, and streaming best practices.




• Utilizing own storage choices: from Postgres/RDS/Aurora to Cassandra/NoSQL, balancing consistency, scale, and cost.




• Harden deployments for Kubernetes and craft CI/CD pipelines and dashboards that showcase operational excellence (metrics, tracing, alerting, security scans).




• Collaborating and evangelizing: present designs and findings to senior engineers, architects, and leadership, write concise architectural documents and how-to guides.