Platform Engineer

Unique System Skills LLC

United States

11 days ago

Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Acceptance Test-Driven Development Microsoft Azure Code Review Databases Continuous Integration Distributed Data Store Distributed Systems Query Optimization Software Engineering SQL Databases Data Streaming

+9 more

Datadog Data Logging Google Cloud Data Ingestion Backend Kubernetes Apache Kafka Dynatrace Docker

Requirements

6+ years of backend software engineering experience, with a strong record of shipping production services at scale.
Proven, hands-on proficiency in Go and/or Rust you write these languages regularly and can demonstrate production systems you have built with them.
Solid experience building and operating distributed data systems: event streaming (Kafka, Kinesis, or equivalent), time-series databases, and high-throughput ingestion pipelines.
Strong fundamentals in distributed systems: consistency models, failure modes, backpressure, idempotency, and exactly-once vs. at-least-once processing trade-offs.
Experience with cloud-native deployment: containerization (Docker), Kubernetes orchestration, and operating services across at least one major cloud provider (AWS, Google Cloud Platform, or Azure).
Familiarity with observability tooling structured logging, metrics (PrometheGrafana or equivalent), and distributed tracing (Open Telemetry or equivalent).
Comfortable writing SQL and working with both relational and time-series data models; experience with schema design and query optimization.
Strong engineering practices: test-driven or test-informed development, code review, CI/CD, and operational ownership including on-call.