Backend Software Engineer (Distributed Systems – Go / Rust / Java)

UMATR; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

UMATR is seeking a Backend Software Engineer to tackle distributed systems challenges and build infrastructure that matters beyond the screen. You will own architecture through deployment, handling ingestion, processing and storage of high-volume data for reliable production performance.

You’ll work with Kubernetes, Docker, Terraform on AWS/GCP/Azure, focusing on scalable time-series and event data, latency reduction and system reliability at scale.

Qualifications

• 3+ years of experience building and maintaining backend or distributed systems in production.
• Strong programming experience in Go, Rust or Java.
• Experience building high-volume, scalable and reliable systems.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization.
• Familiar with Kubernetes, Docker and Terraform; ownership mindset.

Responsibilities

• Build distributed backend systems ingesting, processing and storing large volumes of real-time telemetry and sensor data.
• Design scalable data infrastructure for time-series and event-driven datasets.
• Solve performance challenges, improving throughput, latency, fault tolerance and reliability.
• Optimise production systems as the platform scales.
• Work with Kubernetes, Docker, Terraform and cloud platforms.
• Collaborate with engineers across product and infrastructure to solve complex challenges.
• Influence technical direction and engineering best practices.

Skills

Go

Rust

Java

Distributed systems

Ownership mindset

Tools

Kubernetes

Docker

Terraform

AWS

GCP

Azure

Job description

What if the backend systems you built helped power spacecraft, autonomous vehicles and some of the world's most advanced engineering projects? We're partnering with a fast-growing technology company building the infrastructure behind next-generation hardware systems.

Their platform helps engineering teams process enormous volumes of real-world data, analyse performance and make critical decisions faster, across industries where reliability and precision really matter.

About the Role

They're now looking for a Backend Software Engineer who enjoys solving complex distributed systems problems and wants to build infrastructure that makes a genuine difference beyond the screen. This isn't about building another API or maintaining existing services. You'll work on the systems responsible for ingesting, processing and storing high-volume data, making it accessible at scale and ensuring everything performs reliably in production. And you'll have real ownership over what you build, from architecture through to deployment and performance optimisation.

Responsibilities

• Build distributed backend systems that ingest, process and store large volumes of real-time telemetry and sensor data.
• Design scalable data infrastructure, including storage, indexing and querying systems for time-series and event-driven datasets.
• Solve complex performance challenges, improving throughput, latency, fault tolerance and system reliability.
• Optimise production systems, identifying bottlenecks and improving performance as the platform scales.
• Work with modern infrastructure, including Kubernetes, Docker, Terraform and cloud platforms.
• Collaborate with experienced engineers across product and infrastructure to solve complex technical challenges.
• Influence technical direction, contributing to architecture decisions and engineering best practices.

Required Skills

• 3+ years of experience building and maintaining backend or distributed systems in production.
• Strong programming experience in Go, Rust or Java.
• Experience building systems where performance, scalability and reliability matter.
• Experience working with cloud infrastructure such as AWS, GCP or Azure.
• Familiarity with containerisation and infrastructure tools such as Kubernetes, Docker or Terraform.
• Strong understanding of distributed systems concepts, including concurrency, fault tolerance, consistency and performance optimisation.
• Someone who enjoys taking ownership, solving difficult engineering problems and seeing their work through to production.

Preferred Skills

• Time-series databases, columnar storage or analytics engines such as ClickHouse, TimescaleDB, Druid or InfluxDB.
• Streaming and data processing technologies such as Kafka, Flink, Spark or Apache Arrow.
• Working with high-volume telemetry, event-driven systems or complex data pipelines.