Distributed Systems Engineer, Analytical Database Platform

careersday; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity plan

Comprehensive health benefits

Job summary

careersday is seeking an experienced backend data systems engineer to design, build, and operate distributed systems for high-volume data workloads. You will work primarily in Go, with opportunities to leverage Rust or C++ experience and to contribute across storage, processing, and delivery layers.

Responsibilities include improving data integrity, latency, and query performance, ensuring resilience through backpressure, retries, and replication, and participating in on-call rotations.

Qualifications

• Minimum 3 years in backend, infrastructure, or distributed-data systems.
• Strong Go skills or proven Rust/C++ experience and ability to learn Go quickly.
• Experience operating production services: deployment, monitoring, incident response.
• Solid understanding of distributed systems: concurrency, fault tolerance, data integrity.
• Experience with high-throughput or low-latency data processing and observability (Prometheus/Grafana).
• Depth in either database systems and query performance, or data delivery via streams/APIs.

Responsibilities

• Design, build, and operate distributed systems for high-volume data workloads using Go.
• Improve data integrity, latency, query performance, availability, and efficiency.
• Make services resilient with backpressure, retries, idempotency, replication, and graceful degradation.
• Set service objectives, monitor production health, plan capacity, respond to incidents, and investigate bottlenecks.
• Operate analytical database clusters or build streaming pipelines, APIs, log delivery, and near real-time alerting.
• Collaborate with product and engineering teams on data needs and evaluate technologies.

Skills

Go

Rust/C++

Production deployments

Distributed systems concepts

Prometheus/Grafana

High throughput / low latency

Tools

Kubernetes

Linux

Infrastructure-as-code

Kafka

Flink

GraphQL

Job description

Build and operate backend systems that ingest, process, store, and deliver large volumes of data for analytics and customer-facing products. You’ll focus either on an analytical database platform or on data delivery and retrieval, working across the data lifecycle to improve performance, reliability, and access to information.

Responsibilities

• Design, build, and operate distributed systems for high-volume data workloads, primarily using Go.
• Improve data integrity, latency, query performance, availability, and operational efficiency.
• Make services resilient with approaches such as backpressure, retries, idempotency, replication, and graceful degradation.
• Set service objectives, monitor production health, plan capacity, respond to incidents, and investigate bottlenecks.
• Depending on focus, operate analytical database clusters or build streaming pipelines, APIs, log delivery, and near real-time alerting systems.
• Collaborate with product and engineering teams on data needs, evaluate technologies, and take part in an on-call rotation.

Requirements

• At least three years of professional experience with backend, infrastructure, database, or distributed-data systems.
• Strong Go skills, or substantial Rust or C++ systems experience and the ability to become productive in Go.
• Experience operating production services, including deployment, monitoring, capacity planning, incident response, and debugging.
• Solid understanding of distributed-systems concepts such as concurrency, consistency, fault tolerance, partitioning, and data integrity.
• Experience with high-throughput or low-latency data processing and observability tools such as Prometheus and Grafana.
• Depth in either database systems and query performance, or data delivery through streams, pipelines, APIs, and integrations.

Nice to have

• Experience with ClickHouse or another large analytical database; Kafka, Flink, or similar streaming tools; or GraphQL and high-volume APIs.
• Familiarity with infrastructure-as-code tools, containers, Kubernetes, or Linux.
• Contributions to open-source database or distributed-systems projects.

Benefits and work setup

• Listed work locations include several US cities, Lisbon, and London.
• The role is eligible for an equity plan. US benefits include health, dental and vision coverage, spending accounts, family-forming support, mental health resources, travel medical coverage, disability and life insurance, retirement savings, employee stock participation, flexible paid time off, and leave programs. Benefits may vary by country.