Computer Programmer

Remote

May 21, 2025

Full Time

Application ends: August 21, 2025

Job Description

About the Role

We’re looking for a computer programmer who thrives at the intersection of performance tuning, low-level data handling, and backend automation. This role focuses on identifying inefficiencies in existing data flows, writing clean and traceable code to manage asynchronous operations at scale, and reducing latency across internal APIs and scheduled jobs.

You’ll work closely with our systems engineers and data scientists to ensure our data backend (which moves millions of rows per day) is fast, deterministic, and fails safely. This is not a web dev or app dev role—this is systems-level programming with an emphasis on measurable backend improvement.

What You’ll Be Doing

Refactor and optimize Python and Go code handling large-scale data ingestion and transformation jobs
Profile and debug long-running asynchronous tasks across distributed environments
Build and maintain a library of reusable functions for ETL job management and automated schema validation
Replace brittle shell-script pipelines with version-controlled, testable modules in our internal job runner
Contribute to a shared metrics dashboard (Grafana + Prometheus) by surfacing job latency and failure rates
Write unit and integration tests that target edge-case scenarios like out-of-order records, race conditions, and queue starvation
Review legacy code (some of it Perl, some of it unkind) and rewrite with clarity and sustainability in mind

Required Skills

Strong proficiency in Python and either Go, Rust, or C++ for backend tasks
Experience working with distributed job schedulers (e.g., Airflow, Nomad, or Prefect)
Proven ability to optimize task concurrency, memory usage, and CPU-bound routines
Deep understanding of error handling, transactional integrity, and retry logic in data workflows
Familiarity with protocol buffers or other serialization formats used in message passing
Comfort working in Linux environments with command-line tools for tracing and profiling (strace, perf, etc.)
Strong Git discipline and clear, annotation-rich commit history

Bonus Points For

Prior work modernizing legacy codebases with minimal service interruption
Familiarity with Kafka, RabbitMQ, or other distributed messaging systems
Knowledge of data validation frameworks and schema evolution tracking
Experience developing internal tools or CLI-based utilities used by other developers

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!