Senior Backend Engineer (Go/Python)

BearPlex; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote work

Learning budget

Path toward technical leadership

Job summary

BearPlex is seeking a senior backend engineer to build and operate distributed services in Go and Python for AI-intensive workloads. You will design APIs with clear contracts, implement observability, and tune data stores for predictable latency in a fully remote US setting.

Responsibilities include optimizing Go/Python backends, deploying with Docker and Kubernetes on a major cloud, and mentoring peers to raise system reliability and performance standards.

Qualifications

• Senior backend experience delivering and operating production systems at scale.
• Strong Go and Python development, plus API design with clear contracts.
• Experience with distributed data stores and cloud deployments.

Responsibilities

• Design and build distributed backend services in Go and Python for high-throughput workloads.
• Create versioned APIs with observability for dependent teams and clients.
• Tune PostgreSQL, MongoDB, and Redis for throughput and latency.
• Build resilience with retries, backpressure, idempotency, and graceful degradation.
• Profile, optimize performance, and meet inference and data-latency needs.
• Package and deploy via Docker/Kubernetes on a major cloud; mentor peers.

Skills

Go

Python

Distributed systems

API design

PostgreSQL

MongoDB

Redis

Docker

Kubernetes

AWS

GCP

Azure

Job description

Role overview

Build and operate senior-level backend services for high-throughput, AI-intensive workloads. The role centers on distributed systems and dependable APIs, with responsibility spanning data performance, resilience, cloud deployment, production observability, and technical guidance for peers.

Responsibilities

• Design and deliver distributed backend services in Go and Python for concurrent workloads.
• Create versioned APIs with clear contracts and observability for dependent teams and client systems.
• Model and tune PostgreSQL, MongoDB, and Redis for throughput, consistency, and predictable latency.
• Build resilience through retries, backpressure, idempotency, and graceful degradation.
• Profile services, remove performance bottlenecks, and support demanding inference and data pipeline latency needs.
• Package and deploy services with Docker and Kubernetes on a major cloud; instrument systems for auditability, review code, shape architecture, and mentor colleagues.

Requirements

• Senior experience delivering and operating production backend systems at scale, with strong Go and Python skills.
• Deep knowledge of distributed systems, including concurrency, queues, caching, and consistency tradeoffs.
• Strong API design skills and experience operating services other teams depend on.
• Database expertise with PostgreSQL and at least one of MongoDB or Redis, including performance tuning.
• Hands-on Docker, Kubernetes, and at least one of AWS, GCP, or Azure.
• Reliability-focused engineering judgment, strong written communication, and the autonomy to own systems remotely.

Nice to have

• Production experience serving AI or machine learning workloads, including inference APIs or RAG systems.
• Rust for performance-sensitive components, event-driven or streaming architecture experience, or work in regulated and audit-heavy environments.

Benefits and work setup

• Fully remote work, with a learning budget and a stated path toward technical leadership.