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# Staff, Backend Engineer

- **Company:** Sequen AI Inc.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Cloud Computing, Data Visualization, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Service-Oriented Architecture, Software Engineering, Systems Architecture, Systems Integration, Web Application Frameworks, ReactJS, Backend, Kubernetes, Information Technology, Machine Learning Operations, Api Design, Restful APIs, Terraform, Golang, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-backend-engineer--bbe5af71-20c6-4bbd-821b-0f9cd28cba5f

## About the Role

Distributed Computing, Systems Engineering, Performance Modeling, Use Cases, System Architecture, Product Engineering, Architectural Services, Open Source, Prototyping, Scientific Research, * Proven track record: Bring 8+ years of practical experience as a backend or platform engineer building highly performant, scalable distributed systems.

 * Go language mastery: Possess an expert-level command of Go (Golang) as your primary programming language for building highly concurrent systems.
 * Service-oriented expertise: Demonstrate strong systems-level skills and extensive experience designing and operating complex service-oriented architectures.
 * Startup DNA: Thrive in early-stage, fast-moving, or rapidly evolving environments, with a proven history of building and scaling systems from 0 to 1.
 * Extreme ownership: Take absolute accountability for your work, navigating ambiguity with agility and proactively resolving obstacles to deliver results.
 * System-wide comfort: Operate comfortably across any layer of the stack, diving into cloud infrastructure, core microservices, or developer tooling to deliver complete, effective solutions.
 * Passion for AI systems: Enjoy working alongside a fast-paced, elite team tackling cutting-edge challenges at the intersection of systems engineering and AI ranking.
 * Product-focused mindset: Approach platform engineering with a product-focused lens, caring deeply about building systems that are robust, highly scalable, and easy to use.
 * Academic foundations: Hold a Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.

Strong Candidates May Also Bring

 * Polyglot capabilities: Bring a firm grasp of Python for machine learning pipelines and scripting integrations.
 * Infrastructure fluency: Know your way around container orchestration (kubectl, Kubernetes) and Infrastructure-as-Code (terraform).
 * ML alignment: Have worked directly with NLP and ML models, understanding their deployment patterns, performance capabilities, and operational limits.
 * Modern API design: Possess deep experience designing and implementing highly performant, secure RESTful and gRPC APIs.
 * Full-stack exposure: Bring lightweight experience with React and modern frontend frameworks to help build internal diagnostics and visualization tools.

## Description

* Build the platform: Build and scale robust, concurrent core platform components designed to handle Sequen's rapid growth and high transactional throughput.
 * Architect composable systems: Design and architect composable platform components that deliver exceptional value across a wide variety of enterprise use cases.
 * Collaborate across teams: Partner closely with product and ML engineering teams to deeply understand their requirements and build platform capabilities that accelerate feature delivery.
 * Drive architectural decisions: Make critical build-versus-buy decisions, evaluating and implementing third-party or open-source solutions when they yield the highest strategic impact.
 * Set technical vision: Define the long-term technical direction, standards, and vision for various product and platform features.
 * Partner with research: Collaborate closely with our ML research scientists to quickly prototype and launch new capabilities based on research breakthroughs.