Note: The job is a remote job and is open to candidates in USA. Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with the infrastructure to run them in production. They are seeking a Staff Backend Engineer to build and scale robust platform components, architect composable systems, and collaborate closely with product and ML engineering teams.
Responsibilities
- 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
Skills
- Bring 8+ years of practical experience as a backend or platform engineer building highly performant, scalable distributed systems
- Possess an expert-level command of Go (Golang) as your primary programming language for building highly concurrent systems
- Demonstrate strong systems-level skills and extensive experience designing and operating complex service-oriented architectures
- Thrive in early-stage, fast-moving, or rapidly evolving environments, with a proven history of building and scaling systems from 0 to 1
- Take absolute accountability for your work, navigating ambiguity with agility and proactively resolving obstacles to deliver results
- Operate comfortably across any layer of the stack, diving into cloud infrastructure, core microservices, or developer tooling to deliver complete, effective solutions
- Enjoy working alongside a fast-paced, elite team tackling cutting-edge challenges at the intersection of systems engineering and AI ranking
- Approach platform engineering with a product-focused lens, caring deeply about building systems that are robust, highly scalable, and easy to use
- Hold a Bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience
- Bring a firm grasp of Python for machine learning pipelines and scripting integrations
- Know your way around container orchestration (`kubectl`, Kubernetes) and Infrastructure-as-Code (`terraform`)
- Have worked directly with NLP and ML models, understanding their deployment patterns, performance capabilities, and operational limits
- Possess deep experience designing and implementing highly performant, secure RESTful and gRPC APIs
- Bring lightweight experience with React and modern frontend frameworks to help build internal diagnostics and visualization tools
Benefits
- Full health insurance coverage
- Unlimited paid time off
- A highly collaborative, world-class engineering culture
- Meaningful early-stage equity
Company Overview
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