Role Summary This role is an opportunity to work with a high-agency startup team operating in the hard-tech and energy systems space. You will play a critical role in designing, building, and scaling the backend systems that power Amperesand's factory software and interacting with ERP, analytics, and operational software platforms.
This is a hands-on role. You will architect and deliver production-grade backend services that support high-concurrency, high-availability workloads across manufacturing, supply chain, and enterprise operations. The role requires close collaboration with frontend, product, AI, and domain expert teams - along with a strong sense of ownership, systems thinking, and pragmatism in building reliable software for real-world operations.
Responsibilities- Own the design, architecture, and implementation of backend systems for Amperesand's factory software and interactions with ERP, analytics, and operational platforms.
- Build and scale high-concurrency, high-availability services in Go to support mission-critical manufacturing and business workflows.
- Design robust APIs, service interfaces, and data models that enable frontend applications, analytics systems, and internal tools.
- Develop backend capabilities for workflow orchestration, machine and system integrations, telemetry ingestion, operational event processing, and reporting.
- Build distributed systems that are reliable, observable, and resilient under production load.
- Optimize backend performance across service latency, throughput, data access patterns, and system resource utilization.
- Collaborate closely with frontend, product, and domain teams to translate operational requirements into scalable backend architectures.
- Drive best practices for service reliability, fault tolerance, testing, deployment, and maintainability.
- Contribute to technical strategy and architecture decisions across backend, infrastructure, and platform layers.
- Mentor other engineers through code reviews, design reviews, and strong engineering standards.
- Leverage AI-assisted development tools where useful to improve engineering velocity, code quality, and developer productivity.
- Document service designs, architecture decisions, and tradeoffs for cross-functional stakeholders.
Qualifications- 7+ years of experience in backend or distributed systems engineering, including production deployments in scalable environments.
- Strong experience with Go and building production backend services.
- Proven experience designing systems for high concurrency, high availability, and fault tolerance.
- Experience building backend platforms for operational systems such as MES, ERP, analytics, workflow engines, or other enterprise/business-critical software.
- Strong understanding of API design, microservices, distributed system patterns, and asynchronous/event-driven architectures.
- Experience with databases and data systems such as PostgreSQL, Redis, MQTT, NATS, ClickHouse, or similar technologies.
- Familiarity with real-time data processing, telemetry pipelines, and backend systems that support dashboards, reporting, and analytics.
- Experience with observability and production operations, including logging, metrics, tracing, alerting, and incident debugging.
- Familiarity with cloud infrastructure and containerized deployment environments such as AWS, Kubernetes, and Docker.
- Strong testing discipline across unit, integration, and end-to-end service validation.
- Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.
- Proficiency in English and ability to communicate effectively with wider teams.
- Ability to travel up to 20%, including international
- Ability to walk or tour through the factory to test the software
Bonus Qualifications- Background in energy engineering systems (power systems, energy storage, power electronics, or controls).
- Experience in manufacturing, industrial automation, supply chain, energy systems, or other operational technology domains
- Experience designing systems that integrate with machines, PLCs, IoT devices, or external enterprise platforms.
- Experience with MES, digital twins, or asset health monitoring.
- Open-source contributions to backend projects.
- Experience working within or building design systems.
- Experience building backend platforms that support AI-enabled workflows, data capture, or operational intelligence systems.
- Familiarity with CI/CD workflows and software DevOps practices.
- Experience working with hardware, firmware, or operations teams.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
Pay Disclosure & BenefitsCompensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
- Competitive Salary + Incentive Stock Options
- Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- 401k retirement savings plan through Empower
- Employees receive paid time off (PTO), paid sick days, and paid company holidays
- 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.
