Staff Software Backend Engineer, Factory Software Platform Full Time

Amperesand is reinventing how the world powers its most critical systems.

We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.

And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.

We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.

Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.

Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.

Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.

With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.

Join us in building the power foundation of the future!

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 & Benefits

Compensation 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
• Commuter Benefits
• 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)

Singapore-based employees receive benefits in accordance with local government provisions.

Equal Employment Opportunity

Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.