We are looking for exceptional Senior Software Engineers who enjoy solving hard distributed systems problems and designing software architectures that remain elegant as complexity grows.

This role is not about assembling applications from AI-generated snippets or relying on "vibe coding." We use AI extensively to accelerate engineering, but we expect engineers to deeply understand the systems they build.

You should be comfortable reasoning about concurrency, distributed systems, performance bottlenecks, failure modes, data consistency, infrastructure tradeoffs, and long-term architectural evolution.

The engineers who thrive at Enerzyz are builders who can move from first principles to production systems.

Job Context:

Design and implement highly scalable backend services powering AI-driven products.
Architect distributed systems capable of handling large-scale real-time data processing.
Build resilient event-driven systems with strong observability and fault tolerance.
Design APIs, data models, and platform abstractions that enable rapid product development.
Analyze and optimize system performance, latency, throughput, and resource utilization.
Lead architectural decisions and establish engineering standards across the organization.
Drive technical design reviews and mentor other engineers.
Collaborate closely with AI, product, and infrastructure teams to deliver production-grade systems.
Identify and mitigate concurrency, synchronization, and distributed systems challenges before they become operational risks.
Contribute to long-term platform strategy and technical roadmap.

Required:

5+ years of professional software engineering experience.
Strong computer science fundamentals, including algorithms, data structures, networking, operating systems, and database internals.
Deep understanding of concurrency, parallelism, synchronization primitives, and multithreaded application design.
Experience designing and operating distributed systems in production.
Strong knowledge of system architecture patterns, tradeoffs, and scalability principles.
Experience with cloud-native infrastructure and modern deployment practices.
Ability to reason about reliability, consistency, resilience, and fault tolerance.
Proven track record of shipping complex systems from design through production.

Preferred:

Experience building AI infrastructure, agent systems, ML platforms, or data-intensive applications.
Knowledge of event streaming technologies and real-time processing architectures.
Experience with Kubernetes, container orchestration, and platform engineering.
Familiarity with high-performance systems and performance optimization techniques.
Background in energy, industrial systems, IoT, or operational technology environments.

We value engineers who:

Understand why a system works, not just that it works.
Can explain tradeoffs between competing architectural approaches.
Think about failure modes before they occur.
Care deeply about maintainability, correctness, and operational excellence.
Use AI as a force multiplier rather than a substitute for engineering judgment.
Enjoy tackling technically difficult problems with long-term impact.

Why Join Enerzyz:

Opportunity to help build a category-defining AI company from the ground up.
Solve meaningful challenges at the intersection of AI, infrastructure, and energy.
Significant ownership and influence over technical direction.
Work alongside ambitious builders focused on creating durable technological advantage.
Competitive compensation, equity, and growth opportunities.
If you're excited about building systems that operate at the frontier of AI and critical infrastructure and you care as much about architecture, concurrency, and engineering rigor as product velocity—we'd love to talk.

About Enerzyz

Enerzyz is building the intelligence layer for the next generation of energy asset infrastructure.

We believe AI will fundamentally reshape how critical systems are designed, operated, optimized, and scaled. Our mission is to build software that transforms complex operational data into autonomous decision-making systems capable of managing real-world energy networks at unprecedented scale.

We're building robust systems that must be reliable, observable, fault-tolerant, and capable of operating under real-world constraints.

As an early engineering hire, you'll help define the technical foundations of a company aiming to become a category-defining AI unicorn.