Job description

About Alterion Alterion is building the control plane for the agentic enterprise - enabling organizations to safely deploy, monitor, and scale autonomous AI agents with full visibility and governance. Our platform unifies semantic observability, dynamic policy enforcement, and distributed monitoring to ensure agent ecosystems remain trustworthy, compliant, and efficient at scale. Role Overview We are seeking a Senior Software Engineer to design, build, and own core backend and distributed systems that power Alterion’s platform. This is a hands-on role for a senior systems engineer who enjoys building durable infrastructure, making principled design tradeoffs, and mentoring other engineers. You will work closely with the founders on system architecture and technical direction, while remaining directly accountable for production code. This is not a people-management role; technical ownership and execution are core expectations. What You’ll Work On - Design and implement backend and distributed systems supporting identity, policy enforcement, observability, and agent lifecycle management - Build secure, scalable APIs and services that operate reliably in multi-tenant, cloud-native environments - Make and document system design tradeoffs across consistency, performance, availability, and operational complexity - Own backend services end to end, from initial design through production deployment, monitoring, and iteration - Establish backend engineering standards for correctness, testing, observability, and long-term maintainability - Lead design reviews and mentor engineers through code reviews and technical guidance - Collaborate closely with security, AI, and product partners to translate platform requirements into robust system designs Required Qualifications - 5–8 years of experience building and operating backend or distributed systems in production environments - Strong proficiency in one or more backend languages such as Rust, TypeScript, Python, or Go - Experience designing and operating cloud-native services on AWS, GCP, or Azure - Solid understanding of distributed systems fundamentals, including scalability, fault tolerance, data consistency, and observability - Experience designing APIs and service boundaries for complex or evolving systems - Demonstrated ownership of critical systems with responsibility for reliability, performance, and long-term health - Experience mentoring other engineers or serving as a technical lead on backend or platform projects - Comfort operating in ambiguous, early-stage environments and helping shape system direction Preferred Qualifications - Experience with event-driven architectures, message queues, or streaming systems - Familiarity with identity, authentication, authorization, or policy-based systems - Exposure to security-sensitive, compliance-oriented, or multi-tenant platforms - Experience operating systems at meaningful scale (high request volume, large datasets, or multi-region deployments) - Strong production observability practices across metrics, logs, and traces - Prior experience at an early-stage startup or on foundational infrastructure teams - Exposure to AI-adjacent systems or data pipelines (nice to have, not required) Why Alterion - Build foundational infrastructure for the next generation of AI systems - Work directly with the founders on architecture and long-term technical direction - Own meaningful, high-impact systems from day one - Join a small, senior team that values depth, judgment, and quality - Competitive compensation, meaningful equity, and the opportunity to shape a new category

Requirements

Must-haves

What You’ll Work On
Design and implement backend and distributed systems supporting identity, policy enforcement, observability, and agent lifecycle management
Build secure, scalable APIs and services that operate reliably in multi-tenant, cloud-native environments
Make and document system design tradeoffs across consistency, performance, availability, and operational complexity
Own backend services end to end, from initial design through production deployment, monitoring, and iteration
Establish backend engineering standards for correctness, testing, observability, and long-term maintainability
Lead design reviews and mentor engineers through code reviews and technical guidance
Collaborate closely with security, AI, and product partners to translate platform requirements into robust system designs
5–8 years of experience building and operating backend or distributed systems in production environments
Strong proficiency in one or more backend languages such as Rust, TypeScript, Python, or Go
Experience designing and operating cloud-native services on AWS, GCP, or Azure
Solid understanding of distributed systems fundamentals, including scalability, fault tolerance, data consistency, and observability

Nice-to-haves

Experience with event-driven architectures, message queues, or streaming systems
Familiarity with identity, authentication, authorization, or policy-based systems
Exposure to security-sensitive, compliance-oriented, or multi-tenant platforms
Experience operating systems at meaningful scale (high request volume, large datasets, or multi-region deployments)
Strong production observability practices across metrics, logs, and traces
Prior experience at an early-stage startup or on foundational infrastructure teams
Exposure to AI-adjacent systems or data pipelines (nice to have, not required)
Why Alterion
Build foundational infrastructure for the next generation of AI systems
Work directly with the founders on architecture and long-term technical direction
Own meaningful, high-impact systems from day one
Join a small, senior team that values depth, judgment, and quality

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airusttypescriptpythongoawsgcpazure

Platform: ashby
Effort: quick