Senior Software Engineer (Dev & Platform)

You will design and build the foundational devleopment & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments.

You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one.

This role is ideal for engineers who think deeply about distributed systems, platform architecture, reliability, infrastructure, and backend scalability.

In your first few months, you will:

• Own end-to-end design and delivery of platform capabilities
  

• Build and scale distributed backend services powering AI agents and customer workflows
  

• Improve authentication, authorization, and tenant isolation across the platform
  

• Design infrastructure and observability systems for reliability at scale
  

• Deploy and operate production-grade systems with strong ownership beyond launch
  

• Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards
  

What You’ll Work On

Platform & Distributed Systems

• Build high-scale, multi-tenant backend systems that securely support multiple customer environments
  

• Design and operate distributed microservices with strong reliability and fault tolerance
  

• Build asynchronous execution pipelines, event-driven architectures, and workflow orchestration systems
  

• Improve scalability, throughput, concurrency, and system performance across services
  

• Design resilient APIs, service communication patterns, and infrastructure abstractions
  

Infrastructure & Reliability Engineering

• Build and maintain cloud-native infrastructure across AWS/Azure
  

• Improve deployment systems, CI/CD pipelines, container orchestration, and runtime reliability
  

• Design platform capabilities around monitoring, observability, tracing, logging, and alerting
  

• Build systems for operational visibility, debugging, incident response, and production diagnostics
  

• Drive engineering best practices around resiliency, uptime, scalability, and operational excellence
  

Security & Access Systems

• Design and implement authentication and authorization systems across services
  

• Build secure multi-tenant access control systems, RBAC models, and policy enforcement layers
  

• Improve platform security posture through secure infrastructure and backend design principles
  

• Work closely with security engineering teams on platform hardening and safe execution models
  

AI Infrastructure Enablement

• Build backend infrastructure powering AI agent execution and orchestration
  

• Design memory retrieval, ingestion, indexing, and context-access systems for agents
  

• Support scalable evaluation pipelines, traceability, and execution monitoring for AI workflows
  

• Collaborate with AI engineering teams to improve platform performance and reliability for agent-based systems
  

You’ll Thrive Here If You

• Think deeply in systems and architecture
  

• Enjoy solving ambiguous engineering problems from first principles
  

• Care about reliability, maintainability, scalability, and elegant abstractions
  

• Like owning systems end-to-end, including production operations
  

• Enjoy building infrastructure that other engineers depend on
  

• Understand the tradeoffs involved in distributed systems and platform design
  

• Enjoy reading RFCs, architecture docs, and learning new technologies
  

Must Have

• 6+ years of strong backend or platform engineering experience
  

• Strong understanding of distributed systems fundamentals
  

• Experience designing and operating microservices at scale
  

• Experience with authentication and authorization systems (OAuth, RBAC, JWT, SSO, IAM, etc.)
  

• Strong knowledge of cloud infrastructure (AWS/GCP/Azure), containers, and CI/CD systems
  

• Experience with observability tooling, monitoring systems, logging, tracing, and production debugging
  

• Familiarity with asynchronous systems, queues, event streams, and workflow orchestration
  

• Strong coding experience in Python, Go, Java, or Node.js
  

• Ownership mindset — ability to take systems from concept → production → scale
  

Bonus / Great to Have

• Experience working on platform engineering or internal developer platforms
  

• Experience with Kubernetes, Kafka, OpenTelemetry, Prometheus, Grafana, or similar tooling
  

• Experience building multi-tenant SaaS platforms