Senior Software Engineer; Platform Continuity

Senior Software Engineer (Platform Continuity)

Reports to:

Co-Founder / CPO
Day-to-day Partner:
Lead Architect
Department:
Product & Engineering

Location:

Remote (US)
Company Stage:
Venture-backed AI company (Seed to Series A)
Salary: $180-200k, + equity

Location:

Remote

Role Overview
Iridius provides the execution layer for compliant AI in regulated industries, turning regulatory standards into executable logic so evidence is generated continuously as systems run. We are seeking a Senior Software Engineer to join the platform team and partner closely with the Lead Architect. This is a hands-on build role with a structured shadowing and learning ramp. In the first months, you will work side-by-side with the Lead Architect across the platform, vendor pods, and AI initiatives, absorbing context and contributing production code from day one.

Over time, you will take on increasing independent ownership and provide bench coverage during the Lead Architect's planned short absences, with full handoff support. This role is a strong fit for an experienced engineer who wants to grow inside an AI startup: learning cloud-native platform delivery, agentic AI patterns, regulated-industry compliance, and multi-vendor delivery models, while contributing meaningfully from week one.

Scope of the Role & Core Responsibilities

• Platform Engineering:
Build and maintain core platform services alongside the Lead Architect.

• AI-Augmented Engineering:
Use AI tools across the SDLC and learn emerging agentic patterns.

• Vendor Pod

Collaboration:

Work as a peer reviewer and contributor with distributed contractor pods, under the Lead Architect's governance.

• Shadowing, Coverage, and Growth:
Shadow the Lead Architect, build full-stack platform context, and provide coverage during planned short absences.

• Core Responsibilities Platform Engineering

• Build and evolve core Iridius platform services using Python, Kubernetes, and event driven cloud-native architectures on Azure.

• Implement production-grade backend services that meet standards for reliability, security, scalability, observability, and maintainability.

• Contribute to features supporting traceability, validation, auditability, and evidence generation for regulated customers.

• Follow architectural direction set by the Lead Architect, raising questions and proposing improvements as understanding grows. AI-Augmented Engineering

• Work within an AI-augmented engineering workflow using tools such as Claude Code, Git Hub Copilot, Cursor, or similar systems for development, testing, debugging, refactoring, documentation, and review.

• Apply engineering judgment to validate AI-generated outputs for correctness, security, maintainability, and architectural fit.

• Learn and apply emerging AI engineering patterns including multi-agent systems, retrieval-augmented systems, vector databases, and knowledge graphs.

• Contribute to evaluation, monitoring, and guardrail practices for AI-enabled features. Vendor Pod Collaboration

• Collaborate with distributed contractor pods on shared deliverables as a peer engineer.

• Provide code review and quality feedback within assigned scope.

• Surface delivery risks, quality gaps, or technical ambiguity early to the Lead Architect.

• Vendor governance, contractual oversight, and final acceptance remain with the Lead Architect. Shadowing, Coverage, and Growth

• Shadow the Lead Architect across services, vendor interactions, and architectural decisions to build full platform context.

• Provide partial coverage during the Lead Architect's planned short absences, with documented handoff and clear escalation paths.

• Maintain continuity on critical-path items and unblock vendor pods on routine technical questions.

• Grow into expanded…