Staff Software Engineer, Platform

The Role

As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk.

Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.

Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path.

You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.

About Valence

We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.

Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation.

What You'll Do

• Build the paved roads.
• Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.
• Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.
• Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.
• Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.
• Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.
• Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.
• Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.

What We're Looking For

• Technical foundation: 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.
• Platform mindset: You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.
• Reliability and change-safety expertise: Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.
• Cloud & deployment experience: Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).
• Security & compliance awareness: Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.
• Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.
• Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.
• Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.