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Valence

AI-driven leadership coaching platform for enterprises

Staff Software Engineer - Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • At least 8 years of experience in software engineering, distributed systems, infrastructure, or platform/Site Reliability Engineering roles, with a track record of building systems other teams depend on.
  • Build reusable platform primitives and establish secure defaults and standards that scale across multiple teams.
  • Have hands-on experience with continuous integration and continuous delivery, progressive delivery, rollback and migration safety, observability, service-level objectives, and incident response.
  • Develop and operate services in cloud environments such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and work with Docker and Kubernetes.
  • Be familiar with implementing platform-level authorization, auditability, data-access controls, and policy enforcement in privacy- and data-residency-conscious ways.
  • Have software engineering skills, including writing maintainable code and debugging distributed systems.
  • Explain technical ideas clearly and work effectively with technical and non-technical stakeholders.

Responsibilities

  • Design and operate shared platform primitives used by multiple teams, including authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized large language model gateway.
  • Own reliability and change-safety systems, including continuous integration and continuous delivery gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.
  • Deliver secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries at the platform layer.
  • Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region configuration consistency checks for enterprise customers.
  • Establish service-level objectives, synthetic checks, alerting standards, incident runbooks, and drills to improve detection and recovery.
  • Create service templates, approved internal-tool paths, and standard deployment, monitoring, and authentication patterns for the internal developer platform.
  • Build issue-to-pull-request automation infrastructure with governance, human-in-control workflows, and audit logs that turn signals into auditable, human-approved execution outcomes.

About the Company

Valence

AI-driven leadership coaching platform for enterprises

Valence provides a B2B digital platform that delivers AI-powered leadership coaching. Its main product is Nadia, an AI coach integrated into a suite of tools that helps organizational leaders prepare for performance reviews, manage team changes, and improve team dynamics. The platform works by using AI to analyze leadership situations, provide personalized feedback, and coach users based on research about human dynamics and team performance. Valence differentiates itself by offering a research-backed, personalized coaching experience within an enterprise software package designed for organizations, rather than consumer-focused services. The company’s goal is to help leaders develop their skills and build more effective teams by providing scalable, data-informed coaching at the enterprise level.

Company size
51-200
Company stage
Series B
Total funding
$75.1M
Headquarters
New York City, New York
Founded
2017

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