Role Description We are looking for a pragmatic and experienced Platform Engineer to build the production-grade platform for AI-assisted Software Development Life Cycle (SDLC). You excel at turning innovative multi-agent concepts into a reliable, enterprise-scale service that will be used by thousands of engineers. You will build the rock-solid foundation that will empower our developers to deliver software in weeks, not months. You are the engineer who makes the AI vision a reality. - Design, build, and maintain the core infrastructure for the AI-Assisted SDLC Platform using Infrastructure as Code, ensuring high availability and scalability for all agent interactions. - Develop the production implementation, managing the state, context, and human-approval gates between the various SDLC agents. - Build the critical integration points for our developers, including backend services for the VS Code extension and webhooks for seamless GitHub pull request workflows. - Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes. - Collaborate with the LLM Engineers and software teams to translate complex requirements for agent communication into a robust and scalable technical architecture, iterating based on real-world usage. - Integrate the platform with critical enterprise systems. Qualifications - 5+ years of experience as a full-stack or backend engineer, with expert-level proficiency in Python and experience with TypeScript/JavaScript. - Strong, hands-on experience with cloud infrastructure (AWS preferred), Infrastructure as Code (e.g., Terraform), and container orchestration (Kubernetes). - Proven track record of designing, building, and managing CI/CD pipelines for production systems. - Experience building or operating Platform as a Service (PaaS) or large-scale distributed systems in an enterprise environment. - Familiarity with building applications powered by LLMs. Requirements - Experience architecting and building developer tools, IDE extensions (e.g., for VS Code), or GitHub Apps. - Experience building stateful, real-time web applications using technologies like WebSockets or Server-Side Events to power live IDE interactions. - Proven experience designing and building LLM-powered agents and multi-step agentic workflows, especially for code generation or analysis. - Professional fluency in Japanese, both written and spoken. Benefits - To Shape a Global Culture: Play a pivotal role in defining the people-centric culture of a rapidly growing global technology company from the ground up. - To Make a Global Impact: Work at the exciting intersection of cultures and innovation, directly supporting digital transformation projects for world-renowned clients. - To Accelerate Your Growth: Gain exposure to international teams, cutting-edge technologies, and endless opportunities for professional development. - A Dynamic & Inclusive Team: Join a collaborative environment where new ideas are celebrated, and your contributions truly matter. - Competitive Rewards: We offer a competitive compensation and benefits package in a company poised for long-term global growth. We are a remote-first, flexible work hours company.

• Owning and executing the PAM product roadmap, balancing current operational needs with longer-term strategic goals for privileged access and secrets management across the enterprise • Proactively identifying and prioritizing use cases for human and non-human privileged access—including service accounts, non-human identities (NHI), agentic/automated workflows, and secure secrets management for cloud and DevOps environments • Anticipating evolving business, security, and technology trends—including AI-driven and agentic access scenarios—and translating them into actionable product features, policies, and program initiatives • Overseeing the design, optimization, and engineering of workflows for privileged account vaulting, lifecycle management, just-in-time (JIT) access, session monitoring, and automated credential rotation across hybrid environments • Driving integration of PAM with related platforms such as IAM, IGA, SIEM, cloud providers (AWS, Azure, GCP), and CI/CD pipelines to support secure automation and enterprise agility • Leading, mentoring, and developing a high-performing PAM engineering team, fostering a culture of innovation and continuous improvement in a rapidly evolving threat landscape • Monitoring PAM platform maturity, industry trends, and emerging standards to continuously sharpen the program's strategic direction • Serving as the internal subject matter expert (SME) for privileged access—advising security, architecture, compliance, and business teams on PAM capabilities, gaps, and best practices • Responding to and remediating audit findings related to privileged access controls and secrets management • Managing budget planning, resource allocation, and vendor relationships for all PAM technologies and solutions • Developing and maintaining documentation, standards, and operating procedures that make PAM understandable and adoptable across the organization

• Automate the Azure infrastructure powering our products from end-to-end. • Harden what exists, modernize what needs it, and build new infrastructure the right way from the start using Bicep and ARM templates. • Build and mature our DataDog implementation including how we are using it, not just configuration. • Ensure our Azure environment, pipelines, and application follow security best practices. • Standardize what 'healthy' looks like for our systems. • Own the reliability and effectiveness of our Azure DevOps pipelines. • Build self-service tools, standards, and documentation. • Lead performance investigations and own post-incident reviews. • Act as a consultant and coach to development teams on cloud best practices, security, reliability patterns, and observability.

• Design and implement cloud-native architectures on AWS • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform and TerraGrunt • Build and optimize Kubernetes clusters on Amazon EKS, including networking, storage, and security configurations • Implement and manage CI/CD pipelines using GitLab • Design and implement monitoring, logging, and alerting solutions using tools like Prometheus, Grafana, and AWS CloudWatch • Develop and maintain Helm charts for application deployments on Kubernetes • Implement security best practices and compliance measures across the platform • Automate operational tasks and create self-service tools for development teams • Collaborate with development teams to improve application deployment processes and platform usability • Continuously evaluate and integrate new technologies to enhance the platform's capabilities • Implement and maintain security controls in accordance with DoW standards such as NIST SP 800-53, DISA STIGs, and the DoW Enterprise DevSecOps Reference Design • Maintain and optimize AWS cloud infrastructure and cloud-based resources • Integrate DevSecOps tools and services to enable automated pipelines that support customer applications throughout their SDLC • Collaborate with development, operations, and security teams and contribute to the development of DevSecOps strategies and roadmaps • Develop and maintain comprehensive documentation for the platform, including user guides, API documentation, and best practices • Create engaging and informative diagrams to illustrate system architecture and workflows • Design and produce instructional resources such as tutorials, videos, and interactive learning materials • Develop and deliver training sessions to help users effectively leverage the platform • Adapt to evolving role responsibilities