• Build and maintain an Excel Web Add-in used by finance teams in Excel Online and desktop • Develop cloud APIs that coordinate report execution, parameters, and results • Build and evolve a secure on-prem connector service that accesses customer SQL Server environments or connects to Azure-based cloud infrastructure • Design and tune SQL queries and schemas for reporting and analytics use cases • Ensure reliability, performance, and security across the full system • Translate business and reporting needs into clear technical use cases and system designs • Define system boundaries, responsibilities, and data flows • Decompose larger initiatives into well-scoped, sequenced work items • Review designs and implementations from other developers • Establish pragmatic standards for performance, security, and maintainability • Act as a technical partner to product and business stakeholders • Contribute to AI-assisted features across the platform including reporting assistance, metadata generation, workflow acceleration, and semantic interpretation • Apply pragmatic judgment about where AI creates leverage and where engineering rigor must prevail

• As a Frontend Platform Engineer on Calendly’s App Platform team, you will be instrumental in building the foundational capabilities that power our product ecosystem. • Your work will directly impact how our engineering teams ship features and the quality of experience they deliver to millions of Calendly users. • You'll help evolve our shared React architecture, package ecosystem, and developer experience. • You'll contribute to engineering standards, strengthen the reliability of our frontend infrastructure, and build the resilient tooling and migration paths our growing platform demands. • You will work hands-on with technologies like React and Webpack to build highly resilient, scalable systems; from real-time server-to-client data infrastructure to shared frontend services. • You will partner with product managers, designers, and engineering teams across Calendly to translate their needs into robust platform solutions that serve the entire organization. • Ensure reliability and performance of platform services through thoughtful monitoring, testing, and incident response.

Role Description The Vice President of Platform Engineering will be responsible for leading the strategy, architecture, delivery, and operational excellence of enterprise technology platforms across cloud engineering, DevOps, infrastructure as code, IT security, artificial intelligence, and application platform services. This is a senior leadership role requiring more than 20 years of technology experience and a proven track record of building scalable, secure, resilient, and cost-effective platforms that support business growth, innovation, and operational efficiency. - Lead the enterprise platform engineering strategy across cloud, DevOps, automation, AI enablement, security, and application platform services. - Design, build, and operate scalable, secure, and resilient platforms across public cloud, private cloud, and hybrid cloud environments. - Advance DevOps maturity through the implementation of CI/CD pipelines, infrastructure as code, automated testing, release automation, and platform self-service capabilities. - Partner with Information Security to embed security-by-design principles, identity and access controls, vulnerability management, compliance standards, and secure engineering practices into platform services. - Lead AI platform enablement, including infrastructure, tooling, governance, automation, and integration patterns that support enterprise AI initiatives. - Oversee application platform architecture, developer experience, API management, container platforms, observability, monitoring, and operational support capabilities. - Establish enterprise platform standards, reference architectures, engineering best practices, operating models, and governance frameworks. - Build, lead, and mentor high-performing engineering teams, including cloud engineers, DevOps engineers, site reliability engineers, platform architects, and automation specialists. - Improve system reliability, performance, availability, disaster recovery for cloud-based Applications, business continuity for Cloud-based Applications, and incident response capabilities. - Manage technology roadmaps, vendor relationships, budgets, capacity planning, platform lifecycle management, and investment optimization. - Collaborate with business and technology leaders to ensure platform capabilities are aligned with enterprise priorities and business outcomes. - Drive continuous improvement across engineering delivery, operational processes, security posture, resiliency, automation, and cost efficiency. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field preferred. - 10+ years of progressive technology experience across IT infrastructure, platform engineering, cloud engineering, application development, DevOps, CI/CD, SaaS management, quality assurance, cloud-based disaster recovery, and IT security. Requirements - Strategic thinker with strong execution discipline. - Strong focus on operational excellence, resiliency, security, and customer service. - Ability to balance innovation with risk management and cost efficiency. - Collaborative leader who can influence technology and business teams. - Passion for developing talent, modernizing platforms, and enabling business outcomes through technology. - Proven experience in a senior technology leadership role with responsibility for enterprise platforms, engineering teams, technology strategy, and operational execution. - Experience in financial services, mortgage, banking, investment management, or another regulated industry preferred. - Strong experience with cloud platforms, hybrid infrastructure, automation, modern engineering practices, and enterprise-scale technology operations. - Hands-on knowledge of Kubernetes, Terraform, Ansible, GitHub, GitLab, Jenkins, Azure DevOps, observability platforms, and cloud security tools. - Understanding of SRE practices, platform product management, FinOps, enterprise architecture governance, and secure software delivery. - Experience supporting AI, automation, data, or application modernization initiatives in an enterprise environment. - Relevant certifications in cloud, security, DevOps, enterprise architecture, or AI technologies preferred. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Regularly required to sit and use hands to handle, touch or feel objects, tools, or controls. - Frequently required to talk and hear. - Occasionally required to stand; walk; reach with hands and arms. - Rarely required to stoop, kneel, crouch, or crawl. - Must regularly lift and/or move up to 10 pounds. - Specific vision abilities required include close vision, color vision, and the ability to adjust focus. EEOC Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Role Description We are looking for a Platform Engineer to own our internal developer platform end to end. This is a senior individual contributor role spanning CI/CD, edge infrastructure, observability, and developer tooling across a TypeScript and Python monorepo. You will treat internal engineers as your primary users and measure success by their productivity. The role has a clear growth path toward Staff or Principal-level engineering. - Design and maintain GitHub Actions workflows across a monorepo, including reusable workflows, OIDC federation to Cloudflare and Vercel, and a comprehensive CI quality bar covering type-checking, linting, testing, and SAST. - Own the full deployment pipeline from branch to preview to production, including artifact signing, SBOM generation, and supply chain security practices. - Instrument Python and TypeScript services with OpenTelemetry, own OTel Collector configuration, and establish a vendor-neutral observability strategy covering traces, logs, and metrics across edge compute environments. - Define SLOs with product teams, implement error budget alerting, and set the organization-wide logging contract. - Own Cloudflare and Vercel configuration as code via Terraform or Pulumi, ensuring all infrastructure changes are PR-reviewed and version-controlled. - Build and maintain internal CLIs and scaffolding tools that provision new services pre-wired with CI, OTel, and deployment configuration. - Maintain an AI-aware development environment with agent-safe sandboxing and governance guardrails for AI-generated code entering production. - Track and report on platform impact: deployment frequency, PR cycle time, time-to-production, and developer satisfaction. Qualifications - Demonstrated experience in platform engineering, DevOps, or developer experience engineering in a professional context. - Strong hands-on proficiency in Python, TypeScript, and Bash. - Deep experience with GitHub Actions, Infrastructure as Code (Terraform or Pulumi), and OIDC-based keyless authentication. - Working knowledge of OpenTelemetry and software supply chain security practices. - Familiarity with edge compute platforms, particularly Cloudflare Workers and Vercel. - Strong written communication; able to produce documentation and architecture decision records that let the platform operate without direct intervention. - Self-directed and comfortable shaping a function that is still early in its development. Preferred Qualifications - Experience with Sigstore or cosign, policy-as-code tooling (OPA), or internal developer portals (Backstage). - Background in FinOps or cloud cost attribution. - Experience designing CI/CD systems that accommodate AI coding agents and non-deterministic code generation workflows.