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Build and own internal reliability engineering tools for developers, SREs, and operations teams. Develop, test, deploy, and operate production applications in GCP; automate infrastructure and operational processes; create monitoring, dashboards, logging, alerting, and incident responses; perform destructive and resiliency testing; support change control and ITIL practices; and apply AI agents to improve change hygiene and reduce incidents. Collaborate in agile teams while documenting operational procedures and supporting system reliability.

Develops reliable, secure, and scalable cloud platform software through infrastructure automation, monitoring, observability, and destructive testing. Participates in incident triage, root cause analysis, change and problem management, blameless postmortems, and SLO support. Collaborates in agile product teams, creates dashboards and alerts, automates operational toil, configures commercial solutions, and contributes to resilient customer-facing platforms.

Designs, builds, tests, deploys, and maintains reliability engineering software and automation. Develops monitoring solutions, health dashboards, API integrations, alerting pipelines, and enterprise workload orchestration. Modernizes legacy monitoring and batch systems using scripts and scalable platforms, improves incident response, and establishes onboarding standards. Collaborates in agile product processes, troubleshoots operational issues, and mentors junior engineers and contractors. Supports critical retail and supply chain operations through proactive reliability systems.

Develops, analyzes, and administers compensation programs, including incentive plans, equity programs, pay ranges, market analysis, position management, and compensation reporting. Provides analytical support for compensation strategy and Board reporting, advises HR partners on compensation decisions and systems, prepares communications and administrative documents, and supports training and problem resolution.

Develops and maintains reliable cloud platform software, automates infrastructure and operational processes, establishes SLOs, and improves resilience, performance, and security. Leads incident triage, root cause analysis, postmortems, problem management, and destructive testing. Collaborates with product and engineering teams, supports production systems, contributes to agile delivery, and mentors junior engineers while driving no-repeat resolutions and reducing operational toil.

Leads software engineering efforts for production applications, including development, testing, deployment, monitoring, security, resilience, and performance tuning. Designs reusable code and architecture documentation, collaborates with product teams, supports agile delivery, and mentors junior engineers. Contributes to technical roadmaps, cross-functional initiatives, platform adoption, system modernization, and AI-driven engineering productivity improvements.

The Associate Media Manager supports omni-channel campaign planning, buying, activation, optimization, and reporting. The role manages addressable media components, including bidding, targeting, ad creation, testing, and performance tracking. It also coordinates agency and platform partners, integrates campaign workflows, communicates with stakeholders, and promotes best practices. The position operates independently on assigned programs and provides informal mentorship within the media organization.

Owns strategy, planning, delivery, and stakeholder alignment for the Workday Security product line. Translates user and business needs into product priorities, roadmaps, metrics, MVPs, and user stories. Conducts research, prioritizes and accepts backlog items, supports agile ceremonies, evaluates solutions, and communicates product decisions. Partners with engineering, design, finance, business stakeholders, and third-party partners to deliver secure, valuable products and continuously improve outcomes.

Develops, tests, deploys, and maintains enterprise-facing data orchestration software that automates retail merchandising decisions. Collaborates with data scientists, product leaders, engineers, and business analysts to build cloud-deployed applications and data solutions. Participates in agile processes, follows engineering best practices, supports production applications, and continually develops technical and leadership skills.

Design, build, and scale enterprise-grade multi-agent AI systems and RAG pipelines. Embed model governance, observability, privacy, and ethical AI guardrails. Industrialize prototypes into production, integrate agents with enterprise data and MarTech, optimize model performance, and develop automated evaluation and testing for non-deterministic AI workflows. Mentor engineers and collaborate cross-functionally to deliver high-throughput, secure AI solutions.