Platform Engineer

• Collaborate with operations team members and Principal and Staff Engineers to understand desired system level outcomes and operational requirements.
• Investigate, design, test, deploy and support core cloud platform components, including networking, security and resilience features, logging, monitoring, and infrastructure-as-code (IaC) features, to ensure success.
• Design and maintain automated delivery pipelines (Infrastructure as Code) to ensure repeatable, secure feature deployments.
• Manage scalable cloud network topologies, including transit gateways, VPCs, subnets, security groups, and route tables, ensuring low-latency and secure communication between distributed services.
• Provide technical input and guidance regarding responsible components during planning and design sessions with Principal and Staff Engineers to ensure the success of the larger integrated system.
• Provide hands-on technical contributions to the infrastructure design and deployment with a time allocation of approximately 80% on solving technical problems and 20% mentoring, coordinating with Staff and Principal Engineers, and supporting operations.
• Proactively identify repetitive manual tasks and engineer automated solutions to prevent recurrence.
• Act as the second escalation point for complex incidents, leading thorough root cause analysis (RCA) and implementing systemic, long-term fixes.

Senior Platform Engineer, Connectivity

• Responsible for the architecture, roadmap development, efficient operation of Ansible Automation Platform (AAP)
• Blend deep technical mastery with platform engineering leadership
• Envision, design and evolve the Ansible Platform
• Build reusable automation frameworks
• Integrate automation with other platforms like ServiceNow
• Drive operational excellence through AI‑powered automation
• Enable self‑service, reduce operational toil, modernize infrastructure operations

Senior Ansible Automation – Platform Engineer

• Design, implement, and operate the Ansible Automation Platform (AAP) including controller, execution environments, mesh architecture, and collections strategy.
• Define and maintain the Ansible Platform roadmap, including feature evolution, lifecycle management, scalability planning, and enterprise adoption milestones.
• Establish platform governance: coding standards, role/playbook patterns, collections, testing frameworks, and security guardrails.
• Build and maintain Execution Environments (EEs) optimized for performance, security, and dependency management.
• Lead platform upgrades, migrations, and cross-environment standardization.
• Design enterprise-grade Ansible automation frameworks with reusable roles, collections, and modular playbooks.
• Build automation for provisioning, configuration management, patching, compliance, and cloud infrastructure.
• Integrate Ansible with Terraform, CI/CD pipelines, GitOps workflows, and event-driven automation systems.
• Implement self-service automation capabilities for developers, operations, and business teams.
• Integrate Agentic AI systems to enhance automation workflows, including: AI-driven playbook generation and validation, Automated remediation recommendations, Intelligent change-impact analysis, AI-assisted troubleshooting, and root-cause analysis.
• Design automation patterns that combine AI reasoning with Ansible execution for predictive and autonomous operations.
• Collaborate with AI/ML teams to embed automation signals into AIOps pipelines.

Ansible Automation Engineer

• Lead by example, fostering a culture of accountability, technology and architecture excellence, and a customer-first mindset across the organization.
• Attract, build, lead, and develop a high-performing team of technology leaders with diverse expertise, perspectives, and backgrounds.
• Lead the developer experience function, responsible for maximizing AI-enabled developer productivity, efficiency, and satisfaction by reducing friction across the software development lifecycle for thousands of developers building HP products’ software and platform technology stacks.
• Lead the security function, responsible for making secure software delivery the default path, with security embedded into application software, platforms, pipelines, and engineering workflows.
• Lead the data and AI function, responsible for developing and executing a new vision for delivering trusted data, AI, and ML capabilities that software, platform, and product teams can use safely and repeatedly.
• Lead the infrastructure function, responsible for delivering scalable, cost-efficient, secure-by-default infrastructure primitives for all software and platform engineering teams.
• Lead the reliability function, responsible for defining and leading the reliability strategy and execution for the shared platform services that power HP’s products and digital experiences.
• Partner closely with stakeholders to implement and exemplify a true platform engineering producer-consumer model supported by well-defined, aligned service-level objectives.

Vice President, Platform Engineering

• Lead the architecture and design of complex, large-scale distributed systems
• Design, develop, and maintain scalable, fault-tolerant microservices for both real-time and batch data processing
• Build and maintain high-performance REST APIs with a focus on scalability, reliability, and maintainability
• Design and implement data models and queries for efficient storage and retrieval across SQL and NoSQL databases
• Lead data quality initiatives to ensure consistency, accuracy, and reliability of data across the platform
• Collaborate with cross-functional teams to translate platform requirements into effective technical solutions
• Drive technical standards and best practices for code quality, testing, and observability across engineering teams
• Mentor and provide technical guidance to engineers through code reviews, design discussions, and direct support
• Take end-to-end ownership of the software development lifecycle, including deployment, monitoring, and incident response

Staff Data Platform Engineer

• Design and deliver network infrastructure across DNS, edge, ingress, and service mesh
• Build tooling and abstractions for other engineering teams
• Ensure the network is observable, hardened, and resilient by default
• Work closely with cross-functional partners to understand their needs
• Contribute to a team culture of shared ownership and continuous improvement

Senior Platform Engineer – Network and Edge Services

• Drive A/AI efforts across STT’s processes and functions
• Partner with business and technology teams to design and implement transformational A/AI across people, process and technology
• Lead GenAI /Agentic AI projects through full-stack development and architecture expertise
• Work closely with Business, IT and Infrastructure teams
• Create MVPs; to assess feasibility and drive the automation strategy, include all aspects of automation, AI and ML
• Work with project management facilitating development, managing sprints
• Drive rollout & deployment of “self-service” technology platforms
• Develop an in-depth understanding of business processes, functions, teams, and incumbent technology

Senior AI Infrastructure Platform Engineer

• Define and execute the enterprise data and analytics platform strategy
• Establish standards, guardrails, and reusable capabilities for data use
• Own the strategy and lifecycle of foundational analytical data products
• Lead a unified organization spanning data engineering and analytics platforms
• Own platform-level enablement of data governance, quality, and lineage
• Lead budget, vendor strategy, and platform investment decisions
• Develop bench strength, succession pipelines, and differentiated talent
• Partner with CIOs, business leaders, and enterprise stakeholders

Vice President – Data & Platform Engineering

• Design, build, and maintain robust, scalable, and high-performance data solutions.
• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, and risk technology.
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation.
• Provide user and operational support on applications to business users.
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions.
• Ensure essential procedures are followed and help define operating standards and processes.
• Serve as advisor or coach to new or lower level analysts.

Senior Data Platform Engineer

• Collaborate with data platform architects to design and specify platform tooling, services, and integrations
• Build data lake and lake house architectures
• Build streaming data architectures to support data platform tooling and services
• Collaborate with software teams to integrate streaming and batch architectures with software products
• Collaborate with data scientists, analysts, and business stakeholders to MVP optimal solutions
• Collaborate with data governance teams and data platform architects to build governance into technical solutions
• Maintain systems and services that provide transparency and observability into our critical systems
• Implement and promote engineering and architectural patterns, perform code reviews, and collaborate in architectural reviews
• Collaborate with product team data engineers and architects to MVP data products, maintain data models, and promote data modeling best practice
• Provide technical leadership and mentorship to product and data engineers, guiding their growth and professional development and enabling their ability to use platform tooling and services
• Lead by example through hands-on contributions to designing, coding, and troubleshooting complex data systems
• Identify and address performance bottlenecks and optimization opportunities within data pipelines, databases, and processing frameworks
• Optimize data processing workflows to improve efficiency and reduce latency
• Lead efforts to diagnose and resolve data-related incidents in a timely manner
• Will participate in the grooming of stories
• Will be responsible for their own tasking towards the completion of stories
• Will mentor junior members of the team and guide junior members on best practice
• Will participate in design
• Will be responsible for the quality of their own code and will participate in code review of others product
• Will be responsible for integrating their own code with the team's DevOps plan and implementation

Data Platform Engineer

• Lead design and development of enterprise integration ecosystems including API, Model Context Protocol (MCP), Agent-to-Agent (A2A), and AI Agent-driven patterns
• Enable external and internal partner connectivity through scalable, secure B2B and B2B2C integration patterns that power TIAA's partnership ecosystem
• Drive context engineering — designing how AI agents consume and act on integration capabilities — by converting APIs into agent-ready tools
• Deliver self-service integration capabilities for both human and AI consumers
• Modernize complex legacy enterprise platforms using AI-first architectural approaches

Senior Integration Platform Engineer, AI & Agentic

• Provision complete infrastructure stacks for new product launches. Recent examples include full EKS buildouts (Karpenter, Istio, Crossplane), PostgreSQL/Redis data stores with IAM authentication, CloudFront distributions, and Datadog instrumentation across multiple concurrent initiatives.
• Lead Kubernetes platform evolution. Drive cluster upgrades, add-on lifecycle (Karpenter, Istio, Crossplane), pod identity migration, and namespace management across all environments.
• Design secure, scalable abstractions that hide infrastructure complexity and define the golden paths other teams build on.
• Own authentication infrastructure for internal and external products: Auth0 SSO, Azure AD/Entra, AWS IAM, EKS Pod Identity, and OIDC federation.
• Drive zero-trust infrastructure patterns. Rotating IAM credentials for RDS, per-app Istio authorization policies, and network isolation.
• Enable LLM-powered workflows (Bedrock, Claude Code, and similar) that let engineering teams move faster without sacrificing governance.

Senior Platform Engineer

• Designs, implements, and owns enterprise collaboration platforms such as Zoom or Google Workspace to meet business, regulatory, and operational requirements
• Identifies systemic gaps and opportunities to improve resiliency, performance, and user experience
• Defines and enforces platform architecture and technical standards
• Ensures alignment with enterprise controls including firewall/proxy rules, certificates/TLS, conditional access, logging, and monitoring
• Leads end-to-end implementation initiatives from requirements gathering to operational handoff
• Manages change control processes and provides post-deployment support
• Evaluates platform capabilities, vendor offerings, and roadmaps with consideration for security, compliance, scalability, availability, and user experience
• Recommends platform improvements and drives adoption of strategic capabilities
• Develops and maintains operational documentation
• Mentors junior engineers and provides escalation support
• Performs systems analysis, including requirements definition and logical/physical design for collaboration platforms
• Ensures solutions meet enterprise risk, compliance, and availability expectations
• Participates in special projects and cross-functional initiatives supporting collaboration platform reliability, scalability, and operational excellence.

Senior Collaboration Platform Engineer, Zoom – Google Workspace

• Build, test, and deploy end-to-end AI & Analytics applications, connecting AI/ML model inferences to functional user interfaces
• Bridge standard web architecture with machine learning operations (MLOps), handling model deployment and data pipelines
• Work with development teams and product managers to create software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through visually appealing, responsive designs
• Develop, manage, and optimize databases
• Write and consume effective REST Application Programming Interfaces (APIs), troubleshoot, debug, and upgrade software
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support set up of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Artificial Intelligence Platform Developer – Mid-Level/Senior

• Administering, designing, and delivering secure, scalable Power Platform solutions across the firm’s Microsoft 365 tenant
• Contribute to Power Platform environment strategy, governance, and lifecycle management
• Serve as a Power Platform Administrator
• Partner with Cloud Services, Application teams, Information Security, and other functional groups to deliver enterprise solutions using the Power Platform
• Integrate Power Platform solutions with Azure services and external platforms
• Collaborate with Information Security to ensure solutions meet firm security, privacy, and compliance requirements
• Lead troubleshooting and performance tuning of Power Platform solutions
• Provide technical leadership, mentorship, and guidance to developers

Power Platform Engineer

• Lead complex initiatives to develop infrastructure to provide solutions for business applications
• Participate in various projects intended to continually improve or upgrade the infrastructure
• Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
• Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
• Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third party vendors
• Design, code, test, debug and document programs using Agile development practices
• Make decisions in technical designs, implementation plans and identify project risks and resource requirements
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Recommend courses of action to maintain cost effectiveness and achieve results
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with customer and vendor

Lead Infrastructure Platform Support Engineer

• As an Officer you will contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise.
• This position requires a demonstrated excellence in system design and architecture, as well as individual contributions in development.
• You will work closely across business and IT, strong communication skills are necessary.
• Lead Development projects independently and work with Business, IT and Infrastructure teams.
• Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
• Drive rollout & deployment of “self-service” technology platforms.
• Create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML.
• Work with project management facilitating development, managing sprints.
• Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
• Create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc).
• Develop an in-depth understanding of business processes, functions, teams, incumbent technology.
• Identify what’s standard vs. bespoke, and what drives value for clients.
• Design an end-state that relies on the latest automation offerings.
• Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control.

• Partner with platform leadership to evolve the internal developer platform toward an AI-first model
• Translate strategic direction into practical, scalable implementations
• Help shape platform capabilities through hands-on engineering and technical input
• Design and implement self-service infrastructure systems that abstract away cloud complexity
• Build APIs, CLIs, and developer-facing tools that enable infrastructure provisioning without requiring deep cloud expertise
• Introduce AI-assisted interfaces (CLI, chat, UI) for provisioning, debugging, and operations
• Design, build, and operate secure, multi-tenant Amazon EKS clusters
• Contribute to platform architecture, scalability, cost optimization, and reliability
• Implement policy, networking, and workload isolation best practices
• Build systems that interpret infrastructure signals (logs, metrics, events) and provide actionable insights
• Develop AI-assisted workflows for incident triage, root cause analysis, and runbook generation/execution
• Enable human-in-the-loop automation for safe and controlled remediation
• Build platform SDKs, CLIs, and service templates that standardize infrastructure consumption
• Contribute to AI-powered copilots and assistants that improve developer productivity
• Enable natural language interaction with platform services where appropriate
• Implement reusable infrastructure patterns and opinionated defaults
• Encode security, scalability, and compliance into platform tooling
• Extend Infrastructure as Code practices (e.g., OpenTofu) with abstraction and validation layers
• Implement logging, metrics, and tracing across platform systems
• Leverage AI to detect anomalies, summarize system behavior, and surface actionable insights
• Contribute to systems that move from visibility to guided action
• Contribute to platform instrumentation and feedback loops
• Use data and developer feedback to improve usability, performance, and adoption
• Continuously refine platform capabilities based on real-world usage
• Work closely with application teams, SREs, and security engineers
• Support platform adoption through strong technical partnership
• Provide mentorship and guidance to engineers where needed

Senior Infrastructure Platform Engineer

• Join our Enterprise Data and AI Database Platform team as a Senior Cloud Database Platform Engineer.
• Skilled in multiple databases, database administrative services and replication, cloud data platforms, CI/CD and Dev Assist tools.
• Develop IAC automation pipelines using CFT and OpenTofu.
• Work with enterprise teams - Systems Administrators, Cyber Security and Capacity Planning groups.

Senior Cloud Data Platform Engineer

• Lead the comprehensive architecture and detailed design of enterprise platform services
• Define and implement industry-leading best practices for infrastructure as code
• Drive complex platform modernization initiatives
• Establish and enforce reliability, resiliency, and observability standards
• Partner strategically with product teams, AI engineering teams, security architects, and compliance specialists

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