Platform Engineer

• 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

• 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

• Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.
• Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews.
• Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale
• Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale
• Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas.
• Able to design innovative strategies and ways of working to create a better environment for the end users
• Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area.

Senior Gen AI Platform Engineer

• Architect and evolve our cloud-native platform and services to support high-throughput, low-latency data processing patterns, customer-facing features, and design platform to meet scalability requirements.
• Design scalable, distributed systems powering complex capabilities such as authentication & authorization, data lifecycle management, metadata management, operational intelligence, and real-time event processing.
• Evolve the authorization service toward modern identity standards and customer-configurable, fine-grained access models that scale without a release for every new role including authorization for non-human identities (service-to-service, AI agents, MCP-based tooling).
• Built systems that capture and enforce structured metadata at ingest and serve it through clean service contracts; understands where platform metadata plumbing ends and the semantic/ontology layer begins, and collaborates well across that boundary.
• Build governance primitives for a regulated environment — compliance-grade audit trail, dataset-level access controls, and approval / eSignature workflows.
• Collaborate with engineering and product teams to deliver infrastructure that supports new services, customer-facing applications, and high-volume data processing workloads.
• Build and maintain infrastructure-as-code (e.g., CloudFormation, AWS CDK) to automate, standardize, and secure deployments to support online upgrades and on-demand infrastructure allocation.
• Enhance observability and monitoring to ensure reliability, cost efficiency, and rapid incident response.
• Champion best practices in distributed systems design, scalability, and performance optimization, and share architectural insights through design reviews and technical documentation.

Lead Software Platform Engineer

• Own the platform architecture and define modernization strategies for C5I mission systems
• Lead the development of resilient, scalable, and secure platform environments using Linux, Kubernetes, Docker, Terraform, Ansible, Artifactory, and related technologies
• Influence program‑level decisions involving hardware/software trade‑offs, COTS selection, platform reuse, and requirements synthesis
• Architect end‑to‑end DevSecOps workflows to support high‑frequency, high‑quality deployments across MDS programs
• Oversee CI/CD pipelines (Jenkins, GitLab CI/CD) to ensure secure, automated build, test, and release processes at scale
• Drive initiatives that raise DevSecOps maturity, expand Infrastructure‑as‑Code adoption, and increase automation coverage
• Lead cross‑program integration efforts spanning Software, Systems Engineering, Cybersecurity, Platform and Integration & Test teams
• Conduct advanced debugging and performance optimization across distributed and containerized environments
• Establish platform engineering standards and best practices across multiple MDS and C5I product lines
• Represent the platform engineering discipline in major design reviews, customer meetings and technical boards
• Mentor and guide Platform Engineers, providing technical direction and fostering a culture of learning and collaboration
• Provide leadership in Agile Scrum/Kanban environments, supporting planning, estimation and technical execution

Principal Platform 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.

• Set and drive the technical vision for the team and partner with peer staff/principal engineers to shape direction across adjacent teams (data platform, reporting, internal and external frontends & apps)
• Sit at the table with product and business stakeholders (KBRA Analytics, Bank Product) to translate strategy into a multi-quarter technical roadmap, make build/buy/sunset calls, and own the architectural decisions that come out of them.
• Own the architecture of a Snowflake lakehouse ingesting 30+ regulatory and market data sources (FFIEC, FDIC, NCUA, FactSet, Xignite, SEC EDGAR, FRED, etc.) via S3 external tables, Dask-based transforms, and SQS / Mongo change-stream event pipelines.
• Design and evolve reusable Terraform modules spanning AWS, Azure, Snowflake, MongoDB Atlas, GitLab, Datadog, etc.
• Drive CI/CD, IaC, and acceptance-test (BDD/behave) standards across the team.
• Mentor engineers and act as code-owner across IaC, data-lake, and application repos.

Lead Full-Stack Platform Engineer – KFI Data Platform

• Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business
• Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards
• Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners
• Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results
• Design and develop complex integrations within the Workday platform to support candidate and associate experience using web service technologies, SOAP, REST, WSDL, XML, XSLT
• Provide technical expertise on Workday Studio technologies, security, troubleshooting system issues, data analysis, vendor management and coordination with other HR/Enterprise teams
• Lead a team of integrators and configurators to support the Workday HCM modules
• Work with product owners to align on priorities and deliver on key objectives using Agile methodologies, while maintaining the highest platform and Enterprise standards
• Design and develop automation workflows, perform unit tests and conduct code reviews for self and the team, to make sure work is rigorously designed, elegantly coded and effectively tuned for platform performance and quality

Lead Platform Engineer, Workday

• Leading a team of engineers, including hiring, coaching, career development, and performance management
• Setting technical direction and driving architectural decisions for your team's domain, balancing innovation with reliability and maintainability
• Partnering with Product and Architecture to define roadmaps, decompose initiatives into deliverables, and ensure alignment across teams
• Driving operational excellence through investment in observability, incident response, SLOs, and production readiness practices
• Establishing and evolving engineering processes that enable your team to deliver high-quality software at pace — CI/CD, code review, testing strategies, and release management
• Building a culture of ownership, psychological safety, and continuous learning within your team
• Managing delivery across multiple workstreams, removing blockers, managing dependencies, and communicating status and risk to leadership
• Contributing to the broader engineering organization through participation in technical governance, architecture reviews, and cross-team initiatives
• Championing developer experience and engineering productivity improvements that benefit teams beyond your own
• Staying current with industry trends and technologies, evaluating their applicability to our platform and advocating for strategic adoption where appropriate

Senior Manager – Platform Engineering

• Provision and manage cloud infrastructure across compute, networking, storage, and managed databases
• Maintain consistency across development, staging, and production environments
• Plan and execute workload migrations across cloud providers with minimal disruption
• Identify and implement infrastructure cost optimization opportunities
• Build and maintain CI/CD pipelines across a multi-repository environment
• Implement deployment strategies such as blue/green, canary, and rolling deployments
• Develop automation tooling and scripts to reduce manual effort and improve delivery speed
• Write and maintain Terraform infrastructure across multi-account, multi-environment systems
• Establish IaC standards, module reuse patterns, and state management practices
• Drive infrastructure changes through version-controlled, peer-reviewed workflows
• Participate in on-call rotation and lead incident response efforts
• Maintain observability through dashboards, alerting, logging, and SLO tracking
• Conduct post-incident reviews and implement long-term remediations
• Manage secrets, certificates, and access controls using least-privilege principles
• Apply security best practices across infrastructure, containers, and CI/CD pipelines
• Support audit and compliance initiatives through documentation and access reviews
• Partner with engineering teams on infrastructure guidance and service design
• Create architecture documentation, runbooks, and operational guides
• Help build self-service platform capabilities for engineering teams

Senior Platform Engineer

• Design and build the core certification platform: client onboarding portal, secure document collection, evidence management, and audit workflow tools.
• Build the customer-facing portal where clients track certification status, submit documentation, and receive audit findings.
• Develop the auditor-facing tools used to conduct remote and on-site assessments, score compliance criteria, and generate certification reports.
• Build the public certification registry — a searchable, verifiable database of all Clause5afe certifications.
• Implement security infrastructure appropriate for a company handling sensitive enterprise governance data: encryption, access controls, audit logging, and compliance with SOC 2 / ISO 27001 standards.
• Establish CI/CD pipelines, testing frameworks, and development workflows that scale as the team grows.
• Collaborate with the CCO and Director of Certification Operations to translate certification methodology into technical requirements.
• Contribute to technical hiring decisions as the engineering team expands.

Lead Platform Engineer

• As an Officer you will contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise.
• 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.
• Develop an in-depth understanding of business processes, functions, teams, incumbent technology.

• Shape the strategic vision for Voya’s Wealth Management platform and manage the go-forward digital technology strategy & roadmap.
• Serve as a “horizontal leader” across the organization—raising engineering quality and reliability across multiple product squads while improving developer productivity and delivery velocity.
• Set Engineering Standards & Govern Technology Decisions by defining and enforcing engineering standards across squads (approved stacks, patterns, API conventions, logging/error standards, libraries, and tech radar).
• Lead an engineering council to review cross-cutting proposals and ensure decisions are documented via Architecture Decision Records (ADRs).
• Own a technology debt register and drive remediation as a first-class engineering priority.
• Build a World-Class Quality Engineering System by establishing non-negotiable quality gates across CI/CD (unit, integration, contract, end-to-end, performance, and accessibility).
• Standardize contract testing across API boundaries to protect customer journeys from regressions.
• Own performance/load testing and accessibility standards (e.g., WCAG 2.2 AA) as core quality requirements.
• Define and govern how AI is built and shipped across the portfolio (LLM integration patterns, RAG standards, guardrails, validation, observability).

Vice President, Platform Engineering – Digital & Wealth Management

• Design and build the next-generation simulation infrastructure that supports aircraft modeling, autonomy development, and hardware-in-the-loop validation across multiple aircraft platforms
• Improve stability of routing layers, hardware/software interfaces, and runtime integration components
• Introduce versioning and compatibility discipline across simulation artifacts
• Build validation tooling to prevent integration breakage from reaching lab benches
• Expand scenario-based simulation capabilities supporting autonomy development
• Enable structured Monte Carlo and multi-scenario validation workflows
• Develop infrastructure to simulate sensor inputs and autonomy behaviors in realistic operational contexts
• Improve determinism and traceability of simulation runs
• Implement CI/CD workflows for simulation artifacts
• Improve reproducibility of simulation environments
• Implement schema-driven validation mechanisms for interfaces
• Mentor and elevate engineers working on simulation tools and routing infrastructure
• Establish extensibility and architectural standards within the simulation stack
• Influence cross-functional stakeholders (Autonomy, Compute Platform, Systems, Lab Integration)

Staff Simulation Platform Engineer

• Work with product owners to understand desired application capabilities and testing scenarios
• Understand and translate the priorities of the business while integrating Finance value proposition and strategies to meet the needs of the business
• Deliver solutions for Capital One's Global Finance organization using capabilities in Workday Financials modules including Core Financials, Expenses, Accounting Center and Prism.
• Deliver solutions in Workday platform across the Finance modules of General Ledger, Fixed Assets, Expenses, Global Consolidation, Invoices, Payments and Suppliers through efficient and organized processes while maintaining high standards
• Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners
• Identify opportunities for process improvements, collaborate with Finance partners to provide innovative ideas and insights to redesign business processes that will optimize business results
• Continually research, test and stay up-to-date on Workday Technology & Platform updates, fixes and capabilities
• Build & maintain thorough documentation for system implementation & maintenance
• Primary contact for questions related to how the system works from a business and a technical perspective
• Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues

Platform Engineer, Workday – Techno-Functional, Finance

• Help define the technical vision of the team/org, articulate how our data platform and architecture could evolve
• Design, implement, and optimize our high-performance, scalable data serving platform that enables data querying and consumption across the organization and external facing data products
• Design, implement, and optimize our high-performance, scalable data storage and transformation platform that enables both batch and stream processing with 100+ million updates per day on datasets > 100 billion rows
• Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases
• Build batch and streaming data pipelines for core blockchain datasets widely used across the company
• Deploy cloud infrastructure at scale with enterprise-grade reliability, implement and maintain infrastructure automation and self-service, and create robust CI/CD pipelines
• Establish and maintain observability, security, and data governance solutions to ensure high quality, efficiency, and reliability of data pipelines

Senior Data Platform Engineer, Data Cloud

• Design, implement, and support DevOps, OpenShift and Azure Red Hat OpenShift solutions for Public and Hybrid-Cloud-driven digital transformations.
• Build new and support existing Red Hat OpenShift and Azure Red Hat clusters/platforms.
• Develop new and maintain existing CI/CD DevOps pipelines solutions.
• Provide extensive hands-on support for the administration, configuration, and overall support of the platform.
• Research and develop potential system solutions, including evaluating product and/or vendor products and services when needed.
• Work independently on medium-scale and complexity projects or problem-solving exercises.
• Work across the organization with developers, engineers, and architects to develop solutions.
• Provide rotating on-call support of production infrastructure and applications and business hours support for development systems. Works collaboratively with all IT functions.

• Design, implement, integrate, and maintain systems and tools to automate complex cyber activities
• Apply specific functional knowledge and working and general industry knowledge
• Develop or contribute to solutions to a variety of problems of moderate scope and complexity
• Work independently with some guidance, and review or guide activities of junior employees

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