Platform Engineer

• Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate.
• Contribute toward the success of our technology initiative developing a modern analytics platform for the business.
• Deep understanding of at least one major cloud provider (Azure or AWS) regarding networking (VNet/VPC, PrivateLink), storage (ADLS Gen2, S3), and IAM.
• Advanced Proficiency in at least one programming language.
• Extensive experience with Terraform and the Databricks Terraform Provider to manage workspace resources, clusters, and permissions.
• Extensive Experience building and using automation pipelines using GitLab or similar for CICD and Databricks Asset Bundles (DABs).
• Responsible for designing, developing, testing, operating and maintaining products.
• Takes full stack ownership by consistently writing production-ready and testable code.
• Makes sound design/coding decisions keeping customer experience in the forefront.

Senior Data Analytics Platform Engineer, Databricks

• 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 an engineering organization of approximately 40–60 engineers and contractors, including engineering managers, with accountability for staffing, performance, and delivery outcomes.
• Own operational and delivery results for mission-critical platforms, with a strong focus on stability, resiliency, availability, and regulatory compliance.
• Provide technical leadership across mainframe and distributed systems, supporting teams during complex delivery challenges, production incidents, and escalations.
• Drive execution of large, high-visibility initiatives, ensuring predictable delivery, transparency, and effective risk management across competing priorities.
• Lead and advance modernization efforts, including modernization on or off the mainframe, while maintaining uninterrupted business operations.
• Strengthen engineering practices through sound design decisions, quality standards, and a culture of continuous improvement.
• Develop and coach engineering managers and senior engineers, with a focus on career development, upskilling, and succession planning.
• Build strong partnerships with product, architecture, operations, and business leaders to align technology delivery with business priorities.
• Champion agile and product-oriented delivery models while maintaining accountability for results.

Software Engineering Director – Card Platform Engineering

• Set technical direction for the platform: drive architecture decisions, write ADRs, evaluate trade-offs, and bring the team along.
• Design, build, and operate platform services on GCP, covering compute (GKE, Cloud Run, Compute Engine), networking, IAM, secrets, observability, and CI/CD integrations.
• Author and maintain Terraform modules and a clean state strategy across multiple GCP projects and environments.
• Import, refactor, and clean up legacy infrastructure when needed.
• Build and operate GKE clusters: workload identity, networking, ingress (nginx), autoscaling, upgrades, policy, and cost controls.
• Stand up serverless and PaaS patterns for application teams (Cloud Run, Cloud Functions, Pub/Sub, Workflows) with sensible defaults baked in.
• Partner with our AI / Software Engineers to operationalize agents and models: Vertex AI Agent Engine deployments, model endpoints, eval and observability pipelines, prompt/secret management, and CI/CD for AI artifacts.
• Implement secure-by-default CI/CD with GitLab using Workload Identity Federation: no long-lived keys, least-privilege service accounts, reproducible deploys.
• Contribute to Azure and AWS work as needed: networking, identity, storage, and helping align patterns across clouds.
• Improve developer experience: golden paths, paved roads, internal docs, and templates that make the right thing the easy thing.
• Mentor other engineers on the team through code review, pairing, design feedback, and knowledge-sharing.
• Raise the technical bar across CloudOps.
• Lead incident response and post-incident reviews for systems you own and help mature how the team operates on call.

Senior Platform Engineer

• Design, build, and operate the enterprise Snowflake data platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the Snowflake platform lifecycle, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Build and maintain multi‑account Snowflake environments (PROD / NONPROD / DEV) on Snowflake Business Critical edition
• Implement secure Azure Private Link connectivity, including private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning of Snowflake resources (databases, schemas, warehouses, roles, tags, monitors, integrations)
• Enable self‑service platform consumption through validated YAML manifests deployed via Shield CI/CD pipelines
• Integrate Snowflake with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service account authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Enforce security and compliance controls, including data masking, row‑level security, object tagging, audit logging, and policy‑as‑code
• Embed infrastructure and supply‑chain security scanning into CI/CD pipelines (Checkov, tfsec, Semgrep, Snyk)
• Design for resiliency and cost efficiency, including warehouse sizing, resource monitors, cost allocation tags, and chargeback reporting
• Own cross‑region disaster recovery, replication strategies, and RPO/RTO adherence
• Govern secure data sharing patterns and monitor data sharing usage and approvals
• Partner with Cloud, IAM, Security, and FinOps teams to ensure alignment with enterprise standards and regulatory requirements

Lead Snowflake Platform Engineer

• Design, build, and operate the enterprise Snowflake data platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the Snowflake platform lifecycle , including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Build and maintain multi‑account Snowflake environments (PROD / NONPROD / DEV) on Snowflake Business Critical edition
• Implement secure Azure Private Link connectivity , including private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning of Snowflake resources (databases, schemas, warehouses, roles, tags, monitors, integrations)
• Enable self‑service platform consumption through validated YAML manifests deployed via Shield CI/CD pipelines
• Integrate Snowflake with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service account authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Enforce security and compliance controls , including data masking, row‑level security, object tagging, audit logging, and policy‑as‑code
• Embed infrastructure and supply‑chain security scanning into CI/CD pipelines (Checkov, tfsec, Semgrep, Snyk)
• Design for resiliency and cost efficiency , including warehouse sizing, resource monitors, cost allocation tags, and chargeback reporting
• Own cross‑region disaster recovery , replication strategies, and RPO/RTO adherence
• Govern secure data sharing patterns and monitor data sharing usage and approvals
• Partner with Cloud, IAM, Security, and FinOps teams to ensure alignment with enterprise standards and regulatory requirements

Lead Platform Engineer

• 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

• Architect and implement the MLOps strategy for the program
• Design and own enterprise-grade ML/LLM pipelines
• Build container-oriented ML platforms (GKE-first)
• Implement hybrid MLOps + LLMOps workflows
• Serve as a technical authority across multiple internal and customer projects
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems
• Collaborate with cross-functional teams to deliver production-ready ML solutions
• Ensure all solutions adhere to security, governance, and compliance expectations
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation
• Mentor engineers and provide guidance on modern MLOps tools

Architect – Platform Engineering

• 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

Snowflake Platform Engineer

• 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

• Lead and develop a team of infrastructure engineers in defining and executing the IaC and platform automation strategy
• Drive adoption of engineering best practices, automation, and platform standardization
• Lead the implementation and scaling of Infrastructure as Code using tools such as Terraform
• Enable and support infrastructure across cloud platforms (AWS, Azure) and on-prem environments
• Enhance and support CI/CD pipelines and deployment automation
• Improve platform observability, monitoring, and alerting capabilities
• Incorporate security best practices such as least privilege access and secrets management

Platform Engineering Manager – Infrastructure as Code

• Design, build, and maintain the internal developer platform
• Own the full platform lifecycle — from infrastructure provisioning and GitOps delivery pipelines to observability and developer experience
• Work across multi-cloud environments
• Design, provision, and maintain cloud infrastructure across Azure, AWS, and GCP using infrastructure-as-code tooling (e.g., Terraform, Pulumi, CloudFormation)
• Manage Terraform Cloud workspaces, module registries, and policy frameworks (Sentinel / OPA) to enforce governance at scale
• Architect and operate Kubernetes clusters across multiple cloud providers, including node pool management, autoscaling, networking (CNI/service mesh), and storage
• Define and manage cloud landing zones, account structures, networking baselines, and identity/access frameworks aligned to security standards
• Operate and evolve GitOps delivery pipelines using Flux
• Build, maintain, and optimize CI/CD pipelines with pipeline-as-code tooling
• Implement and maintain full-stack observability using platforms such as Dynatrace
• Define alerting strategies, runbooks, and on-call escalation paths; drive incident response and post-incident reviews
• Establish and track platform reliability metrics and lead initiatives to close gaps
• Build and maintain internal developer platform capabilities: self-service tooling, golden-path templates, shared libraries, and developer portals
• Collaborate closely with security, networking, and application engineering teams to align on standards and integrate platform capabilities into the SDLC
• Embed security controls into platform tooling and support compliance requirements

• Engineer and implement efficient, scalable systems
• Collaborate with teams to deliver solutions
• Implement improvements in stability, performance, and scalability
• Participate in change request processes
• Develop application scope and objectives and prepare specifications

• 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

Privileged Access Management – Platform Engineering Lead

• Design, build, and operate scalable ML platform components including training infrastructure, feature stores, model registries, inference services, and end‑to‑end workflow orchestration.
• Develop cloud‑native, distributed systems and CI/CD pipelines that ensure reliable, reproducible, and continuously delivered ML model deployments.
• Implement and mature MLOps capabilities such as experiment tracking, data and model versioning, model evaluation, monitoring, and automated retraining.
• Establish best practices for model lifecycle management, testing, and deployment across development, staging, and production environments.
• Integrate observability into ML systems, enabling deep visibility into performance, drift, data quality, and inference reliability.
• Build and optimize cloud-based ML infrastructure on Azure, AWS, and/or GCP using Kubernetes, container orchestration, and infrastructure‑as‑code tools.
• Develop scalable batch and real‑time data pipelines that power feature generation, training workflows, and high‑performance model serving.
• Ensure security, compliance, and cost-effectiveness across ML environments in partnership with platform, architecture, and governance teams.
• Collaborate with data scientists and applied ML teams to translate modeling needs into robust, reusable, and self-service platform capabilities.
• Work with security, compliance, and architecture partners to uphold responsible AI, governance, and data protection standards.
• Drive developer productivity by promoting self‑service tooling, reusable components, documentation, and engineering best practices.
• Contribute to Agile delivery processes while championing automation, engineering excellence, and continuous improvement.

Machine Learning Platform Engineer

• As a Senior Data Platform Engineer, you’ll be a hands-on engineer on a small, high-ownership data team.
• You’ll work across the full data platform - relational, warehouse, and lakehouse systems - building and operating the pipelines that power compliance, analytics, and reporting workloads.
• Design and build pipelines that move data across systems - supporting data lake ingestion, compliance workloads, and cross-domain data flows.
• Own pipeline operations end to end: monitoring, incident resolution, data quality, and documentation that lets any team member respond independently.
• Identify technical debt and reliability risks and raise them with clear context and proposed next steps.
• Design and maintain schemas across relational, warehouse, and lakehouse layers, working with application engineers and product to get data models right.
• Build out the platform’s service layer, infrastructure-as-code, and data quality frameworks - this role spans design and implementation.
• Keep platform documentation at a level where any team member can understand what exists, how it works, and where the risks are.
• Over time, contribute to the analytics engineering layer, including modeling practices and semantic layer development.
• Contribute to evaluations of the current platform against emerging architectures and tooling, helping produce trade-off analyses and recommendations.
• Bring what you see day to day in the systems you operate into the team’s improvement roadmap and technical direction.
• Track and report on platform health metrics: pipeline uptime, failure rates, data freshness, and cost trends.
• Mentor peers and junior engineers through code review, pairing, and technical guidance.

Senior Data Platform Engineer

• Own the end-to-end strategy, delivery, and operation of Product Runtime platform services aligned to enterprise and product objectives
• Lead, build, and develop high-performing engineering teams, including hiring, mentoring, performance management, and fostering a strong team culture
• Drive execution across the full lifecycle of platform capabilities, including design, development, deployment, operations, and continuous improvement
• Ensure high availability, performance, scalability, and security of critical infrastructure and platform services through measurable SLAs/SLOs and continuous monitoring
• Partner cross-functionally with product, engineering, security, and infrastructure teams to align on roadmap, priorities, and outcomes
• Drive business outcomes including platform adoption, reliability, security compliance, efficiency, and user satisfaction

Director, Platform Engineering – Product Runtime

• 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

• Act as a Qualys SME within a team of Qualys platform engineers
• Administer, configure, and optimize Qualys VMDR, Cloud Agents, and scanner operations
• Ensure reliable asset coverage, agent health, scan performance, and data quality
• Analyze vulnerability and compliance findings and partner with infrastructure teams
• Contribute to automation and integrations using Qualys APIs and scripting
• Support and enhance ServiceNow integrations for vulnerability intake
• Participate in platform monitoring, incident response, upgrades, change management, and root cause analysis
• Produce and maintain documentation, dashboards, and reporting

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