Platform Engineer

• Own day-to-day operations, readiness, and reliability of lab and demo environments.
• Maintain and support Kubernetes and containerized application deployments.
• Support on-prem lab infrastructure, virtualization platforms, virtual machines, and related network/storage dependencies.
• Support development teams by creating reusable deployment patterns, templates, documentation, and runbooks.
• Build, maintain, and improve CI/CD workflows using tools such as Jenkins and GitHub Actions.
• Troubleshoot issues across Linux systems, virtual machines, containers, Kubernetes resources, networking, DNS, TLS, ingress, and application runtime environments.
• Manage and support artifact repository workflows using tools such as Nexus or Artifactory.
• Maintain deployment documentation, environment standards, operational procedures, and troubleshooting guides.
• Help ensure customer demos, training environments, and prototype deployments are stable, prepared, and repeatable.
• Automate environment setup, validation checks, deployment steps, and routine operational tasks using Bash, Python, or similar scripting tools.
• Contribute to platform and deployment design discussions by recommending practical improvements and helping turn architecture direction into repeatable implementation patterns.
• Support basic security and compliance activities, including patching, vulnerability remediation, secrets management, TLS/certificate management, RBAC, least privilege, and secure configuration practices.

Platform Engineer II

• Architect and lead end-to-end development of Power Apps (Canvas and Model-Driven), Power Automate workflows, and Power BI semantic models and reports in GCC High/IL5 environments
• Design Dataverse data models, security roles, and business logic layers that align with federal data governance and RBAC requirements
• Build and maintain complex Power Automate cloud flows and desktop flows (RPA), including multi-stage approval processes, API integrations, and error-handling frameworks
• Develop and optimize Power BI semantic models using star schema design, DAX measures, and Row-Level Security (RLS) to deliver accurate reporting to federal stakeholders
• Own integration design between Power Platform and external systems via custom connectors, REST APIs, and Azure services (Logic Apps, Functions, Key Vault, Service Bus)
• Enforce FedRAMP High, ITAR, DFARS, and CMMC compliance standards throughout the development lifecycle
• Apply NIST 800-53 security controls to solution design, including data classification, audit logging, and least-privilege access patterns
• Configure and maintain DLP (Data Loss Prevention) policies, managed environments, and tenant-level governance controls in GCC High
• Lead security reviews of Power Platform solutions prior to authorization and deployment into production federal environments
• Serve as Delivery Lead for a cross-functional development team
• Define and enforce development standards, Definition of Done criteria, documentation practices, and code review processes in a regulated environment
• Lead and contribute to the Power Platform Center of Excellence (CoE) — establishing patterns, reusable components, and governance frameworks for the organization
• Mentor and guide junior and mid-level developers; conduct code reviews and provide structured technical feedback
• Manage ALM pipelines using Azure DevOps or GitHub Actions — automating solution promotion across dev, test, and production environments
• Engage directly with federal agency stakeholders and business owners to gather requirements, manage expectations, and present technical solutions clearly
• Produce and maintain solution architecture documentation, data flow diagrams, and ATO (Authorization to Operate) supporting materials
• Evaluate new Power Platform features and Microsoft roadmap items for applicability to federal mission needs

Senior Power Platform Developer

• Act as the primary technical interface to lead consultation and support on complex integrations leveraging Capital One APIs, File Transfers, Gateways, and integration services
• Actively support the full integration lifecycle to improve the partner experience based on user feedback
• Reduce integration friction and cycle times while safeguarding high-risk data flows in production environments
• Lead strategic projects advancing strategic mandates to expand services internationally and to new assets
• Evolve and enhance our team operations

Manager, Platform Engineer – Enterprise Product & Experience

• Manage a team of engineers
• Own 1:1s, performance reviews, and career development conversations
• Build a team culture that is organized, reliable, and focused on impact
• Be a strong technical contributor
• Own day-to-day technical decisions within the team's scope
• Translate architectural direction into sprint-level tasks
• Build and evolve CI/CD pipelines and delivery automation
• Improve observability and operational readiness across metrics
• Own incident response coordination
• Manage performance management

Lead Platform Engineer

• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security
• Build and maintain GitHub Workflows and internal developer tooling to improve engineering velocity
• Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Helm
• Define and enforce platform standards around observability, cost management, resource scaling, and proactive incident management
• Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks
• Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery

Senior Platform Engineer

• Manage a team of engineers with full accountability for their performance, growth, and wellbeing
• Own 1:1s, performance reviews, and career development conversations — providing direct, constructive feedback that helps engineers grow
• Build a team culture that is organized, reliable, and focused on impact
• Mentor engineers through code reviews, pairing, and delivery coaching
• Be a strong technical contributor: carry significant engineering weight alongside the team and actively deliver on high-impact work
• Translate architectural direction into sprint-level tasks the team can act on
• Build and evolve CI/CD pipelines and delivery automation: ensuring deployment safety, consistency, and velocity
• Improve observability and operational readiness across metrics, logging, distributed tracing, and alerting — including actionable dashboards and SLO-based alerting
• Design and implement automation and self-service workflows using infrastructure-as-code, APIs, and developer platforms to reduce developer friction
• Own incident response coordination: drive the process, communicate status, and ensure issues reach the right people
• Participate in the on-call rotation and help drive improvements that reduce incidents and alert noise over time
• Build and maintain operational runbooks, escalation paths, and documentation for team-owned systems
• Drive production readiness as a continuous standard, not a one-time checklist

Engineering Lead, Platform Engineering

• Guidehouse is looking for a highly skilled Power Platform Architect who can translate complex business requirements into scalable, high-performance Power Apps solutions.
• Collaborate with stakeholders to understand business needs and develop technical solutions using the Power Platform.
• Lead the design and architecture of Power Apps solutions, including canvas apps, model-driven apps, and custom connectors.
• Define technical standards, best practices, and guidelines for Power Apps development within the organization.
• Provide technical leadership and mentorship to a team of developers and Power Platform specialists.
• Conduct architecture reviews, code reviews, and performance optimization for Power Apps solutions.
• Design integrations between Power Apps, Microsoft 365 services, third-party applications, and data sources.
• Oversee the implementation and deployment of Power Apps solutions while ensuring scalability, security, and maintainability.
• Collaborate with cross-functional teams to ensure alignment of solutions with overall business objectives and IT strategy.
• Stay updated on the latest advancements in the Power Platform and evaluate their applicability to the organization.

Lead Power Platform Developer – Architect

• Design, architect, document, and lead the development of AI/ML platform components and agentic AI applications
• Implement and optimize cutting-edge AI/ML algorithms and production-quality code, primarily using Python and possibly Go, C, C++, or Rust
• Build and deploy container-based applications to platforms like Red Hat OpenShift, public clouds (AWS, GCP, Azure), leveraging CI/CD best practices and MLOps infrastructure
• Stay current with advancements in Generative AI and related technologies, conduct root cause analysis
• Architect and maintain data pipelines that feed training data, model artifacts, and inference logs into a governed data lake (S3, on prem object store)
• Design, implement, and operate a unified MLOps platform that supports both on-premises and commercial cloud platforms hosted Kubernetes clusters
• Work closely with research scientists, data scientists, product teams, and stakeholders

AI 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

• Lead the technical delivery of a centralized DLP platform that standardizes how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the program
• Design and build platform services using Python, AWS serverless and container infrastructure (ECS Fargate, Lambda, Step Functions, Aurora PostgreSQL, EventBridge), and infrastructure as code (CDK)
• Define interface contracts between platform components and existing production systems, ensuring clean integration boundaries
• Make architectural trade-offs that balance delivery speed, operational reliability, and regulatory defensibility
• Drive engineering decisions on schema design, API boundaries, deployment strategy, and platform lifecycle management
• Partner with DLP policy experts to translate data protection requirements into platform capabilities that produce consistent, auditable outcomes
• Establish engineering practices for the platform: CI/CD pipelines, testing strategy, deployment automation, observability
• Manage dependencies on adjacent teams and systems, unblocking delivery when external integration points stall
• Communicate platform strategy and progress to senior leadership, translating technical decisions into business impact
• Grow into people leadership as the team expands, building engineering culture and developing talent

Manager, Security Platform Engineering, DLP Control Platform

• Apply engineering principles to the design, enhancement, and operation of Azure Data and AI platform services.
• Research, procure, deploy, configure, and support Azure Data and AI resources including platform dependencies.
• Provide technical leadership in the architecture, design, and development of enterprise Azure Data and AI solutions.
• Ensure the security and integrity of system and product solutions through secure-by-design architecture.
• Anticipate and adjust for potential impact of platform changes, upgrades, and new service capabilities.
• Anticipate, investigate, and resolve data platform performance and reliability issues by collaborating with Azure Infrastructure teams to identify root causes and implement improvements.
• Provide guidance and technical support to customers onboarding applications to the Azure platform, assisting with Azure data service selection and usage to enable successful business outcomes.
• Implement and enhance monitoring, logging, and alerting for Azure Data and AI platforms to support operational excellence and proactive issue detection.
• Document new platform components and modifications to existing services and publishing standards.
• Engineer Infrastructure as Code (IaC) deployments for Azure Data and AI resources.
• Present clear, organized, and concise technical information to enable business decisions.
• Lead, guide, and mentor less experienced engineers.
• Participate in on-call rotation to provide support for business applications during business and off‑business hours.

Principal Platform Engineer – Azure Data, AI

• 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

• Design, build, and deploy Microsoft Copilot Studio agents—including topics, knowledge sources, generative orchestration, authentication, and content moderation—that automate enterprise workflows across the bank
• Develop and maintain custom Power Platform connectors and MCP (Model Context Protocol) servers that securely expose internal banking systems and APIs to Copilot Studio agents and Power Platform makers
• Architect and govern Dataverse solutions—tables, relationships, security roles, business rules, plug-ins, and elastic tables—serving as the system of record for Copilot Studio agents and Power Apps
• Build agent tools, plug-ins, and reusable components in C# and .NET 10 to extend Copilot Studio with custom business logic, API integrations, and AI orchestration patterns (tool calling, RAG, declarative agents)
• Operate Power Platform Application Lifecycle Management (ALM) at scale—managed environments, solution packaging, the ALM Accelerator, Power Platform CLI (pac), and pipelines integrated with GitHub Actions
• Implement responsible AI governance—DLP policies, environment strategy, agent telemetry, evaluation harnesses, content safety, and grounding—ensuring compliance with bank security and regulatory standards
• Partner with software, data, and AI engineers to integrate Azure OpenAI, Azure AI Foundry, and Azure AI Search into Power Platform and Copilot Studio solutions, including knowledge ingestion and retrieval pipelines
• Mentor pro-code and citizen developers on Copilot Studio patterns, Power Platform ALM, secure coding, and AI engineering best practices; champion compliance with change management and SDLC standards.

• 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

• Design, configure, and implement ServiceNow solutions aligned with business requirements and ITIL best practices.
• Develop and customize modules, applications, workflows, and integrations within the ServiceNow platform.
• Translate functional and technical requirements into effective, scalable ServiceNow configurations.
• Build and maintain custom scripts, UI policies, client scripts, business rules, and automation workflows.
• Collaborate closely with product owners, process owners, and cross‑functional teams to enhance platform capabilities.
• Troubleshoot issues, perform root‑cause analysis, and deploy fixes and enhancements.
• Ensure documentation is created and maintained for configurations, customizations, and development work.
• Follow governance, security, and development standards to maintain a stable and compliant ServiceNow environment.
• Identify opportunities to improve processes through automation and platform features

Platform Developer

• Monitor, maintain, and optimize Azure cloud infrastructure to ensure high availability, scalability, and performance of enterprise applications.
• Troubleshoot and resolve operational issues related to Azure services, DevSecOps tools, and CI/CD pipelines in production and pre-production environments.
• Configure and manage Azure resources, including virtual machines, storage accounts, networking components, Azure Container Registries, and Key Vault integration for secure resource management.
• Support the deployment and operation of DevSecOps tools, including GitHub Advanced Security (CodeQL, Dependabot, SBOM), GitHub Workflows, and Visual Studio Code/Enterprise for development and pipeline automation.
• Implement and maintain security tools such as Trellix, Invicti, and Anchore to ensure compliance with DoD cybersecurity standards.
• Manage Windows Server environments, including general administration, policy enforcement, client-side domain joins, and troubleshooting SCCM-related issues affecting servers.
• Manage Linux (RHEL, Ubuntu) environments for current and future server and appliance deployments.
• Use Azure CLI and PowerShell scripting to automate operational tasks and streamline resource management.
• Review Azure Monitor analytics and Azure portal logs to identify and remediate subscription and resource issues.
• Manage containerized workloads using Docker and Azure Container Registries for image management and deployment.
• Implement automated monitoring, logging, and alerting systems using Azure Monitor, Log Analytics, and Application Insights.
• Collaborate with development and engineering teams to ensure seamless integration of applications, including SQL integration, into Azure environments.
• Apply security best practices, including configuring Azure Security Center policies, managing role-based access control (RBAC), and ensuring compliance with DoD standards.
• Assist in the automation of operational tasks using Infrastructure-as-Code tools like Terraform or Bicep.
• Participate in incident response, root cause analysis, and post-incident reviews to improve system reliability.
• Provide helpdesk support by taking ownership of tickets in the Remedy ticketing solution, resolving issues, and managing incidents to ensure timely resolution and user satisfaction.
• Document operational processes, configurations, troubleshooting procedures, and helpdesk resolutions for knowledge sharing and audit compliance.
• Contribute to Agile processes, including sprint planning, backlog grooming, and daily stand-ups, to align operational support with project goals.

• develop, manage, and secure a container platform that meets client needs
• develop container management software to solve client challenges
• support team in informing strategy and design
• ensure standards are met throughout the containerization process
• recommend resources for clients to manage and adopt containers
• continue to strengthen DevOps skills while developing critical cloud platforms

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Principal AI Platform Engineer – AI Center of Excellence

• 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

See all jobs on JobTailor

Platform Engineer II

Senior Power Platform Developer

Manager, Platform Engineer – Enterprise Product & Experience

Lead Platform Engineer

Senior Platform Engineer

Engineering Lead, Platform Engineering

Manager, Platform Engineer – Enterprise Product & Experience

Lead Power Platform Developer – Architect

AI Platform Engineer

Lead Full-Stack Platform Engineer – KFI Data Platform

Manager, Security Platform Engineering, DLP Control Platform

Principal Platform Engineer – Azure Data, AI

Lead Platform Engineer, Workday

AI Platform Engineer

Senior Platform Engineer

Platform Developer

Senior Platform Engineer

Platform Engineer

Principal AI Platform Engineer – AI Center of Excellence

Lead Platform Engineer