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

• 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

• Serve as a senior technical owner for Linux server operating systems, with deep expertise in Red Hat Enterprise Linux 9 and 10.
• Define, maintain, and evolve Linux platform standards, including build standards, configuration baselines, hardening guidelines, and lifecycle strategies.
• Create and maintain product roadmaps that align Linux platform capabilities with business, security, and regulatory requirements.
• Research, evaluate, and experiment with emerging Linux related technologies, determining their applicability and value to the enterprise.
• Translate evaluated technologies into tested, documented, and repeatable platform solutions, including proofs of concept and pilot implementations.
• Lead solutions from concept through pilot and into full enterprise adoption, working with provisioning, security, and operations teams as needed.
• Design and maintain server build templates and reference architectures used by downstream provisioning teams.
• Produce clear, high quality documentation, including standards guides, configuration guides, hardening guides, and standard operating procedures, with the intent of enabling scale rather than performing operational execution.
• Ensure the Linux platform remains secure, current, and sustainable over time.

Senior Technology Engineer – Linux Platform

• 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

• install, configure, secure, administer, and monitor SQL Server infrastructure (on-prem and Azure: IaaS, PaaS, SaaS)
• provide production support and participate in a 24x7 on-call rotation
• troubleshoot issues, document procedures, and guide Root Cause Analysis and resolutions
• develop and implement backup, recovery, and database management strategies, including upgrades and patches
• support Agile/Scrum processes, including sprint planning, backlog grooming, and retrospectives
• mentor team members, foster collaboration, and serve as technical lead on projects
• research and recommend SQL Server/Azure technologies, addressing risks and integrating automation and monitoring tools

Senior Data Platform Engineer

• Design and build scalable, distributed data platforms on AWS supporting AI and analytics workloads
• Develop and optimize modern data storage systems using technologies like Apache Iceberg and Databricks
• Build cloud-native platform services and applications, primarily in Python
• Design and maintain CI/CD pipelines and automated deployment workflows using GitHub
• Operate and improve production cloud environments, ensuring high availability, performance, and reliability
• Troubleshoot and resolve complex issues across data platforms, infrastructure, and applications
• Implement automation and infrastructure-as-code solutions to improve scalability and efficiency
• Optimize storage performance, data access patterns, and system throughput
• Contribute to disaster recovery, backup strategies, and system resilience
• Establish and enforce engineering standards, configuration best practices, and operational processes
• Partner with engineering and product teams to deliver quarterly platform capabilities and roadmap initiatives
• Mentor engineers and contribute to a high-performing, collaborative team environment
• Work with modern AI-assisted development tools including Copilot and Claude

Senior Platform Engineer – Data Platform

• Install, configure, secure, administer, and monitor SQL Server infrastructure
• Provide production support and participate in a 24x7 on-call rotation
• Troubleshoot issues and guide Root Cause Analysis
• Develop backup, recovery, and database management strategies
• Support Agile/Scrum processes
• Mentor team members and foster collaboration
• Research and recommend SQL Server/Azure technologies

• 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 frontend architecture for enterprise web and mobile applications using React, Next.js, and React Native.
• Design scalable, modular, reusable UI components aligned to the enterprise Design System and component governance strategy.
• Architect and implement integrations with Sanity.io headless CMS for structured, multilingual, and dynamic content delivery.
• Design and implement secure authentication and identity flows leveraging FusionAuth, OAuth2/OIDC, MFA, SSO, and role-based access controls.
• Define frontend platform standards for performance, scalability, accessibility, resiliency, and security.
• Drive adoption of modern frontend architecture patterns including SSR/ISR, edge rendering, micro frontends, and Progressive Web Application (PWA) capabilities.
• Define and implement frontend observability standards including telemetry, error tracking, performance monitoring, distributed tracing, and user experience analytics.
• Collaborate with Product, UX, Engineering, AI/ML, and Data teams to translate business requirements into scalable technical solutions.

Principal Frontend 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 platform architecture review and integration design
• Own full documentation lifecycle
• Serve as the primary technical point of contact
• Mentor mid-level team members
• Define monitoring and alerting standards
• Troubleshoot connectivity issues

Senior AgileSec Analytics Platform Engineer – Lead

• Design and implement a frontend platform architecture that supports multiple independently deployed modules (micro frontends) within a single cohesive application
• Lead the development of shared frameworks, tooling, and infrastructure used across teams
• Define and enforce best practices for scalability, performance, and maintainability
• Architect solutions for shared components, state management, design systems, and dependency management
• Evaluate and implement micro frontend strategies (e.g., module federation, single-spa, build-time integration)
• Establish patterns for cross-team collaboration while minimizing tight coupling between systems
• Own decisions around routing, communication, and integration between micro frontends
• Build and optimize frontend build systems, deployment pipelines, and dependency graphs
• Ensure platform-level concerns such as authentication, observability, error handling, and resilience are properly designed
• Mentor engineers and guide teams in adopting platform standards and architectural best practices
• Implement secure coding best practices and participate in ongoing security training and awareness

Senior Frontend 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.

• Own and operate core data platform components, with emphasis on Databricks and supporting Azure services
• Build and maintain CI/CD and environment standardization using Azure DevOps and infrastructure-as-code
• Implement observability and maintain operational runbooks
• Execute platform releases and upgrades while minimizing disruptions
• Enable MLOps capabilities in partnership with Data Science and engineering teams
• Implement governance, security, and compliance standards through platform guardrails and clear documentation
• Support FinOps by monitoring usage and identifying optimization opportunities
• Monitor platform health, resolve incidents, and drive problem management
• Define, track, and report operational KPIs and drive continuous improvement through automation and standardization
• Provide operational support during standard business hours, with planned maintenance and documented processes

• 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

• Own Azure DevOps pipelines (YAML or classic) for data/AI workloads (Fabric/Synapse, ADF, Databricks, APIs), infrastructure automations, and Dynamics/Power Platform ALM.
• Implement environments, approvals, variable groups, artifact/versioning, rollback strategies, and Key Vault integration.
• Establish branching & PR policies, quality gates, and reusable pipeline templates/runbooks that reduce toil and cycle time.
• Lead landing zone and environment strategy across subscriptions/resource groups (naming, tagging, policies/guardrails).
• Oversee networking & connectivity (VNets, Private Endpoints, Firewall, hybrid links), identity & access (Entra ID, RBAC, PIM, Conditional Access), and platform services (Storage/ADLS, Key Vault, Event Hub, Functions, API Management).
• Drive observability (Azure Monitor, Log Analytics, App Insights, KQL), SLOs/error budgets, alert hygiene, and incident response/postmortems.
• Partner with Finance on FinOps by providing technical usage insights, budgets/alerts, and optimization data, without owning reconciliation.
• Drive adoption of Microsoft Cloud assets with a focus on best-practice implementation and long-term scalability.
• Architect secure patterns for Microsoft Fabric/Synapse/Lakehouse, ADF orchestration, and Databricks (jobs, clusters, secrets).
• Enable ML/AI/GenAI delivery: model/package promotion, MLOps (MLflow/registry), AI Search/vector stores, Azure OpenAI integration, and data protection (PII, RLS/CLS).
• Perform design reviews with Data Engineering and Analytics to ensure performance, resiliency, and governance.
• Own CSP technical and support operations across all Microsoft Cloud subscriptions: Azure, Microsoft 365, Dynamics 365, Power Platform, and Security/Compliance.
• Manage customer/tenant onboarding to our customer-facing CSP portal, licensing setup, and subscription lifecycle support in Partner Center.
• Implement secure access patterns (GDAP, Azure & M365 Lighthouse, delegated administration) and maintain least-privilege controls.
• Build and maintain operational runbooks, automation, and monitoring for CSP activities via Partner Center APIs and tools.
• Provide technical insights to Finance for cost visibility and optimization but leave billing/reconciliation to Finance.
• Support customer trust through incident handling, audit readiness, and compliance with Microsoft program requirements.
• Ensure correct CPOR, DPOR, and PAL associations are set up for all client-facing environments, working closely with Armanino's Sales teams, internal Microsoft Program Manager and AI Practice lead to guarantee accurate partner attribution for Microsoft incentives and compliance.
• Maintain leadership on Dynamics 365 & Power Platform ALM: solution control, environment strategy (dev/test/uat/prod/sandbox), wave planning, and Synapse Link/Fabric integration guardrails.
• Align change management with business cadence and coach systems engineering on day-to-day execution.
• Implement automation strategies to enhance efficiency across Dynamics products.
• Manage the Cloud & AI Platform Engineer (prioritization, growth, and delivery outcomes).
• Coach Systems Engineering on SOPs/runbooks, reliability engineering, and continuous improvement.
• Lead operational reviews; set goals for deployment success rate, MTTR, and automation coverage.
• Own the strategy and governance for all lab and development environments across Microsoft Cloud services, ensuring secure access, compliance with policies, and alignment to enterprise guardrails.
• Implement controls for isolation, least-privilege, cost containment, and lifecycle management of non-production environments.

Senior Data & AI Platform Engineer

• Support day-to-day operations for cloud data platforms (workspace/project setup, access requests, basic configuration, troubleshooting).
• Assist with platform hygiene: organizing environments, documenting standards, and improving repeatability.
• Help implement and maintain guardrails (naming/tagging conventions, access patterns, basic cost awareness).
• Contribute to CI/CD workflows for data and analytics assets (pipelines, jobs, semantic models, reports), under mentorship.
• Help maintain reusable templates/checklists for deployments (approvals, promotion steps, rollback notes, release documentation).
• Assist teams with onboarding and “how-to” enablement across a core platform (Fabric or Snowflake or Databricks) plus a BI tool (Power BI or Tableau).
• Support basic performance triage (query/job failures, refresh issues, common workspace capacity constraints) and escalate effectively when needed.
• Help build and maintain runbooks (standard operating procedures, known issues, quick fixes, escalation paths).
• Participate in incident response support (triage, notes, follow-ups) and contribute to preventative improvements.
• Follow and reinforce least-privilege access practices and secure secret handling (e.g., Key Vault/secret scopes where applicable).
• Assist with data governance basics (PII handling expectations, row-level access concepts, environment separation).

Data & AI Platform Engineer

• Define and maintain golden paths for service creation, including service templates, starter kits, and scaffolding tools that let teams go from zero to production-ready with minimal friction
• Own developer onboarding workflows and maintain high-quality platform documentation
• Establish and evolve CI/CD pipeline standards across the organization
• Design release automation patterns, including rollout safety mechanisms such as canary deployments, progressive delivery, and automated rollbacks
• Build and maintain internal platform portals, reusable infrastructure modules, and paved-road workflows
• Enable product engineering teams to provision resources, configure environments, and ship features independently without reliance on other teams
• Champion platform adoption through clear documentation, enablement sessions, and a consultative approach
• Measure developer satisfaction and platform adoption metrics to continuously improve the experience
• Partner with product engineering, infrastructure, and operations teams to ensure platform tooling meets cross-platform needs
• Translate engineering pain points into scalable platform capabilities• Embed security and compliance requirements such as SOC2 and PCI-DSS into platform tooling and CI/CD pipelines

• Design, build, and operate large-scale, on‑premises GPU infrastructure
• Lead advanced Linux system administration and platform initiatives
• Architect, deploy, and operate containerized GPU workloads using Kubernetes and related tooling
• Manage, optimize, and troubleshoot NVIDIA GPU environments at scale
• Support and improve cluster scheduling, capacity planning, and resource management
• Diagnose and resolve complex, cross-cutting, or poorly defined infrastructure issues
• Collaborate closely with application, research, and infrastructure teams to enable GPU workloads and drive platform adoption
• Take ownership of complex or ambiguous problems and drive them to resolution
• Provide technical guidance, mentoring, and occasional leadership on platform design and operational decisions
• Influence platform direction through hands-on expertise, architectural input, and operational insight
• Drive continuous improvements in platform reliability, scalability, performance, and operational excellence

Lead Software Engineer – GPU Platform Engineer

• Own three to five concurrent Platform Engineering programs end to end: charter, plan, execute, close
• Drive programs that cross team boundaries
• Maintain program-level risk registers, decision logs, and status artifacts
• Manage the vendor accountability lifecycle
• Drive vendor transitions through contractual closeout
• Run Platform Engineering Kanban ceremonies and the Architectural Review Board
• Produce reporting that feeds Platform Engineering staff meetings

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