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

• 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

• 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 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 support complex Power Apps (Canvas and Model-Driven) used for operational and program management workflows
• Develop and maintain Power Automate workflows including multi-step approvals, routing logic, notifications, and exception handling
• Ensure workflows operate correctly in high-sensitivity client environments, where errors pose delivery and compliance risk
• Design clean, intuitive UI/UX that enables adoption by non-technical federal users
• Build applications that centralize program data, support historical records, and enable operational visibility
• Apply role-based access controls (RBAC) and security best practices in federal client environments
• Collaborate closely with stakeholders and account teams to refine requirements and iterate solutions
• Support deployment, user onboarding, and iterative enhancements

Junior Power Platform Developer

• Provide operational support for Proofpoint email security platforms including PPS, TAP, and TRAP/CTR
• Monitor platform health, alerts, and service performance
• Troubleshoot application and configuration issues
• Implement customer requests such as policy updates, routing changes, and feature enablement
• Act as an escalation point for complex customer and platform issues
• Participate in on ‑ call rotation and incident response
• Collaborate with Engineering and Professional Services during customer onboarding and transitions to steady ‑ state support
• Serve as the primary AWS Subject Matter Expert for the MTPS team
• Support and troubleshoot AWS infrastructure hosting Proofpoint services, including EC2 instances, Auto Scaling, VPCs, subnets, routing, and security groups
• Perform initial triage of AWS ‑ related incidents and coordinate escalation to internal infrastructure teams when required
• Validate infrastructure health during and after deployments led by Professional Services
• Support approved infrastructure changes following established change management processes
• Create and maintain AWS operational documentation and runbooks for MTPS
• Identify reliability, monitoring, and security gaps and recommend improvements

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