Platform Engineer

• Meet annual billable hour goal, as defined by HBS.
• Provide 6 hours/week of support for project and escalated incident management tickets for current customers with focus on customer satisfaction and quality.
• Work with business leaders outside of IT to develop solutions.
• Introduce innovation to profitably grow each client’s business.
• Cultivate effective communication with others throughout all levels of the organization.
• Communicate key messages at both Executive and technical leadership levels.
• Be a thought leader on the team in designing, coding, unit testing software.
• Lead development activities using cutting edge technologies to match the fit for our customer from a time, budget, and technical needs.
• Estimate development effort required to deliver small and large projects.
• Mentor other developers in developing scalable, secure, responsive applications.
• Follow Agile development practices for delivering software components.
• Design reusable services and components to build composite applications.
• Provide leadership role in designing applications for our customers.
• Lead pre-sales activities including meeting prospective clients and using your expertise to highlight how Microsoft technologies can solve everyday problems; follow-on presales activities will include solution design, proposal writing, and project estimating.
• Dedicate time to researching, evaluating, and integrating new technologies related to Microsoft applications (SharePoint, Power Apps, Dynamics365 for Sales, and the broader suite of Microsoft productivity applications).

Senior Power 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

• Lead complex initiatives to develop infrastructure to provide solutions for business applications
• Participate in various projects intended to continually improve or upgrade the infrastructure
• Evaluate internal and external software solutions which could be leveraged to meet target state architecture goals
• Review and analyze high impact outages to ensure the proper processes and procedures are in place to avoid problems in the future
• Design, build, deploy and maintain infrastructure solutions through collaborative efforts with the team and third party vendors
• Design, code, test, debug and document programs using Agile development practices
• Make decisions in technical designs, implementation plans and identify project risks and resource requirements
• Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success
• Recommend courses of action to maintain cost effectiveness and achieve results
• Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals
• Interact with customer and vendor

Lead Infrastructure Platform Support 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

• Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads (Iceberg/Trino, ETL pipelines, Kubeflow/MLflow)
• Design, deploy, and maintain EKS-based services and Kubernetes workloads
• Build and manage Terraform infrastructure across environments (dev/staging/prod)
• Design and maintain CI/CD pipelines for infrastructure and application deployment (GitLab/GitHub)
• Operate and improve Kafka/Redpanda clusters
• Improve reliability, observability, and performance of prediction services
• Support Dagster for data workflow orchestration
• Collaborate with Data Science, ML Engineering, and Data Engineering to productionize models and data pipelines
• Strengthen AWS IAM, networking, and connectivity between cloud and on-prem systems
• Support cyber hardening efforts with our RTX cyber team
• Identify and incrementally improve existing infrastructure and deployment patterns

Principal Platform Engineer – Connected Aviation

• Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
• Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
• Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
• Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
• Ensure adherence to compliance and legal regulations and policies on all projects managed
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Senior Lead Microsoft Power 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

• 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

• Serves as the primary owner and administrator for assigned data platforms.
• Architects, configures, and maintains applications to align with business and technical requirements.
• Establishes best practices for system administration, performance optimization, risk management, and security.
• Maintains a platform road map and works with leadership to prioritize enhancements and upgrades.
• Provides expert-level application and system support to internal teams and user communities.
• Diagnoses, troubleshoots, and resolves complex application issues; escalates to infrastructure support or vendor teams as necessary.
• Performs root cause analysis and implements preventative measures to ensure system reliability.
• Maintains ownership of all assigned issues through resolution and documentation.
• Designs and implements integrations between data platforms and other enterprise systems.
• Evaluates and enhances system architecture to meet changing business needs.
• Conducts performance monitoring and tuning, ensuring optimal uptime and resource utilization.
• Defines and tracks KPIs, SLAs, and other operational metrics in collaboration with stakeholders.
• Develops and deploys automation scripts and tools to improve efficiency and reduce manual workloads.
• Leads or participates in automation and optimization projects across the data platform ecosystem.
• Researches, evaluates, and recommends third-party applications that align with business objectives.
• Ensures successful installation, validation, and documentation of vendor-provided upgrades and patches.
• Monitors license usage, forecast needs, and manage compliance with licensing agreements.
• Provides metrics and budget recommendations during annual planning cycles.
• Develops and maintains comprehensive documentation, including policies, procedures, and configuration details.
• Delivers user training sessions and promote best practices to drive adoption and proficiency.
• Provides timely and accurate reporting on application of health, performance, and project status.
• Manages projects involving new functionality, integrations, and process automation.
• Supports the organization’s data security, privacy, and compliance initiatives.
• Implements and maintains security standards, access controls, and audit readiness.
• Ensures systems adhere to company policies and industry best practices.

Senior Data Platform Support Engineer

• Ensure high availability, performance, and security of production systems across Windows, Linux, and cloud environments.
• Engineer and support workloads including containerized workloads using Kubernetes and Docker, enabling scalable microservices architectures.
• Lead infrastructure provisioning and configuration using Terraform, Ansible, and cloud-native tools.
• Develop automation scripts and pipelines to eliminate manual toil and accelerate incident response.
• Implement observability frameworks using SLIs/SLOs, Prometheus, Grafana, and GCP Operations Suite.
• Drive proactive monitoring, alerting, and telemetry across hybrid environments.
• Lead incident response, root cause analysis, and postmortems.
• Build self-healing systems and automated remediation workflows using cloud-native services and scripting.
• Collaborate with InfoSec to enforce hardening standards, manage vulnerabilities, and support compliance initiatives.
• Partner with developers, application owners, and infrastructure teams to deliver reliable, cloud-native platforms.

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Senior Power Platform Engineer

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Director, Platform Engineering – Product Runtime

Lead Software Engineer – GPU Platform Engineer

Senior Data Platform Support Engineer

Senior Engineer – Platform Engineering

Principal Platform Engineer – Connected Aviation