Platform Engineer

• Define and execute the enterprise Platform Engineering strategy supporting Consumer Products and Corporate Technology.
• Lead the evolution of engineering platforms that improve developer experience, platform consistency, scalability, and operational efficiency.
• Establish enterprise standards for platform architecture, engineering automation, and software delivery.
• Drive adoption of Internal Developer Platforms (IDPs), Infrastructure as Code, cloud platform engineering, Kubernetes, container platforms, release engineering, environment management, artifact repositories, secrets management, observability platforms, and platform networking.
• Build reusable engineering capabilities that enable product teams to deliver software securely and efficiently.
• Leadership, People Management, Budget & Vendor Management

Senior Director, Autonomous Platform Engineering

• Experience as a Power Apps developer utilizing “model-driven” design
• Develop client-facing website and forms utilizing PowerApps Portal
• Maintain application baseline in 3 environments (Dev/Stage/PROD)
• Work with the Enterprise Architecture team to perform process modelling and develop data validation processes
• Work with system stakeholders to capture data requirements for each process model
• Ensure application processes stay in sync with business processes
• Participate in Scrum ceremonies, including sprint planning, review, and retrospective meetings
• Assist the Business Analyst in the development and technical evaluation of requirements

Power Platform Developer, Model-driven

• At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers.
• We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS), programming skills in languages like Python or Go, and a strong Linux foundation.
• Will significantly contribute to the development of custom software components and integration of open-source code to address complex problems through the use of cutting edge Big Data / Cloud technology.
• The candidate will be expected to work autonomously identifying and solving problems quickly while working toward broader strategic goals set by Architects on the team.
• Work is performed in a hybrid role on a regular basis.
• Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times
• Develop and maintain Vultr’s bare metal automation and management toolkit
• Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols
• Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency
• Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products
• Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management
• Architect and implement VPC networking for bare metal instances, including network attach and routing automation
• Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Platform Engineer – Bare Metal

• Build and maintain full stack features in our JavaScript and python-based applications
• Improve and maintain our CI/CD pipelines (Bitbucket Pipelines)
• Automate infrastructure tasks and deployment workflows using Infrastructure as Code (IaC) tools
• Help monitor and support AWS-based services
• Collaborate on improving system observability (e.g., Sentry, CloudWatch)
• Participate in security and compliance initiatives (SOC 2, ISO 27001)
• Manage developer access, backups, and recovery planning
• Work closely with teammates across product, engineering, and operations

Full Stack Platform Engineer

• Champion a "platform as a product" mindset, regularly gathering feedback from engineering teams and iterating to improve the developer experience
• Design, build and maintain scalable, reliable infrastructure on Google Cloud to support our growing product needs
• Collaborate closely with developers to streamline local and CI/CD workflows, and champion platform best practices
• Evolve our observability stack - ensuring teams have the monitoring, logging and alerting they need to move quickly and confidently
• Implement and maintain secure-by-default patterns for networking, secrets management, IAM, and workload isolation
• Accelerate and complete the adoption of infrastructure-as-code (IaC) and GitOps to achieve consistent and auditable infrastructure changes

Senior/Staff Platform Engineer

• Work with senior leadership to address project dependencies, negotiate and estimate incremental delivery dates for milestones with the stakeholder community, and deliver projects on time
• Lead the File Exchange Platform team responsible for GEICO's tier-1 secure file transfer service (~3M monthly transfers).
• Drive modernization from ticket-based operations to a self-service portal, and CMDB-driven self-certification, deliver high availability and geo-distributed resiliency across data centers, and meet NYDFS/PCI compliance and vulnerability SLAs while reducing onboarding cycle time and support burden.
• Lead the UPE team that defines the paved road for PaaS service providers — Platform SDKs (Python, Go, TypeScript, Java), Platform Client UI/UX, IaC as a Service.
• Standardize onboarding, provisioning, deployment, and lifecycle management across public and private cloud; drive onboarding user experience; and deliver blueprint-IaC solutions for consistent, defect-free service integration.
• Drive shared engineering outcomes with UCP partners — advancing UCP to a production-ready tier-1 platform with audit trails, observability-as-code, governance and FinOps integration.
• Identify and raise appropriate project risks, in addition to presenting detailed and implementable solutions or alternatives
• Report on your team's progress for project and other key metrics, in addition to presenting detailed and implementable ideas for areas to further improve or influence product or project delivery
• Cultivate a culture that motivates all levels of performers to higher levels of achievement
• Build and maintain relationships with your team members to support an environment of trust
• Develop the team budget and be accountable for reporting on results achieved at regular intervals

Senior Manager, Staff SW Engineering – Platform Engineering

• Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.
• Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews.
• Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale
• Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale
• Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas.
• Able to design innovative strategies and ways of working to create a better environment for the end users
• Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area.

Senior Gen AI Platform Engineer

• Develop low code no code solutions using Power Platform tools within the Army 365 tenant
• Provide Power Platform developer support to a dynamic organization supporting the Army
• Engage with project manager, developers, and customers to understand project requirements and manage customer expectations
• Define and communicate technical project plans, roadmaps, and schedules
• Author and edit technical project documentation and reference materials

Power Platform Developer

• 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

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