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

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Designing, building, and operating cloud platform and DevOps capabilities across AWS and GCP
• Enabling reliable, secure, and scalable delivery by developing Kubernetes and Infrastructure-as-Code foundations
• Building and maintaining CI/CD pipelines
• Driving automation, observability, and operational best practices across engineering teams

Senior Engineer, Internal Developer Platform

• 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

• Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies
• Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems
• Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications
• Complete the development and deployment of AI models and algorithms to solve complex problems
• Stay updated on advancements in AI research and technology to guide initiatives
• Foster a culture of innovation, collaboration, and continuous learning within the team
• Coach, support, and provide mentorship for team members
• Champion ethical AI practices and ensure compliance with regulatory standards
• Address issues related to data privacy, security, and biases in AI systems
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
• Support and comply with the company’s Quality Management System policies and procedures
• Maintain regular and reliable attendance
• Ability to act with an inclusion mindset and model these behaviors for the organization

Lead AI Platform Engineer

• Design, build, and operate cloud platform and DevOps capabilities across AWS and GCP.
• Enable reliable, secure, and scalable delivery by developing Kubernetes and Infrastructure-as-Code foundations.
• Build and maintain CI/CD pipelines.
• Drive automation, observability, and operational best practices across engineering teams.

Lead Engineer, Internal Developer Platform

• Join the Dynamics 365 team as a cross-domain engineer.
• Be a key technical contributor in Dynamics 365, Power Apps, and Office365 projects, focusing on backend development.
• Provide support for project and escalated incident management tickets.
• Work with business leaders to develop solutions.
• Mentor other developers in developing scalable, secure, responsive applications.
• Follow Agile development practices for delivering software components.
• Lead pre-sales activities including meeting prospective clients and proposal writing.
• Research, evaluate, and integrate new technologies related to Microsoft applications.
• Delight clients by delivering Microsoft-based solutions that simplify their business processes.
• Build lasting customer relationships based on exceptional customer service.

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

• Lead an engineering organization of approximately 40–60 engineers and contractors, including engineering managers, with accountability for staffing, performance, and delivery outcomes.
• Own operational and delivery results for mission-critical platforms, with a strong focus on stability, resiliency, availability, and regulatory compliance.
• Provide technical leadership across mainframe and distributed systems, supporting teams during complex delivery challenges, production incidents, and escalations.
• Drive execution of large, high-visibility initiatives, ensuring predictable delivery, transparency, and effective risk management across competing priorities.
• Lead and advance modernization efforts, including modernization on or off the mainframe, while maintaining uninterrupted business operations.
• Strengthen engineering practices through sound design decisions, quality standards, and a culture of continuous improvement.
• Develop and coach engineering managers and senior engineers, with a focus on career development, upskilling, and succession planning.
• Build strong partnerships with product, architecture, operations, and business leaders to align technology delivery with business priorities.
• Champion agile and product-oriented delivery models while maintaining accountability for results.

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