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

• Write and Maintain Software Solutions : Design, write, test, and deploy high-quality code to develop reliable, maintainable software solutions.
• Collaborate with Cross-Functional Teams : Work closely with platform engineers, product teams, and data scientists to ensure technical solutions effectively support business goals and content strategies.
• Production Support : Monitor and optimize production systems, ensuring platform stability, performance, and uptime.
• Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning.

Senior Software Engineer – Content 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

• 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

• Drive Enterprise Hierarchies M2-M3 to completion, partnering with the platform architect to define data models, account structures, and system dependencies, then translating those decisions into implementation-ready specifications
• Own all processor certification work with full accountability for external deadlines you cannot negotiate
• Manage PCI DSS compliance requirements and translate them into actionable engineering work
• Build and maintain a quarterly product backlog that sequences platform work based on external deadlines, dependencies, and cost of delay
• Lead backlog refinement sessions, ensuring platform stories have unambiguous acceptance criteria that reflect processor specifications and compliance requirements
• Own external processor relationships, be the single point of contact for certification requirements and timeline management
• Coordinate cross-domain dependencies (Hierarchies enables merchant structures and partner account growth)
• Present platform roadmap to leadership showing how infrastructure work connects to company revenue and growth objectives

Product Manager, Platform Infrastructure – Compliance

• Participate in the design, development, and service/operation of the enterprise pro-code AI agent platform on Azure, including Foundry integrations.
• Develop highly available, scalable, and reproducible Azure environments scripts using Infrastructure as Code (Terraform);
• Implement CI/CD pipelines for platform components and configurations.
• Implement robust controls across identity (RBAC) and policy guardrails aligned to enterprise and regulatory standards.
• Operationalize Microsoft Foundry and related AI/ML services to enable agentic applications and create run-books for development teams.
• Establish comprehensive monitoring, logging, tracing, and alerting.
• Contribute to manage global environments and self-service tenants.

Senior Associate, Platform Engineer

• Own Platform's company-level objectives and the engineering plan that delivers them
• Translate company priorities and product-engineering needs into a platform roadmap, in a way that flows both up and down
• Be responsible for build-vs-buy and architecture-level trade-offs across infrastructure, data, developer experience, and AI tooling; own the technical roadmap and how it balances against the needs of your customers
• Represent Platform and collaborate with cross-functional leadership partners and in engineering-wide leadership conversations
• Coach EMs to a higher bar with clear feedback, growth plans, and direct support
• Drive AI-native development in line with ClassDojo’s engineering practices
• Take accountability for SLAs/SLOs and incident response across the platform surface
• Support and drive architecture and systems design decisions across infrastructure, data, DevEx, and AI tooling; ensure systems are reliable, maintainable, and operationally ready
• Partner with Security, Ops, Data, and other functions as the platform requires.

Engineering Leader – Platform Engineering

• Act as the enterprise Practice Lead and Principal Engineer for the Snowflake platform, providing technical direction and decision-making authority
• Assume leadership of the Snowflake environment following prior platform leadership transitions, ensuring continuity and stability
• Own platform-level decisions that impact enterprise-scale and regulated workloads, including GxP and SOX-aligned environments
• Provide deep expertise on Snowflake capabilities, including AI, Cortex, adaptive warehouses, multi-region deployments, and cost optimization patterns
• Advise downstream application and solution teams on Snowflake architecture patterns, migrations, and best practices
• Partner with architecture and platform teams to ensure Snowflake is tightly integrated into the broader enterprise ecosystem
• Drive innovation through proofs of concept and advanced platform features, including AI-driven agents, natural language interaction, and automation
• Lead or contribute to platform extensions that simplify usage, improve supportability, and enhance developer experience
• Guide platform readiness for new Snowflake releases by assessing scope, risk, and impact
• Serve as a key technical partner to Digital, business, architecture, and delivery teams across the organization
• Work directly with the Snowflake vendor and Resident Solution Architects on escalations, roadmap alignment, and feature adoption
• Lead enterprise communications around Snowflake features, changes, and deprecations to a large global user base
• Ensure Snowflake platform implementations meet enterprise compliance, security, and data protection standards, including regulated GxP workloads
• Partner with platform support teams to optimize monitoring, ticketing integration, and operational efficiency
• Act as a go-to expert and mentor for Snowflake engineers and platform team members
• Lead technical interviews and skill assessments for Snowflake-related roles
• Foster an active Snowflake community of practice through knowledge sharing, sessions, and best-practice dissemination

Senior Snowflake Platform Engineer

• Define and execute the enterprise data and analytics platform strategy
• Establish standards, guardrails, and reusable capabilities for data use
• Own the strategy and lifecycle of foundational analytical data products
• Lead a unified organization spanning data engineering and analytics platforms
• Own platform-level enablement of data governance, quality, and lineage
• Lead budget, vendor strategy, and platform investment decisions
• Develop bench strength, succession pipelines, and differentiated talent
• Partner with CIOs, business leaders, and enterprise stakeholders

Platform Engineer jobs in Connecticut

See all jobs on JobTailor