Platform Engineer

• Collaborate with engineers across the company to understand and support their development workflows.
• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
• Lead complex projects that span teams, with many partners and customers.
• Effectively participate in planning, code reviews, and design discussions.
• Contribute impactful projects to the team’s roadmap.
• Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
• Drive software engineering best practices both within our team and across engineering.
• Create tooling that encourages and supports these practices.
• Mentoring and up-leveling other engineers on the team.
• Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
• Be a positive contributor to our team culture.

Senior AI/ML Engineer – Autonomy CI Platform

• Define standards-based deployment patterns for responsible AI agents, reusable platform capabilities, and secure agent runtime architectures, including identity, access, and secrets management.
• Automate AI platform buildout, release standardization, environment provisioning, CI/CD, Terraform/Helm deployments, and operational runbooks.
• Operate reliable AI platform services with incident response, capacity planning, OpenTelemetry traces/logs/metrics, monitoring, rollback, and disaster recovery practices.
• Collaborate across InfoSec, CloudOps, DevOps, and platform engineering teams to create responsible agentic factory standards for guardrails, governance, secure releases, observability, and production readiness.
• Coach engineers, lead design reviews, guide implementation toward approved architecture patterns, and drive practical tradeoffs across cost, speed, reliability, and security.

Senior AI 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 and evolve the Specialty Distribution Data strategy while contributing to broader Enterprise Data, AI, and Specialty Distribution AI strategies.
• Develop and maintain roadmaps that translate business priorities into executable data, analytics, and AI platform initiatives.
• Establish scalable architecture patterns, engineering standards, governance practices, and delivery frameworks for data and AI solutions.
• Implement extensible and reusable data products that align with enterprise models, technology standards, security controls, and platform patterns.
• Manage data and AI risk, including compliance with enterprise data, AI, security, privacy, and regulatory policies.
• Build and lead a best-practice data and AI engineering operating model, including team structure, processes, tools, standards, governance, and ways of working.
• Ensure the reliable operation of data services, platforms, pipelines, integration services, orchestration tools, reporting data sets, and supporting infrastructure.
• Oversee the design, build, optimization, and support of modern data pipelines using technologies such as Databricks, Delta Lake, Azure Data Services, Azure Data Factory, Azure Data Lake, Synapse, SQL, and related platforms.
• Lead the delivery of AI solutions, AI agents, automation capabilities, and intelligent products in partnership with Enterprise AI, business teams, and platform stakeholders.
• Deliver data and AI initiatives from concept through production, ensuring solutions are aligned to business priorities, enterprise standards, and measurable value.
• Build strong relationships with executive stakeholders, business leaders, product owners, analytics teams, and technology partners to translate business needs into effective data and AI capabilities.
• Build, lead, and develop a high-performing AI and data engineering organization capable of delivering at enterprise scale.

Head of AI and Data Platform Engineering – Specialty Distribution

• Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks
• Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption
• Deliver technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap
• Champion engineering & operational excellence by continuously improving systems and processes
• Actively participate in team’s planning, code reviews and design discussions
• Conduct technical interviews, onboard new and mentor junior engineers

Software Engineer, Data Platform – Autonomous Vehicles

• Lead a global team of 20+ engineers, including managers and technical leads, across embedded Linux, CI/CD, build infrastructure, and developer tooling.
• Develop and execute the strategic vision, translating it into actionable roadmaps and plans.
• Optimize developer throughput and cycle times by measuring the end-to-end pipeline, setting targets, and implementing improvements.
• Identify and eliminate blockers and dependencies, automate repetitive tasks, and streamline workflows.
• Integrate AI and LLM tools into engineering processes, including code generation, testing, review, and specification work, assessing value and setting appropriate boundaries.
• Foster a culture of continuous improvement: reducing friction and toil, enhancing quality, and ensuring reliable releases.
• Experiment with innovative workflows, learn from failures, and scale successful practices.
• Own the CI/CD and build strategies, ensuring automated pipelines, reproducible builds, and robust test automation.
• Maintain the security and maintainability of embedded Linux and kernel projects.
• Track key engineering metrics to inform decisions and prioritize investments.
• Hire, mentor, and develop managers and senior engineers.

Senior Director, Compute Platform Engineering

• Join our dynamic team at Fidelity Investments
• Work for our Engineering Experience team
• Collaborate with engineering teams to enhance developer experience
• Improve technology associates' effectiveness and job satisfaction

• 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

• Define and execute enterprise strategy for AI platform engineering and multi-cloud environments
• Establish AI guardrails, governance models, and architectural patterns
• Drive decisions on standardization, centralization, and build vs. buy
• Align platform roadmap with business priorities
• Build and scale a net-new AI platform function
• Implement governance-by-engineering with policy-as-code and automated controls
• Partner with security on identity, data protection, and secure AI usage
• Establish model access, observability, and risk frameworks
• Reduce shadow AI through approved tools and vendor strategies
• Lead and evolve the existing cloud platform team
• Ensure secure, scalable, and cost-efficient cloud capabilities
• Integrate cloud and AI strategies into a unified platform model
• Operate platforms as products with clear roadmaps and metrics
• Develop internal developer platforms and self-service capabilities
• Define service catalogs and golden paths
• Drive adoption through developer-centric design
• Improve developer experience through self-service and automation
• Deliver APIs, templates, and platform interfaces
• Enable AI-assisted development workflows
• Partner with engineering teams to drive adoption
• Embed governance via policy-as-code and automated guardrails through partnership with Information Security
• Standardize identity, secrets, and access controls
• Ensure audit-ready telemetry and compliance
• Enforce data governance and AI usage controls
• Embed cost management into platform capabilities
• Provide cost visibility and enforce budgets
• Drive accountability via consumption models
• Optimize cloud and AI cost-performance tradeoffs
• Build and lead a high-performing platform engineering organization
• Define operating models across federated teams
• Influence stakeholders without direct authority
• Develop talent and foster accountability culture

Head of AI Platform Engineering – Public Cloud

• Design, build, and maintain key components of our data platform automation for provisioning, backups, and user management
• Troubleshoot and resolve complex performance and reliability issues in our data systems
• Proactively identify opportunities to improve data streaming services, security, scalability, and automation
• Participate in an on-call rotation to support the team's critical services
• Mentor junior engineers on the team

Senior Platform Engineer, Data & Performance Enablement

• Collaborating closely with various business units to provide strategic advice, prototype solutions, and develop and manage software applications tailored for internal use.
• Building internal platform tools and services: self-service portals/workbenches, backend APIs (Python/FastAPI), automations and CI/CD tooling.
• Diagnosing deployment, networking, endpoint, and configuration issues.
• Writing and maintaining Terraform; provisioning and configuring platform resources across AWS and Azure.
• Onboarding new teams; translating ambiguous requirements into practical plans and challenging weak designs.
• Helping teams productionize models—hosting options, inference patterns, scaling, cost, and operational readiness across SageMaker, Bedrock, Azure ML/AI Foundry, and Kubernetes.

AI/ML Platform Engineer

• Lead the support, administration, reliability, and day-to-day operations of enterprise cybersecurity, SIEM, observability, log management, and data platforms
• Support the operational roadmap for cybersecurity platform capabilities
• Provide technical leadership and mentorship for global support teams
• Optimize platform operations by using monitoring alerts, performance trends, service metrics, and operational insights
• Ensure compliance with enterprise security, audit, regulatory, and data lifecycle management requirements

Senior Platform Operations Engineer

• Design, implement, and manage Infrastructure-as-Code (IaC) solutions using Terraform, Crossplane, Helm Charts, or CloudFormation to provision and manage cloud resources. (Must Have)
• Collaborate with Product Managers, Software Engineers, Security, and Infrastructure teams to define platform requirements, priorities, and architecture.
• Partner with Development, Operations, and QA teams to streamline software delivery and improve release quality.
• Monitor, troubleshoot, and optimize cloud infrastructure, DevOps platforms, and CI/CD pipelines to ensure high availability, scalability, reliability, and cost efficiency.
• Design and implement zero-downtime deployment and maintenance strategies for Kubernetes clusters and cloud infrastructure.
• Evaluate emerging technologies and recommend modern DevOps tools and engineering best practices.
• Mentor junior engineers and promote engineering excellence across teams.
• Enable engineering teams by providing reusable platform services, automation, and operational best practices.
• Collaborate with Security teams to integrate security controls and DevSecOps best practices into infrastructure and deployment pipelines.
• Document technical designs, architecture, operational procedures, and platform standards.
• Promote a culture of innovation, collaboration, automation, and continuous improvement across the organization.
• Eliminate operational toil by automating manual processes using modern tooling, AI-powered solutions, and agentic workflows.
• Participate in a 12-hour on-call rotation to support production systems.

• 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 technical design and enablement of RTM use cases, focusing heavily on RTCDP for profile orchestration, segment creation, and real-time activation.
• Work with cross-functional teams to ensure high-fidelity behavioral data is captured and mapped correctly into AEP to power immediate, personalized customer journeys.
• Develop a future-proof technical roadmap for AEP that prioritizes scalability and the rapid deployment of new CX innovations.
• Define the 'gold standard' for AEP schemas (XDM), identity namespaces, and profile merge policies to ensure data remains clean and usable.
• Monitor dataflow health and ingestion patterns; proactively identify and resolve technical bottlenecks before they impact marketing performance.
• Manage the technical lifecycle of the platform, including feature adoption, sandbox management, and ensuring seamless upgrades with minimal disruption to the business.
• Act as the primary technical point of contact for Adobe, influencing their product roadmap and ensuring Verizon’s technical needs are prioritized.
• Partner with IT and Security to ensure the MarTech stack is architecturally sound, while acting as a subject matter expert for the dedicated Governance/Compliance team.
• Develop technical KPIs to track platform uptime, data latency, and the efficiency of audience activation.

Adobe Experience Platform Engineer

• Develop and lead infrastructure platform engineering team responsible for cloud enterprise data platform architecture and engineering
• Lead database platform transformation/modernization supporting always-on enterprise applications and services
• Accelerate infrastructure transformation to provision / manage infrastructure through infrastructure as code (IaC) to enable self-service and reduce handoffs
• Collaborate with IT stakeholders to develop, communicate and execute a multi-year technology strategy to simplify architecture and delivery model
• Partner with architecture team to drive tool and data platform alignment to modern data architecture practices (modern data stack)
• Provide thought leadership for platform and data architecture as move transition to hybrid-cloud
• Provide Tier 2,3 engineering support ensuring effective 24x7x365 support for assigned technology including vendor escalation
• Partner with Disaster Recovery and Business Continuity organizations to integrate disaster recovery processes with day-to-day technology engineering and operations
• Build / Maintain strong partnerships with IT stakeholders including Delivery Engineering, Application Development, Architecture, Security and Operations to ensure technology investment enables/drives business strategy
• Foster and drive organizational change through technology and process optimization
• Establish KPIs to measure organization performance and effectiveness
• Manage ongoing vendor relationships including evaluation products and services
• Develop / attract / retain top talent to build and maintain a world class organization

VP, Platform Engineering – Database

• 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

• Design, build, and operate distributed, event-driven systems that power accounting close automation and capital risk workflows.
• Deliver scalable data processing solutions that transform high-volume financial events into accurate, reliable business outcomes.
• Partner closely with Product, Data Analytics, Finance, and Engineering teams to define technical solutions for complex financial processes.
• Improve the reliability, scalability, and maintainability of critical financial systems while thoughtfully managing technical debt.
• Lead multi-quarter engineering initiatives from architecture through production, balancing long-term platform investments with business priorities.
• Leverage AI-assisted development tools to improve engineering productivity while maintaining high standards for quality, security, and correctness.

Senior Software Engineer – Lending Platform

• Lead the continued development of OleOleSport.com, our consumer-facing commerce platform.
• Focus on building and scaling the core systems that power ticket sales, hospitality packages, supporter travel, memberships, event experiences, and future commerce initiatives.
• Work closely with company leadership, product, design, and engineering teams to help shape both the technical architecture and product direction of the platform as we expand globally.

Principal Full Stack Engineer – Sports Travel & Ticketing Platform

• Design, build, and operate the enterprise API and AI platform supporting multiple business domains (Finance, HR, Supply Chain)
• Own the API and AI gateway platform lifecycle, including account topology, RBAC, network architecture, governance, CI/CD automation, and disaster recovery
• Develop, deploy, and manage API proxies, shared flows, and gateway policies to enable secure and scalable API exposure
• Design and implement multi-cloud gateway architectures leveraging Apigee, AWS API Gateway, and Azure API Management
• Implement secure network connectivity, including Azure Private Link, private endpoints, Private DNS Zones, and network policy enforcement
• Develop and maintain Terraform modules to automate provisioning and lifecycle management of API gateway and platform resources
• Enable self-service platform consumption through validated YAML manifests and automated deployments via CI/CD pipelines (e.g., Shield CI/CD)
• Integrate platform and gateway capabilities with Entra ID (Azure AD) using SAML SSO, SCIM provisioning, and enterprise RBAC patterns
• Manage service authentication, secrets, and key rotation using HashiCorp Vault and Azure Key Vault
• Implement and enforce API security controls, including OAuth 2.0, JWT, API keys, mTLS, and threat protection policies
• Enforce security and compliance controls, including audit logging, policy-as-code, tagging, access controls, and governance standards
• Embed infrastructure and supply-chain security scanning into CI/CD pipelines.
• Design and implement GraphQL gateway architectures for backend orchestration and modern API consumption patterns
• Design for resiliency and cost efficiency, including resource optimization, capacity planning, cost allocation, and chargeback models
• Own cross-region disaster recovery strategies, replication design, and RPO/RTO adherence for platform services
• Implement observability and monitoring using tools such as Prometheus, Grafana, Splunk, Datadog, and AppDynamics
• Lead incident response, troubleshooting, and root cause analysis (RCA) for platform and gateway-related issues
• Govern secure data and API sharing patterns, ensuring proper access controls, auditing, and usage monitoring
• Partner with Cloud, IAM, Security, Networking, and FinOps teams to ensure alignment with enterprise architecture and regulatory requirements
• Provide technical leadership and mentorship to engineering teams and drive platform adoption and best practices

Platform Engineer jobs in Texas

See all jobs on JobTailor

Senior AI/ML Engineer – Autonomy CI Platform

Senior AI Platform Engineer

Senior Director, Autonomous Platform Engineering

Head of AI and Data Platform Engineering – Specialty Distribution

Software Engineer, Data Platform – Autonomous Vehicles

Senior Director, Compute Platform Engineering

Platform Engineer

Staff Software Engineer – Platform

Head of AI Platform Engineering – Public Cloud

Senior Platform Engineer, Data & Performance Enablement

AI/ML Platform Engineer

Senior Platform Operations Engineer

Platform Engineer

Platform Engineer – Bare Metal

Adobe Experience Platform Engineer

VP, Platform Engineering – Database

Product Manager, Platform Infrastructure – Compliance

Senior Software Engineer – Lending Platform

Principal Full Stack Engineer – Sports Travel & Ticketing Platform

Lead Software Engineer – Platform