Top Platform Engineer Jobs in Austin, TX

Lead development productivity initiatives by building secure, scalable CI/CD infrastructure, automated delivery pipelines, self-service developer tooling, reproducible builds, and self-healing test environments. Improve local development, release processes, system reliability, and engineering standards across SaaS, mobile, and embedded products. Mentor engineers, guide platform direction, and collaborate with stakeholders across the organization.

Lead development productivity initiatives and build secure, scalable systems supporting development, testing, infrastructure, and release delivery across SaaS, mobile, and embedded products. Design automated CI/CD and bootstrapping pipelines, improve local development and self-service tools, create reliable distributed infrastructure, enhance release processes, and mentor engineers. The role also drives platform direction, engineering best practices, collaboration, and adoption through technical guidance, demos, and training.

Leads platform engineering at 2K by architecting Kubernetes infrastructure, internal developer platforms, self-service tooling, and reusable Terraform libraries across cloud and data-center environments. Drives AI- and LLM-powered automation, developer experience improvements, CI/CD and platform standards, advanced troubleshooting, high-availability architecture, and technical consultation. Mentors engineers, shapes platform roadmaps, and participates in 24/7 on-call support.

Build production-grade backend services and serverless APIs for contact center systems. Implement integrations, observability pipelines, AI-enabled workflows, migration tooling, and reusable platform patterns to improve routing, agent support, reliability, and operational visibility.

Design, provision, and manage GCP cloud infrastructure using Terraform and IaC. Build reusable Terraform modules, improve CI/CD (GitHub Actions), manage GKE/Cloud Run/Cloud SQL and other GCP services, enforce security and compliance, automate self-service tooling, monitor reliability, support incident response, and optimize cloud costs.

Lead platform architecture and roadmap to build an AI-enabled Internal Developer Platform. Drive platform-as-product, Kubernetes-based IaC (Terraform), CI/CD standards, automation, and developer self-service. Mentor engineers, provide Tier 2 troubleshooting, define governance, and participate in 24/7 on-call to ensure high availability and operational resilience.

Design, deploy, and maintain automation and tooling for Kubernetes clusters. Manage cluster lifecycle, monitoring (Datadog), security and compliance, documentation, CI/CD and GitOps practices, collaborate with app teams, and participate in on-call rotations to troubleshoot production incidents.

Designs and develops core JVM frameworks and tooling, supports platform users, improves developer productivity, and collaborates across engineering teams. The role drives continuous improvement and delivery within an agile environment, develops API platform capabilities using Kotlin/JVM, and leverages AI to modernize platform tools. Candidates should understand API design and platform engineering, with preferred experience in scalable applications, cloud platforms, CI/CD, and Spring Boot.

Deploy, maintain, test, troubleshoot, and optimize custom FPGA hardware platforms for ultra-low-latency trading. Develop Python applications to control and monitor production hardware, create deployment plans, and evaluate hardware providers and capabilities. Candidates need a computer science or related degree, extensive Python experience, networking knowledge, and familiarity with computer systems and network architecture. Finance experience is not required.

Build and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM, and custom applications. Configure and develop workflows, Flow Designer automations, scripts, integrations, UI customizations, Service Portal widgets, and platform extensions. Apply upgrade-safe and performance-focused development practices, troubleshoot platform issues, and use declarative and programmatic approaches effectively. The role requires strong ServiceNow production experience, JavaScript expertise, platform knowledge, and relevant certifications.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead Software Engineer responsible for designing, building, and maintaining scalable data pipelines and platform components (cataloging, quality, lineage, governance). Implements data modeling, partners with stakeholders to deliver production-grade code, automates operations, evaluates vendors, and leads Agentic Autonomous Lakehouse and engineering communities to drive platform innovation and operational stability.

Designs, deploys, automates, and operates enterprise VMware virtualization, software-defined networking, and storage platforms across on-premises and hybrid-cloud environments. Responsibilities include managing vSphere, vSAN, NSX, Aria, and Tanzu; capacity planning; disaster recovery and SRM; troubleshooting compute, network, and storage layers; and supporting automation and cloud migration initiatives.

Design and build scalable, reliable, observable, and well-tested backend or distributed systems. Use AI-assisted development tools to code, test, document, and design while validating generated outputs. Contribute to architecture and technical direction, apply systems thinking across data models, APIs, and service boundaries, and mentor peers. The role requires collaboration across Product, UX, and Engineering in a hybrid Austin environment.

Owns the architecture, administration, upgrades, configuration, security, integrations, and ongoing operation of enterprise PeopleSoft environments. Responsibilities include PeopleTools upgrades, PUM image applications, WebLogic and Tuxedo administration, Elasticsearch/OpenSearch support, Oracle and Linux/Unix operations, high availability and disaster recovery, cloud automation, troubleshooting, documentation, code and design reviews, and mentoring junior engineers.

Architects, deploys, and operates secure, resilient OCI cloud platforms. Responsibilities include landing-zone design, Terraform infrastructure-as-code, workload migration, OCI service management, OKE operations, CI/CD, automation, observability, incident response, troubleshooting, security, compliance, and cost optimization. The engineer partners with database, application, and security teams to support mission-critical Oracle and non-Oracle workloads.

Design, build, and operate secure, scalable Java and Spring Boot microservices, REST and GraphQL APIs, and event-driven integrations supporting GM mobile experiences. Deploy cloud-native services on Azure, strengthen CI/CD and DevOps automation, and improve observability, reliability, and operational health. Apply AI-enabled engineering practices, TDD, and automated testing. Collaborate across product, architecture, security, and engineering teams while mentoring engineers and contributing to technical documentation and standards.

Lead development of a proprietary Java and Spring Boot platform framework used by more than 1,000 application teams. Own framework design, versioning, compatibility, testing, containerized delivery, shared platform integration, and complex issue resolution. Lead system design discussions, code reviews, AI-assisted engineering adoption, and geographically distributed collaboration. Mentor engineers and guide architectural decisions affecting large-scale cloud-native applications.

Supports and develops shared DevOps platform services across on-premises and AWS environments. Responsibilities include maintaining CI/CD pipelines, automation, observability, reliability, infrastructure monitoring, incident response, root-cause analysis, documentation, and participation in a 24/7 follow-the-sun on-call rotation. The role also partners with engineering stakeholders to improve workflows and platform capabilities.

Build and operate scalable backend services and data platforms for interactive performance analysis and collaborative profiling workflows. Improve ingestion, storage, query responsiveness, and resilience for large performance datasets. Design durable service interfaces and data models, handle concurrency and partial failures, and establish testing, observability, and operational practices while partnering with frontend, security, product, and source-system teams.

Automate cloud infrastructure as code, build developer tooling, administer Kubernetes and platform services, improve CI/CD and observability, collaborate with product teams, run on-call rotation and manage incident runbooks to ensure platform reliability and developer productivity.

Administer and optimize the monitoring platform stack (Splunk, Cribl, Datadog, Grafana). Configure data pipelines, transform payloads (JavaScript), write SQL and platform queries, build alerts and dashboards, troubleshoot agents via Linux CLI, manage user access and RBAC, and partner with internal teams to onboard data sources and resolve platform issues.

Design, build and own a petabyte-scale self-service real-time data enrichment platform. Lead query processing, ingestion pipelines, storage, indexing and performance optimization using Spark/Flink and Apache ecosystem tools. Deliver unified data catalog, improve query performance and platform efficiency, collaborate on technical reviews, and enable internal and external customers to query and extract data efficiently.

Design, develop, debug, and validate high-performance firmware and system software for edge IoT platforms running Android OS and Linux. Build automated tests, participate in architecture discussions, and collaborate across disciplines to deliver and maintain features at scale.

Lead architecture and systems design for a Robot-as-a-Service edge/cloud platform. Define interfaces, constraints, and contracts between robots, platform, and customer integrations. Drive cross-functional decisions, translate product intent to engineering scope, and ensure reliability across data pipelines, APIs, and security concerns.