Top Platform Engineer Jobs in Austin, TX

Design, build, and operate massively scalable cloud services on AWS. Implement Infrastructure as Code, automate operations, run on-call for global services, and improve service quality to make developer workflows easier.

Optimize and customize a forked Godot engine for mobile and constrained hardware. Responsibilities include profiling CPU, GPU, memory, loading, binary size, rendering, threading, and frame pacing; modifying engine/runtime systems; improving asset streaming, allocators, shaders, graphics APIs, startup performance, and device compatibility across iOS and Android.

Build and evolve low-level engine and platform systems across web, desktop, Chromebooks, iPads, and mobile. Modify a forked Godot engine, improve architecture and performance, develop reusable tooling, resolve cross-platform issues, and optimize CPU, memory, and runtime behavior. The role also includes mentoring engineers, influencing technical decisions, and adopting AI-assisted development tools.

The Enterprise AI Platform Engineer transforms AI prototypes into production systems, focusing on deployment, security, solution architecture, and developer support.

Designs and owns Webflow’s foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships.

Own and optimize IBM Spectrum LSF scheduling across 15–25 federated cells. Diagnose scheduler latency, MultiCluster forwarding and cross-cluster contention, design scalable cell topology, and encode scheduler policy through infrastructure as code. Partner with CAD and methodology teams on large-scale EDA workloads, license constraints, and tape-out bursts. Requires deep LSF internals expertise, production MultiCluster experience, strong Linux fundamentals, and Python, Perl, and shell scripting skills.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Design, implement, and operate backend services, infrastructure, APIs, and integrations for Cloudflare's internal support and admin platform. Partner with engineering and non-engineering teams to onboard apps, enforce security and access controls, improve scalability and reliability, participate in on-call rotations, and drive observability and developer experience improvements.

Build and enhance core infrastructure, APIs, and SDKs for Verisoul's product offerings, ensuring scalability and seamless customer integration while managing your own workflow in a dynamic environment.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Operate and maintain AWS infrastructure, including EKS, EC2, RDS/Aurora, ElastiCache, S3, and IAM. Manage deployments, build reusable Terraform modules and Helm charts, maintain GitLab CI templates, troubleshoot networking, IAM, and Kubernetes issues, and improve observability and platform stability with Datadog. Partner with application teams to communicate platform standards and participate in production on-call ownership.

The Senior Cloud Engineer will manage Kubernetes clusters, implement PaaS features, optimize infrastructure, and enhance operational excellence while mentoring peers.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Own and evolve a multi-region AWS WorkSpaces serverless VDI platform: design, build, automate, and troubleshoot production systems (Lambda, SQS, DynamoDB, SNS). Lead DR, Terraform IaC, Datadog observability, WorkSpaces lifecycle operations, mentor engineers, and ensure security and compliance for a regulated fintech environment.

The Desktop Engineer will manage the VDI environment, ensuring access to crucial applications and optimizing performance for financial services, with a focus on AWS solutions.

Lead and grow a cloud platform engineering team building event messaging, data, and storage services across Azure and GCP. Drive delivery, operational excellence, monitoring/observability, incident response, backlog and program management, and developer enablement for shared platform services. Partner with stakeholders to define roadmap and improve reliability, security, scalability, and developer experience.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

The Sr. Staff Platform Engineer will lead the design and development of cloud-native internal developer platforms, focusing on AWS and AI/ML integration to empower engineering teams and streamline workflows.

Build and automate cloud infrastructure across AWS using Terraform, GitLab CI/CD, Shell, and Python. Manage advanced networking, hybrid connectivity, Kubernetes/EKS, Istio, monitoring, observability, release engineering, and API platforms including Kibana, Dynatrace, and Apigee. Perform vulnerability remediation and patching while supporting security, compliance, alerting, and telemetry. Collaborate cross-functionally in fast-paced Agile/Scrum environments.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.