Top Tech Jobs & Startup Jobs in Austin, TX

Build and operate large-scale data infrastructure for AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, versioning, reproducibility, and high-throughput delivery to accelerator-based training jobs. The role requires operating petabyte-scale systems, applying distributed systems and data modeling expertise, supporting multimodal datasets, and practicing strong software engineering, testing, CI/CD, and cross-functional collaboration.

Designs, deploys, and operates production service mesh platforms, primarily Istio and Linkerd, across Kubernetes environments. Responsibilities include managing Envoy data planes, mTLS and certificate lifecycles, traffic policies, observability, distributed tracing, multi-layer troubleshooting, and mesh adoption. The engineer partners with application teams, develops automation in Go or Python, and supports secure, reliable service-to-service communication across potentially multi-cluster platforms.

Designs, deploys, and operates enterprise VMware virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. Responsibilities include managing vSphere, vSAN, NSX, Aria, and Tanzu; automating platform operations with PowerCLI; managing capacity; troubleshooting compute, network, and storage issues; supporting disaster recovery and SRM; and collaborating on cloud-native workloads and VMware migration initiatives.

Build and maintain production-grade Python automation for network configuration, change management, and observability across multi-vendor enterprise networks. Use network APIs, infrastructure-as-code, Ansible, CI/CD, and source-of-truth platforms to improve network operations. Collaborate with cross-functional teams, translate ambiguous requirements into reliable solutions, participate in code and design reviews, and mentor junior engineers.

Designs, builds, and operates large-scale Hadoop data pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing structured and unstructured data; developing Spark-based processing solutions; managing streaming and distributed data systems; orchestrating workflows; troubleshooting production environments; and supporting analytics, machine learning, and reporting workloads. The role also involves optimizing data platforms for reliability, performance, and cost, with opportunities to work across cloud, lakehouse, governance, Kubernetes, CI/CD, and infrastructure-as-code technologies.

Designs multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. Responsibilities include cloud portability, abstraction layers, federated identity, cross-cloud networking, infrastructure-as-code, policy-as-code, Kubernetes, security, and managed cloud services. The role leads multi-cloud architecture initiatives, evaluates cloud trade-offs, supports migrations, manages stakeholders, and develops cloud-agnostic platform solutions for enterprise environments.

Designs, develops, tests, tunes, and supports SAP S/4HANA enhancements, integrations, reports, and custom applications. The role requires advanced ABAP expertise, including ABAP OO, CDS views, AMDPs, OData, enhancement frameworks, and HANA optimization. It also involves Fiori integration, enterprise interfaces, transport management, troubleshooting, documentation, and post-go-live support while collaborating with functional consultants and business stakeholders.

Designs, deploys, and operates enterprise block, file, and object storage across data center, edge, and cloud environments. Responsibilities include managing NetApp, Pure Storage, and Ceph platforms; integrating storage with VMware and Kubernetes; automating operations with Ansible, Terraform, and REST APIs; optimizing performance, capacity, protection, and cost; and troubleshooting storage, network, and host layers.

Designs and governs cloud-native architectures across compute, networking, data, identity, and security. Partners with business, security, and engineering stakeholders to deliver scalable, cost-effective solutions. Leads cloud migration, modernization, and platform consolidation programs; produces architecture artifacts, conducts architecture reviews, influences engineering direction, and presents to senior leadership. Requires deep expertise with a major cloud platform, cloud architecture certification, and strong knowledge of containers, serverless services, networking, identity, security, and managed data services.

Designs, deploys, secures, and operates enterprise Kubernetes and Red Hat OpenShift platforms across on-premises and cloud environments. Responsibilities include cluster provisioning, hardening, workload onboarding, developer enablement, CI/CD implementation, infrastructure automation, monitoring, troubleshooting, and continuous platform improvement. The engineer partners with application, security, and infrastructure teams to maintain stable, secure, developer-friendly container platforms.