Top Tech Jobs & Startup Jobs in Austin, TX

Design, build, and enhance enterprise-grade Python applications, data-intensive services, and automation platforms. Responsibilities include system architecture, application development, database design and query tuning, automated testing, debugging, production support, secure coding, CI/CD, resiliency, and collaboration with product, data, infrastructure, technical, and business teams.

Owns the architecture, installation, configuration, upgrades, security, integrations, and ongoing operation of enterprise PeopleSoft environments. Responsibilities include PeopleTools upgrades, PUM, application and process scheduler servers, search infrastructure, Oracle databases, Linux/Unix systems, high availability and disaster recovery, cloud platforms, automation, troubleshooting, documentation, design and code reviews, and mentoring junior engineers.

Designs, develops, and operates PeopleSoft integrations with internal systems, cloud applications, and third-party platforms. Responsibilities include Integration Broker service operations, queues, routings, transformations, security, error handling, REST and SOAP services, PeopleCode, Application Engine, SQL, and API design. The role also supports upgrades and patches, participates in design and code reviews, troubleshoots production issues, documents solutions, and mentors junior engineers.

Designs, builds, and optimizes SAP HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translates business requirements into performant models, troubleshoots HANA performance issues, and applies expertise in calculation views, CDS views, AMDPs, SQLScript, replication, security, and performance tuning. The role also supports HANA migrations, upgrades, cloud technologies, and SAP analytics tooling.

Designs, develops, tests, deploys, monitors, and supports enterprise integrations connecting SAP S/4HANA and other SAP systems with non-SAP, third-party, and cloud platforms. Owns the full integration lifecycle, including iFlow development, API management, message-based architectures, troubleshooting, documentation, security, and migration of PI/PO interfaces to CPI. Partners with functional consultants, architects, and integration partners to deliver scalable solutions.

Design, develop, deploy, and maintain enterprise-grade full-stack applications and distributed systems. Build Java and Spring Boot backend services, REST APIs, microservices, React front ends, and cloud-native solutions. Collaborate with product, architecture, DevOps, and engineering teams in an Agile environment. Manage databases, CI/CD workflows, observability, troubleshooting, and production operations while delivering secure, scalable, and performant software.

Designs, builds, and operates SAP BTP extensions, side-by-side applications, and integrations for SAP S/4HANA and other SAP applications. Responsibilities include developing with CAP, Node.js or Java, Fiori/UI5, and OData; using BTP runtimes and services; implementing CI/CD; applying clean-core and multi-tenant SaaS principles; and integrating security, identity, analytics, workflow, and AI capabilities.

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

Designs, executes, and supports enterprise SAP S/4HANA data migrations across extraction, transformation, validation, reconciliation, and cutover. Uses SAP LTMC, SLT, LVM, and migration tools while analyzing SAP master and transactional data. Partners with functional teams, business owners, and infrastructure stakeholders during major implementations. Troubleshoots migration issues, documents processes, and supports data governance and compliance.

Design, build, and operate reliable, high-performance production inference platforms for large machine learning models. Responsibilities include request routing, batching, caching, autoscaling, GPU utilization, observability, performance engineering, capacity planning, and incident response. The role requires distributed systems expertise, experience with LLM inference frameworks, Kubernetes, cloud platforms, and high-throughput services. Preferred experience includes open-source contributions, globally distributed AI serving, model optimization, FinOps, and external-facing AI APIs.