Top Tech Jobs & Startup Jobs in Austin, TX

Designs and operates large-scale observability platforms covering metrics, logs, tracing, dashboards, storage, and alerting. The role requires expertise with Prometheus, Grafana, OpenTelemetry, commercial monitoring platforms, high-throughput telemetry pipelines, SRE practices, Linux, networking, containers, CI/CD, and incident management. Preferred experience includes Thanos, Mimir, Cortex, Loki, Tempo, eBPF, open-source contributions, cost optimization, and regulated environments.

Design and operate petabyte-scale data infrastructure supporting AI training, evaluation, and continual improvement. Build multimodal ingestion, processing, quality, labeling, versioning, lineage, privacy, and high-throughput data delivery systems. Optimize storage, cost, performance, and GPU utilization while ensuring reproducibility and data integrity. Monitor data quality, drift, and pipeline health, collaborate with machine learning teams, and document operational procedures. Requires strong data engineering, distributed systems, software development, and ML infrastructure experience.

Design and build industrial IoT platforms spanning factory-floor edge systems and enterprise cloud environments. Responsibilities include architecting IIoT solutions, implementing industrial protocol connectivity, cloud ingestion, real-time analytics, operational dashboards, OT/IT integrations, troubleshooting, documentation, code and design reviews, and mentoring engineers. The role requires strong programming, edge computing, cloud IoT, cybersecurity, and industrial software engineering expertise.

Design, optimize, and deploy machine learning models for resource-constrained edge devices, including mobile and embedded platforms. Responsibilities include model compression, quantization, pruning, hardware-aware optimization, production deployment, performance profiling, and systems engineering. The role also addresses on-device privacy and security while collaborating cross-functionally to deliver reliable edge AI. Preferred experience includes NPU/DSP toolchains, federated learning, safety-critical deployments, open-source contributions, and on-device LLM optimization.

Designs, builds, and operates secure, highly available AWS platforms for mission-critical workloads. Responsibilities include AWS architecture, infrastructure as code, EKS/ECS operations, CI/CD automation, cloud security, IAM, encryption, observability, monitoring, alerting, troubleshooting, documentation, and cost optimization. The role partners with application, security, and SRE teams to deliver scalable cloud-native solutions.

Designs and governs Salesforce integrations with enterprise systems including ERP, data, marketing, and operational platforms. Responsibilities include middleware selection, API strategy, event-driven architecture, data synchronization, integration security, and high-volume processing. The architect translates business requirements into scalable solutions, leads integration programs, conducts design and code reviews, collaborates with stakeholders, and mentors engineers.

Designs, builds, and maintains scalable infrastructure-as-code foundations for cloud and hybrid environments. Responsibilities include authoring reusable Terraform modules, managing state and workspaces, hardening CI/CD pipelines, enforcing policy-as-code, standardizing infrastructure delivery, and troubleshooting large-scale cloud infrastructure. The role requires strong scripting, Git workflows, cloud networking, identity, security, and production Terraform expertise across cloud providers.

Design and build production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, integrations, and automation. Develop custom business logic, user interfaces, and enterprise integrations while following platform limits and maintainability best practices. Troubleshoot complex issues and deliver declarative-first solutions using Salesforce data, sharing, and source-driven development practices.

The Software Security Engineer embeds security throughout the software development lifecycle, conducts secure code reviews, identifies vulnerabilities, and integrates SAST, DAST, SCA, and security controls into CI/CD pipelines. Responsibilities include application and cloud security, authentication and authorization design, cryptographic implementation, security automation, offensive security activities, and collaboration with engineering teams to reduce production risk.

Designs and optimizes compute-intensive GPU workloads for AI, scientific computing, and high-throughput data processing. Responsibilities include CUDA kernel development, GPU performance profiling, systems programming, distributed computing integration, custom ML framework kernels, production optimization, and collaboration with engineering and research teams. The role also includes code and design reviews, technical mentorship, and delivering measurable performance improvements on modern accelerator platforms.