Top Systems Engineer Jobs in Austin, TX

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, deploy, and maintain scalable AWS and GCP infrastructure using Terraform and cloud-native best practices. Build automation and internal platforms with Python, maintain CI/CD pipelines with GitHub Actions, monitor systems and participate in on-call rotations, collaborate with security and networking teams, mentor junior engineers, and produce technical documentation and runbooks.

Lead design and delivery of enterprise integrations, automation, and AI-driven workflows across SaaS platforms. Architect scalable APIs, middleware, and conversational self-service experiences; partner with Security, Infrastructure, and Product; mentor engineers and drive long-term platform strategy, governance, and operational excellence.

Design, build, and operate backend services that enforce regional data residency across a globally distributed edge. Own end-to-end features from design and implementation to rollout and production operations, collaborate across platform, cryptography, and product teams, reason about failure modes and compliance tradeoffs, participate in on-call incident response, and raise engineering standards through reviews and mentorship.

As a Senior IAM Engineer, you will oversee IAM tools, streamline processes, automate systems, and collaborate on strategic IAM solutions.

Build, scale, and maintain a high-performance analytical database platform (ClickHouse) for real-time analytics. Develop platform components, add clusters, optimize query performance and ingestion, troubleshoot reliability issues, collaborate across teams and with the ClickHouse open-source community, and research next-generation database engine improvements.

Design, build, and operate a scalable logging and audit-log delivery platform. Develop high-performance connectors and integrations, ensure secure, compliant delivery to customer destinations, optimize pipeline throughput and latency, maintain operational health and monitoring, participate in on-call rotation, and collaborate on architecture and product requirements across teams.

Build and scale customer-facing Analytics and Alerts APIs and near real-time alerting platform. Optimize analytical queries, collaborate with frontend/product teams, ensure reliability and run on-call for operational health.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

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.

Seeking a Staff Hardware Engineer for advanced operational and diagnostic support of Arm-based hardware platforms, focusing on troubleshooting AI compute systems.

Join a small team building Cloudflare's Data Residency Architecture: implement per-account regional API routing, dashboard and provisioning integrations, admin tooling, and cross-team integrations with storage, cryptographic key management, and logging infrastructure to ensure customer data remains in chosen regions.

Join the Packet Processing team to own and evolve Spectrum, Cloudflare's L4 reverse proxy. Work on the edge dataplane and control plane (Go), integrate cross-dataplane systems, improve observability and operational excellence, participate in on-call and incident response, and help shape the product roadmap for large-scale TCP/UDP traffic, TLS termination, and DDoS-protected services.

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.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

Senior technical owner of an existing NetSuite ERP: provide Tier 2/3 production support, triage and permanently resolve incidents, build and optimize SuiteScript 2.x and SuiteFlow customizations, maintain integrations (Deposco WMS, Salesforce via Jitterbit), manage SDF sandbox-to-production promotions, monitor performance, ensure release readiness, author runbooks, and operate under ITGC/SOX-adjacent change management with on-call responsibilities.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Lead systems engineering for safety-critical avionics and electronic control systems: develop and manage system/hardware/software requirements, design architectures, define interfaces, perform system integration, verification and validation, produce technical documentation, and support proposals and program activities.

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Design and implement foundational layers of next-generation distributed storage and streaming systems. Own code end-to-end, architect consistency models, optimize storage engine performance, design data-centric APIs, and debug complex race conditions, partitions, and infrastructure-level failures. Work across system layers using Rust/C++ and interact with JavaScript/TypeScript as needed.

Lead design and delivery of GTM-facing software and data products: build data foundations, pipeline visualization, sales tooling, and production services. Own end-to-end projects, participate in on-call, drive cross-functional initiatives, and leverage AI to accelerate development on Cloudflare's platform.

Lead architecture and implementation of Cloudflare Tunnel systems (client and edge services). Design, code, test, monitor, and scale distributed, secure microservices. Mentor peers, drive roadmap, debug production issues, and collaborate with security, SRE, network engineering, and product teams.

Support and maintain server and systems infrastructure (hardware/software), monitor performance, perform maintenance and upgrades, administer Active Directory and identity platforms (Okta, Google Cloud Identity, AWS IAM), assist with systems design, troubleshoot enterprise systems, enforce IAM security standards, and produce documentation and reports.

Maintain and improve Linux-based production systems, automate deployments with Salt and Ansible, manage containerized stacks (Docker/Kubernetes), monitor and harden systems, troubleshoot incidents, partner with engineering for maintenance, and support infrastructure components like VMWare, SAN, backups, Kafka, MongoDB, and RabbitMQ.