Top Engineering Jobs in Austin, TX

Develop and maintain CrowdStrike’s macOS endpoint security sensor using C/C++ and Swift. Design high-performance, reliable software across operating-system subsystems including filesystems, memory, processes, and networking. Own features from design through delivery, collaborate with distributed teams, troubleshoot customer-reported issues, and contribute to major product releases. The role requires strong concurrency, performance, and low-level systems expertise, plus effective use of AI technologies to improve workflows and decision-making.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Leads the Platform API team responsible for cross-platform sensor abstractions and an on-sensor machine learning inference runtime. Owns technical strategy, API and ABI design, architecture, production delivery, quality, roadmap, and organizational adoption across Windows, Linux, and macOS. Hires, coaches, and develops engineers; manages resourcing, escalations, testing, telemetry, and cross-functional partnerships. Requires deep low-level C/C++ systems expertise, distributed-team leadership, and experience delivering reliable production software at scale.

Own the end-to-end software release lifecycle across Windows, macOS, Linux, containers, and mobile platforms. Responsibilities include build execution, deployment, post-release monitoring, release coordination, automation development, failure troubleshooting, release calendar management, stakeholder communication, rollback planning, metrics analysis, and go-live support. The role requires CI/CD familiarity, scripting in Python or Go, build systems experience, test-result interpretation, Agile/Scrum knowledge, and occasional support outside standard business hours.

Build and operate foundational platform services, libraries, and tooling for large-scale distributed systems. Lead reliability, scalability, observability, performance, resilience, cost optimization, and infrastructure-as-code initiatives across product teams. Define SLOs and error budgets, resolve complex incidents, improve architecture, mentor engineers, and influence organization-wide technical decisions. The role involves hands-on backend engineering, production coding, multi-cloud platforms, and automation to eliminate operational toil.

Leads and develops high-performing Site Reliability Engineering teams responsible for cloud platform reliability, scalability, and resilience. Partners with executives and cross-functional engineering, security, and operations teams to define technical strategy, drive SRE best practices, establish reliability metrics and SLOs, guide architecture, and champion automation and infrastructure-as-code initiatives. Requires extensive software engineering and leadership experience, distributed systems expertise, cloud proficiency, and strong executive communication.

Develop and scale the LogScale backend engine using Scala for high-volume distributed event ingestion, querying, storage, and availability. Design and deliver features, improve scalability, write automated tests, monitor production deployments, troubleshoot customer issues, document technical decisions, research technologies, and provide technical leadership through mentoring and code reviews.

In this role, you'll ensure the reliability and scalability of the NG-SIEM platform, manage incident responses, and collaborate across teams to enhance system performance.

The role involves designing and developing core features for the Linux sensor in CrowdStrike's security platform, collaborating with teams across the company, and maintaining software quality for cross-platform delivery.

Lead the design and implementation of major cloud architecture components for highly scalable, low-latency services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through design reviews, postmortems, hiring, mentorship, and code reviews. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes.