Technical Leadership Jobs in Austin, TX

Engineering Manager: $120k–$170k base, 10–20% bonus, 0–5% equity.\nDirector: $150k–$200k base, 15–25% bonus, 5–10% equity.\nVP of Engineering: $180k–$250k base, 20–30% bonus, 10–20% equity.\nCTO: $200k–$300k base, 25–35% bonus, 20–30% equity.\nRoughly 15–20% higher in major tech hubs (San Francisco, New York) and 10% lower in emerging markets.

Cloud architecture: AWS Certified Solutions Architect or GCP Professional Cloud Architect.\nKubernetes & Docker: Certified Kubernetes Administrator (CKA).\nInfrastructure as Code: Terraform or Ansible certification.\nCI/CD: Jenkins, GitHub Actions, or GitLab CI expertise.\nAgile frameworks: Certified Scrum Master (CSM) or SAFe Program Consultant (SPC).\nProject management: PMP or PRINCE2.\nSecurity: ISO 27001 Lead Implementer or CompTIA Security+.\nActionable steps: Earn one cloud certification within 6 months, complete CKA, and integrate security scanning into every pipeline.

Yes – 70%+ of engineering leadership positions now offer fully remote or hybrid models. Remote leaders must master distributed collaboration tools such as Jira, Confluence, Slack, and Microsoft Teams.\nKey responsibilities include managing time‑zone differences, ensuring regular asynchronous updates, and enforcing documentation standards.\nActionable: Build a remote leadership toolkit by practicing weekly all‑hands syncs, using shared dashboards, and establishing clear communication protocols.

Engineer → Senior Engineer → Lead Engineer → Engineering Manager → Director → VP of Engineering → CTO or CISO.\nLateral options: Head of Data Science, VP of Product, or Head of DevOps.\nActionable: Document at least two end‑to‑end projects each year, mentor junior staff, and track metrics like velocity, uptime, and deployment frequency to demonstrate impact.

AI/ML integration into product roadmaps; serverless and edge computing for latency‑critical services; microservices and container orchestration with Kubernetes; DevSecOps practices embedding security in CI/CD; cloud‑native architectures leveraging AWS Lambda, Azure Functions, or GCP Cloud Run; 5G and IoT expanding data streams; sustainability focus on green cloud usage; and a shift toward data‑driven product decisions.\nActionable: Stay current with AI frameworks (TensorFlow, PyTorch), adopt serverless patterns for at least one service, and embed automated security checks in every pipeline.