Top Tech Jobs & Startup Jobs in Austin, TX

Build and operate high-traffic, consumer-facing products across the full stack, including backend microservices, APIs, frontend experiences, databases, infrastructure, and partner integrations. Own testing, observability, SLOs, reliability, security, compliance-aware data design, and incident readiness. Independently drive projects from scope through delivery while collaborating with cross-functional teams and adopting AI-assisted development tools.

Senior Site Reliability Engineer responsible for improving reliability, observability, resilience, and cost efficiency across AWS and Kubernetes infrastructure. The role manages EKS, CI/CD, API gateway, GraphQL, and monitoring platforms; implements reliability patterns, dashboards, alerts, FinOps practices, chaos engineering, disaster recovery, and incident response. It requires strong infrastructure automation, programming, Infrastructure as Code, GitOps, and distributed-systems expertise, along with participation in on-call rotations and cross-functional technical collaboration.

Leads technical direction across multiple teams while designing and developing scalable full-stack applications for Avail’s renter platform. Responsibilities include architecture, hands-on software development, mentoring engineers, code reviews, testing, debugging production issues, evaluating technologies, improving engineering practices, contributing to roadmaps, and participating in recruitment and onboarding.

Develop and support Salesforce applications across Sales, Marketing, and Service Cloud. Gather requirements, design solutions, configure and customize Salesforce, build integrations, write technical specifications, troubleshoot production issues, manage deployments, and develop Apex, LWC, Visualforce, and Agentforce solutions. The role partners closely with business stakeholders, applies Agile/Scrum practices, supports data quality, and contributes to CPQ, billing, reporting, and dashboard initiatives.

Lead the vision, strategy, and roadmap for AI-native client products, internal tools, data products, and enterprise integrations. Partner with executives, engineering, and data science to evaluate models, data quality, infrastructure, cost, latency, trust, and scalability. Define AI product opportunities, business cases, data requirements, quality standards, and commercial strategies while aligning legal, privacy, trust, and safety stakeholders.

Own the strategy, development, automation, and optimization of paid search platforms and workflows across Google Ads and Microsoft Ads. Build AI-enabled capabilities for bidding, budgeting, keyword management, ad copy, landing pages, campaign structuring, and experimentation. Partner with engineering, analytics, data science, marketing, and external platforms to deliver scalable SEM infrastructure, improve measurement, and drive efficient customer acquisition.

Leads Realtor.com’s enterprise Data & Analytics organization, overseeing data engineering, governance, data science, BI, experimentation, pricing, revenue management, lead intelligence, and data commercialization. Defines data strategy and architecture, advances AI capabilities, develops pricing and predictive models, partners with executives and cross-functional teams, and scales a multidisciplinary organization. Requires deep technical expertise, executive leadership, advanced analytics experience, and strong communication skills.

Summer 2027 software engineering internship involving real-world technical projects, scalable systems, full-stack applications, and collaboration with engineering, data science, product, and UX teams. Interns participate in technical workshops, mentorship, networking, and community activities. Candidates should be pursuing a relevant bachelor's degree, graduating between December 2027 and June 2028, and available for 11 consecutive weeks. Strong foundations in AI, programming, algorithms, and system design are required.

Leads enterprise systems initiatives focused on Salesforce and customer-facing applications. Translates business needs into requirements, user stories, solution designs, implementation roadmaps, and scalable technical capabilities. Partners with Product, Engineering, QA, Sales, Customer Success, and Revenue Operations throughout discovery, development, testing, release, and adoption. Identifies opportunities for AI-enabled solutions and manages multiple strategic initiatives with executive-level communication.

Own the roadmap, backlog, and delivery of data products and an internal data marketplace. Translate stakeholder needs into prioritized requirements, partner with engineering and governance teams, launch reusable and trusted data products, and measure adoption, quality, and business impact. The role also supports AI-enabled data access, external product readiness, documentation, certification, and ongoing product operations.