Top Senior Software Engineer Jobs in Austin, TX

Develop and maintain full-stack applications using C#, .NET Core, and modern front-end frameworks. Build APIs, microservices, and Azure cloud components; own features from architecture through deployment, testing, and documentation. Contribute to CI/CD, observability, infrastructure automation, Agile ceremonies, and architectural decisions. Collaborate cross-functionally and mentor engineers while delivering scalable software for clean energy and municipal clients.

Lead the architecture, governance, integration, and implementation of Salesforce Sales Cloud and Service Cloud platforms. Design scalable data models, automation, AI capabilities, and secure enterprise integrations using MuleSoft, AWS, REST, and OAuth. Drive technical debt reduction, platform standards, roadmap evolution, and multi-org solutions. Mentor Salesforce developers and administrators while partnering with business and engineering leaders on strategic transformation initiatives.

Build and evolve scalable, performant software services supporting production AI systems. Responsibilities include writing quality code, designing cloud-neutral microservices, optimizing and deploying AI models, contributing to architecture and design discussions, leading the software development lifecycle, mentoring engineers, and collaborating cross-functionally. The role requires expertise in Go or another major programming language, Python, DevOps technologies, cloud architecture, databases, and scalable service development.

Designs, develops, tests, and maintains software for semiconductor manufacturing equipment. Builds machine-control applications for motion systems, robotics, laser processing, vision, and factory automation. Integrates PLCs, controllers, sensors, and process hardware; supports debugging, validation, customer installations, and acceptance testing. Collaborates across engineering disciplines, participates in reviews, investigates field issues, documents solutions, and mentors junior engineers.

Develop and architect scalable iOS applications serving millions of users. Collaborate with Product, Design, and Engineering to deliver features, promote clean architecture and iOS best practices, monitor performance and crash analytics, and guide technical excellence. Requires strong Swift, SwiftUI, MVVM, API integration, persistence, testing, and code quality expertise.

Design and maintain scalable Java services, distributed applications, real-time streaming pipelines, GraphQL APIs, and PostgreSQL-based operational data stores. Integrate systems with Databricks and Microsoft Azure, implement CI/CD, troubleshoot complex cloud and data-platform issues, and contribute to architecture, engineering standards, documentation, and mentoring. The role emphasizes event-driven design, resiliency, observability, secure development, and effective use of generative AI tools.

Leads architecture, development, testing, debugging, profiling, and optimization of SDK power-management software for low-power ARM Cortex-M MCUs. Responsibilities include clock and memory management, low-power modes, RTOS ports, power modeling, system-level optimization, technical reviews, cross-functional issue resolution, and mentoring. The role requires hands-on embedded firmware development and technical leadership across hardware, software, validation, and vendor teams.

Leads the design, development, and rollout of integrations and data pipelines for BrazeAI Decisioning Studio. Builds fault-tolerant, event-driven ingestion and activation systems across warehouses, APIs, file drops, and streaming sources. Owns production reliability, observability, incident resolution, multi-region compliance, and data residency. Partners with data science and product teams, mentors engineers, and establishes technical direction and engineering standards.

Build, support, and optimize enterprise applications using Workday Extend. Develop and maintain Workday integrations with Studio, Orchestrate, Core Connectors, EIBs, REST, SOAP, and Workday Web Services. Translate business needs into secure technical solutions, improve application performance, automate workflows, support CI/CD and monitoring, troubleshoot production issues, participate in Agile delivery, and mentor junior engineers. The role also contributes to architecture, code reviews, technical debt reduction, and ongoing platform modernization.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Design, build, and operate shared data-platform capabilities for ingestion, streaming, replication, orchestration, transformation, and developer self-service. The role owns Kafka/MSK, Airflow, dbt, Snowflake, connectors, schemas, observability, security, reliability, and platform APIs. It also mentors engineers, supports incident response, documents paved paths, and develops AI-assisted workflows for onboarding, diagnostics, schema validation, and operational automation.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Design and build scalable Go or Rust backend services and data pipelines for asset discovery, recognition, and enrichment. Solve distributed-systems challenges involving concurrency, fault tolerance, and high-throughput processing. Integrate AI and ML capabilities, use AI-assisted development tools, contribute to architecture and technical standards, mentor engineers, and participate in code reviews and continuous improvement.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Leads the design, development, and maintenance of scalable backend services and distributed systems for GM Commercial Software. Builds customer-facing capabilities, improves code quality and engineering efficiency, contributes to architecture discussions, collaborates across product and engineering teams, explores new technologies, and mentors early-career engineers.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.