Bigcommerce
Staff Software Engineer
Austin, TX · Staff+
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Green-card follow-through: 60%
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About the role
- We also consider internal equity to help ensure fair and consistent pay practices across our teams.
Responsibilities
- Lead the design, development, and evolution of scalable, reliable, high-performance distributed systems
- Drive architectural discussions that span multiple domains across the platform, and participate in cross-domain architectural working groups
- Evaluate emerging AI infrastructure and development practices, and advocate for adoption where they deliver clear customer or engineering value
- Build and maintain high-performance, reliable, and secure software systems.
- Lead by example in writing testable, maintainable code that meets high quality standards
- Participate in and lead in-depth code reviews, advocating for best practices that improve software quality and reliability
- Build tools and frameworks that enable faster, safer delivery of value by other engineers
- Collaborate effectively with software engineers, product managers, designers, and stakeholders across global teams to translate business requirements into technical solutions
- Proven experience in architecting, building, and maintaining large-scale distributed systems
- Solid grasp of software design principles, testing strategies, and modern development practices
Requirements
- Minimum of 10 years of professional software engineering experience delivering production systems
- Expertise in back-end development with two or more server-side languages (e.g., PHP, Go, Scala, Java, Python, Ruby)
- Strong understanding of distributed systems concepts, including consensus, consistency, and fault tolerance
- Experience with cloud platforms (AWS, GCP, or similar) and microservices architecture
- Solid experience with SQL, in-memory storage, and other data storage solutions
- Experience operating and monitoring services in production, including familiarity with observability tooling (e.g., Sentry, Kibana, Datadog)
- Proven track record of technical leadership and mentorship
Nice to have
- Familiarity with modern AI infrastructure, such as vector databases, model orchestration tools, inference frameworks, and cloud-native ML workflows
- Experience with SaaS or multi-tenant platforms operating at significant scale
- Work Where You Thrive
- (Pay Transparency Range: $186,000.00 - $280,000.00)
- Compensation Transparency
- Details will be shared during the hiring process.
- Inclusion and Belonging
- If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Skills
- Welcome to the Agentic Commerce Era
- growing their businesses.
Compensation
- Compensation Transparency
Benefits
- Drive initiatives to integrate AI technologies, including machine learning models and GenAI solutions, into existing and future products
Company info
- Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem.
- We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role.
- If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.
Visa & Work Authorization
- solicit money to complete visa requirements as part of a job offer.
This listing is sourced directly from Bigcommerce's careers page and normalized into a canonical job model.