Sr. Software Development Engineer - Workday & Enterprise Systems

🏢 Avalara · all Avalara jobs (5)
📍 Remote · India
💰 ₹3,740,700 - ₹6,733,100 / year
📅 Posted 2026-09-08 · via RemoteIO
🏷 Workday,Software Development,Automation Testing,API Integration,AI Development
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What You'll Do
This role exists to support and scale Avalara's Workday development and enterprise system integrations at a time of increasing demand, growing backlog, and critical initiative delivery. Following recent attrition, this position is essential to ensure continuity, delivery velocity, system reliability, and sustainable engineering execution across Workday and related enterprise platforms.
The Sr. Software Engineer will be responsible for delivering high-quality engineering outcomes across Workday development, integrations, automation, and enterprise system initiatives. Own and deliver Workday development, integrations, enhancements, and related engineering work with a focus on reliability, scalability, maintainability, and business impact.
Contribute to high-priority engineering initiatives including AvaTax development, ELR readiness through planned SRR/ARB work, AP cutover support for Canada and the USA, and automation testing for new and existing features. Reduce backlog by delivering high-impact engineering work with strong prioritization, execution discipline, and ownership from requirements through production support. Improve system performance, stability, observability, and maintainability across Workday and related enterprise platforms.
Build and improve automation capabilities to reduce manual effort, improve testing coverage, accelerate delivery, and reduce operational risk. Collaborate cross-functionally with product, finance, tax technology, PM, EIE, and engineering stakeholders to deliver business-critical outcomes. Support the engineering Confluence overhaul by improving documentation quality, standardizing knowledge repositories, and reducing dependency on tribal knowledge.
Participate in code reviews, design discussions, testing strategy, release readiness, and operational support activities to ensure high-quality delivery. Identify opportunities to simplify complex workflows, improve engineering processes, and increase team productivity through better tooling, automation, and AI-assisted development practices.
12-Month Success Signals
Success in the first 12 months will be measured by the candidate's ability to deliver measurable engineering, operational, and business outcomes. Reduced backlog across Workday development and related enterprise system work through consistent delivery of high-priority engineering items. Improved cycle time and execution predictability for Workday enhancements, integrations, automation testing, and related development work. Supported successful delivery of key initiatives including AvaTax development, ELR readiness through planned SRR/ARB work, AP cutover support for Canada and the USA, and other roadmap commitments.
Improved system reliability, maintainability, and supportability through better design, cleaner implementation, improved testing, and stronger operational practices. Increased automation coverage and reduced manual effort in development, testing, release, or support workflows. Contributed to a more complete, accurate, and usable engineering Confluence knowledge base that improves onboarding, supportability, and team execution. Reduced dependency bottlenecks by taking ownership of core areas and sharing knowledge effectively with peers. Demonstrated strong judgment in technical tradeoffs involving speed, reliability, maintainability, scalability, and operational risk. Applied AI tools in practical ways that improved speed, quality, documentation, testing, or engineering productivity.
AI Expectations (AI Bar Raiser)
Avalara is an AI-first company, and this role is expected to use AI in practical, responsible, and measurable ways to improve engineering outcomes. Use AI-assisted development tools to accelerate coding, debugging, test creation, documentation, and integration analysis. AI to improve quality and speed in Workday development, automation testing, API/integration work, and troubleshooting. Use AI to support better documentation practices, i

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