Avalara's Content Engineering platform supports the compliance content that helps customers manage complex obligations across jurisdictions and product lines.
In this role, you will help modernize the compliance content lifecycle by building scalable, reliable, cloud-native systems that make it faster and easier to onboard new content types.
You will apply distributed systems expertise, full-stack engineering, and practical AI automation to improve speed, accuracy, reliability, and operational efficiency. This role sits within Content Engineering team and you will be reporting to Senior Manager, ML Engineering.
Job Details :
- Build scalable AI-enabled platforms and distributed systems that automate and accelerate the compliance content lifecycle.
- Design reusable platform capabilities, application programming interfaces, and cloud-native services that support new compliance content types.
- Make architecture decisions that improve scalability, reliability, resiliency, observability, and operational efficiency.
- Operationalize AI capabilities using modern orchestration and agentic frameworks to improve automation, accuracy, and delivery speed.
- Establish engineering standards for continuous integration and delivery, automated testing, deployment automation, and production operations.
- Improve platform performance, latency, throughput, reliability, and cost efficiency at scale.
- Partner with engineering, infrastructure, product, and data teams to deliver measurable customer and business outcomes.
- Apply evaluation, monitoring, and deployment practices that improve AI-enabled system performance in production.
- Mentor engineers and raise team capability in distributed systems, cloud engineering, software architecture, and responsible AI adoption.
- Create reusable engineering patterns that improve long-term scalability and delivery :
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 8+ years of software engineering experience building scalable, distributed production systems.
- Strong experience with distributed systems design, system architecture, cloud-native development, and at least one major cloud platform such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
- Full-stack engineering experience across backend services, application programming interfaces, relational databases, scalable data access patterns, and modern web technologies.
- Experience building AI-enabled applications using Python, modern AI frameworks, and machine learning operations practices such as evaluation, monitoring, and deployment workflows.
- High ownership and a track record of improving engineering quality, mentoring others, and using AI responsibly to drive measurable gains in speed, quality, automation, and business impact.
Senior Software Engineer IV - Distributed Systems • Delhi, IN
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