Sr. Staff Software Engineer (Conversational AI & Automation)

About Us:

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

Our opportunity:

At Automation Anywhere, we are redefining the future of work through Agentic Process Automation (APA)—a new category that combines AI agents, automation, and enterprise-grade orchestration to transform how organizations operate. As a recognized leader in APA, we enable global enterprises to move beyond traditional automation and build intelligent systems that can reason, act, and continuously improve business processes. Our platform powers mission-critical automation for some of the world’s largest organizations, helping them unlock productivity, accelerate innovation, and create entirely new ways of working.

We are seeking a Sr. Staff Software Engineer who brings strong hands-on development expertise along with technical leadership experience. In this role, you will help design, build, and evolve the core building blocks of our Conversational AI and automation platform, leveraging microservices architecture and scalable distributed systems. You will partner closely with product, data science, and engineering teams to deliver high-impact solutions while providing technical guidance, mentoring engineers, and helping shape the architecture and direction of our next generation of AI-powered automation capabilities.

Who you’ll report to:

This role reports to our Sr. Director, Engineering

Location: 

Hybrid role with regular onsite workdays in our San Jose, CA strongly preferred.  Other U.S locations may be considered.

You will make an impact by being responsible for:

• Designing, building, and delivering scalable and real-time systems with high quality, scalability, and operability in mind
• Collaborating with product management, data science, and other engineering teams to bring end-to-end solutions with the highest business value to our customers
• Reviewing and providing feedback on technical designs and code changes to ensure highly available, scalable, maintainable designs and high code quality standards to engineering peers. 
• Troubleshooting and resolving complex technical issues that arise in production and provide timely resolutions
• Proactively identifying areas of technical debt and improvement opportunities, and drive solutions or innovation in engineering organization
• Taking operational ownership of the system by using monitoring and observability tools to identify and resolve production issues
• Mentoring and coaching team members to raise the technical bar on the team and adapt AI assistant development

You will be a great fit if you have: 

• Bachelor's degree in Computer Science, Software Engineering, or a related field 
• 7+ years hands-on experience with microservices and scalable software development in an Automation or AI environment preferred
• Experience with distributed systems, large-scale data, and the full software lifecycle of modern computer languages (Java, Python, etc.)
• Solid understanding of software development principles, design patterns, and best practices 
• Proficiency in database design and integration, including SQL and NoSQL databases
• Experience with cloud platforms (e.g AWS, GCP) is highly desired 
• Familiarity with SaaS concepts and experience in developing SaaS-based applications is a plus
• Domain knowledge experience with ServiceNow, Salesforce, workflow, business process etc. preferred 
• Experience with building machine learning products preferred  

You excel in these key competencies: 

• Collaborative Communication – Ability to work effectively with product managers, data scientists, and cross-functional engineering teams to deliver high-value solutions
• Analytical Problem Solving – Strong critical thinking and troubleshooting skills to diagnose complex production issues and develop effective, scalable solutions
• Ownership & Accountability – Demonstrates end-to-end responsibility for system reliability, performance, and operational excellence, including proactive monitoring and issue resolution
• Technical Leadership & Mentorship – Ability to guide, mentor, and elevate other engineers while fostering best practices in system design, code quality, and AI-assisted development
• Continuous Improvement Mindset – Proactively identifies technical debt, improvement opportunities, and innovative solutions to enhance system scalability, performance, and engineering practices

The base salary range for this position is $175,000 – $200,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.

Ready to Revolutionize Work? Join Us.

This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere.  Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.

Job Segment OR Key Words: SaaS, Software Engineer, AI, Automation, Agentic Process Automation, SQL, Java, Python

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Benefits and perks you’ll appreciate:

• Flexible work schedule / remote roles
• Unlimited Personal Time Off
• 12 holidays off per year
• 4 days volunteer time off per year
• Eligible for 4 company Achievement days off per year
• Variety of health care and well-being benefits
• Paid family/parental leave
• We are a designated “Best Place to Work” for 2 years in a row! Learn more here
• Newsweek’s Top 100 Most Loved Workplaces in America 2023 – Learn more here