Automation Anywhere is a leader in agentic process automation, providing enterprise-grade AI-powered automation for mission-critical business processes. The company’s Agentic Process Automation…
Automation Anywhere is a leader in agentic process automation, providing enterprise-grade AI-powered automation for mission-critical business processes. The company’s Agentic Process Automation…
Enterprise process automation and productivity improvement through RPA and AI-driven orchestration.
Industry
Software Development
Funding Track Record
Series A
$250,000,000
Participation from General Atlantic and World Innovation Lab; reported as a major Series A.
Series A (expansion)- November 15, 2018
$300,000,000
Investment announced Nov 15, 2018; reported post-money valuation ~ $2.6B at the time.
Series B
$290,000,000
Reported post-money valuation $6.8B; additional participation from existing investors including SoftBank Investment Advisers and Goldman Sachs.
Founders
What we do
Join the Team
Senior Staff Software Engineer
On-SiteSan Francisco Bay Area, US
On-Site • San Francisco Bay Area, US
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Notable investors:
Who you are
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
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
What the job involves
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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
This role reports to our Sr. Director, Engineering
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
