Software Engineer

AutoStore System•San Jose, CA

1d•Hybrid

About The Position

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. We’re looking for a driven Engineer who is energized by solving complex, real-world challenges and making a meaningful impact for customers. At Automation Anywhere—the leader in Agentic Process Automation (APA)—you’ll play a critical role in sustaining and strengthening our core product operations, as outlined by leadership, while operating at the intersection of cutting-edge AI, automation, and customer success. Acting as a trusted technical partner, you’ll collaborate closely with customers and internal teams to diagnose and resolve production issues, implement scalable and durable solutions, and ensure the ongoing stability, reliability, and performance of our platform. Through hands-on troubleshooting, code-level fixes, and continuous improvement initiatives, you’ll help maintain mission-critical systems, elevate the customer experience, and support the long-term health and evolution of our enterprise-scale automation platform.

Requirements

Bachelor's Degree in Computer Science or similar field
2+ years of professional experience in full stack development
Strong programming skills with experience debugging and fixing production code
Demonstrated ability to troubleshoot complex technical issues systematically
Experience working with version control systems (Git) and creating pull requests
Genuine passion for customer success and problem-solving
Proficiency in both frontend and backend technologies
Understanding of web application architecture, APIs, and databases
Familiarity with observability and monitoring tools
Ability to quickly learn new codebases and technical domains
Understanding the needs of a Performance Oriented System and having worked on one
Excellent communication skills with the ability to explain technical concepts to various audiences
Strong sense of ownership and accountability for customer outcomes
Empathy and patience when working with frustrated customers in high-pressure situations
Collaborative mindset with the ability to work effectively across teams
Growth mindset with eagerness to learn from every challenge
Self-motivated with strong organizational and follow-up skills

Nice To Haves

Experience with cloud platforms and distributed systems is a plus

Responsibilities

Partnering with various customer facing teams to connect with customers and partners to gather detailed information about production issues, demonstrating empathy and technical acumen
Quickly assessing situations to provide workarounds that unblock customers while permanent solutions are developed
Maintaining clear, proactive communication throughout the resolution process to build and maintain customer trust
Partnering closely with Support and CloudOps teams to ensure seamless customer experiences
Investigating and diagnosing complex issues across the full stack using AI-powered observability tools and traditional debugging techniques
Diving deep into codebases to identify root causes of production incidents
Creating well-documented pull requests with fixes and route them to subject matter experts for expedited review
Following up diligently with Product and Engineering teams to ensure timely resolution and deployment of fixes
Analyzing patterns in customer issues to identify opportunities for product improvements
Contributing to building stronger observability and monitoring capabilities
Documenting troubleshooting processes and solutions to build a knowledge base for the team
Participating in post-incident reviews with a learning mindset, focusing on prevention and process improvements
Working closely with Support, CloudOps, Product, and Engineering teams to deliver fast, reliable resolutions
Advocating for customer needs within internal teams while balancing technical constraints
Sharing insights from customer interactions to inform product roadmap and quality initiatives