Sr. Software Engineer; Conversational AI & Automation
Listed on 2026-05-31
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Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer, Backend Developer
Sr. Staff Software Engineer – Conversational AI & Automation
This role reports to the Sr. Director, Engineering.
Location:
Hybrid role with regular onsite workdays in San Jose, CA (preferred). Other U.S. locations may be considered.
- 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 driving solutions or innovation in the 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.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field.
- 7+ years of 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 No
SQL databases. - Experience with cloud platforms (e.g. AWS, GCP) is highly desired.
- Familiarity with SaaS concepts and experience developing SaaS‑based applications is a plus.
- Domain knowledge of Service Now, Salesforce, workflow, business process, etc. (preferred).
- Experience 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 and improvement opportunities to enhance system scalability, performance and engineering practices.
- Base salary range: $175,000 – $200,000 per year.
- Discretionary bonus, equity and a full range of medical and other benefits.
- Flexible work schedule / remote roles.
- Unlimited personal time off.
- 12 holidays off per year.
- 4 days volunteer time off per year.
- 4 company achievement days off per year.
- Variety of health care and well‑being benefits.
- Paid family/parental leave.
Automation Anywhere is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email recr At this time, we typically do not offer visa sponsorship for this position.
Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.
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