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.
Job Title: Senior Staff Engineer
Location
Bengaluru, India (Onsite)
Job Summary
We are seeking an experienced and highly skilled Senior Staff Engineer to provide technical leadership, architectural direction, and hands-on development across our full technology stack. This role will drive the design and development of scalable, secure, and high-performing applications while mentoring engineering teams and collaborating with cross-functional stakeholders.
The ideal candidate possesses deep expertise in both backend and frontend technologies, strong system design capabilities, and a passion for building enterprise-grade solutions that deliver exceptional customer experiences.
Key Responsibilities
Technical Leadership
- Lead architecture, design, and implementation of large-scale distributed systems and modern web applications.
- Establish engineering best practices, coding standards, and development processes.
- Drive technical strategy and influence product and platform roadmaps.
- Conduct architecture reviews and ensure scalability, reliability, security, and performance.
- Mentor senior engineers and contribute to technical growth across engineering teams.
Backend Engineering
- Design and develop microservices, APIs, and event-driven architectures.
- Build highly scalable and resilient backend systems.
- Collaborate with platform teams to improve cloud infrastructure and operational excellence.
- Optimize application performance, data processing, and system reliability.
- Implement observability through monitoring, logging, and tracing solutions.
Collaboration & Innovation
- Work closely with Product Management, Architecture, Security, DevOps, and Engineering teams.
- Evaluate emerging technologies and drive adoption where appropriate.
- Participate in strategic planning, technical roadmaps, and innovation initiatives.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 12+ years of software engineering experience with at least 5+ years in technical leadership roles.
- Proven experience designing and delivering enterprise-scale software solutions.
- Strong expertise in software architecture, distributed systems, and cloud-native development.
- Excellent communication and stakeholder management skills.
Technical Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong expertise in Core Java, including:
- Concurrency and Multithreading
- Generics
- Collections Framework
- JVM internals, Garbage Collection, Memory Management
- Strong understanding of Operating System concepts, Containers, and Hypervisors.
- Expertise in RESTful API design, versioning, security, and performance optimization.
- Experience designing and building distributed systems at scale.
- Deep understanding of:
- Microservices architecture
- Event-driven architecture
- Service-to-service communication patterns
- Experience with cloud platforms (Azure, AWS, or GCP).
- Strong knowledge of:
- Kubernetes and container orchestration
- CI/CD pipelines
- Infrastructure as Code
- Expertise in database design and performance optimization:
- SQL databases
- NoSQL databases
- Data modeling and indexing strategies
- Strong understanding of:
- System reliability
- Observability
- Monitoring
- Logging
- Distributed tracing
- Experience with system performance analysis, tuning, and troubleshooting in production environments.
- Knowledge of security best practices, including authentication, authorization, encryption, and secure software development.
AI and Modern Engineering
- Understanding of AI-powered applications, AI agents, Agentic workflows, and LLM-based solutions.
- Understanding MCP, tool-calling frameworks, RAG architecture, prompt engineering, and AI system evaluation.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 12+ years of software engineering experience
- 5+ years in technical leadership roles
- Experience designing and delivering enterprise-scale software solutions
- Strong expertise in software architecture, distributed systems, and cloud-native development
- Strong Core Java expertise, including concurrency, multithreading, generics, collections, JVM internals, garbage collection, and memory management
- Strong understanding of operating system concepts, containers, and hypervisors
- Expertise in RESTful API design, versioning, security, and performance optimization
- Experience designing and building distributed systems at scale
- Deep understanding of microservices, event-driven architecture, and service-to-service communication patterns
- Experience with at least one cloud platform: Azure, AWS, or GCP
- Strong knowledge of Kubernetes, container orchestration, CI/CD pipelines, and Infrastructure as Code
- Expertise in SQL and NoSQL database design, data modeling, indexing, and performance optimization
- Strong understanding of system reliability, observability, monitoring, logging, and distributed tracing
- Experience with system performance analysis, tuning, and production troubleshooting
- Knowledge of authentication, authorization, encryption, and secure software development practices
- Understanding of AI-powered applications, AI agents, agentic workflows, and LLM-based solutions
- Understanding of MCP, tool-calling frameworks, RAG architecture, prompt engineering, and AI system evaluation
- Excellent communication and stakeholder management skills
Automation Anywhere Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Automation Anywhere and has not been reviewed or approved by Automation Anywhere.
-
Fair & Transparent Compensation — Pay is considered competitive to above average in many core roles, with sales and senior go-to-market positions noting strong on-target earnings and competitive packages. Feedback suggests several technical and leadership roles also view salary as a recurring strength.
-
Leave & Time Off Breadth — Time off includes unlimited PTO in many postings, company holidays, volunteer days, and additional quarterly “Achievement Days” to unplug. Feedback suggests this breadth provides meaningful opportunities to rest and recharge.
-
Flexible Benefits — Work practices emphasize flexible and hybrid arrangements, with remote options supported across roles. Feedback suggests this flexibility is a notable component of the total rewards experience.
Automation Anywhere Insights
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity. With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies. Industry Awards and highlights: · Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation · Named a Leader in Forrester Wave · Named a Leader and Star Performer in Everest Peak Matrix · Named a Leader in Nelson Hall NEAT Intelligent Automation Report · G2 Crowd 2020 Best Software Company · First Cloud-native digital workforce platform · 850+ pre-built, intelligent automation solutions · Bot security and IP protection · SaaS packages · Over 1.4M courses completed in Automation Anywhere University · Free AI-powered Community edition Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
