Sr. Staff Engineer

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.