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.