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.