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
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Lead architecture, design, and implementation of large-scale distributed systems and modern web applications.
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Establish engineering best practices, coding standards, and development processes.
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Drive technical strategy and influence product and platform roadmaps.
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Conduct architecture reviews and ensure scalability, reliability, security, and performance.
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Mentor senior engineers and contribute to technical growth across engineering teams.
Backend Engineering
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Design and develop microservices, APIs, and event-driven architectures.
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Build highly scalable and resilient backend systems.
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Collaborate with platform teams to improve cloud infrastructure and operational excellence.
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Optimize application performance, data processing, and system reliability.
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Implement observability through monitoring, logging, and tracing solutions.
Collaboration & Innovation
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Work closely with Product Management, Architecture, Security, DevOps, and Engineering teams.
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Evaluate emerging technologies and drive adoption where appropriate.
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Participate in strategic planning, technical roadmaps, and innovation initiatives.
Required Qualifications
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Bachelor's or Master's degree in Computer Science, Engineering, or related field.
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12+ years of software engineering experience with at least 5+ years in technical leadership roles.
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Proven experience designing and delivering enterprise-scale software solutions.
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Strong expertise in software architecture, distributed systems, and cloud-native development.
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Excellent communication and stakeholder management skills.
Technical Skills
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Bachelor's or Master's degree in Computer Science, Engineering, or related field.
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Strong expertise in Core Java, including:
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Concurrency and Multithreading
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Generics
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Collections Framework
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JVM internals, Garbage Collection, Memory Management
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Strong understanding of Operating System concepts, Containers, and Hypervisors.
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Expertise in RESTful API design, versioning, security, and performance optimization.
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Experience designing and building distributed systems at scale.
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Deep understanding of:
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Microservices architecture
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Event-driven architecture
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Service-to-service communication patterns
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Experience with cloud platforms (Azure, AWS, or GCP).
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Strong knowledge of:
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Kubernetes and container orchestration
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CI/CD pipelines
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Infrastructure as Code
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Expertise in database design and performance optimization:
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SQL databases
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NoSQL databases
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Data modeling and indexing strategies
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Strong understanding of:
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System reliability
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Observability
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Monitoring
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Logging
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Distributed tracing
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Experience with system performance analysis, tuning, and troubleshooting in production environments.
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Knowledge of security best practices, including authentication, authorization, encryption, and secure software development.
AI and Modern Engineering
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Understanding of AI-powered applications, AI agents, Agentic workflows, and LLM-based solutions.
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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.
