Automationanywhere

Sr. Staff Engineer

India · Work style not stated · Full time

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About the role

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  • EmployerAutomationanywhere
  • LocationIndia
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

Show full description

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.

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At a glance

  • Employment typeFull time
  • SeniorityLead / Principal
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

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SQL AWS GCP Azure Kubernetes Java Stakeholder management LLM

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