- Location
- IN Bengaluru, India
- Workplace
- Remote, Onsite
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Education
- Master
- Closing date
- Today
- Source
- Workday
Description
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.
