
Automation Anywhere is a leader in agentic process automation, providing enterprise-grade AI-powered automation for mission-critical business processes. The company’s Agentic Process Automation…

Automation Anywhere is a leader in agentic process automation, providing enterprise-grade AI-powered automation for mission-critical business processes. The company’s Agentic Process Automation…
Company: Automation Anywhere
Headquarters / Reach: Headquartered in the United States; operates globally
Core product: Cloud-native RPA and agentic process automation platform (AI/ML, analytics, document processing)
Employees (approx.): 6400
Total funding reported: $840M–$845M (reported aggregates)
SoftBank Vision Fund, NEA, Goldman Sachs Growth Equity, Salesforce Ventures
Enterprise process automation and productivity improvement through RPA and AI-driven orchestration.
Software Development
$250,000,000
Participation from General Atlantic and World Innovation Lab; reported as a major Series A.
$300,000,000
Investment announced Nov 15, 2018; reported post-money valuation ~ $2.6B at the time.
$290,000,000
Reported post-money valuation $6.8B; additional participation from existing investors including SoftBank Investment Advisers and Goldman Sachs.
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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.
Description StaffJava backend Engineer: Responsibilities
Requirements
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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6+ years of prior experience in the design and architecture of complex software systems.
Extensive experience in Java and in development of Backend services, Micro services , Java frameworks
Python with experience in frameworks like FastAPI/Flask
Strong Object-Oriented skills, including an understanding of common object and web application design patterns
Hands-on experience in implementing design patterns in Java
Strong working knowledge of Core Java, REST APIs like Java API for RESTful Web Services (i.e. JAX-RS, Spring, SparkJava) and gRPC. OpenAPI/Swagger for API documentation
Spring Boot (Java), Express.js (Node.js)
Hands-on experience with Logging (Log4j), and Unit Testing using JUnit / TestNG using Mocking frameworks such as Mockito, EasyMock, RestAssured.
Experience working with enterprise applications using Spring and Hibernate.
Experience working with SQL Queries and database servers like MSSQL Server, Oracle, MySQL. Experience in Database Kernel, Query Optimizer, and Database Applications.
Vector DBs: FAISS, Pinecone, ElasticSearch and Opensearch - Embeddings and semantic search. RAG (Retrieval-Augmented Generation)
Using ONNX, TorchScript, or TensorFlow Serving
Hugging Face Transformers or custom PyTorch/TensorFlow models
Optimizing prompts for accuracy, latency, and cost
Must have experience in working with version control systems like GIT, SVN, etc. and build tools like Gradle and Maven.
Experience in software development with continuous integration and delivery.
Good code review skills and an understanding of clean code and design.
Experience working with agile and test-driven development.
Knowledge of different web servers like Tomcat and Jetty.
Great communication skills.
A Self-starter with the ability and drive to take requirements for completion.
Exposure to front end design and development and usability best practices.
Understanding of API security principles and best practices
Knowledge and hands on experience of scalable architecture patterns and techniques is a huge plus
Strong problem-solving and analytical skills with exposure to real customer problems.
Bachelor's or Master's degree in Computer Science strongly preferred.
Exposure to AI/ML/GenAI technologies and use in designing cutting edge solutions.
Exposure to complex real world customer problems and solutions.
Optional but useful:
Knowledge of A/B Testing frameworks
Experience with LangChain, LlamaIndex (for LLM apps)