Automation Anywhere

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…

automationanywhere.com

Automation Anywhere

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…

automationanywhere.com

HQUS

Team Size6400

Open Jobs12

Total Funding$840M

Latest FundraiseUnknown

TL;DR

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

Company Overview

Problem Domain

Enterprise process automation and productivity improvement through RPA and AI-driven orchestration.

Industry

Software Development

Funding Track Record

Series A

$250,000,000

Participation from General Atlantic and World Innovation Lab; reported as a major Series A.

Series A (expansion)- November 15, 2018

$300,000,000

Investment announced Nov 15, 2018; reported post-money valuation ~ $2.6B at the time.

Series B

$290,000,000

Reported post-money valuation $6.8B; additional participation from existing investors including SoftBank Investment Advisers and Goldman Sachs.

Founders

What we do

Join the Team

Staff Back-End Engineer

On-SiteBengaluru, Karnataka, IN

On-Site • Bengaluru, Karnataka, IN

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Notable investors:

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

Technical Leadership: Lead and mentor a team of Java developers, providing technical direction, code reviews, and best practices guidance.
Architectural Design: Collaborate with architects and senior developers to design scalable and maintainable Backend solutions.
API Design: Design and maintain APIs, ensuring they are well-documented, easy to use, and meet business requirements
AI first: Propose, do POCs for, and incorporate the right set of AI and ML artefacts into our product to further the Agentic process orchestration portfolio. Work on and solve problems related to the Data science, and data models, to create differentiated value and soltiions around intent recognition, suggestions, and summarization as related to Automation anywhere suite of products.
Software Development: Actively participate in coding and development tasks, contributing high-quality Java code to the project.
Monitoring and Logging: Set up monitoring and logging tools to track API performance and diagnose issues
Third-Party Integrations: Integrate with third-party services and APIs as required by the application.
Database Management: Oversee database design, optimization, and management for backend services
Testing: Be hands-on with testing methodologies and frameworks (e.g., unit testing, integration testing).
Scalability: Plan for and implement strategies to handle increasing loads and scale backend systems as needed.
Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines to automate deployment and ensure code quality.
Code Quality: Ensure adherence to coding standards, best practices, and code quality metrics. Perform code reviews and implement improvements as needed.
Technical Documentation: Create and maintain technical documentation, including system architecture, approaches, design documents, API specifications and processes.
Problem Solving: Identify and address technical challenges, resolve complex issues, and provide innovative solutions.
Performance Optimization: Optimize Java applications for performance, scalability, and efficiency.
Collaboration: Work closely with cross-functional teams, including product owners, SDET engineers, Cloudops and DevOps, and Developers to ensure high quality software delivery using agile methodologies.
Track progress of deliverables, co-ordinate with peers to expedite things.
Maintain end-to-end responsibility of assigned modules and features.
Continuous Learning: Stay updated with the latest Java technologies and industry trends, and apply them to improve development processes.

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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AI Researcher

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Technical Writer

Part-timeBerlin, DE

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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)