Back-End Engineer, Automation Anywhere

Agentic AI

$155-180k

+ Discretionary bonus and equity

SQL

AWS

Docker

Kubernetes

GCP

Python

Java

Kafka

Elasticsearch

Node.js

Postgres

Azure

Spring

REST API

Mid and Senior level

San Francisco Bay Area

Remote from US

More information about location

Enterprise AI agents for business processes

Job no longer available

Enterprise AI agents for business processes

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Job no longer available

$155-180k

+ Discretionary bonus and equity

SQL

AWS

Docker

Kubernetes

GCP

Python

Java

Kafka

Elasticsearch

Node.js

Postgres

Azure

Spring

REST API

Mid and Senior level

San Francisco Bay Area

Remote from US

More information about location

1001+ employees

B2BArtificial IntelligenceInternal toolsSaaSAutomation

Company mission

To democratise automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.

Job

Company

Role

Who you are

You're excited by innovation, scale, and purposeful engineering — this is your opportunity to make an impact
4+ years of experience in back-end development
Proficient in Java and one or more of the other server-side languages and frameworks (e.g., Node.js, Python, or similar)
Strong knowledge of RESTful API design, microservices architecture
Strong experience with Spring framework, including REST APIs, security, data access, and configuration
Experience in relational and NoSQL database systems (e.g., PostgreSQL, SQL Server, CDB, Elasticsearch)
Exposure to message brokers like Kafka or ActiveMQ
Understanding of the client-server model, authentication, and authorization mechanisms
Familiarity with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, Azure, or GCP)
Experience with automation tools, observability stacks, or security best practices a plus
System Architecture & Scalability – Expertise in designing and building robust, scalable backend systems and microservices that support enterprise-grade APA workloads
API Design & Integration – Proficient in building clean, secure, and high-performance APIs that power seamless integration between AI agents, automation, and human workflows
Performance & Reliability Engineering – Skilled in identifying system bottlenecks, tuning performance, and ensuring backend services are observable, resilient, and production-ready
Security & Data Integrity – Deep understanding of secure coding practices, authentication protocols, and data governance in cloud and enterprise environments
Collaboration & Engineering Leadership – Strong communicator and mentor who contributes to a culture of shared ownership, continuous improvement, and technical excellence across teams

What the job involves

As a Back-End Engineer, you’ll play a key role in building and optimizing the core services that power our APA platform
You'll collaborate with cross-functional teams to develop scalable APIs, data processing pipelines, and backend infrastructure that enable AI-powered agents and human users to work in harmony
Who you’ll report to: Director of Engineering, AI Agent Studio
You'll be bulding robust REST APIs, services, and backend infrastructure to support business applications
Working cross-functionally with Front-End Engineers, Product Managers, QA, and Support teams to deliver end-to-end features
Writing clean, maintainable, and scalable code. Participating in design and code reviews to uphold engineering excellence
Identifying bottlenecks and improve the performance, reliability, and scalability of existing systems
Recommending and adopt modern backend technologies, frameworks, and processes to improve development speed and maintainability
Sharing best practices and support junior developers through guidance and reviews
Job Segment OR Key Words: SaaS, Agentic Process Automation, APA, Staff Engineer, SQL, Java, Spring, RESTful API, Generative AI

Our take

Although technology is supposed to save labor, often it doesn't feel like it, with the average desk worker stuck carrying out an increasing number of repetitive manual tasks just to make their growing software stack function. Enter Automation Anywhere, a provider of robotic process automation (RPA) software designed to handle tedious repetitive functions, freeing teams for more productive work.

RPA is a highly competitive field, with firms like Celonis attracting vast amounts of funding and Microsoft beginning to bundle RPA functionality with its business packages. What helps Automation Anywhere stand out is its use of AI to discover the processes that can be automated within a company, a task that is usually carried out by expensive consultancy firms. This has allowed Automation Anywhere to grow a huge client base, including the likes of the NHS, Dell and Staley Black & Decker.

Fueled by partnerships with Microsoft, AWS, and PwC India, Automation Anywhere is accelerating its leadership in AI-powered automation. These collaborations allow the company to deliver cutting-edge solutions and aid in its continued growth.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

13% employee growth in 12 months

Glassdoor (3.8)

Company

Company HQ

North San Jose, San Jose, CA

Leadership

Mihir Shukla

(Co-Founder & CEO)

Previously the Director of Engineering at E2Open and Infoseek, and a Consultant at Netscape.

Neeti Mehta Shukla

(Co-Founder & Chief Impact Officer)

Previously a Marketing Research Consultant for Intuit. They are also a Limited Partner at Kalaari Capital and CXXO Champion for CXXO.

Rushabh Parmani

(Co-Founder & Chief Customer Officer)

Before co-founding Automation Anywhere they were a Software Engineer at Siebel Systems.

Ankur Kothari

(Co-Founder & COO)

Previously a member of the Core Group in Siebel Systems. Since co-founding Automation Anywhere, they have been a CRO, COO, CSO and Chief Customer & Strategy Officer before becoming COO in 2023.

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