Automation Anywhere
9 hours ago
UI Back End Engineer
Experience : 8- 12 Years
Location : Bengaluru
Our opportunity :
At Automation Anywhere, we are on a mission to fuel the future of work by leading the way in Agentic Process Automation (APA) the next evolution of automation that combines AI agents with automation and human collaboration. Our platform empowers companies to automate complex workflows and deliver smarter, faster, and more efficient outcomes.
As a Back-End Engineer, youll 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. If you're excited by innovation, scale, and purposeful engineering this is your opportunity to make an impact.
Location : Bangalore
You will make an impact by being responsible for :
- Building 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
You will be a great fit if you have :
- 7- 12 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
You excel in these key competencies :
- 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
(ref:hirist.tech)
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