Director - Software Engineering

Product Development Bengaluru, Karnataka


Automation Anywhere is the leader in intelligent automation solutions that put AI to work across every aspect of an organization. The company’s Automation Success Platform is infused with generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. With more than 5,000 customers worldwide, Automation Anywhere enables organizations to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through intelligent automation. Learn more at

According to Gartner, Automation is expected to add an estimated $15 trillion benefit to the global economy by 2030. Automation Anywhere, Inc. is well-positioned to benefit directly from this trend through Automation 360 (A360), our most complete cloud-native intelligent automation platform. Document Automation is our flagship Intelligent Document Processing (IDP) product that combines the RPA Platform with AI technologies to classify, extract and validate document data. It is natively integrated with the A360 platform and is built for enterprise scale and resiliency. More importantly, recent advances in the Generative AI (GenAI) space have opened up a wide range of opportunities to further expand the scope of this solution across structured, semi-structured and unstructured document types. We are excited about the future ahead for this product and are looking for an energetic engineering leader to join this journey.

As a Director of Engineering at the India Development Centre (based in Bangalore, India), you will manage all technology-related tasks and the day-to-day operations, staffing, and consistent creation of software to enable business needs. You will lead the Centre’s development staff to enhance existing systems and fulfill the business needs. You will maintain the appropriate quality of design, development, and documentation, and create a learning organization of developers. You are a leader who has expertise and judgment in working across multiple functional areas within an organization and has previous experience in successfully building, and mentoring large software development teams.

Responsibilities -

Lead the software development efforts for Intelligent Document Processing (IDP) products including Document Automation and IQ Bot from India Software Development Center.

Provide Engineering leadership and direction for Software Development and SDET teams. Partner effectively with cross-functional counterparts in Product Management, Data Science, UI/UX, Cloud and Support organizations to deliver industry-leading features to the market.

Champion the cutting-edge technologies in the AI/ML areas and utilize them effectively to solve complex, enterprise-scale problems in the Automation/IDP space.

Focus on consistent delivery of software and systems that move the company towards achieving short and long-term objectives. Implement and continuously iterate on the company's Agile Software Development lifecycle.

Ensure delivery of high-quality software through code reviews, unit tests coverage, automation coverage and metrics/measurements.

Hire, mentor and retain exceptional talent, and create an environment for them to excel in their career.

Proven experience in dealing with high-profile customers, handling customer demands, and resolving customer issues effectively.

Bring accountability to the organization by developing OKRs and executing them flawlessly.

Qualifications -

Degree in Computer Science or the equivalent STEM field, plus a minimum of 12 years of hands-on experience in a Software Development role preferably for an enterprise-scale B2B product/platform/service. A masters degree is a plus.

7+ years of technical people management experience leading high-performance teams of Architects, Engineers and Managers.

Experience building and scaling AI / ML products for the Enterprise by working closely with Data Scientists, Data Engineers and Infra/ML Ops Engineers.

Ability to deep-dive comfortably into technical and design aspects, ask key questions, and facilitate solutions to complex software engineering problems.

Ability to manage multiple tasks, be detail-oriented, responsible and show a high level of critical thinking.

Ability to thrive within a fast-paced environment by deftly navigating and managing change.

Excellent communication (verbal/written), organizational and interpersonal skills, including communicating successfully across multiple geographical locations and cultures.

Solid experience interacting directly with large-scale customers, and excellent customer management skills.

Nice to have -

Solid working knowledge of object-oriented programming using strongly typed languages. Exposure to Java, Spring, Hibernate and related technologies is preferable.

Exposure to the Data Science field specifically in the Natural Language Processing, and Computer Vision sub-areas.

Expertise in Distributed computing, Microservices, RDBMS/SQL, NoSQL and queuing technologies.

Expertise with cloud computing services (AWS, GCP) and Kubernetes-based deployments.

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