Associate Application Delivery Consultant

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

Application Modernization Platform (“AMP”) is a MongoDB offering that modernises our customer’s legacy relational applications to a modern architecture underpinned by MongoDB using a combination of software, process, and engineers. In this offering, the people and software are inextricably linked and cannot be separated. The delivery happens in an accelerated timeframe wherein the team takes advantage of GenAI and algorithmic tooling to expedite the turn around time for application delivery.

AMP team generally works with enterprise grade customers, in all verticals on a variety of exciting use cases. This role solves technically sophisticated problems, gains incredible cross-stack experience, works with top-notch people in the business, addresses multiple customer facing opportunities. The role also becomes the forefront of groundbreaking R&D that enables further acceleration for enterprises working across a variety of technologies.

AMP exists to expedite time to value for customers who are looking forward to changing, modernising and updating their tech stack while keeping MongoDB the cornerstone of their system architecture.

Work as a software developer in an Agile environment delivering solutions for customers focussed on migrating our customers’ legacy relational-based Java applications to a more modern cloud-based architecture running on MongoDB, leveraging the latest GenAI tools and approaches to accelerate this process. During each project, successful candidates will be required to innovate on potential new GenAI-based solutions for specific challenges in addition to applying existing playbooks and tooling for migration.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Position Expectations

• Assist in the development, testing, and deployment of Java-based applications using Spring Boot
• Write clean, maintainable code following standard software development principles
• Constantly learning and open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements
• Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB
• Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project
• Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable
• Be prepared to change project direction if customer or account team priorities change

Requirements

Nice-to-have skills

Successful candidates will engage with customer systems and may be exposed to highly confidential customer data, including but not limited to non-public information. For this reason, and due to the nature of the highly regulated industry in which our customers operate, successful candidates may be subject to enhanced background checks, security screenings, and possible constraints around the trading of securities. Successful candidates will understand these requirements and be willing to participate in enhanced screenings and constraints as required by MongoDB and its customers in connection with this role.