MongoDB
Application Engineer
Delivery consultant in Bengaluru modernizing legacy relational Java applications onto MongoDB cloud architectures, with GenAI-assisted migration tooling.
Captured October 2026Still open as of Oct 11, 2026 ↗
The role
This role sits within the professional services group, which helps customers with everything from building new solutions to moving older systems to the cloud. The engineer joins a small agile squad working at client sites on Java application migrations, and is expected to propose generative AI approaches alongside existing migration playbooks.
What you would do
- Work with customer project teams to modernize SQL-driven applications and shift them onto MongoDB.
- Apply Java or comparable language skills and relational database knowledge to client engagements.
- Follow and enhance established playbooks for migrations and modern application development.
- Keep pace with emerging technology, especially MongoDB, generative AI tooling, and cloud designs, as work requires.
- Take part in sprint planning, backlog refinement, and retrospectives to improve team practice.
- Share progress, blockers, and proposals clearly with teammates and client stakeholders.
- Help with troubleshooting and performance tuning during projects.
- Learn from senior colleagues while bringing a fresh perspective to team discussions.
What they asked for
- Four to seven years of building software, with solid grounding in Java fundamentals.
- Comfort with SQL-based databases and basic stored routines.
- Hands-on experience diagnosing application issues and tuning performance.
- Some exposure to enterprise frameworks such as Spring Boot or Hibernate.
- Experience delivering in agile teams, with familiarity with continuous integration pipelines and Git.
- Quick at picking up new tools and frameworks, with strong problem-solving and teamwork habits.
- Clear communication with both technical peers and non-technical audiences.
Nice to have
- Exposure to MongoDB or other NoSQL data stores.
- Basic familiarity with generative AI tools and APIs, such as OpenAI GPT models.
- Python for scripting or data processing.
- Grasp of cloud-native concepts like containers, orchestration, or microservices.
- Hands-on work with JPA or Hibernate ORMs.
- Prior experience on AWS, Azure, or GCP.
- Working knowledge of Docker and Kubernetes.
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