MongoDB
About this role
This is internal systems engineering at MongoDB rather than database work, and the title hides that. The IT SaaS Engineering team builds and governs the Salesforce platform that MongoDB's own sales organisation runs on, and this seat does hands on Salesforce development: Apex, Lightning Web Components, Flows, SOQL and integrations with the rest of the enterprise stack. You own delivery across the whole lifecycle, from design through testing, deployment, documentation and production support, working with globally distributed teams in an agile setup. The posting also explicitly encourages using AI engineering tools including GitHub Copilot, Claude Code, Cursor and Agentforce, while applying judgment about security and privacy. Worth applying only if enterprise platform work appeals; this is not product engineering.
Who this is for
What the posting requires: a bachelor's or master's in computer science, information systems or a related field. 8 or more years in Salesforce development and enterprise application engineering. Strong hands on Apex, Lightning Web Components, JavaScript, Flows, SOQL, APIs and platform customisation. Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns and scalable solution design. Experience with CI/CD, deployment processes, code refactoring and performance optimisation in Salesforce environments. Experience integrating Salesforce with enterprise systems using APIs, ETL tools and automation platforms. Salesforce Platform Developer II certification is strongly preferred, with JavaScript Developer, Advanced Administrator, Application Architect or System Architect certifications a plus. Good understanding of AI powered and agentic development tools such as Cursor, Claude Code and Agentforce.
The day to day: developing, testing, documenting and deploying Salesforce solutions; supporting enhancements, break fix and ongoing maintenance; investigating technical and integration issues with development, operations and business teams; managing multiple priorities; researching new platform capabilities and prototypes; and mentoring junior engineers and administrators.
How they measure you: MongoDB publishes ramp expectations on this posting. At three months you understand its Salesforce ecosystem and current implementations. At six months you have delivered one or more critical initiatives and become a trusted technical contributor.
Location and office reality: MongoDB states it is looking to speak to candidates based in Gurugram for its hybrid working model, so this one is not remote.
Who this is for: a Salesforce engineer, plainly. Strong general backend engineers without Apex and LWC depth will not clear the bar, and equally, this is a good seat if you have that depth and want it valued at a product company rather than at a consultancy.
The day to day: developing, testing, documenting and deploying Salesforce solutions; supporting enhancements, break fix and ongoing maintenance; investigating technical and integration issues with development, operations and business teams; managing multiple priorities; researching new platform capabilities and prototypes; and mentoring junior engineers and administrators.
How they measure you: MongoDB publishes ramp expectations on this posting. At three months you understand its Salesforce ecosystem and current implementations. At six months you have delivered one or more critical initiatives and become a trusted technical contributor.
Location and office reality: MongoDB states it is looking to speak to candidates based in Gurugram for its hybrid working model, so this one is not remote.
Who this is for: a Salesforce engineer, plainly. Strong general backend engineers without Apex and LWC depth will not clear the bar, and equally, this is a good seat if you have that depth and want it valued at a product company rather than at a consultancy.
Apply on company site
Opens www.mongodb.com, the employer's own application page. Applying is always free.