We’re looking for a Software Engineer 3 to join our Marketing Technology Engineering team within Marketing Operations - Technology & Automation. This is a hands-on engineering role for someone who enjoys building reliable, scalable digital platforms and internal systems that improve how teams ship, measure, and optimize web experiences. You’ll work across application development, integrations, experimentation, data-informed decision making, and AI-enabled workflows that help the team move faster and deliver better outcomes.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
What you’ll do- Build and maintain production-quality software that powers martech experiences
- Design and implement backend services, internal tools, automations, and integrations across the martech ecosystem
- Improve system reliability, observability, maintainability, and developer experience across the team’s platforms
- Contribute to experimentation, personalization, and data workflows that support better customer and developer experiences
- Help evaluate and apply AI-enabled capabilities and tools where they can improve engineering velocity, quality, or user experience
- Participate in code reviews, technical design discussions, and team planning
- Take ownership of projects from implementation through rollout, monitoring, and iteration
- 3+ years of professional software engineering experience building and supporting production systems
- Strong coding skills in one or more modern programming languages such as JavaScript or Python
- Experience building web applications, backend services, APIs, data pipelines, or internal platforms
- Solid understanding of software engineering fundamentals including testing, debugging, code quality, and maintainability
- Experience working with cloud services, CI/CD workflows, and modern development practices
- Ability to work across systems and collaborate effectively with cross-functional partners
- Strong written and verbal communication skills
- Experience partnering with marketing, sales, and revenue operations teams to translate business requirements into clear technical specifications
- Curiosity, ownership, and a practical approach to solving ambiguous problems
- Experience working with go-to-market platforms (i.e. Marketo, Salesforce, Segment, Ad Platforms), analytics, or experimentation platforms
- Ability to map lead flows and trace the path a lead takes from website through to opportunity.
- Familiarity with data pipelines, event instrumentation, or web performance optimization
- Experience integrating AI or machine learning powered capabilities into products, workflows, or developer tooling
- Comfort using AI-assisted engineering tools thoughtfully to improve delivery speed and quality
In your first 3 months
- Build an understanding of the team’s systems, priorities, and engineering standards
- Contribute code to active projects and begin taking ownership of scoped work
- Build strong working relationships with teammates and cross-functional partners
In your first 6 months
- Independently deliver meaningful features or improvements across one or more team-owned systems
- Improve at least one area of reliability, automation, documentation, or developer workflow
- Contribute actively to technical design conversations
In your first 12 months
- Be a trusted contributor across the team’s core platforms and workflows
- Own projects end-to-end with strong engineering judgment and cross-functional collaboration
- Help raise the team’s effectiveness through technical improvements, documentation, and peer support
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 2273502126
Skills Required
- 3+ years of professional software engineering experience building and supporting production systems
- Strong coding skills in JavaScript or Python
- Experience building web applications, backend services, APIs, data pipelines, or internal platforms
- Solid understanding of software engineering fundamentals including testing, debugging, code quality, and maintainability
- Experience working with cloud services and CI/CD workflows
- Ability to work across systems and collaborate effectively with cross-functional partners
- Strong written and verbal communication skills
- Experience partnering with marketing, sales, or revenue operations to translate business requirements into technical specifications
- Experience with go-to-market platforms (Marketo, Salesforce, Segment) or experimentation/analytics platforms
- Experience integrating AI or machine learning capabilities or using AI-assisted engineering tools
What the Team is Saying
MongoDB Compensation & Benefits Highlights
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Parental & Family Support — Parental leave is set at 20 weeks paid and gender‑neutral (generally after one year of service), alongside 90% reimbursement for fertility, adoption, or surrogacy costs up to $50,000. Backup child/elder care via Care.com and parenting support (e.g., Cleo) add depth to family coverage.
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Healthcare Strength — Medical, dental, and vision options are broad, with some plans listing $0 employee‑only premiums, HSA contributions, and a free One Medical membership. Mental health resources include Spring Health (with therapy visits), an EAP, and a trained Mental Health First Aid network.
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Equity Value & Accessibility — Total rewards commonly include RSU equity grants and an Employee Stock Purchase Plan, creating meaningful ownership opportunities. Multiple role descriptions and benefits pages emphasize equity as a core component of compensation.
MongoDB Insights
What We Do
The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.
Why Work With Us
We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.
Gallery
MongoDB Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.
