Software Engineer 3
MongoDB is hiring a Software Engineer 3 in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- Level rates this software engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
- Some of the work can be done remotely, according to the posting.
- The posting mentions JavaScript, Python and Marketo among its tools and skills.
- Level classes it as a mid-level role.
- MongoDB has 382 other open roles on Level.
AI in this role
Software engineer to build martech platforms and internal systems, evaluating and applying AI tools to improve velocity.
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
What we’re looking for
- 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
Nice to have
- 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
Success in this role
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
About MongoDB
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
How we rate this
Software Engineer 3 at MongoDB rates 40 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where martech was part of your work. What did you do?
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where api was part of your work. What did you do?
- Walk me through how you've used JavaScript in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Martech, Backend, API, and JavaScript. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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