Software Engineer 3
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Website
- Source
- mongodb
- First observed
- 2026-08-11 23:50 UTC
- Last seen
- 2026-08-12 15:51 UTC
- Source claims posted
- 2026-08-03 09:19 UTC
- Consecutive misses
- 0 of 3
What the posting says
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
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#9527 2026-08-11 23:50 UTCPublished
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#24591 2026-08-12 15:51 UTCModified
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source_updated_at
2026-08-11T15:55:02-04:00->2026-08-12T11:27:25-04:00
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