Software Engineer 3
MongoDB · Not provided by source
MeritLog read this listing from MongoDB's Greenhouse job board and last checked it on September 9, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Gurugram
Hiring context
How this role compares at MongoDB
MongoDB has 408 live roles in MeritLog’s catalog across 12 job families, and 130 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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What the role asks for
What you'd 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
What they're asking for
- Experience working with go-to-market platforms (i.e. Marketo, Salesforce, Segment, Ad Platforms), analytics, or experimentation platformsSkillPreferred
- Ability to map lead flows and trace the path a lead takes from website through to opportunity.SkillPreferred
- Familiarity with data pipelines, event instrumentation, or web performance optimizationSkillPreferred
- Experience integrating AI or machine learning powered capabilities into products, workflows, or developer toolingSkillPreferred
- Comfort using AI-assisted engineering tools thoughtfully to improve delivery speed and qualitySkillPreferred
- Build an understanding of the team’s systems, priorities, and engineering standardsSkillPreferred
- Contribute code to active projects and begin taking ownership of scoped workSkillPreferred
- Build strong working relationships with teammates and cross-functional partnersSkillPreferred
- Independently deliver meaningful features or improvements across one or more team-owned systemsSkillPreferred
- Improve at least one area of reliability, automation, documentation, or developer workflowSkillPreferred
- Contribute actively to technical design conversationsSkillPreferred
- Be a trusted contributor across the team’s core platforms and workflowsSkillPreferred
- Own projects end-to-end with strong engineering judgment and cross-functional collaborationSkillPreferred
- Help raise the team’s effectiveness through technical improvements, documentation, and peer supportSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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