Application Security

About MoEngage:

MoEngage is an Agentic customer engagement platform trusted by 1,350+ global brands, including Coca-Cola, Flipkart, Starbucks, Citibank, Domino’s, T-Mobile, and OYO. We power personalized experiences for 2+ billion users monthly across 60+ countries, tracking over 1 trillion data points and delivering 100B+ messages per month. Founded in 2014 to solve repetitive customer engagement challenges, we've evolved into a full-stack solution that unifies data, AI, and engagement across 16+ channels.

At the core of our platform is Merlin AI - our purpose-built Agentic AI for marketing teams. Merlin enables marketers with a suite of specialized native and custom agents to build segments, campaigns, discover insights and automate marketing workflows. With our recent acquisition of Aampe, brands can now create a decisioning agent per user to bring true 1:1 personalization at scale for over 1B+ monthly active users.

For over a decade, MoEngage has helped brands in 60+ countries create standout digital experiences for more than a billion customers every month. Backed by leading investors including Goldman Sachs Asset Management, B Capital, Steadview Capital, ChrysCapital, Multiples, Eight Roads, F-Prime, and Matrix Partners, we’ve grown to 800+ employees across 15 global offices, recently closing a $280M Series F round.

We’re also proud to be recognized as a 2026 Gartner® Magic Quadrant™ Visionary for Personalization Engines, a Strong Performer in The Forrester Wave™ for Cross-Channel Marketing Hubs, and the only vendor named a Customers’ Choice in the 2026 Gartner® Peer Insights™ Voice of the Customer for Email Marketing.

Equal Employment Opportunity:

At MoEngage, we respect and value differences. We believe that when people from diverse backgrounds and perspectives collaborate, we create the most value. Employment is based solely on professional competence, and we stand firmly against all forms of discrimination.

Ready to scale? Let’s build the future of engagement together.

• Life@MoEngage

• Tech@MoEngage (Blogs)

• Leading Mind - Podcast

About the Team:

Department: Engineering

POD: Campaigns

Who will you report to:

• The campaigns team is the engine behind ~4 billion daily notifications - spanning Push, SMS, WhatsApp, Email, InApps, and beyond - and we build every piece of it in-house.

• You'll own end-to-end feature development, architecting high-performance, resilient infrastructure that powers personalized, context-aware engagement at a scale most engineers never get close to.

• Our Stats and Automation platforms process billions of real-time campaign events, driving intelligent targeting and workflow automation that directly impacts client retention and lifetime value - today, not someday.

• If building dependable, large-scale systems that millions of users experience in real-time sounds like your kind of challenge, this is where you belong.

Roles & Responsibilities:

• Build impactful, scalable product experiences that power real customer value, while helping shape the next generation of our services and platform.

• Partner closely with Product, Design, QA, and Engineering to turn ideas into elegant, customer-focused solutions.

• Write clean, maintainable code, contribute through thoughtful code reviews, and play an active role in supporting production excellence.

• Drive reliability, performance, and continuous improvement in a fast-moving agile environment with strong opportunities to make visible impact.

Skills & Requirements:

Must have Skills:

• Battle-tested experience in building scalable web services and robust REST APIs.

• Technical Mastery: Expert-level mastery of Java or Python (and a love for the frameworks that make them shine).

• Cloud Proficiency: Hands-on experience navigating AWS, GCP, or Azure.

• Our Tech Stack: Familiarity with (or a strong desire to master) Python, Falcon, Go, MongoDB, Kafka, and Scylla.

Preferred Skills:

• Partner with product, business, and engineering teams to solve ambiguous problems and drive business impact.

• Familiarity with Data processing technologies like Kafka, Spark/Storm/Samza is a plus.

• Awareness of Secure Development process and practices.

• Experience with AI projects is highly appreciated.

Qualifications:

• 2-4 years of hands-on software development experience.

• Bachelor's or Master's degree in Computer Science, Information Science or related field.