Lead Software Engineer

About MoEngage

MoEngage is an insights-led customer engagement platform trusted by 1,350+ global consumer brands, including McAfee, Flipkart, Domino’s, Nestle, Deutsche Telekom, and OYO. MoEngage combines data from multiple sources to help brands gain a 360-degree view of their customers.

MoEngage Analytics arms marketers and product owners with insights into customer behavior. Brands can leverage MoEngage Personalize to orchestrate journeys and build 1:1 conversations across the website, mobile, email, social, and messaging channels. MoEngage Inform, the transactional messaging infrastructure, helps unify promotional and transactional communication to a single platform for better insights and lower costs. MoEngage’s AI Suite helps marketers develop winning copies and creatives, optimize campaigns and channels that boost engagement, and help with faster execution.

For over a decade, consumer brands in 60+ countries have been using MoEngage to power digital experiences for over a billion monthly customers. With offices in 15 countries, MoEngage is backed by Goldman Sachs Asset Management, B Capital, Steadview Capital, Multiples Private Equity, Eight Roads, F-Prime Capital, Matrix Partners, Ventureast, and Helion Ventures.

MoEngage was named a Contender in The Forrester Wave™: Real-Time Interaction Management, Q1 2024 report, and Strong Performer in The Forrester Wave™ 2023 report. MoEngage was also featured as a Leader in the IDC MarketScape: Worldwide Omni-Channel Marketing Platforms for B2C Enterprises 2023.

About the Role:

As a Lead Software Engineer, you are a strong systems thinker who can be hands-on with critical designs but primarily multiplies your impact by ensuring abstractions and standards stick across the organization. You will be at the forefront of integrating Generative AI into our core product, leading a micro-team to build scalable, resilient, and highly autonomous agentic workflows that solve real-world problems.

Roles and Responsibilities:

• System Design & Execution: Think big but execute with great focus. Adopt a milestone-based approach over "big bang" releases to ship high-impact features iteratively.
• Design for Scale & AI: Design and code with scale, high availability, and cost-efficiency in mind—carefully balancing traditional cloud compute costs with LLM latency and token economics.
• Agentic Orchestration: Own problem statements from end to end, building abstractions that allow LLM agents to plan, call tools, and complete complex tasks safely in production.
• Leadership & Mentorship: Lead a micro-team, driving the adoption of excellent tech processes, evaluation frameworks, and deployment tools. Mentor fellow colleagues and elevate the team's code quality through rigorous reviews.
• Tech Stack Agility: Remain open and adaptable to working across a polyglot tech stack, bridging the gap between standard backend systems and AI ecosystems.

Requirements:

Core Engineering & Tech Stack:

• 6-8 years of proven experience building scalable distributed systems and RESTful Web Services.
• Languages: Expertise in the Java programming language and frameworks, alongside a strong familiarity with Python and its related frameworks.
• Data & Messaging: Hands-on experience with MongoDB, ElasticSearch, Scylla, Redis, and Kafka.
• Big Data & Analytics: Experience with data processing frameworks and query engines like Apache Spark or AWS Athena.
• Orchestration & Task Frameworks: Familiarity with workflow orchestration and task queue frameworks like Apache Airflow or Celery
• Infrastructure: Familiarity with Linux environments and at least one major cloud computing infrastructure (GCP / Azure / AWS).
• Security: Strong awareness of Secure Development Lifecycle (SDLC) processes and Information Security best practices (including AI-specific security like mitigating prompt injection).
• Ownership: High accountability and a proven track record of taking total ownership of the modules and microservices you build.

Agentic & AI Expertise:

• Agentic Workflows: Proven track record of building and shipping agentic systems that do real work (multi-step planning, dynamic tool calling, autonomous task completion) in production environments.
• Tooling Protocols: Experience designing and managing a "tool-bus" or integrating with protocols like the Model Context Protocol (MCP) to safely and securely expose product skills to an LLM runtime.
• LLMOps & Evaluation: Mastery in setting up evaluation harnesses (golden sets, regressions), tracing tool failures, and strictly tracking LLM cost/latency under real-world traffic constraints.
• Model Tuning & Safety: Hands-on experience deciding when to fine-tune vs. prompt engineer, safely building domain training data, and monitoring tuned models in production for quality and safety regressions.

At MoEngage, we respect and value differences. We believe that when people from diverse backgrounds and perspectives collaborate, we create the most value – for our clients, our employees, and society. We embrace diversity and uphold a strong set of values. We are committed to inclusivity and take pride in providing equal opportunities for success and growth.

Employment at MoEngage is based solely on professional competence, skills, and experience. We stand firmly against all forms of discrimination and support equal rights and opportunities regardless of gender, ethnicity, abilities, age, identity, orientation or expression, marital status (including pregnancy), religion and beliefs, or any other status protected by law.

It is our policy to comply with all applicable national, state, and local laws related to non-discrimination and equal opportunity. MoEngage is truly a place where everyone can bring their passions, authentic selves, and talents to work, collaborating to drive progress and solve meaningful challenges.

Why Join Us!

At MoEngage, we are passionate about our team and technology - see below to know more about us.

Life@MoEngage

Tech@MoEngage

Scale @MoEngage

We handle more than a billion messages every day. Rest assured, you will be surrounded by really smart and passionate people as we scale much more to build a world-class technology team.