
Overview
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.
- 9 - 12 years of Experience on the AWS/Azure platform.
- Deep understanding of container orchestration technologies - Kubernetes
- Expertise in any CI/CD tools build, artifact, packaging, and service discovery management tools.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc.) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc.)
- Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana
- Proven experience in handling large infrastructure and distributed systems like Yarn, Kubernetes, Elasticsearch, Kafka etc.
- Great communication, interpersonal, teamwork and mentorship skills.
- Experience with AWS/Azure cost explorer, billing analysis, and various cost optimisation techniques.
- Awareness of Cloud Security concepts
- Good understanding & implementation experience using 12-factor App principles.
- AWS/Azure cloud certification preferred
- Certification in Kubernetes Administrator (CKA).
- Certification in Kubernetes Application Developer (CKAD)
- Experience with configuration management tools and strong code analysis skills in Python
- Experience in working with APM-based tools like New Relic