
Elasticsearch Careers in bengaluru ∙ Page 1
48 Remote & work from home jobs online





Homeoffice Platform - Software Engineer II (Billing & Metering Team)
Elastic · Bengaluru, India · Remote










Hybrid Bigdata AWS - Software Engineer - BF - 24252 - 25108 - JR162662
Carelon Global Solutions (Carelon) · Bengaluru, India · Hybrid





Hybrid Data Engineer - Software Engineer - BF - 27242-27342 - JR161344
Elevance Health · Bengaluru, India · Hybrid
Technical Lead - Data
MoEngage Inc · Bengaluru, India · Onsite
- Senior
- Office in Bengaluru
Location: Bengaluru,Karnataka,India
About MoEngage
MoEngage is an insights-led Customer Data and 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.
- Take ownership and be responsible for what you build - no micromanagement
- Work with A players (some of the best talents in the country), and expedite your learning curve and career growth
- Make in India and build for the world at the scale of 1.2 billion active users, which no other internet company in the country has seen
- Learn together from different teams on how they scale to millions of users and billions of messages.
- Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team and more importantly, have fun while you work on scaling MoEngage.
About the Data Team:
The Data Team at MoEngage builds and operates high-availability, mission-critical systems that ingest millions of events per minute, scaling up to billions of events daily. We design and maintain highly scalable, fault-tolerant, and reliable data pipelines that process complex event streams and user attributes generated by millions of customers worldwide.Our infrastructure processes ~2 billion MongoDB interactions per day, with peak loads of 5 million interactions per minute. As part of the Data Team, you will tackle cutting-edge distributed systems and large-scale data engineering challenges—optimizing throughput, minimizing latency, ensuring five-nines uptime, and processing terabytes of data across multi-region, distributed environments.Current Technical Challenges We're Solving:
- Achieving 99.99 percentile SLA for ingestion pipeline latency.
- Enhancing System Reliability by improving Data accuracy and preventing Data loss.
- Scaling pipelines to 5X current capacity while maintaining infrastructure cost efficiency.
- Improving the overall System performance and Observability.
Roles & Responsibilities:
- Lead technical initiatives: Own the architecture and delivery of complex, high-scale distributed ingestion and processing systems.
- Design & develop: Build scalable, reliable, and cost-efficient REST/gRPC services and streaming pipelines.
- Optimize performance: Improve data processing throughput, latency, and system resilience.
- Mentor & review: Guide engineers, conduct code reviews, and instill best practices in design and development.
- Innovate at scale: Select and implement the right tools, frameworks, and architectural patterns to meet extreme data and concurrency demands.
- Collaborate cross-functionally: Work with product managers, SREs, and other engineering teams to deliver robust data solutions.
- Champion quality: Advocate for test-driven development, operational excellence, and monitoring-first architectures.
Requirements:
- 8–12 years of experience designing and building high-scale, data-intensive applications.
- Deep expertise in Java (and relevant frameworks) for backend and data engineering.
- Proven experience with distributed data processing systems and ingestion pipelines at scale (mandatory).
- Strong understanding of data modeling, database design, and performance tuning (SQL & NoSQL) (mandatory).
- Hands-on with real-time data processing technologies: Apache Kafka, Flink or Spark (mandatory).
- Solid experience with AWS cloud services, containerization, and orchestration (Docker, Kubernetes).
- Strong engineering fundamentals — algorithms, data structures, concurrency, and distributed systems.