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Job description
- Lead design, development, implementation and maintenance of applications & back-end services demonstrating service-oriented architecture.
- Design, build, test, and maintain scalable APIs, services, and systems within the platform.
- Choose the right Data Structures, tools, and tech stacks and do high-level design with guidance.
- Build, develop, mentor, review code and coach junior team members.
- Extensive programming experience with cross-platform development: Java/SpringBoot, Javascript/Node.js, Express.js or Python
- Extensive knowledge of ElasticSearch, MongoDB or Cassandra, Redis, SQS and data streaming (Spark, Flink, Kafka streams, storm, etc.).
- Well versed in Kafka Understanding cloud native technologies such as Docker and Kubernetes, capable to cover full development lifecycle including CI/CD
- Experience in use of source code management system like GIT, bitbucket and build tools like ant, maven, Gradle or make.
- Take great pride in Code quality and developer productivity.
- Put in Microservcies architecture in place that paves road for scalability, efficiency, observability, and availability.
- Build (and open source) data processing, storage and fetch systems at the petabyte scale with the lowest cost/GB while still responding in milliseconds at the 99th percentile.
- Write algorithms and services to influence personalisation and recommendation from a real-time recommendation engine for both home feed to surface most viral videos + video e-commerce
- Build machine learning pipelines using Kinesis,Spark/Flink/TensorFlow etc
- Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software architecture
- Proven experience in handling large infrastructure and distributed systems Liaison with Product Management, DevOps, QA, Client and other teams Your Experience Across The Years in the Roles You’ve Played
Requirement:
- Have total or more 7 - 9 years of experience with 2-3 years in a startup. Have B.Tech or M.Tech or equivalent academic qualification from premier institute. Experience in Product companies working on Internet-scale applications is preferred
- Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native service and infrastructure services to design solutions.
- Follow Cloud Native Computing Foundation leveraging mature open source projects including understanding of containerisation/Kubernetes.
We Value Engineers Who Are :
- Customer-focused: We believe that doing what’s right for the creator is ultimately what will drive our business forward.
- Obsessed with Quality: Your Production code just works & scales linearly
- Team players. You believe that more can be achieved together. You listen to feedback and also provide supportive feedback to help others grow/improve.
- Pragmatic: We do things quickly to learn what our creators desire. You know when it’s appropriate to take shortcuts that don’t sacrifice quality or maintainability
Chingari Benefits
The glory. Almost too much responsibility.
A fun-life balance
A ticket on our rocket ship to the moon. ��
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Pendo is a leading product experience and software analytics platform that helps companies understand how users interact with their software and improve those experiences. It operates in the product analytics and digital adoption space, enabling organizations to combine analytics, in-app guidance, and user feedback in one unified platform.
Pendo – Key Highlights
- Founded in 2013, headquartered in Raleigh, North Carolina
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- 850+ employees across global offices
- Raised $350M+ total funding from investors like General Atlantic, Tiger Global, and Sapphire Ventures
Chisel was acquired by Pendo in 2026, marking a key milestone in its journey. The acquisition strengthens Pendo’s push into AI-driven product experience, with Chisel’s agentic capabilities becoming a core part of Pendo’s broader platform vision.
Chisel Labs is an AI-powered product management platform built to help product teams move faster and make better decisions. It operates in the product management and AI SaaS space, bringing feedback, roadmapping, and documentation into a unified system of record.
At its core, Chisel functions as an AI PM Agent, automating workflows like PRDs, research, and feedback analysis - allowing teams to focus on strategy, prioritization, and product outcomes.
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