BriefCase
BriefCase

Technical Lead - Full Stack Job in [24]7.ai

Technical Lead - Full Stack

[24]7.ai 4+ weeks ago
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Job Summary About [24]7 Inc. Data is revolutionizing how we live and work, enabling us to glean insights and apply them across various aspects of our lives. At [24]7, we are leading the charge in applying data and machine learning to enhance customer acquisition and engagement. Our Customer Acquisition Cloud leverages cutting-edge AI and machine learning to target the right audiences, while our Engagement Cloud drives seamless customer interactions to deliver exceptional experiences. We cater to Fortune 100 companies worldwide, handling hundreds of millions of customer interactions each year enabling over 1.5 billion interactions annually. We tackle complex challenges in data processing, machine learning, and AI to develop Smart Agents that revolutionize customer interactions. Key Questions We Address: How do we process millions of events in a data stream to derive meaningful insights? How do we apply scalable machine learning algorithms to learn from vast data sets? How do we make real-time decisions in under 300 milliseconds, at scale, by leveraging learnings from live data streams? We utilize leading open-source technologies such as Akka, Scala, Undertow, Spark, Spark ML, Hadoop, Cassandra, and MongoDB. Real-time capabilities and platform scalability are at the core of our engineering efforts, and we constantly strive to innovate in the customer engagement space. As a Pre-IPO Silicon Valley-based company, we serve a prestigious portfolio of global brands such as Hilton, eBay, Time Warner Cable, Best Buy, Target, American Express, Capital One, and United Airlines. Our technologies reach over 300 million visitors online every month. Our team is dedicated to creating an empowering work environment and offers one of the best work cultures in Bangalore. Position: Full Stack Engineer - Product Engineering Team The Product Engineering team at [24]7 is focused on building next-generation platforms designed to deliver intuitive, seamless experiences for consumers interacting with companies via Web, Mobile, IVR (Interactive Voice Response), or traditional phone systems. Our products process vast volumes of data to predict consumer needs and preferences often before they are expressed. We are responsible for designing and developing innovative product features in areas such as big data, predictive analytics, modeling frameworks, mobile applications, and user interfaces. Our work involves creating high-performance, highly-available, and reliable products deployed in distributed environments to deliver services through a SaaS model. Key Responsibilities: Design and implement new product features from the ground up in areas including big data, predictive analytics, mobile applications, and user interfaces. Build scalable, high-performance, and distributed systems to support mission-critical services. Collaborate with cross-functional teams to deliver solutions that exceed customer expectations. Focus on system reliability, availability, and performance while maintaining best practices across the software development lifecycle. Contribute to the overall architecture and design of cutting-edge solutions. Required Qualifications: Strong fundamentals in Computer Science, including expertise in Data Structures, Algorithms, Operating Systems, and Databases. Proven experience as a Full Stack Engineer, with a deep understanding of object-oriented design principles and experience in object-oriented programming languages (Java, Ruby, Python, Scala, etc.). Expertise in developing web-based user interfaces, including HTML, JavaScript, and CSS. Strong communication skills, with the ability to collaborate and explain complex technical concepts to non-technical stakeholders. Experience in developing high-performance, distributed systems is highly desirable. Solid knowledge in system and database design. Experience across the full software development lifecycle. Familiarity with agile methodologies and experience in working with cloud-enabled services and applications. Preferred Qualifications: Exposure to open-source technologies is a plus. Familiarity with cloud platforms and services (AWS, Azure, GCP) is highly valued. Education: Bachelor's degree in Computer Science, Engineering, or a related field. If you are passionate about working on impactful, large-scale problems with cutting-edge technologies, join us at [24]7 to innovate and contribute to the future of customer engagement.
Qualification :
Bachelor's degree in Computer Science, Engineering, or a related field.
Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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