Senior Software Engineer - Personalisation

Hotstar is hiring Senior Software Engineer - Personalisation job in Bengaluru (Bangalore) | Cutshort

Senior Software Engineer - Personalisation
Senior Software Engineer - Personalisation

at Hotstar

Posted by
Deepayan Mallick
3
\- 7 yrs
₹25L - ₹40L / yr
Bengaluru (Bangalore)
Skills
Data Structures
Algorithms
Java
Distributed Systems
Python
Elastic Search
At Hotstar, we have over 100 million users on Play Store & capture close to a billion clickstream messages daily. The engineering team at Hotstar is at the centre of the action and is responsible for creating the unmatchable user experience. Our engineers solve real-life complex problems and create compelling experiences for our customers. As an engineer in the Personalisation team, you will build platforms and tools that deliver personalised recommendations to 150+ million users. You will work on building storage solutions and microservices that serve recommendations at a rate of few 100K requests per second. You will build tools that serve recommendations to our users in real-time. The pace of our growth is incredible. If you enjoy working on problems at scale and if you want to build our platform for the next 100 million, join us! Your key responsibilities • You will build robust, secure and scalable microservices to power the Personalisation engine at Hotstar • You will design and implement low latency caching and storage solutions • You will build stream processing pipelines to compute personalised recommendations for our users in real-time • You will continuously evaluate relevant technologies, influence and drive architecture and design discussions What to bring • BE/B.Tech/M.Tech/PhD in Computer Science or a related field. • Strong coding skills (Python or Java or Golang) • Experience building distributed domain-driven microservices • Strong understanding of database and storage fundamentals • Experience with AWS stack
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Companies hiring on Cutshort

Founded
:
2015
Type
:
Product
Size
:
1000-1000
Stage
:
Profitable
About
Disney+ Hotstar is an online video streaming platform owned by Novi Digital Entertainment Private Limited, a wholly owned subsidiary of Star India Private Limited. Disney+ Hotstar currently offers over 100,000 hours of TV content and movies across 9 languages, and every major sport covered live. Highly evolved video streaming technology and a high attention to quality of experience across devices and platforms, make Disney+ Hotstar the most complete video destination for Over The Top (OTT) video consumers.
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Posted by
Madhavan I
Coimbatore
10
\- 15 yrs
₹20L - ₹38L / yr
Python
Artificial Intelligence (AI)
Machine Learning (ML)
Large Language Models (LLM) tuning
Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2\. Key Responsibilities
A. Solution Architecture & Strategy
– Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
– Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
– Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
– Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
– Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
– Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
– Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
– Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
– Architect and build complex AI systems involving:
– Large Language Models (LLMs) & GenAI apps
– Agentic workflows and autonomous task orchestration
– Predictive modeling, forecasting, optimization, and statistical modeling
– Knowledge graphs, vector databases, embeddings
– Data engineering pipelines (ETL/ELT) and cloud-native architectures
– Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
– Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
– Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
– Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
– Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
– Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
– Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
– Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
– Hands-on experience building applications using:
– LLMs, RAG, fine‑tuning, prompt engineering
– Autonomous AI agents & multi-agent systems
– Predictive ML models (Regression, Classification, Clustering, NLP, CV)
– Expertise in microservices architecture, API design, scalable deployments.
– Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
– Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
– Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
– Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
– Strong team leadership and mentoring experience.
– Excellent communication, client-facing abilities, and stakeholder management skills.
– Strong decision-making, problem-solving, and delivery ownership.
4\. Qualifications
– Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
– 10–15 years total experience with at least 5+ years leading AI/ML projects.
– Demonstrated success delivering large-scale AI programs in enterprise environments.
– Certifications in AI/ML, cloud, or architecture (preferred).
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Agency job
Bengaluru (Bangalore)
2.5
\- 5 yrs
₹10L - ₹30L / yr
Java
Microsoft SharePoint
Apache Kafka
Elastic Search
Role Overview
We are seeking a motivated and technically versatile CMS Engineer (IC2) to support our transition from SharePoint to Contentful, while also contributing to the broader CMS ecosystem. This is an excellent opportunity for an early-career engineer to work on enterprise-grade platforms and microservice-based architectures.
Key Responsibilities
·         3-5 years of experience with SharePoint Online and/or enterprise CMS platforms.
·         Familiarity with Contentful or other headless CMS solutions is a strong plus.
·         Hands-on experience with Java, Spring Boot, and relational databases (e.g., PostgreSQL).
·         Exposure to Kafka, Elasticsearch, or similar distributed technologies is desirable.
·         Solid problem-solving and communication skills with an eagerness to learn.
What would you do here
SharePoint to Contentful Migration | Backend + CMS Integration
·         Assist in maintaining and enhancing SharePoint Online content and features during the transition period.
·         Support the migration of pages, documents, and metadata from SharePoint to Contentful.
·         Contribute to the design and development of backend services that integrate with Contentful using Java, Spring Boot, and REST APIs.
·         Write reusable services for content delivery, search indexing (via Elasticsearch), and event processing (via Kafka).
·         Help develop APIs for CMS-based applications that interact with PostgreSQL databases.
·         Troubleshoot CMS-related issues and support testing e