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Senior Software Engineer
Senior Software Engineer
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Senior Software Engineer

Utsav Tiwary's profile picture
Posted by Utsav Tiwary
3 - 5 yrs
₹8L - ₹15L / yr
Bengaluru (Bangalore)
Skills
skill iconElastic Search
elasticsearch
Object Oriented Programming (OOPs)
skill iconXML
Database Design

About the job

We, at BitClass, are looking to hire a Senior Software Engineer to join the Personalization, Recommendation and Search team. As a core member fo the team, you will design, build and own complex systems that will provide a personalised and unique experience to the entire audience of BitClass. The role involves engineering and building interest cloud of users and serving them meaningful content based on a highly-tuned and robust recommendation engine.

 

Responsibilities and requirements

  • Writing clean, high-quality, high-performance, maintainable code
  • Hands-on with Elasticsearch and its capabilities to build indices and serve recommendations
  • Familiarity with building async pipeline to keep indexing data into Elasticsearch
  • Develop and support software including applications, database integration, interfaces, and new functionality enhancements
  • Support test and deployment of new products and features
  • Participate in code reviews

 

Qualifications

  • Bachelor's degree in Computer Science (or related field)
  • 3+ years of relevant work experience
  • Expertise in Object Oriented Design, Database Design, and XML Schema
  • Experience with Agile or Scrum software development methodologies
  • Ability to multi-task, organize, and prioritize work
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About BitClass

Founded :
2020
Type :
Products & Services
Size :
20-100
Stage :
Raised funding

About

Establish your own teaching brand with BitClass. Create a webpage, host live courses, collect registrations & payments, teach live in our 2-way virtual classroom, acquire learners with free marketing help from experts
Read more

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Utsav Tiwary

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Sector: Technology, Information & Media

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Experience: 10 - 14 Years (Engineering Leadership)

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Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.


This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.


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AI-First Engineering Culture :

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Hands-On Engineering Leadership :

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People & Org Builder :

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1. Hands-On Technical Engagement :

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  • Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
  • Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
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2. AI Adoption, Integration & Transformation (2026 Mandate) :

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  • Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
  • Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
  • Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
  • Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
  • Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
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  • Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications


3. People Leadership & Team Development :

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  • Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
  • Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering


4. Engineering Delivery & Execution Excellence :

  • Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
  • Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
  • Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
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  • Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership


5. Strategic Leadership & Cross-Functional Influence :

  • Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
  • Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
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  • Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
  • Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use


AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :


In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :


AI Developer Productivity

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LLM & GenAI Product Features

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AI-Augmented Observability

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Responsible AI Governance :

  • Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.


TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :


  • Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
  • Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
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  • Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
  • Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
  • MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
  • Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
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QUALIFICATIONS & CANDIDATE PROFILE :

Education :

  • B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
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Clear Leadership Growth Path :

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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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