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

About BitClass
About
Connect with the team
Similar jobs
Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
ABOUT THIS MANDATE :
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.
We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.
THE OPPORTUNITY AT A GLANCE :
AI-First Engineering Culture :
- Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
Hands-On Engineering Leadership :
- Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
People & Org Builder :
- Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
KEY RESPONSIBILITIES :
1. Hands-On Technical Engagement :
- Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
- 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
- Identify and resolve systemic technical debt and architectural risks across team-owned services
- Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
- Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability
2. AI Adoption, Integration & Transformation (2026 Mandate) :
- Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
- 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
- Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
- Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
3. People Leadership & Team Development :
- Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
- Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
- 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.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
- 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
- Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
- Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
- 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
- Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.
LLM & GenAI Product Features
- Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.
AI-Augmented Observability
- Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.
Team AI Fluency :
- Build mandatory AI literacy across all engineering levels.
- Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.
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)
- AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
- Copilot: Cursor /Hugging Face
- Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
- 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
- CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)
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
- Demonstrated engineering depth and leadership impact may complement institution pedigree
Experience :
- 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
- Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
- Hands-on backend engineering background must be able to read, write, and critique production code
- Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
- Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
- Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
- Demonstrated career stability minimum of 2 years of average tenure per organisation.
The Ideal Engineering Manager in 2026 :
- Leads with context, not control, empowers engineers while maintaining accountability and quality
- Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
- Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
- Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
- Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
- Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
- Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites
WHY THIS ROLE STANDS APART :
AI Transformation at Scale :
- Lead one of the most significant AI adoption programmes in India's digital media sector.
- Our decisions will shape how hundreds of engineers work in 2026 and beyond.
Hands-On & Strategic Balance :
- A rare EM role that actively encourages technical depth.
- Stay close to the code while owning the people agenda - the best of both worlds.
Established Platform, Real Scale :
- 5001,000 engineers, proven product-market fit, and the org maturity to execute.
- This is not a greenfield startup gamble it is a serious company with serious ambition.
Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
- Senior leadership is invested in growing its next generation of technology executives.
Job Title : Python Developer (Crawlers / APIs / Async Programming)
Experience : 3 to 6 Years
Notice Period : Immediate to 15 Days
Job Location : Bangalore
Interview Process : 1 Internal Round + 2 Client Rounds
Mandatory Skill :
Strong Python experience with crawlers, REST APIs, async/multithreading, and PostgreSQL/MySQL in a cloud environment.
Role Overview :
We are looking for a highly skilled Python Developer with strong hands-on experience in building web crawlers, REST APIs, and advanced Python applications. The ideal candidate should be proficient in writing clean, efficient, and scalable code, and comfortable working with asynchronous programming, multithreading, and cloud-native environments.
Key Responsibilities :
- Build and ship new features and fixes in a fast-paced environment.
- Design, develop, test, and deploy scalable Python applications.
- Develop robust web crawlers and RESTful APIs.
- Write clean, secure, and maintainable code following SOLID principles.
- Design and document features, components, and systems.
- Collaborate closely with cross-functional teams.
- Support, monitor, and maintain existing products.
- Continuously learn and improve technical expertise.
Mandatory Skills :
- 3 to 5 years of strong hands-on experience in Python
- Experience in building web crawlers and REST APIs
- Strong knowledge of multithreading and async I/O in Python
- Experience with PostgreSQL or MySQL
- Strong understanding of OOP/Functional Programming and clean coding practices
- Experience with Docker / Containers
- Exposure to Cloud platforms (AWS or GCP)
- Excellent written and verbal communication skills
- High ownership mindset and accountability
Good to Have :
- Experience with Kubernetes, RabbitMQ, Redis
- Contributions to Open Source Projects
- Experience working with AI APIs and tools
What the Interview Will Focus On :
- Problem-solving and coding skills
- Hands-on Python programming
- Low-Level Design
- Database Design concepts
Job Description:
§ Understanding client requirements & functional specifications.
§ Developing and maintaining dynamic websites and web applications.
§ Ensuring fool proof performance of the deliverable.
§ Coordinating with co-developers and other related departments.
§ Sending regular updated about the project status
Desired Candidate Profile:
· Proficient knowledge of a back-end programming language - one or more from Python, JavaScript, NodeJS
· Proficient knowledge of back-end server frameworks - Flask
· Proficient knowledge in handling any from JSON, XML & YAML
· Databases: MongoDB
· Proficient In configuring backend in Nginx Server
· Experience in building the API services from scratch - Project structuring, setting up environment objects, build reusable components, etc,
· IDE: Visual Studio Code, PyCharm Notepad++.
· Should have excellent written & oral communication skills (English)
· Must have the capacity to work independently and also as a part of a team
- Creating technical specifications and test plans.
- Managing defect tracking system and resolving all issues and preparing the update for systems.
- Preparing and maintaining code for various .Net applications.
- Revising, updating, refactoring, and debuging the code.
- Enhancing existing systems by analyzing business objectives, preparing an action.
What you need to have:
- Have experience of working on ASP.NET, VB.NET, C# or MVC.
- Must be good with MS SQL DB queries and optimization techniques.
- Very good in programming logic. Should be well versed with OOPS.
- Knowledge of AngularJS or ReactJS is a plus.
- Familiar with architecture styles/APIs (REST, RPC).
- The ideal candidate should have a good knowledge of working with Telerik Controls.
- Working in any programming language with exposure to Web services /REST API/Third-Party Integration.
- Working exposure to Test, Link, JIRA, GIT, Jenkins, Visual Studio 2015 or later, OOPs concepts, Cloud concepts.
- Good design skills using n-tier architectures (scalability, multithreading, caching, business & data layers) or SOA based application.
- Candidate must know how to work with HTML, XML, JavaScript/Jquery.
- Ability to lead the team and handle pressure and demands.
- Sound knowledge on IT concepts and latest trends.
- Excellent logical and analytical skills.
- Ability to work independently and multi-task in a fast paced environment.
- Strong verbal and written communication and interpersonal skills.
- Highly organized and detail-oriented.
DUKAAN - Create Your Online Store in 30 Seconds
Dukaan is an app that allows offline businesses to sell their products and services online. On our app, the users can make beautiful product catalogues (catalogs) right from a smartphone and share with their customers easily on different social media apps such as Whatsapp Business, Whatsapp, Facebook, Instagram etc. Praised by users all over India, this app has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital.
Dukaan is currently powering over 5M ecommerce stores built by indian small businesses and growing at a crazy rate.
We are looking for a Backend Engineer to join our team who will be part of our new innovations team.
Requirements:
- Strong knowledge of Django, Django Rest Framework and their design principles.
- Strong knowledge of Django ORM, should be able to leverage it to write complex and optimized queries (E.x Q queries, Case, When, Select related, prefetch related, Subqueries, Annotations, Aggregations, Filtering, etc.) .
- Should be able to override DRF serializers, filters and viewsets completely according to needs.
- Should have good experience in Class Based Views to write the backend API’s.
- Sound knowledge of database design patterns and modelling them to Django models.
- Sound knowledge of how to write test cases for the APIs.
- Should be able to write optimized pythonic code adhering to python PEP standards.
- Strong knowledge of python packaging and how to architect a code base that should be easily scalable and not get cluttered.
- Strong knowledge of REST API design patterns.
- Ability to write RAW sql queries and further database level coding will be a plus.
- Good Understanding of python’s asyncio, threading and multiprocessing library, their benefits and limitations along with their appropriate use cases.
- Hands on knowledge of celery and its corresponding message broker such as RabbitMQ, Redis, etc.
- Experience with building a CDC(Change Data Capture) pipeline will be a plus.
- Experience with Apache Kafka, Kafka connect and Debezium will be a plus.
- Experience with open source will be a plus.
- Good knowledge of Algorithms and data structures.
Responsibilities:
- Understand the ins and out of existing codebase and have a good grasp over it.
- Write clean, stable and scalable code.
- Write unit test cases for the APIs.
- Do whitebox and blackbox testing for your own code and as well as others if required.
- Understand and implement fast prototype solutions for the business needs.
Job Description
· Strong Core Java / C++ experience with Strong Handson Coding
· Excellent understanding of Logical ,Object-oriented design patterns, algorithms and data structures.
· Sound knowledge of application access methods including authentication mechanisms, API quota limits, as well as different endpoint REST, Java etc
· Strong exp in databases - not just a SQL Programmer but with knowledge of DB internals
· Sound knowledge of Cloud database available as service is plus (RDS, CloudSQL, Google BigQuery, Snowflake )
· Experience working in any cloud environment and microservices based architecture utilizing GCP, Kubernetes, Docker, CircleCI, Azure or similar technologies
Job Description: (Mandate Skills)
- Exceptional architecture and design skills using Object Oriented Programming concepts and Design patterns
- Strong problem solving and analytical skills
- Hands on Java Engineer, with experience building consumer facing or enterprise applications using Java stack
- Ability to manage small teams (2-4 members) using agile development process
Do You Know? (Skills good to have)
- Exposure to building service oriented distributed systems
- In building systems that process big data in a distributed environment, either in real time streaming or offline
- In messaging systems like Kafka, RabbitMQ, kinesis, etc.
- In real time computation tools like Storm / Spark or Hadoop based tools.
- In Data warehousing technologies like Redshift, BigQuery, etc.
Please find the JD Below:
Job title- ATL/Technical Lead
Experience
- Must have experience
- Extensive product development experience
- 5-10 years experience in back end Java Development
- Possess advanced knowledge of object-oriented design and development (OOA/OOD).
- Team task assignment, mentoring and helping resolve issues
- Self-starter, ability to work with minimal supervision.
- Skilled at working collaboratively in a team-oriented environment.
- Excellent problem-solving skills. Curious and adept at researching project-related issues and challenges.
- Excellent debugging skills
- Good to have
- Experience in SOA and microservice deployment model.
- GWT development experience
- Experience of working in an Agile development model
- Mixed experience in different type of organizations - product start up and large enterprises
Other Skills
- Strong Analytical skills
- Acumen for understanding customer's business goals
- Process oriented- Following current processes and partner in process improvement.
- Data oriented- Using data and knowledge base for solving current problem at hand and creating software knowledge base for future use.
- Ability to juggle multiple development and design tasks simultaneously.
- Strong hands on in Core Java, OOPS, Exception handling, Multi-Threading, Generics and design patterns.
- Proficient in designing and developing web applications using Java/JEE
- Working experience in Spring Boot, Spring Integration and REST Web services
- Exposure to UI technologies/frameworks like JavaScript, React JS , Flux and knowledge of CSS, HTML etc
- Build tools like Maven.
- Should possess good communication skills and a go getter attitude.
- Good in debugging code through eclipse and browsers
- Should be capable to work independently. Desirable
- Experience in any Continuous Integration/Delivery tools like GIT, Docker, Jenkins, Ansible
- Working knowledge of database like Oracle and application server like Tomcat, WebLogic.
- Knowledge of Linux
- Exposure to any test automation technologies such as Selenium, Fitnesse, Mockito, Junit, any other testing frameworks
- Candidate must to have exposure to working in a fast-paced environment using Agile methodologies
- A person with technical thrust who keeps him up to date with latest technology trends, practices, patterns etc. Knowledge of Open Source tools and technologies









