
Job Title Big Data Developer
Job Description
Bachelor's degree in Engineering or Computer Science or equivalent OR Master's in Computer Applications or equivalent.
Solid Experience of software development experience and leading teams of engineers and scrum teams.
4+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark).
Solid Datawarehousing concepts.
Knowledge of Financial reporting ecosystem will be a plus.
4+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an addon.
Expert on Distributed ecosystem.
Hands-on experience with programming using Core Java or Python/Scala
Expert on Hadoop and Spark Architecture and its working principle
Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data.
Experience in UNIX shell scripting.
Roles & Responsibilities
Ability to design and develop optimized Data pipelines for batch and real time data processing
Should have experience in analysis, design, development, testing, and implementation of system applications
Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.
Excellent technical and analytical aptitude
Good communication skills.
Excellent Project management skills.
Results driven Approach.
Mandatory SkillsBig Data, PySpark, Hive

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Job Summary
We are seeking an experienced Java Drools Developer to design, develop, and maintain rule-based applications using Drools. The ideal candidate will have strong backend development skills and hands-on experience with business rule management systems in enterprise environments.
Key Responsibilities
- Design, develop, and maintain business rules using Drools (BRMS)
- Create and manage Drools Rule Files (DRL), decision tables, and rule flows
- Integrate Drools with Java / Spring Boot applications
- Optimize rule execution, performance, and scalability
- Develop and consume RESTful APIs
- Collaborate with business analysts to translate requirements into rules
- Participate in code reviews and ensure best practices
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Required Skills
- Strong hands-on experience in Java
- Solid experience with Drools Rule Engine / BRMS
- Experience with Spring / Spring Boot and microservices architecture
- Knowledge of REST APIs and backend integrations
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- Good problem-solving and analytical skills
Job Description: Telecaller / Pre-Sales Executive
Role: Telecaller / Pre-Sales Executive
Experience: 0–3 years
Location: Bangalore
Industry: IT Services / Digital / B2B
Role Objective
To generate, qualify, and nurture leads through outbound and inbound calling, supporting the
sales and business development team.
Key Responsibilities
● Make outbound calls to prospective clients using provided databases
● Handle inbound inquiries and explain company services clearly
● Qualify leads based on defined criteria (requirement, budget, timeline)
● Schedule meetings/demos for the Business Development team
● Follow up with leads via calls, WhatsApp, and email
● Maintain accurate lead data and call logs in CRM or tracking sheets
● Meet daily/weekly calling and lead qualification targets
● Handle basic objections and provide standard information
● Coordinate with sales and marketing teams for smooth lead handover
● Share feedback and market insights gathered from calls
Required Skills & Qualifications
● Excellent verbal communication skills
● Basic understanding of sales and customer handling
● Ability to handle rejection and pressure
● Familiarity with CRM tools and MS Excel
● Target-driven and disciplined approach
KPIs
● Number of calls per day
● Qualified leads generated
● Meetings/demos scheduled
● Lead conversion ratio (to BD team)
Read more about us here - https://www.notion.so/bitespeed/Enterprise-Customer-Success-Manager-0233155a53ee4cc3a10feff055b0b8eb
About the role
We want to keep our customers for life. To do that, customer success is probably going to be our most important function and we want to treat it like that. So far our customer success function has been founder-led, we have a track record of 200+ 5-star reviews (which we openly brag about (https://apps.shopify.com/bitespeed-fb-messenger-chatbot) and the envious net negative churn (to the extent where some of our customers pay 5-10X of what they started with).
We're now at a point where we’ve scaled 10X in the past year and to do that again next year we want to double down on our existing customers. This role involves owning customer retention and making them true fans of BiteSpeed while also listening to customer feedback to form a pipe of customer insights for our product team.
What you’ll do
- Your core job is to own our customer relationships, make them successful and fans of BiteSpeed.
- Tracking product adoption for our enterprise customers, ensuring they are getting maximum value leading to upsells and expansion revenue.
- Becoming a trusted product advisor for our customers, helping them with all the tricks of the trade to get maximum value from BiteSpeed.
- Managing cross-sells for new products and renewals, owning expansion revenue at an account level.
- Building the playbook for our customer success function to scale for the next stage of growth.
What makes you a good fit
- You care about delivering a service experience that parallels a Michelin star Italian restaurant.
- You genuinely like helping people and making them successful
- You have 2+ years of experience managing enterprise accounts & at a SaaS startup.
- You have a genuine interest in conversations with people from different backgrounds to learn about their lives
Key Responsibilities
- Design and implement scalable, maintainable, and efficient Python applications
- Lead technical projects from conception to deployment
- Collaborate with cross-functional teams to define and implement new features
- Write clean, testable code with appropriate documentation
- Conduct code reviews and provide constructive feedback to team members
- Mentor junior developers and contribute to their professional growth
- Participate in technical architecture discussions and decision-making
- Troubleshoot and debug complex software issues
- Contribute to continuous improvement of development practices and processes
- Design and implement AI/ML solutions using LLMs and related technologies
- Optimize and maintain AI model deployment pipelines
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 5+ years of professional software development experience
- Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
- Experience with SQL and NoSQL databases
- Solid understanding of software design patterns and principles
- Experience with version control systems (Git)
- Strong knowledge of RESTful APIs and microservices architecture
- Proficiency in writing unit tests and understanding of TDD practices
- Experience with CI/CD pipelines and deployment automation
- Strong problem-solving and analytical skills
AI/ML Technical Skills
- Experience with LLM frameworks (LangChain, LlamaIndex)
- Knowledge of working with large language models (GPT, Claude, etc.)
- Understanding of prompt engineering and LLM fine-tuning concepts
- Experience with vector databases (Pinecone, Weaviate, or similar)
- Familiarity with AI model deployment and serving (BentoML, Ray Serve)
- Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
- Knowledge of AI/ML observability and monitoring tools
- Understanding of AI safety practices and responsible AI development
- Experience with embedding models and semantic search implementations
- Familiarity with AI application development patterns and best practices
LogiNext is looking for a dynamic and competent Enterprise Business Development Manager to work directly with the leadership team at LogiNext and at some of the largest global organizations to help them understand LogiNext technology and sign them up under commercial contracts. You will be a key face to represent LogiNext and build strong and long lasting relationships from the scratch. LogiNext has a stellar line up of large enterprises and you will be expected to contribute for upselling and cross-selling to the existing clients as well. Proven track record of consultative enterprise sales, continuous relationship building with C-level executives, exposure to large scale cloud/SaaS based software deployments and ability to work in agile/multi-tasking work environments will lead you to remarkable growth and leadership opportunities at LogiNext.
Responsibilities:
- Drive end to end sales cycles including lead generation, lead qualification, sales presentations, technology demonstrations, account based marketing, running simulations and evaluations on client site, commercial proposal submissions, contract negotiations, revenue generation and account receivables
- Develop a trusted advisory relationship with client stakeholders, executive sponsors and
- Proactively assess, clarify, and validate client needs on an ongoing basis and convert client needs into enterprise contracts to meet sales quota/target
- Work cross-functionally with business development, marketing, technology and finance team to ensure the timely and successful delivery of the solutions according to client needs and objectives
- Analyze latest marketing trends using CRM and analytics tools and tracking competitors activities and providing valuable inputs for fine-tuning marketing strategies
- Go extra mile to make it a great experience for the client and build a great organization at LogiNext with a “get-things-done” attitude
Requirements:
- Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school
- 4 - 7 years of experience in enterprise or business development in a technology company
- Flexibility and willingness to travel 80% of the times to provide client service to a large number of client accounts across multiple geographies with passion, strong initiatives and positive attitude
- Advanced skill-set for driving system integrations, gathering requirements, writing SOWs, documenting RFI/RFPs, submitting commercial proposals and cross-functional project management
- Expertise to work on executive presentations, advanced CRM and other sales & marketing-focused automation tools is a plus
- Excellent written and verbal communication skills and ability to persuade, influence, negotiate and make formal presentations in meetings and training environments
- A confident and dynamic working persona, which can bring fun to the team, and sense of humour, is a plus
- Strong organizational skills, judgment and decision-making skills, and ability to work with quota/target-based sales
Responsibilities:
Develop and maintain high-quality, scalable, and efficient Java codebase for our ad-serving platform.
Collaborate with cross-functional teams including product managers, designers, and other developers to
understand requirements and translate them into technical solutions.
Design and implement new features and functionalities in the ad-serving system, focusing on performance
optimization and reliability.
Troubleshoot and debug complex issues in the ad server environment, providing timely resolutions to ensure
uninterrupted service.
Conduct code reviews, provide constructive feedback, and enforce coding best practices to maintain code quality
and consistency across the platform.
Stay updated with emerging technologies and industry trends in ad serving and digital advertising, and integrate
relevant innovations into our platform.
Work closely with DevOps and infrastructure teams to deploy and maintain the ad-serving platform in a cloud- based environment.
Collaborate with stakeholders to gather requirements, define technical specifications, and estimate development
efforts for new projects and features.
Mentor junior developers, sharing knowledge and best practices to foster a culture of continuous learning and
improvement within the development team.
Participate in on-call rotations and provide support for production issues as needed, ensuring maximum uptime
and reliability of the ad-serving platform.
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