Product designer, Top b2c product company and top design institute onl

Job Title: Sales Team Leader – Automotive

Location- Noida / Ghaziabaad

Job type: Full time, On site

Role Overview

We are seeking a high-performing, data-driven, and people-oriented Sales Team Leader with a solid foundation in the automotive sector. In this role, you will be responsible for leading, mentoring, and driving a team of Car Sales Consultants to achieve and exceed showroom sales targets. You will serve as a strategic bridge between senior management and the floor, optimization sales pipelines, ensuring premium customer experiences, and building a high-conversion sales culture.

Key Responsibilities

Team Leadership & Performance Management

·      Lead, motivate, and manage a team of frontline sales consultants to achieve monthly, quarterly, and annual vehicle sales targets.

·      Conduct daily morning huddles to assign targets, review pipeline status, and keep energy levels high.

·      Monitor individual consultant performance, identify skill gaps, and provide hands-on coaching on closing deals and handling customer objections.

Sales Operations & Deal Closing

·      Step in to assist consultants in closing high-value, corporate, or complex customer deals on the showroom floor.

·      Monitor showroom walk-ins, digital lead allocations, and test-drive utilization to ensure optimum resource management.

·      Oversee finance, insurance, exchange/trade-in, and accessory sales penetrations to maximize overall profitability per vehicle.

CRM & Pipeline Governance

·      Ensure absolute compliance with CRM tools—tracking team data regarding inquiries, test drives, bookings, and final deliveries.

·      Analyze conversion ratios (Inquiry to Test Drive, Booking to Retail) and implement strategies to reduce lead leakage.

Customer Experience & Delivery

·      Uphold the highest standards of customer satisfaction (CSI/SSI) across your team's lifecycle.

·      Oversee the Pre-Delivery Inspection (PDI) coordination and final delivery processes to guarantee a flawless car delivery experience for customers.

Requirements & Qualifications

·      Experience: Minimum 2+ years of solid experience in the automotive retail sales sector (Dealership or OEM environment), with proven experience handling team targets or acting in a senior/mentorship capacity.

·      Industry Knowledge: Deep understanding of dealership operations, vehicle finance/insurance structures, exchange processes, and local automotive market trends.

·      Skills: Exceptional negotiation, conflict resolution, and numbers-driven tracking skills. Ability to read data and translate it into sales actions.

·      License: Must possess a valid four-wheeler driver's license with a clean driving record.

·      Flexibility: Willingness to work weekends and holidays, which represent peak hours for retail automotive traffic.

What We Offer

·      Competitive fixed salary alongside highly rewarding team-performance incentives.

·      Fast-tracked growth paths into Assistant Showroom Manager or Branch Manager roles.

·      Advanced leadership training modules and direct interaction with corporate strategic teams.

Role Overview

We are seeking an experienced Python Backend Developer with strong expertise in SDK development, API design, and application security. The ideal candidate will build robust backend systems, integrate third-party services, and ensure secure, scalable backend operations.

Key Responsibilities

• Design, develop, and maintain backend services using Python and modern frameworks (e.g., FastAPI, Django, Flask).
• Build and maintain SDKs to support internal and external integrations.
• Develop clean, scalable, and reusable RESTful and/or GraphQL APIs.
• Implement and enforce security best practices, including authentication, authorization, encryption, secrets management, and OWASP guidelines.
• Collaborate with frontend, DevOps, and product teams to deliver end-to-end features.
• Integrate external APIs and third-party services efficiently and securely.
• Optimize backend performance, scalability, logging, and monitoring.
• Write automated tests and maintain high code quality through CI/CD pipelines.
• Work with client SMEs to understand existing workflows, formulas, rules, and translate them into maintainable backend services

·       Consume and work with existing data models and database schemas (SQL/NoSQL) to support analytical workflows, operational planning applications, and integration of machine learning outputs into backend services.

·       Leverage Redis (or similar in-memory stores) for caching and performance optimization, ensuring fast response times for data-driven APIs and applications.

·       Utilize middleware, message queues, and streaming technologies (e.g., Kafka, Event Hubs, RabbitMQ) to build reliable, scalable data flows and event-driven backend services.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field
• Proven experience of 5+ years as a Python Developer specializing in backend systems.
• Hands-on experience with SDK design, development, and documentation.
• Strong knowledge of API development (REST, GraphQL), API versioning, and standards.
• Strong understanding of data modeling, multi-source data integration (SQL/NoSQL/warehouse), and analytical data flows.
• Solid understanding of application security, including:
• OAuth2, JWT, API keys
• Secure coding practices
• Data privacy & encryption
• Security testing & vulnerability mitigation
• Experience with Python frameworks such as FastAPI, Django, Flask.
• Knowledge of databases (PostgreSQL, MySQL, MongoDB, Redis).
• Familiarity with CI/CD, Git, Docker, Kubernetes and cloud platforms (AWS, GCP, Azure).
• Experience with caching (Redis), asynchronous processing, and performance tuning for low-latency user interactions.
• Knowledge of message brokers (Kafka, Event Hubs, RabbitMQ) and event-driven architecture for workflow orchestration.
• Strong analytical skills with complex Excel models, including familiarity with advanced formulas, pivot tables, and user-defined Excel functions

Preferred Qualifications

• Experience building public or enterprise-level SDKs.
• Hands-on experience with event-driven architectures, message queues, or streaming technologies
• Familiarity with workflow orchestration tools (e.g., Airflow, Prefect, Dagster, Azure Data Factory)
• Familiarity with data warehousing or analytical query optimization (Snowflake, BigQuery, Synapse, Redshift).
• Exposure to MLOps tools like MLflow, BentoML, Seldon, SageMaker, Vertex AI, or Databricks ML.

Competencies:

·       Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·       Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·       Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·       Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·       Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

Software Engineer, Low-Latency Systems

• Employment Type: Full-time
• Experience Level: senior-level (7–10 years)

About the Role

We are hiring a Software Engineer, Low-Latency Systems to design and optimize the core infrastructure powering our algorithmic trading systems. In this role, you will work on latency-critical execution paths where nanoseconds, cache lines, memory layout, and network behavior matter.

This is a hands-on engineering position for someone who enjoys building high-performance systems and reasoning deeply about correctness, throughput, and tail latency. Prior trading domain experience is helpful but not required—we value engineering depth and systems thinking above all else.

What You’ll Do (Responsibilities)

• Build Core Infrastructure: Design, develop, and maintain low-latency components including order routing, market data handling, and execution pipelines.
• Optimize Performance: Profile and optimize critical code paths to minimize throughput and tail latency.
• Collaborate Across Teams: Work closely with quant and trading teams to translate complex strategy requirements into highly efficient infrastructure primitives.
• Drive System Design: Contribute to architectural decisions around threading models, memory layout, and network stack configurations.
• Ensure Reliability: Improve observability and operational performance across trading infrastructure. Participate in on-call rotations, incident response, and post-mortems to keep systems running smoothly.

What We’re Looking For (Requirements)

• Experience: 7 to 10 years of professional experience in systems engineering, with a demonstrable focus on low-latency systems or high-performance computing (HPC).
• Language Proficiency: Strong, production-level proficiency in Rust and/or C++.
• Systems Depth: Comfort reasoning about memory management, lock-free data structures, compiler behavior, and CPU-level performance.
• Tooling: Experience using Linux performance tooling such as perf, flamegraphs, strace, or similar tools.
• Networking Fundamentals: Solid understanding of network stack behavior, including TCP, UDP, multicast, and kernel bypass.
• Problem Solving: Ability to debug complex production issues and optimize systems under real-world constraints.

Nice to Have (Bonus Points)

• Prior exposure to trading systems, market data feeds, or exchange connectivity.
• Familiarity with financial market protocols (e.g., FIX, ITCH, OUCH).
• Experience with low-latency networking technologies like DPDK, RDMA, or kernel bypass.
• Familiarity with co-location environments and latency-sensitive infrastructure.

Culture & Fit

We are looking for an engineer who takes ownership, thrives in ambiguous and fast-moving environments, and holds an incredibly high bar for correctness and performance. If you love drilling down into the lowest levels of software to squeeze out maximum efficiency, we want to hear from you.

Construction Project Manager

Company: Lyncotek Venture Pvt Ltd

Location: Peenya 2nd Stage, Bangalore

Experience: 0–2 Years

Job Type: Full-Time

Job Summary

We are seeking a Construction Project Manager to oversee project execution, site coordination, and project planning.

Responsibilities

• Plan and coordinate project activities
• Monitor project progress and timelines
• Coordinate with site teams and vendors
• Ensure quality and safety standards
• Prepare project reports and documentation

Requirements

• BE/B.Tech or Diploma in Civil Engineering
• 0–2 years of experience preferred
• Good leadership and coordination skills
• Knowledge of construction activities

Candidate must have 4–7 years of experience in analytics / business analytics roles.

2. Candidate must be currently based in Bangalore only (no relocation allowed).

3. Candidate must have hands-on experience with Python and SQL.

4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).

5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).

6. Candidate must be available for face-to-face interviews in Bangalore.

7. Candidate must have experience working closely with business, product, and operations teams.

At Webcyper Pvt Ltd, we are a growing technology company building innovative web solutions for our clients. We focus on delivering high-quality digital products, and we’re on a mission to scale our operations with talented, passionate individuals.

If you're a problem solver, love clean code, and are excited to work in a fast-paced startup environment — we want to hear from you!

Key Responsibilities:

Develop, test, and maintain high-quality web applications using Python and Django framework.

Work closely with frontend developers and designers to implement user-friendly interfaces.

Integrate third-party APIs and services.

Write clean, reusable, and efficient code.

Optimize applications for speed and scalability.

Troubleshoot, debug, and upgrade existing applications.

Participate in code reviews and technical discussions.

Stay up-to-date with emerging trends and technologies in backend development.

• Previous experience working with a custom theme and/or the Storefront API
• Working knowledge of Shopify's theming system and Liquid templating
• Working knowledge of Shopify's object/properties, AJAX API, and Meta fields
• A bachelor's degree in information technology, computer science, or a related discipline

Summary of the role: 

As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.

Qualification:

• Bachelor’s degree from an accredited university
• Strong technical aptitude and expertise with JavaScript, HTML,CSS
• Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions

Experience:

• 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
• Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
• Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus

Responsibilities:

• Understand client business requirements and how to map those requirements to specific digital measurement tactics
• Development of documentation, deliverables and solutions requirements for web analytics tracking
• Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
• Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives

Key Skills:

• Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
• Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
• Hands on experience in writing DTM rules and troubleshooting the existing implementations
• Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
• Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
• Knowledge of web development technologies - JavaScript, HTML, CSS etc.
• Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
• Excellent ability to read and debug HTML, JavaScript to successfully test tags
• Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
• Excellent written skills and the ability to write for both technical and non-technical users
• Willingness to travel for client discoveries and other off-site meetings
• Experience with developing analytics testing processes
• Ability to effectively communicate with clients and colleagues at all levels