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Note: No Work from home
Required skills and experience
Should have 2+ years of development experience in C++.
Prefer someone with experience of VC++ and MFC.
Strong Object Oriented Design skills & C/C++, VC++ programming Skills
Experience on MFC based GUI designing preferred
Experience on developing applications on Dialog based, MDI, and SDI architectures
Experience on developing win32 or MFC based DLLs and Libraries
Hands-on experience in implementing multi-threaded applications
Quidcash is seeking a highly skilled and passionate Engineering Manager to lead, mentor, and grow a talented team of software engineers. You will be instrumental in shaping our technical direction, driving the development of our core products, and championing engineering excellence. This is a hands-on leadership role where you'll contribute to architectural decisions, foster a culture of innovation, and ensure your team is equipped to build scalable, robust, and intelligent systems.
If you're a leader who thrives on technical challenges, loves building high-performing teams, and is excited by the potential of AI/ML in fintech, we want to hear from you!
What You'll Do:
· Lead & Mentor: Manage, coach, and develop a team of software engineers, data scientists fostering an inclusive, collaborative, and high-performance culture. Conduct regular 1:1s, performance reviews, and support career growth.
· Technical Leadership: Provide strong technical guidance on architecture, design, and implementation of complex systems, particularly in microservices, OOPS principles, and cloud-native applications.
· AI/ML Integration: Drive the strategy and execution for integrating AI/ML models and techniques into our products and platforms, working closely with data scientists and engineers.
· Engineering Best Practices: Establish, evangelize, and enforce best practices for software development, including code quality, testing (unit, integration, E2E), CI/CD, security, and documentation.
· DevOps Culture: Champion and implement DevOps principles to improve deployment frequency, system reliability, and operational efficiency. Oversee CI/CD pipelines and infrastructure-as-code practices.
· Roadmap & Execution: Collaborate with Product Management, Design, and other stakeholders to define the technical roadmap, translate product requirements into actionable engineering tasks, and ensure timely delivery of high-quality software.
· Architectural Vision: Contribute to and influence the long-term architectural vision for Quidcash platforms, ensuring scalability, resilience, and maintainability.
· Problem Solving: Dive deep into complex technical challenges, lead troubleshooting efforts, and make critical technical decisions.
· Recruitment & Team Building: Actively participate in recruiting, interviewing, and onboarding new engineering talent.
What You'll Bring (Must-Haves):
· Experience:
o Proven experience (6+ years) in software engineering, with a strong foundation in Object-Oriented Programming (OOP/S) using languages like Java, Python, C#, Go, or similar.
o Demonstrable experience (2+ years) in an engineering leadership or management role, directly managing a team of engineers.
· Technical Acumen:
o Deep understanding and practical experience with microservice architecture, including design patterns, deployment strategies (e.g., Kubernetes, Docker), and inter-service communication.
o Solid experience with cloud platforms (AWS, GCP, or Azure).
o Familiarity and practical experience with AI/ML concepts, tools, and their application in real-world products (e.g., machine learning pipelines, model deployment, MLOps).
o Proficiency in establishing and driving DevOps practices (CI/CD, monitoring, alerting, infrastructure automation).
· Leadership & Management:
o Excellent leadership, communication, and interpersonal skills with a proven ability to mentor and grow engineering talent.
o Experience in setting up and enforcing engineering best practices (code reviews, testing methodologies, agile processes).
o Strong project management skills, with experience in Agile/Scrum methodologies.
· Mindset:
o A proactive, problem-solving attitude with a passion for continuous improvement.
o Ability to thrive in a fast-paced, dynamic startup environment.
o Strong business acumen and ability to align technical strategy with company goals.
Nice-to-Haves:
· Experience in the FinTech or financial services, lending industry.
· Hands-on experience with specific AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
· Experience with event-driven architectures (e.g., Kafka, RabbitMQ).
· Contributions to open-source projects or a strong public technical presence.
· Advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, or a related field.
Why Join Quidcash?
· Impact: Play a pivotal role in shaping a product that directly impacts Indian SMEs business growth.
· Innovation: Work with cutting-edge technologies, including AI/ML, in a forward-thinking environment.
· Growth: Opportunities for professional development and career advancement in a growing company.
· Culture: Be part of a collaborative, supportive, and brilliant team that values every contribution.
· Benefits: Competitive salary, comprehensive benefits package, be a part of the next fin-tech evolution.
Role Overview: As an Business Development Executive, you'll convert leads, qualify prospects, and engage customers to boost sales. Your efforts will directly impact our mission to empower professionals worldwide.
Joining: Immediate
Interview Mode: Face-to-Face
Key Responsibilities:
- Convert leads from various marketing channels
- Create and execute short- and long-term sales plans
- Identify cross-selling and upselling opportunities
- Leverage customer referrals to expand the pipeline
- Build strong customer relationships
- Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
- Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
- Good knowledge of SQL querying.
- Strong skill in analysing data and uncovering patterns using SQL or Python.
- Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
- Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
- Experience in big data technologies a big plus.
- Experience in machine learning, especially in data quality applications a big plus.
- Experience in building data quality automation frameworks a big plus.
- Strong experience working with an Agile development team with rapid iterations.
- Very strong verbal and written communication, and presentation skills.
- Ability to quickly understand business rules.
- Ability to work well with others in a geographically distributed team.
- Keen observation skills to analyse data, highly detail oriented.
- Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
- Able to identify stakeholders, build relationships, and influence others to get work done.
- Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.
About Tech4Biz Solutions
Tech4Biz Solutions is a technology solutions provider that specializes in cloud computing, AI-driven applications, cybersecurity, and IT services. The company focuses on delivering cost-effective, scalable, and high-performance solutions tailored to business needs.
Key Offerings:
- Cloud Solutions – Custom cloud hosting, RDS (Relational Database Service), and infrastructure solutions.
- AI & Automation – AI-powered lead generation, web crawling, and AI-driven recommendations.
- RegTech & Compliance – Streamlining regulatory compliance with tech-driven solutions.
- Enterprise Software Development – End-to-end IT solutions using modern tech stacks like React.js, Node.js, MongoDB, and AWS.
As we expand, we are looking for a dynamic IT Recruiter & HR Manager to drive our talent acquisition and HR operations.
Key Responsibilities:
IT Recruitment-
- End-to-End IT Hiring – Source, screen, and hire top tech talent (Developers, DevOps, AI/ML Engineers, Cloud Architects).
- Talent Sourcing – Use platforms like LinkedIn, Naukri, CutShort, Instahyre, and GitHub to find and engage candidates.
- Technical Screening – Collaborate with hiring managers to assess technical skills.
- Offer Negotiation & Onboarding – Close candidates efficiently and ensure a smooth onboarding process.
- Pipeline Building – Maintain a strong talent pool for niche and future hiring needs.
HR Operations & Employee Management-
- Attendance & Leave Management – Maintain employee attendance records and leave tracking.
- Payroll Processing – Ensure timely payroll execution and compliance with tax & labor laws.
- HR Policies & Compliance – Implement and update HR policies in line with industry standards.
- Employee Engagement – Organize training sessions, feedback mechanisms, and engagement activities.
- Performance Management – Assist in performance reviews, PIP plans, and salary appraisals.
- Grievance Handling & Conflict Resolution – Maintain a positive work environment and address employee concerns.
Must-Have Skills:
✔ 3+ years of experience in IT recruitment & HR operations
✔ Strong understanding of tech stacks, programming languages, and IT job roles
✔ Hands-on experience with ATS (Applicant Tracking Systems) & HRMS software
✔ Knowledge of Indian labor laws, payroll, and compliance
✔ Excellent communication, negotiation, and people management skills
Good to Have:
➕ Experience hiring for Cloud, AI, Data Science, or DevOps roles
➕ Familiarity with technical screening tools like HackerRank or Codility
➕ Experience with Zoho HRMS, Darwinbox, or similar HR tools
Qualification : B.E./B.Tech. (Computer Science/IT)
Experience : 6-8 Years
Location : Remote/Bangalore
Roles and Responsibilities:
• Manage a team of software engineers, including task planning, system design and code reviews
• Drive technical projects and provide leadership in an innovative and fast-paced environment and collaborate
with product and project managers
• Be responsible for the overall planning, execution, and success of complex technical projects
• Contribute technically to projects
• Work closely with product management team to ensure we're building the best products
• Nurture and assess software developers
• Participate in the recruitment process
• Facilitate and ensure that developers follow the company engineering processes
Requirements:
• Bachelor's degree in Computer Science, related degree or equivalent practical experience.
• 6-8 years of relevant industry experience, with 3 years of hands-on technical leadership and people
management experience (managing teams of 8 or more developers).
• Hands-on programming experience in one of the following: Javascript and Python.
• Hands- on experience developing products and solutions on Cloud platforms such as AWS and GCP
• Large scale systems design experience.
Tech-Stack:
• AWS
• NodeJS Loopback
• TypeScript
• GraphQL
• NextJS/ReactJS
• React Native
• PostgreSQL
• TravisCI/CircleCI
• Neo4J
• Redis
• Apache Kafka
• Github
• JIRA/Confluence
• Slack
Benefits:
• Competitive Salary
• Flexible working hours and work-from-home policy
• Cutting Edge Tech Stack
• Diverse & inclusive culture. #AllAreWelcomeHere
• Collaborate with the best co-workers in the world
• Wellbeing initiatives
• Company events, self-development opportunities, and many more
- Calling existing and potential customers to persuade them to purchase the company's services.
- Accurately recording details of customers’ purchase orders.
- Processing all customer purchases accordingly.
- Generating promising leads to pursue.
- Managing customer accounts by ensuring that existing customers remain satisfied with the company's services.
- Developing and sustaining solid relationships with customers to encourage repeat business.
- Using sales scripts proffered by the company to drive sales and respond to customer rejections.
- Developing in-depth knowledge to make suitable recommendations based on customers' needs and preferences.
- Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
- Building data processing platforms.
- Developing micro service-oriented applications.
- Interact with stakeholders of the applications being developed.
3 Years - 8 Years
Information Technology
- Must have experience in Java JEE, Spring Framework, and Microservices
- Good to have MongoDb and Redis
- Experience in SQL and JDBC
- Experience in build tools Maven, git
- Experience in Cloud Platforms AWS, Azure is a plus.
Senior Big Data Engineer
Note: Notice Period : 45 days
Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA.
We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure.
It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges.
Key Qualifications
· 5+ years of experience working with Java and Spring technologies
· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations
· Knowledge of microservices architecture is plus
· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra
· Experience with Kafka or any streaming tools
· Knowledge of Scala would be preferable
· Experience with agile application development
· Exposure of any Cloud Technologies including containers and Kubernetes
· Demonstrated experience of performing DevOps for platforms
· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity
· Exposure to Graph databases
· Passion for learning new technologies and the ability to do so quickly
· A Bachelor's degree in a computer-related field or equivalent professional experience is required
Key Responsibilities
· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture
· Design and develop the big data-focused micro-Services
· Involve in big data infrastructure, distributed systems, data modeling, and query processing
· Build software with cutting-edge technologies on cloud
· Willing to learn new technologies and research-orientated projects
· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
- Understanding position requirements and the hiring function’s deliverables in depth.
- Sourcing, screening, and developing a candidate pipeline.
- Ensuring a healthy pipeline till closure, report sourcing risks upfront.
- Managing candidate expectations and negotiating compensation packages for new hires.
- Developing external contacts to stay abreast of new hiring practices and trends in the industry.
- Providing recruitment reports and metrics.
- Exposure to both tech and non tech positions across levels and experience in hiring high budget resources.
- Utilize the existing recruiting database and tools to maximize the output.
- Work with agencies to explain the hiring needs and give regular update about the candidates received on ATS.
- Work on recruiting projects to improve recruiting process efficiency.
- Maintain market intelligence on the hiring landscape and utilize this information for hiring the best talent in the firm.
Talent Management
- Provide support in the following areas: performance management, data analysis, employee relations, learning and development, and strategic development.
- Utilize data strategically: Identify trends in both qualitative and quantitative data to help improve organizational health, understand when data will assist in making informed decisions.
- Partner with team members to roll out programs to support employees on talent programs.
Requirements (Must Have):
- Comfortable working in fast-paced, high growth, dynamic business environment.
- Effective influencing and communication skills, with the ability to build relationships with employees, leaders, and a variety of stakeholders to drive organizational change.
- Outstanding interpersonal skills; demonstrated ability to develop relationships within the organization;
- Excellent communication skills.
Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results






