Business Developer

Job Title: QA Tester – FinTech (Manual + Automation Testing)

Location: Bangalore, India

Job Type: Full-Time

Experience Required: 3 Years

Industry: FinTech / Financial Services

Function: Quality Assurance / Software Testing

About the Role:

We are looking for a skilled QA Tester with 3 years of experience in both manual and automation testing, ideally in the FinTech domain. The candidate will work closely with development and product teams to ensure that our financial applications meet the highest standards of quality, performance, and security.

Key Responsibilities:

• Analyze business and functional requirements for financial products and translate them into test scenarios.
• Design, write, and execute manual test cases for new features, enhancements, and bug fixes.
• Develop and maintain automated test scripts using tools such as Selenium, TestNG, or similar frameworks.
• Conduct API testing using Postman, Rest Assured, or similar tools.
• Perform functional, regression, integration, and system testing across web and mobile platforms.
• Work in an Agile/Scrum environment and actively participate in sprint planning, stand-ups, and retrospectives.
• Log and track defects using JIRA or a similar defect management tool.
• Collaborate with developers, BAs, and DevOps teams to improve quality across the SDLC.
• Ensure test coverage for critical fintech workflows like transactions, KYC, lending, payments, and compliance.
• Assist in setting up CI/CD pipelines for automated test execution using tools like Jenkins, GitLab CI, etc.

Required Skills and Experience:

• 3+ years of hands-on experience in manual and automation testing.
• Solid understanding of QA methodologies, STLC, and SDLC.
• Experience in testing FinTech applications such as digital wallets, online banking, investment platforms, etc.
• Strong experience with Selenium WebDriver, TestNG, Postman, and JIRA.
• Knowledge of API testing, including RESTful services.
• Familiarity with SQL to validate data in databases.
• Understanding of CI/CD processes and basic scripting for automation integration.
• Good problem-solving skills and attention to detail.
• Excellent communication and documentation skills.

Preferred Qualifications:

• Exposure to financial compliance and regulatory testing (e.g., PCI DSS, AML/KYC).
• Experience with mobile app testing (iOS/Android).
• Working knowledge of test management tools like TestRail, Zephyr, or Xray.

1. Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3–5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.

Required Skills:

· Experience in implementing Object-Oriented Python, Django.

· Good understanding on Django ORM.

· Experienced in interfacing with *third party API’s using REST

· Worked with varieties of Relational Databases (RDBMS) like SQLite, MySQL, PostgreSQL.

· Experience in Version Control with Git and Bitbucket.

· Experience with JIRA the development progress and tracking deadlines of the project

We are looking for an experienced professional to lead our lead generation and PPC strategy. The role focuses on driving high-quality leads, managing ad campaigns, and ensuring strong ROI. The ideal candidate will have leadership skills, hands-on PPC expertise, and a proven record of improving lead conversions.

Responsibilities

• Create and manage lead generation strategy to meet business targets.
• Plan and run PPC campaigns on Google Ads, LinkedIn, Meta, and Display networks.
• Optimize ad budgets to lower cost per lead (CPL) and improve ROI.
• Guide and mentor a team of lead generation and PPC executives.
• Work with sales teams to improve lead-to-customer conversion.
• Track and report KPIs like leads, CPL, CTR, CAC, and ROI.

Skills Needed

• 8–12 years of experience in lead generation and PPC.
• Strong knowledge of Google Ads, LinkedIn Ads, Meta Ads, and YouTube.
• Experience with CRM and automation tools (HubSpot, Salesforce, Zoho).
• Ability to analyze data and make decisions to improve performance.
• Team management and leadership skills.
• Edtech experience is mandatory.

Benefits

• Health insurance
• Life insurance
• Provident Fund

About Company

Our client works in the area of skilling and livelihoods for underserved youth. It is a pioneering program with a strong PPP model, an agency-led

approach to livelihoods and a vision of socio-economic transformation. The NGO runs through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together toward changing lives.

Responsibilities

● Design and execution of research into the impact of an agency-led approach to livelihoods.

● Design and execution of the appropriate baseline surveys in communities.

● Gaining an in-depth understanding of the impact of the NGO program at the community level.

● Identification of research partners as required.

● Building tools and systems for monitoring and evaluation of the Lighthouse program and guiding the work of the data & reporting team.

● Data quality audits for program-specific data across the organization.

Requirements

● Master’s degree in statistics or economics with a specialization in statistical methods, or social sciences with training in qualitative and quantitative research methods.

● Minimum 5 years of work experience in the social sector/ corporate sector.

● Critical thinking

● Analytical ability

● Result orientation

● Excellent written and oral communication in Hindi and English (Knowledge of Marathi

will be an added advantage)

● Creativity

Exciting Opportunity: Linux Engineer (L3)

Are you a seasoned Linux Engineer with over 10 years of experience in an enterprise technical support environment? Join our team and bring your expertise to provide advanced technical support for global HPE customers. We're looking for someone who can apply their deep technical knowledge in Linux administration, technical security management, database management, and performance management for critical, high-risk customers. If you're passionate about solving complex technical issues and delivering superior solutions, this role is for you!

Key Responsibilities:

• Provide advanced technical support via phone, email, and remote sessions
• Reproduce, troubleshoot, and resolve issues related to Linux systems
• Perform incident, escalation, and change management independently
• Conduct proactive problem management and root cause analysis
• Apply security patches, monitor environments for compliance, and handle disaster recovery planning
• Collaborate with cross-functional teams and vendors to resolve complex technical issues
• Lead and manage projects related to Knowledge Transfer (KT), Transition, and SOP creation
• Deliver exceptional customer satisfaction and maintain high service levels

Technical Skills Required:

• Strong expertise in installing, configuring, troubleshooting, and administering all Linux flavors
• Experience with Linux vulnerability assessment and mitigation
• Knowledge of Redhat Satellite, Oracle Linux Ksplice, Cluster Services, and Oracle RAC clusters
• Familiarity with SAN technologies, HP Blade Servers, Rackmount Servers, and Virtual Connect OS
• Disaster recovery planning and DR testing experience
• Experience in routine performance analysis, capacity planning, and security audits
• Proficiency with HPE Service Guard cluster on RHEL

Non-Technical Skills:

• Excellent written and verbal communication skills
• Commitment to delivering high-quality solutions and customer satisfaction
• Ability to work independently and lead technical teams in resolving complex issues
• Strong collaboration skills with the ability to influence customers and internal stakeholders
• Experience in delivering training and mentoring team members

Eligibility & Qualifications:

• Bachelor’s degree in Engineering (or equivalent)
• 10+ years of experience in Enterprise technical support
• Certifications like RHCE, Oracle Enterprise Linux, ITIL are a plus
• Flexibility to work in a 24x7 support environment

This role is perfect for a Linux professional looking to take ownership of complex issues in a global, mission-critical environment.

🌟 Apply Now to join our team and make a significant impact in the world of enterprise Linux support!

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

• Set up and run large scale PPC campaigns
• Optimize performance to increase reach, generate leads and transactions and reduce cost. (multiple optimizations in a day - if needed)
• Analyze trends, along with qualitative and quantitative data to recommend campaign changes and updates.
• Track and analyze website traffic flow and provide regular internal reports.
• Create performance reports with recommendations for improvements.
• Intra-team coordination to understand how the campaigns can yield more quality leads
• Certification is Google AdWords and Analytics is preferred

Experience:1-3 years of experience in;

• Planning, implementing, and reporting the performance of PPC campaigns for multiple clients
• Keyword research and analysis
• Media Planning
• Budget optimization

Platforms:

• Google Marketing Platform
• Specifically
• Google Adwords (Display, Mobile App, Video) and Analytics
• Bing Editor

Qualities

• Constant monitoring of the performance of multiple campaigns
• Attention to small details
• Updated on the latest trends on the above-mentioned platforms
• General Knowledge:
• Understanding of PPC Campaigns
• Understanding of advertising on Google, Facebook, Linkedin, and Twitter