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Job Title : Performance Test Engineer
Experience : 6+ Years
Location : Baner, Pune
Joining : Immediate (by 1st week of October)
Job Summary :
We are seeking a skilled and motivated Performance Test Engineer with a strong background in performance testing, automation, and analysis. The role involves ensuring product excellence through performance tuning, scalability validation, and end-to-end performance engineering.
Mandatory Skills : Performance Testing (JMeter/LoadRunner/RPT), Performance Analysis, Automation Testing, Load & Scalability Testing.
Key Responsibilities :
- Design, develop, and execute performance test plans, scripts, and scenarios using JMeter, LoadRunner, or RPT.
- Conduct load, stress, scalability, and endurance testing for enterprise applications.
- Analyze test results, identify bottlenecks, and provide recommendations for optimization.
- Collaborate with development and architecture teams for detailed performance analysis and tuning.
- Monitor system health, troubleshoot performance issues, and provide technical insights.
- Work on multi-user scenario scripting and cloud-based performance testing.
Requirements :
- 6+ years of experience in software testing, with at least 2 years in automation and 2 years in performance test analysis.
- Hands-on expertise in JMeter, LoadRunner, or RPT.
- Strong understanding of performance engineering concepts: response time, load, scalability, and tuning.
- Experience in analyzing system metrics and identifying performance bottlenecks.
- Exposure to C++ coding is an added advantage.
- Cloud-based application testing experience is a plus.
- Strong problem-solving, troubleshooting, and collaboration skills.
Interview Process :
- Technical Interview
- Online Test
- HR Interview
- Client Interview
Google Analytics
Data AnalyticsReview Criteria
- Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
- 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
- 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
- Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
- Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
- Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
- Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
- Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Preferred
- Ability to build insightful dashboards and executive reports highlighting user engagement, retention, and behavioral metrics; familiarity with mixed-method research, AI-assisted insight tools (Dovetail, EnjoyHQ, Qualtrics, UserZoom), and mentoring junior researchers
Job Specific Criteria
- CV Attachment is mandatory
- We have an alternate Saturday’s working. Are you comfortable to WFH on 1st and 4th Saturday?
Role & Responsibilities
Product Conceptualization & UX Strategy Development:
- Conceptualize customer experience strategies
- Collaborate with product managers to conceptualize new products & align UX with product roadmaps.
- Develop and implement UX strategies that align with business objectives.
- Stay up-to-date with industry trends and best practices in UX & UI for AI.
- Assist in defining product requirements and features.
- Use data analytics to inform product strategy and prioritize features.
- Ensure product alignment with customer needs and business goals.Develop platform blueprints that include a features and functionalities map, ecosystem map, and information architecture.
- Create wireframes, prototypes, and mock-ups using tools like Figma
- Conduct usability testing and iterate designs based on feedback
- Employ tools like X-Mind for brainstorming and mind mapping
Customer Journey Analysis:
- Understand and map out customer journeys and scenarios.
- Identify pain points and opportunities for improvement.
- Develop customer personas and empathy maps.
Cross-Functional Collaboration:
- Work closely with internal units such as UX Research, Design, UX Content, and UX QA to ensure seamless delivery of CX initiatives.
- Coordinate with development teams to ensure UX designs are implemented accurately.
Data Analytics and Tools:
- Utilize clickstream and analytics tools like Google Analytics, CleverTap, and Medallia to gather and analyse user data.
- Leverage data to drive decisions and optimize customer experiences.
- Strong background in data analytics, including proficiency in interpreting complex datasets to inform UX decisions.
Ideal Candidate
- Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
- 5+ years of experience in CX/UX roles, preferably in a B2C environment.
- Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
- Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
- Excellent communication and collaboration skills.
- Proven experience in managing cross-functional teams and projects.
- Strong background in data analytics and data-driven decision-making.
- Expert understanding of user experience and user-centered design approaches
- Detail-orientation with experience and will to continuously learn, adapt and evolve
- Creating and measuring the success and impact of your CX designs
- Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
- Experienced in designing responsive websites as well as mobile apps
- Understanding of iOS and Android design guidelines
- Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
- Excellent communication skills to be able to present their work and ideas to the leadership team.
Position: Sales Development Representative (International Voice Process)
Job Responsibilities
● Making multiple outbound calls to assigned B2B prospects. Develop sales opportunities by researching the prospective company, using influencing and relationship-building skills, and providing information on the client's product/value proposition.
● Ability to understand the key objections from prospects, clarify their concerns & use product knowledge & vendor-led training to alleviate these concerns & move the sales cycle forward. Persistently follow up with the prospect in a clear & timely manner to ensure positive outcomes.
● Understand customer campaigns, and their products/services and appropriately communicate customer brand identity to prospects. Provide detailed and concise feedback to the Voice Operations leads on the outcomes (conversions/rejects / not interested etc.).
● Undertakepre-sales outreach processes such as AG, HQL, SQL, BANT, marketing, and sales lead qualification.
Requirements:
● Minimum2yearsexperience in B2B sales, ideally selling to technology stakeholders, and senior stakeholders including C-suite within the enterprise and SMB organizations with a solid track record of lead conversions via outbound calling and emails.
● Been part of marketing and sales lead generation campaign teams focusing on SQL, MQL, BANT, AG, etc.
● Excellent verbal communication and convincing skills; should be able to think on their feet and provide effective rebuttals/responses to prospects on the calls.
● Strong track record of meeting their targets for SQL / MQL / BANT/ AG campaigns.
• Should be self-motivated, energetic, able to work in a dynamic environment focusing on outcomes, and demonstrate a high level of resilience.
● Ago-getter, and collaborator who is keen to learn and is highly receptive to feedback.
Technical Skills – Mandatory:
- SailPoint IdentityIQ (IIQ) Development
- API Connectors & Web Services Integration
- Application Onboarding via WebService Connectors
- Note: Only Active Directory onboarding is not required
- Be specific:
- Ask which connectors candidates have worked on (Preferred API or JDBC)
- Hands-on experience in designing and implementing SailPoint connectors like API or Webservice ,JDBC , MainFrame, LDAP, SQL Server, and Sybase
- Ask how many applications they’ve integrated via WebService
- Proficiency in:
- Java
- API and JDBC
- Workflows
- filters
- Connector Development
- Integrated Applications
- Experience in developing and debugging Java rules within IIQ
- Expertise in developing rules at various levels: workflow, form, and Quicklink
- Solid understanding and hands-on experience in Identity and Access Management (IAM), specifically with SailPoint
- Experience in writing rules to customize certification processes
- Ability to write rules for custom task creation and execution
- Expertise in SailPoint certifications such as Manager, Advanced, Account Group Permissions, and Delegation Rules
- Experience in custom connector development
Key Responsibilities
Lead Generation & Outreach
· Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.
· Execute email campaigns targeting prospects to generate leads and create business opportunities.
· Mine data and extract information of C-level executives from various online sources and tools.
Sales Process Management
· Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.
· Assist senior staff in generating and following up on leads.
· Convince clients, schedule appointments, and manage the sales pipeline.
· Track sales efforts and monitor results to ensure alignment with targets.
Customer Relationship Management
· Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.
· Collect customer feedback and conduct market research to inform business strategy and product development.
· Maintain CRM systems to manage lead generation, track interactions, and store customer information.
Market & Competitor Analysis
· Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.
· Increase business opportunities through various routes to market.
Required Skills & Qualifications
· Strong communication and interpersonal skills.
· Proficient in email marketing, cold calling, and LinkedIn outreach.
· Experience in data mining and CRM systems.
· Ability to prepare detailed reports and commercial proposals.
· Strong analytical and organizational skills.
· Ability to work independently and as part of a team.
· Understanding of market research and customer feedback processes.
Performance Metrics
· Number of new leads generated.
· Conversion rate of leads to appointments and sales.
· Quality and timeliness of proposals and reports.
· Customer satisfaction and feedback.
· Sales targets and revenue growth.
Our client is the industry-leading provider of AI Assisted Conversational messaging
solutions. They help Professionals and Institutes such as Doctor, Lawyers and Hospitals and
Education Institutes drive consumer experience over text messaging channels like SMS/
Whatsapp in their Enquiry management and Customer support processes. As a forward-
thinking global company, it continues to innovate and develop cutting-edge technologies like
Conversational AI, Chatbots, and Omnichannel solutions that redefine how businesses
digitally communicate with their customers. They integrate with Top CRMs like Salesforce,
Zoho, Hubspot among others to drive engagement in key moments, and have acquired 5000
customers across SMB’s and Mid-market (from small Professional Doctors and lawyers to
large global staffing companies and large insurance companies).
As the Director of Sales, you will play a pivotal role in driving business growth by engaging,
winning, and retaining customers for their messaging solutions. Their approach emphasizes
consultative selling, supported by cutting-edge sales tools across the entire funnel. Key
responsibilities include building and leading a sales team in India, achieving ambitious sales
targets, managing a pipeline of prospects, and forecasting performance with precision.
Key Responsibilities:
● Sales Team Leadership: Build and lead a high-performing sales team, ensuring the
achievement of a sales targets
● Pipeline Management: Develop and manage a robust pipeline of prospects to
consistently deliver positive results.
● Forecasting Accuracy: Provide accurate monthly and quarterly performance
forecasts, maintaining a 10-20% margin of error from actual bookings.
● Collaboration with Customer Success and Development Teams: Work closely
with customer success and development teams to meet customer requirements
effectively.
● Market Insights and Playbooks: Collaborate with the US-based VP Marketing to
identify market opportunities, work with large/medium customers and partners, and
create relevant sales playbooks and collaterals.
● Customer Engagement: Understand customer sales and marketing processes,
provide consultancy on best messaging programs, and evangelize company’s
solutions.
● Ensure the team is able to generate their own leads to meet assigned quotas.
What we need:
● Minimum 12+ years hands-on prior work experience with SaaS sales
● Prefer at least 6-8 years successfully running a sales organization (team)
● Willingness to work in US shift timing- 7pm- 4am IST.
● Love crushing goals and quotas
● Ability to live, eat and breathe data and insights. You should also be able to look at
Customer’s dashboard and make sense of what’s happening - which campaigns are
performing, who are their most responsive sales guys etc.
● Agile, Nimble, and energetic - These are the hallmarks of a magician. Nimble but
long-term planning, quick and agile execution which can be measured on a day-to-
day basis.
● Breathes Customers - Extremely customer centric and willingness to go that extra
mile to win a customer and more importantly woo them. This is their Core Value and
they want the DoS to exhibit it aplenty.
● Self-starter, motivated individual - who can work alone and create an impact
● Strong team player - Ability to work with cross geographical teams and in different
time zones.
Company Benefits:
● Attractive Salary: Enjoy a generous fixed compensation that recognizes your
expertise and leadership.
● Performance-based Incentives: Your contributions and achievements will be
rewarded through performance-based incentives, reflecting the value you bring to the
organization.
● Bonus Compensation: Standout performance may lead to additional bonuses
through the reward process, recognizing your exceptional contributions.
● Comprehensive Insurance Coverage: Group medical insurance for you, your
spouse, and two children, along with personal accidental insurance.
● Shift Allowance: Additional compensation is offered for specific shifts, ensuring that
you are fairly rewarded for your commitment and dedication.
● Employee Wellness: Well-being of employees is at the forefront. Work in an
environment that promotes a healthy work-life balance, allowing you to excel in both
your professional and personal life.
● Experience of a lifetime:
○ The freedom and flexibility to handle your role in a way that’s right for you
○ Gain exposure to a dynamic and growing global business environment
○ Exposure to innovative and cutting-edge technology and tools
○ Scope to showcase one’s analytical capabilities and make high impact
contributions to Business teams
C#JD mentioned below:
- Hands on Experience with Microsoft Power Automate Flows & Desktop versions. Experience in developing and delivering MS365 solutions based on Microsoft and Cloud best practices.
- Modelling and developing out robotic processes using Microsoft Power Automate and Azure Form Recognizer during the project development stage.
- Experience in Azure Form Recogniser
- Hands-on experience in developing, improving, and supporting RPA programs with data integrity standards.
- Proficiency in one or more system level programming languages (C#, Java, Python, Angular 12 etc.) and a willingness to learn new languages.
- Understanding data structures and follows coding best practices, e.g. naming conventions, error handling, logging, and commenting.
- Good knowledge on end to end automation analysis and feasibility.
- Ability to perform feasibility of automating business processes.
- Ability to solve a problem using critical thinking, including assessment of existing process to determine feasibility of Automation and the ability to break down business problems into logical tasks .
- Ability to perform code readability to understand how the code is implemented and documented ability to understand the dependencies for the code to run.
Preferred Skills:
- Microsoft Power Automate certification will be an added advantage.
- Must be able to perform administration of Power Automate in Admin Centre .
- Must have hands-on experience and troubleshooting knowledge in Power Automate. Functional knowledge of Agile development and RPA development lifecycle management principles.
- Hands-on at least one other RPA Tools Blue Prism, Automation Anywhere, Ui Path etc..
- Must be able to communicate and work effectively in a multi-cultural environment.
- Must be capable of taking initiative, with a firm understanding of the final goal to be achieved.
- Must be an excellent team player possesses strong problem-solving and analytical skills.
- Able to handle confidential and sensitive company information
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with 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 knowledge 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 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.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Maveric is a T24 Company with large base of consultants
Securities:
- Should have Knowledge in T24
- Should be having good knowledge in Investment Products like, Equities, Bonds, Derivatives, Structured Products etc.
- Also should be well versed with processes like Corporate Actions, Mandate Management, Portfolios, Positions etc
Finance:
- Should have FI module knowledge of T24
- Should be having a very good knowledge on processes like IFRS, US GAAP, Year End Process, Accrual Bookings, Yearend process etc.
- Should have good knowledge in configuring Reports, Products etc.
TPH:
- Should have good knowledge on various payment systems like CHAPS, BACs etc
- Should have good knowledge on T24 configurations for TPH
- Should be well versed with the T24 TPH integration with other T24 modules
- Should be well versed with various SWIFT messages
- Should have development experience (for Developer profiles)
Tax & Regulatory Compliance
- Should have basic knowledge of T24 Modules
- Should have worked in European Regulatory space with Investment perspective
- Should have good knowledge of WHT, Corporate tax etc with respect to Investment portfolios
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