11+ HP LoadRunner Jobs in Pune | HP LoadRunner Job openings in Pune

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 :

1. Technical Interview
2. Online Test
3. HR Interview
4. Client Interview

Sales Development Representative (SDR) – SaaS

We are looking for a driven and results-oriented Sales Development Representative (SDR) to join our growing sales team and help generate new business opportunities for our SaaS products.

If you have experience in B2B and international sales, outbound prospecting, and SaaS solutions, this is a great opportunity to grow in global SaaS sales.

Location: Pune

Experience: 3–8 Years

Key Responsibilities

• Generate leads through cold calling, email outreach, LinkedIn, and social selling

• Conduct outbound prospecting and qualify inbound leads

• Identify potential clients for SaaS-based products

• Schedule discovery calls, demos, and meetings for the sales team

• Maintain accurate data and track activities in CRM systems

• Use tools like Sales Navigator, Apollo, ZoomInfo, Seamless for prospecting

• Research target accounts and identify new market opportunities

• Achieve monthly KPIs (meetings booked, qualified leads)

• Collaborate with sales, marketing, and presales teams to build pipeline

• Understand the B2B SaaS sales cycle and support deal closures

What We’re Looking For

✔ 3–6 years of experience in SDR / BDR / Inside Sales roles (SaaS preferred)

✔ Strong communication and prospecting skills

✔ Experience in B2B SaaS sales

✔ Hands-on experience with CRM tools and sales prospecting platforms

✔ Good understanding of SaaS products, subscription models, and value selling

✔ Target-driven and proactive mindset

✔ Bachelor’s degree in Business, Marketing, IT, Engineering, or related field

✔ Mandatory: Experience working with international markets such as US, UK, Europe, North America,etc

Why Join Us

• Work in a fast-growing SaaS environment

• Exposure to global clients and international sales cycles

• Strong learning and career growth opportunities

• Drafting, reviewing and negotiating of customer/subcontractor agreements in a wide range of industrie.
• Extensive experience with vetting, drafting and negotiating master service agreements, subcontractor, non-disclosure agreements, statement of works, change orders etc.
• Well versed in local commercial and corporate law with global outlook.
• Collaborate with various business functions in connection with driving deal negotiations.
• Post signing contract management, including amendments to existing contracts, business team support and counsel
• Train the other legal team members on negotiation/drafting skills
• Managing, mentoring and leading team members.

• 8+ years of law firm experience with a mid to large size law firm or IT company or similar industry with a focus on general corporate law. An understanding of IT and IT sourcing contracts a plus
• Strong knowledge and experience in negotiating high value commercial contracts. Candidate should possess experience in handling international clients and exposed to international laws

About the company- FPL Technologies

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies. 

OneCard (Best credit card app) : http://www.getonecard.app/">www.getonecard.app

OneScore (Over 10 million downloads): http://www.onescore.app/">www.onescore.app

Create a consumer facing credit card product that will be used by millions of users. 

What you will do:

• Be a part of our backend for frontend/ credit card processing engineering teams to build the best homegrown credit card stack.
• Partner with the product teams to understand the product features and specifications, translate them into high level and low-level design.
• Work with frontend and backend developers to build out a customer-centric experience that will constantly evolve.
• Respond to support team tickets as needed to resolve bugs and issues.
• Participate in contributing ideas, updates, and product development areas to the team.

Experience Range: 

5- 7 years with technical hands-on experience in building large-scale B2C applications catering to millions of users. Previous experience in building scalable products is a must.

Technical Expertise:

• Strong insight into Java programming language (Class loading, Memory Management, Transactions, Executors, Lambdas and Streams).
• Experience in distributed technologies, real-time, high throughput and low latency systems.
• Hands-on prior experience with scalable Cloud based architectures.
• Experience in one or more frameworks like Spring is a plus but not required.
• Proficiency in data structures & algorithms.
• Strong problem solving and analytical skills.
• Any experience in payments is a plus.

• 6+ years of recent hands-on Java development
• Developing data pipelines in AWS or Google Cloud
• Java, Python, JavaScript programming languages
• Great understanding of designing for performance, scalability, and reliability of data intensive application
• Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
• In-depth understanding of object oriented programming concepts and design patterns
• Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
• Understanding of full software development life cycle, agile development and continuous integration
• Experience in Agile methodologies including Scrum and Kanban

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning