Business Developer

We are seeking a skilled and experienced Performance Test Engineer to join our QA team. The ideal candidate will have 3–6 years of hands-on experience in performance testing of web and backend applications. This role requires expertise in tools like JMeter, LoadRunner, or Gatling, along with experience in analyzing performance metrics and identifying system bottlenecks. The candidate should have strong analytical thinking, a proactive approach to problem-solving, and the ability to collaborate effectively in a fast-paced development environment.

Key Responsibilities:

• Design, develop, and execute performance test plans and scripts for web and backend systems.
• Use tools like Apache JMeter, LoadRunner, or Gatling to simulate real-world load and stress conditions.
• Monitor and analyze server performance metrics (CPU, memory, database usage, response times) during test executions.
• Identify performance bottlenecks and work closely with developers and infrastructure teams to resolve them.
• Create comprehensive test reports and present results to stakeholders with clear insights and recommendations.
• Review business requirements, technical documentation, and user stories to derive performance testing needs.
• Automate performance test scenarios for continuous performance validation in CI/CD pipelines.
• Contribute to the improvement of testing strategies and performance testing best practices.

Must-Have Skills:

• 3–6 years of experience in performance testing and engineering.
• Hands-on experience with JMeter and/or LoadRunner for designing and running performance tests.
• Strong knowledge of HTTP protocols, thread modeling, and system tuning.
• Experience in analyzing test results, logs, and system monitoring tools (e.g., Grafana, Kibana, New Relic, or AppDynamics).
• Ability to simulate and validate load, stress, soak, and spike testing scenarios.
• Familiarity with scripting languages (e.g., Groovy, Java, Shell scripting).
• Strong problem-solving and root cause analysis skills.

Good-to-Have Skills:

• Experience integrating performance tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Basic knowledge of Java, API testing, or tools like Postman.
• Experience with cloud-based performance testing (e.g., BlazeMeter, AWS CloudWatch).
• Familiarity with service virtualization tools and mock servers.

HIRING PROCESS:

Once you apply by sharing your CV and filling out the form, we would see if you are a good fit for the role.

If your CV is shortlisted, we would first have a general conversational round to know more about you which would then be followed by video discussion, technical interview round(s) and then an HR discussion.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

What you’ll be doing

 Weare much more than our job descriptions, but here is where you will begin:

 As a Senior Software Engineer Data & ML You’ll Be:

 ● Architect, design, test, implement, deploy, monitor and maintain end-to-end backend

 services. You build it, you own it.

 ● Work with people from other teams and departments on a day to day basis to ensure

 efficient project execution with a focus on delivering value to our members.

 ● Regularly aligning your team’s vision and roadmap with the target architecture within your

 domain and to ensure the success of complex multi domain initiatives.

 ● Integrate already trained ML and GenAI models (preferably GCP in services.

ROLE:

 Whatyou’ll need,

 Like us, you’ll be deeply committed to delivering impactful outcomes for customers.

 What Makes You a Great Fit

 ● 5 years of proven work experience as a Backend Python Engineer

 ● Understanding of software engineering fundamentals OOPS, SOLID, etc.)

 ● Hands-on experience with Python libraries like Pandas, NumPy, Scikit-learn,

 Lang chain/LLamaIndex etc.

 ● Experience with machine learning frameworks such as PyTorch or TensorFlow, Keras, being

 proficient in Python

 ● Hands-on Experience with frameworks such as Django or FastAPI or Flask

 ● Hands-on experience with MySQL, MongoDB, Redis and BigQuery (or equivalents)

 ● Extensive experience integrating with or creating REST APIs

 ● Experience with creating and maintaining CI/CD pipelines- we use GitHub Actions.

 ● Experience with event-driven architectures like Kafka, RabbitMq or equivalents.

 ● Knowledge about:

 o LLMs

 o Vector stores/databases

 o PromptEngineering

 o Embeddings and their implementations

 ● Somehands-onexperience in implementations of the above ML/AI will be preferred

 ● Experience with GCP/AWS services.

 ● You are curious about and motivated by the future trends in data, AI/ML, analytics

• Candidate should be willing to work in start up culture, should be self starter

• Proven hands-on Software Development experience
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.

• 4+ years of experience
• Excellent technical skill on Salesforce or similar applications which include building customized applications using JAVA, MIcroservices, Apex classes and Triggers, Visualforce Pages, Apex Jobs, Lightning Component, Integration, Process Builder or configure components/Flexi pages to implement expected functionality.
• Worked with different tools like Copado, Data loader, Jira, VS Code, Eclipse, SonarQube, etc.
• Able to Manage deployment activities, code review, and deployment using data loader
• Implementation of Entitlement and Milestones, platform events, visual flows, etc.
• Implement web services using REST API/SOAP API.
• Inbound / Outbound Integration.
• Involvement in Solution designing and Estimations.
• Create Email Templates, Page Layouts, Record Types, Custom Fields, Lightning Record Pages, etc.
• Performed pre-deployment and post-deployment activities.
• Experience in Workflows, custom metadata
• Implementing DevOps in Enterprise application
• For Support Developer – Problem-solving mindset

Good to have –

• BFSI industry experience
• Agile project management experience

Job Description