HR analytics

Role Overview:

We’re looking for a Senior Software Test Engineer with 7+ years of experience in testing scalable, event-driven microservices and real-time data pipelines.

Key Responsibilities:

• Validate and ensure quality of microservices-based architectures.
• Test real-time data pipelines built using Kafka and CDC tools (e.g., Debezium).
• Work with graph databases (Neo4j) to analyze and verify complex data relationships.
• Perform API testing using REST Assured.
• Develop and maintain end-to-end test automation using Playwright with TypeScript.
• Collaborate with development teams to improve overall product quality and reliability.

Position: AEM Developer – Backend (Apple)

Locations: Hyderabad, Chennai, Bangalore, Bhubaneswar, Pune, Mumbai

• Interview Rounds: 2 Technical
• Notice Period: Immediate to 30 days

Experience Required

• 7–10 years total IT experience (Minimum 7+ years mandatory)
• 4+ years hands-on experience in AEM Backend
• 4+ years strong Java Core development experience

Key Skills & Responsibilities

• Strong Core Java (Collections, Exception Handling, Design Patterns, Multithreading)
• Hands-on experience with AEM 6.4+
• Expertise in Sling, OSGi, JCR, WCM APIs, Sling Models
• Strong knowledge of Workflows, Workflow Launchers, Event Handlers, Schedulers, Sling Jobs
• Experience in REST APIs, JSON, Lucene Indexing
• Knowledge of Sightly (HTL), Touch UI, Editable Templates, Clientlibs
• Exposure to Coral/Granite UI customization
• Experience with Query Builder, Indexing, Session Handling
• Strong understanding of AEM Security (ACL, SSO)
• Performance tuning: Dispatcher caching, query optimization
• Infrastructure setup: Dispatcher, Apache, Cronjobs
• Experience with TarMK, MongoMK, S3 persistence
• Build & Deployment using Maven, Jenkins, CI/CD
• Experience in AEM upgrades (Service Packs, Version Upgrade, Migration)
• Knowledge of Headless CMS, MSM, API integrations
• Exposure to Automated Testing tools (Junit, Selenium)
• Good understanding of DXP landscape
• Prior Apple project experience is a strong plus

Key Responsibilities:

• Make outbound calls and handle inbound inquiries to counsel students and parents about our courses and programs.
• Understand student requirements, preferences, and academic background to suggest suitable courses.
• Follow up on leads and inquiries through calls, emails, and messages.
• Convert leads into walk-ins, and walk-ins into successful admissions.
• Meet and exceed weekly/monthly admission targets and KPIs.
• Coordinate with the academic and operations team to ensure smooth onboarding of students.
• Stay updated with course offerings, admission criteria, deadlines, and industry trends.

Required Skills & Qualifications:

• Bachelor's degree in any discipline (preferred: Education, Business, or Communication).
• Prior experience in telesales, inside sales, or academic counselling is a plus.
• Excellent verbal and written communication skills.
• Strong interpersonal and persuasive abilities.
• Proficiency in using MS Office tools.
• Goal-oriented mindset with the ability to work under pressure.

• Working with designers to implement visual designs and user interfaces.
• Creating and optimizing website layouts and navigation.
• Integrating graphics, audio, and video content.

Website Maintenance:

• Monitoring website performance and troubleshooting issues.
• Performing website updates and maintenance.
• Ensuring website security and data protection.

Collaboration:

• Working closely with designers, content creators, and other team members.
• Communicating effectively with clients or stakeholders.
• Participating in project planning and development meetings.

Technical Proficiency:

• Staying up-to-date with emerging web technologies and trends.
• Using version control systems (e.g., Git).
• Understanding of server-side technologies and database management.
• Understanding of SEO principles.

Requirements:

• Must have 5+ years of experience
• Strong proficiency in data engineering concepts and practices.
• Extensive experience in applying data science and machine learning techniques.
• Working knowledge of extracting information from unstructured data sources, particularly PDFs.
• Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
• Knowledge of prompt engineering and fine-tuning techniques.
• Practical experience in building Retrieval-Augmented Generation (RAG) systems.
• Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
• Proven experience in extracting valuable insights from diverse data sets.
• Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
• Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
• Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.

Good to have:

Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

Preferred Qualifications:

BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.

Note: We are looking for passionate candidates who can join immediately.

Job Description

We are looking for an experienced engineer with superb technical skills. Primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Skills

• Bachelors/Masters/Phd in CS or equivalent industry experience
• Demonstrated expertise of building and shipping cloud native applications
• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

Must-Have:

• Core Java (Must be good in Core Java concepts, Java programming practices, Clean coding.)
• Spring Framework(Must have working experience in Spring Core)
• Any SQL framework(hands-on working experience in any of these: Hibernate/JPA/MyBatis/Spring Data/Others)
• Hands-on experience in REST API
• Hands-on experienceSQL Database(any of the databases: Oracle/MySQL/PostgreSQL/SQLServer)
• Must have working experience with basic GIT
• Maven or Gradle (Must have working experience in building Java projects using maven or Gradle.)
• Should be able to work independently under someone's guidance.

Good to have:

• Advanced Java(Threading, Performance optimization)
• Spring Boot
• Other Spring frameworks(Spring Security, Spring Batch, Others)
• Microservices - Any NoSQL database(MongoDB, Cassandra, others)
• Application designing concepts.