QA Automation

Overview:

We're looking for a Full Stack Developer with strong backend expertise who can build,

manage, and scale AI-driven products end to end. You'll play a critical role in designing

scalable architectures, optimizing performance and cost, and building robust AI and agentic

systems.

Responsibilities

1. Architect and build scalable backend systems using FastAPI, PostgreSQL, and Redis.

2. Design, develop, and maintain AI-driven applications, integrating multiple LLMs, APIs,

and agentic frameworks.

3. Implement vector databases (pgvector, Qdrant, etc.) for RAG and AI memory systems.

4. Orchestrate multi-agent AI systems with LangChain/LangGraph, including function

calling, agent collaboration, and monitoring.

5. Build and integrate RESTful APIs for frontend and external use.

6. Manage DevOps workflows, including CI/CD, cloud deployments (AWS/GCP), server

scaling, and logging/monitoring (Sentry).

7. Optimize application cost, latency, and reliability, balancing speed with LLM call

efficiency and caching strategies.

8. Collaborate with product, design, and AI teams to translate business requirements into

high-performing tech.

9. Maintain documentation and ensure code quality with tests, reviews, and async-first

architecture.

10. Contribute to frontend development (React + TypeScript) when necessary, ensuring

seamless API integration and data visualization.

Requirements

Core Skills

• Strong proficiency in Python and FastAPI.

• Experience with PostgreSQL (including pgvector) and SQLAlchemy (async).

• Solid understanding of Redis, RQ (Redis Queue), and caching mechanisms.

• Proven experience integrating LLMs and AI APIs (OpenAI, Anthropic, etc.).

• Hands-on experience with LangChain / LangGraph, RAG pipelines, and agent

orchestration.

• Experience working with cloud platforms (AWS / GCP) and managing file storage (S3).

• Familiarity with frontend stacks (React, TypeScript, Tailwind, Zustand).

• Working knowledge of DevOps: Docker, CI/CD pipelines, deployment automation, and

observability tools (Sentry, Mixpanel, Clarity).

Bonus / Nice to Have

• Experience building agent monitoring dashboards or AI workflows.

• Prior experience in startup or product-based environments.

• Understanding of LLM cost optimization, token management, and function calling

orchestration.

• Familiarity with external API integrations like BrightData, Hunter.io, Adzuna, and Serper.

• Experience building scalable AI products (e.g., chatbots, AI copilots, data agents, or

automation tools).

Mindset

• Startup-ready: comfortable working in fast-paced, ambiguous environments.

• Deep curiosity about AI systems and automation.

• Strong sense of ownership and accountability for shipped products.

• Pragmatic and cost-conscious in architectural decisions.

• Excellent communication and documentation skills.

Given the qualifications and requirements you've shared (Ph.D. completion and a minimum of 2 years of experience) in the fields of Computer Science and Engineering (CSE), Information Technology (IT), and Electronics and Communication Engineering (ECE), here is a more tailored look at the specific expectations and skills an Associate Professor should bring to a department in such a technical field, along with the contextual setting of your mentioned location, KGiSL Campus in Saravanampatti, Coimbatore.

Eligibility:

• Complete the Master Degree In Relevant Field
• Candidates Clear the Any One Of UGC NET/SET
• Must Have a Ph.D Completion In Related Department

1. Academic Qualifications

• Ph.D. in Relevant Field: Candidates must have a Ph.D. in Computer Science, IT, or a closely related field. The Ph.D. should reflect deep expertise in a specific sub-area of the discipline.
• Publications: A strong record of publications in peer-reviewed journals and conferences, particularly in top-tier venues related to CSE, IT.
• Research Experience: Proven track record of independent and collaborative research projects, including contributions to advancements in areas such as machine learning, AI, data science, cybersecurity, embedded systems, etc.
• Teaching Experience: At least 2 years of experience in teaching and mentoring students, ideally at the university or college level, in courses related to CSE, IT.

2. Technical Skills

• Subject Expertise:
• CSE: Knowledge in areas such as Algorithms, Software Engineering, Data Structures, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Big Data, Database Systems, and Networking.
• IT: Familiarity with Programming Languages (Python, Java, C/C++, etc.), Web Development, Mobile App Development, Cloud Technologies, IT Infrastructure, Cybersecurity, and Network Security.

Senior Java Platform Engineer

Location: Bangalore / Mumbai (Hybrid)

Company: Wissen Technology

Experience: 10+ Years

About the Role

Wissen Technology is looking for a highly experienced Senior Java Platform Engineer to join our engineering team. In this role, you will design, develop, and maintain scalable, high-performance platform services that power mission-critical financial applications.

The ideal candidate will have deep expertise in Core Java, platform engineering, REST API development, and extensive experience working within the Financial Services domain.

Key Responsibilities

Platform Design & Development

• Design, develop, and maintain scalable, high-performance, and reliable platform services using Core Java.
• Build, integrate, and support RESTful APIs and web services.
• Write clean, maintainable, well-documented, and testable code.
• Participate in code reviews and promote engineering best practices.
• Contribute to architectural decisions and platform design initiatives.

Performance & Platform Engineering

• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve complex technical issues.
• Ensure platform security, availability, and operational excellence.
• Implement best practices for concurrency, multithreading, memory management, and performance tuning.

Data Management

• Work with both SQL and NoSQL databases.
• Design efficient data access and persistence strategies.
• Apply strong data modeling principles and database optimization techniques.

Financial Services Domain

• Develop solutions aligned with financial industry standards and regulatory requirements.
• Leverage a strong understanding of financial systems, products, and workflows.
• Ensure secure handling of sensitive financial data while maintaining compliance.

Automation & Workflow Management

• Utilize Python for scripting, automation, and operational tasks.
• Work with Apache Airflow (or similar workflow orchestration tools) to schedule and manage data pipelines.

Collaboration & Leadership

• Collaborate with Product Managers, Architects, QA Engineers, and cross-functional development teams.
• Communicate effectively with both technical and business stakeholders.
• Mentor junior engineers and contribute to the team's technical growth.
• Participate in Agile ceremonies and drive continuous improvement initiatives.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of hands-on experience in Core Java development.
• Strong experience building and maintaining enterprise-scale platform services.
• Expertise in Object-Oriented Programming (OOP), design patterns, and software engineering principles.
• Proven experience designing and developing RESTful APIs.
• Deep understanding of concurrency, multithreading, memory management, and performance optimization.
• Hands-on experience with SQL and NoSQL databases.
• Significant experience within the Financial Services industry.
• Exposure to Python scripting and automation.
• Experience with Apache Airflow or similar workflow management tools.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and stakeholder management abilities.
• Experience working in Agile/Scrum environments.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Docker and Kubernetes.
• Experience with messaging technologies such as Kafka or RabbitMQ.
• Understanding of financial regulations, governance, and compliance requirements.

Why Join Wissen Technology?

• Work on mission-critical platforms for leading financial institutions.
• Gain exposure to modern engineering practices and cloud-native technologies.
• Be part of a collaborative, innovation-driven engineering culture.
• Enjoy a hybrid work model based in Bangalore or Mumbai.
• Accelerate your career with opportunities for continuous learning and growth.

Develop and maintain scalable applications using MongoDB, MySQL/PostgreSQL, Node.js, Express.js, React.js, and TypeScript.

Design, develop, and optimize RESTful APIs and GraphQL services.

Lead and mentor a team of developers, ensuring best coding practices, performance, and security.

Collaborate with UI/UX designers, product managers, and DevOps teams to streamline development.

Contribute to AI-powered application development (if experienced in AI/ML).

Required Skills & Qualifications

✅ 2.5+ years of experience in MERN stack development.

✅ Expertise in React.js, TypeScript, Node.js, and Express.js.

✅ Strong database management skills with MongoDB, MySQL, or PostgreSQL.

✅ Proven experience in leading development teams and conducting code reviews.

✅ Excellent problem-solving and communication skills.

✅ Bonus: Experience in AI/ML-based applications is a plus.

Why Join Us?

🚀 Exciting Projects – Work on AI-driven and scalable web solutions.

🤝 Leadership Opportunity – Lead and mentor a talented team of developers.

💰 Competitive Compensation – ₹40K - ₹60K per month.

🏡 Dynamic Work Environment – Collaborative, innovation-driven workplace.

We are looking for a Talent Acquisition Associate with 1–2 years of experience to support end-to-end recruitment. The role involves sourcing candidates, coordinating interviews, screening profiles, and ensuring a smooth hiring process. Strong communication skills and the ability to work in a fast-paced environment are essential.

About US :

Edstellar.com is a global Learning & Development (L&D) company that provides corporate training solutions across a wide range of domains and industries. It focuses on delivering customized, instructor-led training programs to enterprises worldwide, helping them upskill their workforce and achieve business objectives through professional development.

🔍 Overview of Edstellar:

·      Website: https://www.edstellar.com

·      Industry: Learning & Development (L&D), Corporate Training

·      Founded: Part of the Invensis group of companies

·      Clients: Global enterprises, including Fortune 500 companies

·      Delivery Model: Onsite, virtual, and hybrid instructor-led training

📘 Key Offerings:

·      Training Delivery in 100+ Countries

·      4,000+ Courses across:

o  IT & Software Development

o  Project Management (e.g., PMP®, PRINCE2®)

o  Data Science & AI

o  Soft Skills & Leadership

o  Cybersecurity

o  Digital Marketing

·      Custom Learning Paths tailored to each client’s business and skill needs

·      Instructor Network: Thousands of experienced trainers worldwide

✅ What Sets Edstellar Apart:

·      Global Instructor Network for localized training

·      Fully Managed Training Programs from planning to post-training feedback

·      Enterprise Dashboard for tracking learning progress and ROI

·      Customized Content aligned with organizational goals

·      Focus on ROI and measurable training outcomes

🤝 Target Audience:

·      HR & L&D Teams

·      CTOs / CIOs / Department Heads

·      Training Managers

·      Enterprises undergoing digital transformation or workforce reskilling

JD : Job Title: L&D Operations Executive

Location: Bangalore (On-site)

Employment Type: Full-time

Working Days: Monday to Friday (5 Days/Week)

Openings: 3

Experience Required: 1–2 years in Learning & Development or Training Operations

🎯 Objective:

To manage and support daily operations related to training delivery at Edstellar. The role ensures sessions run smoothly, trainers and learners are well-supported, and all operational data is accurately tracked and reported.

🧩 Key Roles & Responsibilities

🔧 1. Training Session Coordination

• Coordinate and execute virtual or in-person training sessions as per schedule.
• Share session invites, pre-training materials, and joining links (Zoom/MS Teams).
• Provide live session monitoring and basic tech support.

📞 2. Trainer & Client Communication

• Act as a liaison between trainers, learners, and internal teams.
• Communicate session schedules, changes, or escalations as required.
• Collect trainer feedback and ensure proper documentation.

📊 3. Data Entry & Reporting

• Maintain session trackers (Google Sheets/Excel) and update LMS/CRM tools.
• Track attendance, trainer invoices, session feedback, and ticket statuses.
• Support generation of weekly/monthly performance and delivery reports.

🧾 4. Operational Support Activities

• Assist in document preparation, session audits, and troubleshooting.
• Coordinate with sales, finance, and sourcing teams to close operational loops.
• Follow up on trainer documentation for payouts and issue certificates.

📋 5. Quality & Compliance Assistance

• Support adherence to delivery quality benchmarks and SOPs.
• Track feedback ratings and assist QA with session recordings/reviews.
• Ensure compliance documentation for certified programs like PMI, ITIL, Scrum.

🧠 Required Skills & Competencies

• Excellent verbal and written communication skills
• Proficiency in Google Workspace (Docs, Sheets, Slides)
• Familiarity with LMS and CRM platforms
• High attention to detail and strong organizational skills
• Ability to multitask and manage time efficiently
• Willingness to work flexible hours across different global time zones
• A proactive, team-oriented mindset

• 5+ years of experience in a Data Engineering role on cloud environment

• Must have good experience in Scala/PySpark (preferably on data-bricks environment)

• Extensive experience with Transact-SQL.
• Experience in Data-bricks/Spark.

• Strong experience in Dataware house projects
• Expertise in database development projects with ETL processes.
• Manage and maintain data engineering pipelines

• Develop batch processing, streaming and integration solutions
• Experienced in building and operationalizing large-scale enterprise data solutions and applications

• Using one or more of Azure data and analytics services in combination with custom solutions
• Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers

• In-depth understanding of data management (e. g. permissions, security, and monitoring).
• Cloud repositories for e.g. Azure GitHub, Git
• Experience in an agile environment (Prefer Azure DevOps).

Good to have

• Manage source data access security
• Automate Azure Data Factory pipelines
• Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
• Experience in implementing and maintaining CICD pipelines
• Power BI understanding, Delta Lake house architecture
• Knowledge of software development best practices.
• Excellent analytical and organization skills.
• Effective working in a team as well as working independently.
• Strong written and verbal communication skills.
• Expertise in database development projects and ETL processes.

What you need to have: