Test Automation Engineer

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Key Responsibilities: -

• Counsel students and parents on academic programs, courses, and career

pathways.

• Understand student requirements and recommend suitable courses or programs.

• Handle inquiries via calls, emails, WhatsApp, and walk-ins.

• Assist students with the admission and enrolment process.

• Maintain accurate records of student interactions in CRM/ERP systems.

• Follow up with prospective students to ensure conversion and enrolment.

• Coordinate with academic and operations teams for smooth onboarding.

• Provide ongoing academic guidance and address student concerns.

• Meet assigned counselling and enrolment targets.

• Participate in seminars, webinars, and career guidance sessions.

Required Skills & Qualifications: -

• Graduate/Postgraduate in any discipline (Education background preferred), MBA,

Psychology, BBA

• Strong communication and interpersonal skills.

• Ability to understand student needs and provide appropriate guidance.

• Basic knowledge of academic programs, career options, and admissions

processes.

• Proficiency in MS Office and CRM tools.

• Target-driven with a student-centric approach.

About the Role:

We are looking for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization.

Key Responsibilities:

• Data Modelling & Visualization
• Build scalable and high-quality data models in Power BI using best practices.
• Define relationships, hierarchies, and measures to support effective storytelling.
• Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
• Data Transformation & ETL
• Perform advanced data transformation using Power Query (M Language) beyond UI-based steps.
• Design and optimize ETL pipelines using SQL, Python, and Big Data tools.
• Manage and process large-scale datasets from various sources and formats.
• Business Problem Translation
• Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions.
• Decompose business questions into testable hypotheses and identify relevant datasets for validation.
• Performance & Troubleshooting
• Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability.
• Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs.
• Analytical Storytelling
• Apply analytical thinking to design insightful dashboards—prioritizing clarity and usability over aesthetics.
• Develop data narratives that drive business impact.
• Solution Design
• Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility.

Required Skills & Experience:

• Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices.
• Hands-on with Python and SQL for data analysis, automation, and backend data transformation.
• Deep understanding of data storytelling, visual best practices, and dashboard performance tuning.
• Familiarity with DAX Studio and Tabular Editor.
• Experience in handling high-volume data in production environment.
• Exposure to Big Data technologies such as:
• PySpark (must have)
• Hadoop
• Hive / HDFS
• Spark Streaming (optional but preferred)

Why Join Us?

• Work with a team that's passionate about data innovation.
• Exposure to modern data stack and tools.
• Flat structure and collaborative culture.
• Opportunity to influence data strategy and architecture decisions.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Job Title: Full Stack Developer - SDE 2

Responsibilities

• Lead design and delivery of complex end-to-end features across frontend, backend, and data layers.
• Make strategic architectural decisions on frameworks, datastores, and performance patterns.
• Review and approve pull requests, enforcing clean-code guidelines, SOLID principles, and design patterns.
• Build and maintain shared UI component libraries and backend service frameworks for team reuse.
• Identify and eliminate performance bottlenecks in both browser rendering and server throughput.
• Instrument services with metrics and logging, driving SLIs, SLAs, and observability.
• Define and enforce comprehensive testing strategies: unit, integration, and end-to-end.
• Own CI/CD pipelines, automating builds, deployments, and rollback procedures.
• Ensure OWASP Top-10 mitigations, WCAG accessibility, and SEO best practices.
• Partner with Product, UX, and Ops to translate business objectives into technical roadmaps.
• Facilitate sprint planning, estimation, and retrospectives for predictable deliveries.
• Mentor and guide SDE-1s and interns; participate in hiring.

Qualifications & Skills

• 3–5 years building production Full stack applications end-to-end with measurable impact.
• Proven leadership in Agile/Scrum environments with a passion for continuous learning.
• Deep expertise in React (or Angular/Vue) with TypeScript and modern CSS methodologies.
• Proficient in Node.js (Express/NestJS) or Python (Django/Flask/FastAPI) or Java (Spring Boot).
• Expert in designing RESTful and GraphQL APIs and scalable database schemas.
• Knowledge of MySQL/PostgreSQL indexing, NoSQL (ElasticSearch/DynamoDB), and caching (Redis).
• Knowledge of Containerization (Docker) and commonly used AWS services such as lambda, ec2, s3, apigateway etc.
• Skilled in unit/integration (Jest, pytest) and E2E testing (Cypress, Playwright).
• Frontend profiling (Lighthouse) and backend tracing for performance tuning.
• Secure coding: OAuth2/JWT, XSS/CSRF protection, and familiarity with compliance regimes.
• Strong communicator able to convey technical trade-offs to non-technical stakeholders.
• Experience in reviewing pull requests and providing constructive feedback to the team.

Qualities we'd love to find in you:

• The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software
• Strong collaboration abilities and a flexible & friendly approach to working with teams
• Strong determination with a constant eye on solutions
• Creative ideas with problem solving mind-set
• Be open to receiving objective criticism and improving upon it
• Eagerness to learn and zeal to grow
• Strong communication skills is a huge plus

Work Location: Hyderabad

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We are looking for Course Resource Developers/ Academic Writers for our Accounting and Finance vocational training division in Australia. For our Australian Registered Training (RTO) registration we require Course Resource Developers/ Academic Writers for the initial and ongoing development of course training resources and training compliance documents.

Successful candidates can work remotely from their home, or own office in their home country, to support our Australian training operations.

Your New Role
As a Course Resource Developer/Academic Writer you will be responsible for developing resources and compliance documents and adapting them for specific target student cohorts.

You will utilise your training background to:

• Assist with developing training compliance documents for RTO registration using the templates provided by Senior Consultants
• Develop Accounting and Finance assessments and PowerPoints using the texts provided
• Upload content to the online platform and ensuring information is interactive and comprehensible

What You'll Need To Succeed

• Minimum bachelor or higher level qualification in Accounting and Finance
• Previous experience in course development and writing
• Knowledge and confidence with editing of online training portals
• Previous experience working within a training organisation
• Ability to work with trainers to create appropriate scenarios
• Ability to work from home using online platforms such as Zoom and Skype

What You'll Get In Return:

• Your contract annual payment will range from AUD $12,000-  AUD $16,000
• Payment will be determined based on your experience and productive outcomes

How You Will Work

• From your home or own office in your home country
• Closely with your Australian based Compliance Manager via Zoom
• Using  your own computer and software for work
• Training compliance templates, textbooks, eBooks, online course portal and other required base resources will be provided   

Who We Looking For

• Those with excellent academic writing skills in English
• University lecturers working in Accounting and Finance disciplines (current or retired)
• Excellent writing skills when using sample documents and templates
• Those who hold a bachelor degree, or above, qualification in Accounting and Finance

How We Will Select

• We will review your resume for selection for a short interview via Zoom
• You will be given a familiar topic to complete an academic writing task and monitored via Zoom
• Based on your interview and academic writing skills selection will be decided

Expereince: 3-5 years

Domain: SQL server/SSIS/Cloud technology

Good Knowledge in Creating new tables in database.

Using Triggers, trunket,delete,view,etc