Content Writer

Role & Responsibilities

Platform Unification-

• Audit technical architecture across all products; identify divergence points and integration friction
• Define common data models, API conventions, event-driven patterns, and database strategies for all verticals
• Create the GinesysOne architecture blueprint — the north-star reference for all engineering decisions
• Drive migration of duplicated capabilities (notifications, integrations, UI components, API gateway) to Shared App Platform
• Establish and track a Unification Score measuring % of common capabilities on shared platform
• Lead the Architecture Guild with Principal Engineers — weekly cross-vertical alignment forums

Delivery & Execution-

• Co-own what and when with the CPO — shape what gets built, when it ships, and trade-off decisions
• Drive bug-free releases through rigorous testing and automation
• Accelerate release velocity and reduce commit-to-production cycle time
• Implement release health metrics: defect escape rate, rollback rate, hotfix frequency, MTTR
• Manage L3 engineering support and ensure root cause elimination

Process Standardization & AI-Native Engineering-

• Standardize coding standards, branching strategy, code review, and testing requirements
• Mandate AI-assisted code generation and reviews
• Implement unified CI/CD pipelines with automated testing and security gates
• Create an engineering handbook as a single source of truth

People & Team Building-

• Hire and develop Engineering Managers
• Build and scale Shared App Platform team
• Develop Principal / Staff Engineer career track
• Unify engineering culture across acquired entities
• Establish clear career ladders for IC and management tracks

Quality & Reliability-

• Own overall product quality and QA processes
• Define quality metrics and enforce release gates
• Ensure cross-product QA sign-off before releases

Cross-Functional Collaboration-

• Co-own roadmap with CPO
• Partner with Infra, Platform, and Security teams
• Enable standardized data pipelines and APIs
• Ensure secure coding and security reviews

Ideal Candidate

• Strong Head of Engineering / Engineering Director / VP Engineering profiles
• Mandatory (Experience 1): Must have minimum 14+ years of overall experience in software engineering roles.
• Mandatory (Experience 2): Must have minimum 5+ years of experience in senior engineering leadership roles (Head of Engineering / VP Engineering / Engineering Director or equivalent).
• Mandatory (Experience 3): Must have experience leading large engineering organizations managing 50+ engineers across multiple teams or product verticals.
• Mandatory (Experience 4): Must have strong experience defining and driving common technical architecture, platform standardization, or engineering unification across multiple products or systems.
• Mandatory (Experience 5): Must have deep expertise in scalable system architecture, SaaS platforms, microservices architecture, and event-driven systems.
• Mandatory (Experience 6): Must have proven experience building or scaling shared platforms/services, including common APIs, integration layers, shared services, or platform ecosystems.
• Mandatory (Experience 7): Must have ownership of engineering delivery and execution, including release management, development lifecycle optimization, automation practices, and establishing standardized engineering processes such as CI/CD, coding standards, testing practices, and engineering governance..
• Mandatory (Experience 8): Must have experience working in SaaS or product-based technology organizations.
• Mandatory (Note): Candidate should be based in Gurugram / NCR or must have a strong reason to relocate.
• Preferred (Experience 1): Experience working in Retail Tech, ERP, POS, OMS, or enterprise SaaS platform environments.
• Preferred (Experience 2): Experience collaborating closely with Product, Infrastructure, Platform, and Security leadership teams to drive engineering roadmap execution.

Perks, Benefits and Work Culture

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual Ginesys walkathon & related sporting events.
• Quarterly Coffee with CEO.

Job Description

Job Title: Java Developer

Experience: 9 to 12 Years

Job Summary:

We are looking for a skilled Java Developer with strong experience in Java, Spring Boot, and Microservices to join our dynamic team in Chennai. The ideal candidate will be responsible for designing, developing, and maintaining high-quality software applications that meet business needs.

Key Responsibilities:

Develop and maintain Java-based applications using Spring Boot framework.

Design and implement microservices architecture for scalable and resilient solutions.

Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.

Write clean, efficient, and well-documented code following best practices.

Participate in code reviews, testing, and troubleshooting to ensure high performance and quality.

Optimize applications for maximum speed and scalability.

Stay updated with emerging technologies and apply them to improve existing systems.

Assist in deployment and monitoring of applications in production environments.

Mandatory Skills:

Strong expertise in Java programming language.

Hands-on experience with Spring Boot framework.

Proficient in designing and implementing Microservices architecture.

Experience with RESTful APIs and web services.

Familiarity with databases (SQL/NoSQL) and ORM tools like Hibernate.

Understanding of CI/CD pipelines and containerization (Docker/Kubernetes) is a plus.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

5 to 11 years of relevant work experience in Java development.

Additional Skills (Optional):

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Knowledge of Agile methodologies and tools like Jira.

Good communication and teamwork skills.

Skills: Java, Spring boot, Implementation, Healthcare

Must-Haves

Java + Spring boot + Microservices

NP: Immediate – 30 Days

Position: Full-Stack Developer – React / C# / Python / SQL

Location: Mumbai / Pune

Experience: 6–8 Years

Employment Type: Full-time

About the Role

We are looking for a versatile Full-Stack Developer who has working experience in React, C# or Python, and SQL. The candidate doesn’t need to be an expert in all these technologies but should be comfortable taking end-to-end ownership of features with the support of modern AI tools.

Key Responsibilities

• Develop, test, and maintain scalable frontend applications using React.
• Build and integrate backend services using C# (.NET) or Python.
• Write and optimize SQL queries, procedures, and data models.
• Work closely with product and design teams to deliver high-quality features.
• Use AI-assisted development tools (like GitHub Copilot / ChatGPT) to speed up coding, debugging, documentation, and solution design.
• Participate in code reviews, troubleshooting, and performance improvements.
• Ensure best practices in code quality, security, and deployment.

Required Skill Set

• Frontend

React.js (Hooks, components, state management, API integration)

• Backend (any one or both)

C# (.NET Core)

Python (FastAPI / Django / Flask)

• Database

SQL (MySQL / PostgreSQL / MSSQL)

Experience writing queries, joins, stored procedures, and handling schemas

Good to Have

• REST API development
• Basic DevOps understanding (CI/CD, version control – Git)
• Familiarity with cloud platforms (AWS/Azure/GCP)
• Ability to learn quickly with AI tools and follow best practices
• Problem-solving and ownership mindset

What We Are Looking For

• Someone who can handle full-stack tasks with confidence
• Not necessary to be an expert in everything
• Curious, adaptable, and open to using AI tools to deliver faster
• Strong communication skills and team collaboration

Advanced SQL, data modeling skills - designing Dimensional Layer, 3NF, denormalized views & semantic layer, Expertise in GCP services

Role & Responsibilities:

● Design and implement robust semantic layers for data systems on Google Cloud Platform (GCP)

● Develop and maintain complex data models, including dimensional models, 3NF structures, and denormalized views

● Write and optimize advanced SQL queries for data extraction, transformation, and analysis

● Utilize GCP services to create scalable and efficient data architectures

● Collaborate with cross-functional teams to translate business requirements(specified in mapping sheets or Legacy

Datastage jobs) into effective data models

● Implement and maintain data warehouses and data lakes on GCP

● Design and optimize ETL/ELT processes for large-scale data integration

● Ensure data quality, consistency, and integrity across all data models and semantic layers

● Develop and maintain documentation for data models, semantic layers, and data flows

● Participate in code reviews and implement best practices for data modeling and database design

● Optimize database performance and query execution on GCP

● Provide technical guidance and mentorship to junior team members

● Stay updated with the latest trends and advancements in data modeling, GCP services, and big data technologies

● Collaborate with data scientists and analysts to enable efficient data access and analysis

● Implement data governance and security measures within the semantic layer and data model

form :https://forms.gle/ncGqEJrJDvEDhXtL7

AI Researcher, Speech & Audio, Intern -

Internship Opportunity at JoshTalks AI Lab

(ai.joshtalks.com)

Location: Gurgaon, India

Type: Full-time Internship (6–12 months)

Who: Final-year engineering students or recent graduates passionate about AI/ML

in speech

About Us

At JoshTalks AI Lab, we believe that voice will be the primary medium of interaction

between man and machine. Our mission is simple yet ambitious:

● Help machines talk like humans.

● Build the benchmarks and datasets that become the backbone of global

progress in speech AI.

● Drive improvements not just through compute or algorithms — but through

high-quality, diverse, real-world data.

Our datasets today power some of the largest and most widely used speech

models in the world (you’ve definitely used them, even if we can’t name them

😉).

What You’ll Work On

This is not a “just another internship.” You’ll be directly contributing to the global

race to perfect speech AI:

1. Benchmarking the world’s speech models

○ Design and run evaluations for ASR and speech-to-speech systems.

○ Create benchmarks that will guide top AI labs on where their models

fail and where they shine.

2. Modeling & Fine-Tuning

○ Fine-tune speech recognition systems (like Whisper/wav2vec2) to push

Word Error Rates toward ~5%.

○ Experiment with multilingual, code-switched, and noisy speech

to mimic real-world conditions.

3. Impact at Scale

○ Your work won’t just sit in a paper. It will influence how the

world’s largest AI models get built, tested, and improved.

Who We’re Looking For

● Final-year undergraduates (B.Tech/B.E.) in CSE, EE, AI/ML, or related fields.

● Strong interest in speech, audio, NLP, or multimodal AI.

● Hands-on experience in one or more of:

○ Fine-tuning speech or language models (Whisper, wav2vec2,

HuBERT, SER, etc.)

○ Building speech-driven projects (assistants, classifiers, chatbots,

SER systems)

○ Working with PyTorch, TensorFlow, or Hugging Face transformers.

● Bonus: past projects on GitHub, Kaggle, or research papers.

Why Join Us

● Ownership: Even as a final-year student, you’ll get the chance to own

problems of global importance — from reducing ASR word error rates toward

5% to building benchmarks that influence how the next generation of

speech-to-speech models are developed. These are not side projects:

the problems you’ll work on may define how billions of people interact

with machines in the future.

● Front-row seat in speech AI: Your work will shape benchmarks and datasets

used by the world’s top model labs.

● Learning: Work with experts solving speech challenges across 20+

Indian languages and noisy, real-world audio.

● Impactful projects: The benchmarks and models you help build will

set direction for global AI progress.

● Startup energy, global scale: Small team, big impact — perfect for ambitious

builders.

● Co-Authorship: If any of the work you contribute to is published as a paper,

benchmark report, or dataset release, you will be credited as a co-author.

This means your contributions won’t just stay inside the lab — they’ll be

visible to the wider research community and part of the academic and

industry record.

Details

● Location: Gurgaon (on-site preferred for collaboration)

● Duration: 6–12 months

● Type: Paid Internship (full-time)

● Start Date: Flexible for final-year students (aligns with academic calendar)

If you’re someone who dreams of making speech AI as natural as human

conversation, this is your chance to work on the real frontier. Super interested?

Made A Way is seeking a Subject Matter Expert (SME) with rich knowledge in their core subjects.

The expert should be able to develop content for the US/UK students.

Subject: Chemical Engineer / Civil Engineer / Electrical Engineering / Mechanical Engineer / Operation Management / Nursing / Physics / Psychology / Finance

Education: M.Tech / B.Tech / BSc / Msc

Type of Job: Full time (Work From Office)

Duration: 8 hr working + 30 min (Break)

Location: A-23, Third floor, Sector-16-near metro station, Noida-201301

ESSENTIAL DUTIES and RESPONSIBILITIES:

·      Subject Matter Expert (SME) with strong knowledge, understanding and expertise in the specified subjects mentioned above.

·      Expert in problem solving (Questions/Exercises) both from text books and other homework  application in a detailed step by step manner for various levels of complexity. Able to work in a fast-paced environment.

·      Provide guidance to other SMEs to improve content accuracy, language (English usage, appropriate English sentence structure) and overall quality of the solution content for use by students.

·      Ability to learn new tasks and concepts quickly. 

·      Excellent communication skills, both verbal and written.

·      Proficient computer skills and use of technology.