11+ IBM RPG Jobs in India

The OYO Story

• Expert in AS400 development
• Expert programming in all forms of RPG (rpgle, free format, SQL etc.)
• Knowledge of Web services, job-queues
• Troubleshooting, debugging and resolving existing problems
• Analyze, create, develop and maintain RPG applications. New development must be modular with microservices in mind.

What will you get

 Chance to play a pivotal role in designing and building next gen hospitality tech platform

 Top tier scale from day 1 - related battle scars / glory

 Chance to work with world class talent (Ex Amazon, Apple, Walmart, Swiggy etc)

ROLES AND RESPONSIBILITIES:

As a Frontend Product Engineer , you will be an integral part of our mobile team, helping design and develop cross-platform mobile applications. You’ll gain hands-on experience in React Native development, work closely with Director Engineering, and contribute to building enterprise-grade applications that drive real-world impact.

WHAT YOU'LL DO?

• Contribute to the development of mobile applications using React Native (iOS & Android).
• Collaborate with senior developers and designers to implement features and enhancements.
• Write clean, maintainable, and efficient code following best practices.
• Assist in debugging, testing, and performance optimization.
• Stay curious and continuously learn about new mobile development trends and technologies.

IDEAL CANDIDATE:

• 1+ years of hands-on experience with JavaScript, TypeScript, and React Native.
• Good understanding of iOS or Android development.
• Demonstrable projects or apps (professional or personal) showcasing React Native skills.
• Eagerness to learn, adapt, and grow in a fast-paced environment.
• Strong communication and collaboration skills.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Key Responsibilities :

- Design, develop, and maintain applications using Java and Kotlin

- Write clean, scalable, and efficient code

- Build and consume RESTful APIs and microservices

- Participate in all phases of the software development lifecycle

- Work with databases like MySQL, PostgreSQL, or MongoDB

- Collaborate with cross-functional teams including Product, QA, and DevOps

- Conduct unit testing and assist in code reviews

- Troubleshoot and debug applications

- Ensure application performance, security, and scalability

Required Skills :

- Strong programming experience in Java (Core/Advanced)

- Experience in Kotlin

- Solid understanding of OOP concepts, design patterns, and data structures

- Experience with frameworks such as Spring Boot, Ktor, or Android SDK

- Proficient in building and consuming RESTful APIs

- Familiarity with Git, JIRA, and CI/CD tools

- Basic knowledge of unit testing frameworks like JUnit or Mockito

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

Job Title: PySpark/Scala Developer

Functional Skills: Experience in Credit Risk/Regulatory risk domain

Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting

Good to Have Skills: Exposure to Machine Learning Techniques

Job Description:

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a)     Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in

 consumer and wholesale banking

b)     Enhance Machine Learning Models using PySpark or Scala

c)     Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d)     Participate Feature Engineering, Training Models, Scoring and retraining

e)     Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

·       Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·       Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·       Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·       Flexibility in approach and thought process

·       Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

1. Developing content marketing strategies for blogs, websites and other platforms and implementing them. 
2. Collaborating with the SEO team and creating optimized content for the blogs and website. 
3. Use Google Trends, Google Search Console,Google Analytics, Google Data Studio and other tools for content creation and marketing. 
4. Drive traffic to company pages through various search engine marketing strategies. 
5. Creating, reviewing and publishing engaging content for blog, website, social media, ad campaigns and other marketing requirements. 
6. Actively promoting our blog and pitching articles to relevant platforms (guest blogging) to increase website traffic. 
7. Constantly analyzing the content KPIs and updating the content accordingly. 
8. Develop and manage projects and team members, including delegating tasks, reviewing team member work, adhering closely to deadlines and to budget, developing and revising ideas, and implementing projects.

The ideal candidate must have: 

1. 3+ years of total experience in content writing, content management and  .
2. 2+ years of experience in leading a team.
3. Knowledge of SEO best practices and web traffic metrics. 
4. Knowledge of various content marketing tools, 
5. Great time management skills, organizational skills, and team spirit. 
6. Excellent writing skills in English. 

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.