Mainframe Developer (Core Banking) Only women candidates

Job description:

Role: Pega Developer

Experience: 3–6 Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon

Work Mode: Hybrid

Employment Type: Direct Contract with Haparz

Budget: Up to 18 LPA

We are looking for a skilled Pega Developer with hands-on experience in enterprise application development, workflow automation, integrations, and background processing within the Pega Platform. The ideal candidate should have strong technical expertise in Pega case management, APIs, Kafka integrations, SQL, and troubleshooting complex applications in an agile environment.

Key Responsibilities

• Design, develop, and enhance applications using the Pega Platform
• Build scalable workflow automation and case management solutions
• Work on background processing components including Queue Processors, Job Schedulers, and Agents
• Develop and maintain integrations using REST/SOAP APIs and Kafka
• Write and optimize SQL queries and database interactions
• Perform API testing and validation using Postman
• Troubleshoot application issues, debug defects, and improve performance
• Collaborate with business, QA, and technical teams for requirement analysis and delivery
• Participate in code reviews, deployment activities, and production support
• Follow best practices for coding, security, and application performance

Required Skills

• Strong hands-on experience in Pega Development
• Expertise in Pega Case Management & Integrations
• Experience with Queue Processors, Job Schedulers, and background processing
• Knowledge of Kafka and event-driven integrations
• Strong SQL and database skills
• Experience with REST/SOAP APIs and Postman
• Understanding of Agile/Scrum methodology
• Good communication and stakeholder management skills

Preferred Skills

• Pega Certifications – CSA / CSSA / LSA
• Exposure to CI/CD pipelines and Git
• Knowledge of cloud environments and microservices architecture

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

Backend Engineer III – Senior Python Developer (LLM & AI)

Location: Gurgaon, India

Positions: 1

Experience: 6 to 9 Years

Gurgaon Hybrid

About the Role

We are seeking an experienced Backend Engineer III / Senior Python Developer to join our AI engineering team and play a critical role in building scalable, secure, and high-performance backend platforms for LLM and AI-driven applications. You will work as a hands-on individual contributor while collaborating closely with Machine Learning Engineers, Data Scientists, Product Managers, and Cloud/DevOps teams to deliver innovative, production-grade AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and services using Python to support LLM and AI-based applications
• Build and maintain RESTful APIs and microservices that serve machine learning models and AI components
• Write clean, modular, efficient, and testable code following industry best practices and coding standards
• Participate actively in code reviews, ensuring high quality, security, and maintainability of the codebase
• Debug, profile, and optimize applications to improve performance, reliability, and scalability
• Identify and resolve performance bottlenecks in AI/ML pipelines and backend services
• Collaborate with ML engineers, data scientists, and product teams to translate business and technical requirements into robust backend solutions
• Mentor and support junior developers, promoting a culture of technical excellence and continuous learning
• Design and implement CI/CD pipelines and automate deployment workflows to ensure consistent and reliable releases
• Stay up to date with emerging trends in Python, cloud-native development, and LLM/AI engineering practices and apply them to improve systems and processes

Required Skills & Experience

• 6 to 9 years of strong hands-on experience in Python development
• Solid understanding of Python software design, architecture patterns, and testing best practices
• Proven experience working on AI, Machine Learning, or LLM-based projects
• Strong experience in building and consuming RESTful APIs and microservices architectures
• Hands-on experience with FastAPI, Flask, or similar model-serving frameworks
• Strong debugging, performance profiling, and optimization skills
• Experience with CI/CD tools and workflows (e.g., GitHub Actions, Azure DevOps, Jenkins, etc.)
• Working knowledge of Docker and Kubernetes is a strong plus
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently in a fast-paced, evolving AI/ML environment while mentoring junior team members

Education & Certifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
• AWS or other relevant cloud certifications are preferred but not mandatory

Why Join Us?

• Work on cutting-edge AI and LLM platforms
• Collaborate with top-tier engineering and data science teams
• Opportunity to influence system architecture and technical direction
• Competitive compensation and career growth opportunities

Key Responsibilities:

Sales and Business Development:

• Lead the branch team to achieve sales targets for Loan Against Property (LAP) products, ensuring overall growth in the branch's portfolio.
• Develop and implement strategies to acquire new clients, cross-sell products, and maintain long-term relationships with customers.
• Monitor market trends and competitor activities to identify opportunities and stay ahead of market demands.
• Promote the LAP product offerings through various channels, including partnerships, referral networks, and local events.

Team Leadership and Management:

• Manage, mentor, and guide the sales and operational teams to achieve individual and branch-wide sales goals.
• Conduct regular performance reviews and provide coaching and training to enhance the sales team’s skills.
• Ensure adherence to organizational standards and processes in customer acquisition and relationship management.

Customer Relationship Management:

• Establish and maintain strong relationships with key clients, stakeholders, and other business partners.
• Provide high-level support for the LAP product offering, including assisting clients with queries and guiding them through the loan process.
• Resolve customer issues or concerns related to LAP applications and ensure timely and efficient processing.

Operational Management:

• Oversee the day-to-day operations of the branch, including loan origination, documentation, disbursement, collections, and compliance.
• Ensure the branch maintains a smooth, efficient, and compliant operation in line with internal policies and external regulations.
• Monitor and maintain branch financials, including revenue, expenses, and profitability.

Reporting and Compliance:

• Provide regular reports to senior management on branch performance, including sales achievements, operational issues, and market trends.
• Ensure all processes comply with regulatory guidelines, including KYC (Know Your Customer) and AML (Anti-Money Laundering) policies.

Key Responsibilities:

• Salesforce Administration:

o Manage user setup, roles, profiles, security settings, and permissions.

o Configure and maintain custom objects, record types, fields, page layouts, workflows, process builders, and validation rules.

o Perform regular data management tasks including data import, export, deduplication, and cleaning.

o Ensure platform stability and performance with regular system maintenance.

• Salesforce Development:

o Design and implement custom solutions using Apex, Visualforce, Lightning Components (LWC and AURA), and SOQL

o Develop and integrate APIs to connect Salesforce with other systems.

o Automate processes with Flow Builder, Process Builder, and custom code.

o Optimize Salesforce instance through custom development for better performance and scalability.

• System Enhancements:

o Identify opportunities for automation, efficiency, and improved data quality.

o Implement third-party apps from AppExchange as required.

o Stay up-to-date with Salesforce releases and ensure smooth implementation of new features.

We are seeking a talented specialist to help design and implement a cutting-edge automation and tracking ecosystem using GoHighlevel software, integrated with the powerful PhoneBurner power dialer. This short-term project comes with the potential for future opportunities and offers flexible working hours, making it perfect for a dynamic and skilled individual looking to make a significant impact.

Project Overview:

Part 1 - Design Phase:

• Grasp our vision for the ultimate automation ecosystem.
• Craft a comprehensive plan to maximize GoHighlevel's capabilities.
• Seamlessly integrate PhoneBurner power dialer using meaningful webhooks.
• Provide expert insights on GoHighlevel’s limitations and capabilities.
• Share best practices for automating follow-ups, appointment scheduling, and lead/task assignments.
• Outline key metrics and effective monitoring strategies.

Part 2 - Implementation Phase:

• Bring the approved design plan to life.
• Set up and configure GoHighlevel and PhoneBurner integration.
• Implement automation workflows and reminders for agents.
• Ensure smooth lead and task assignments to team members.
• Configure robust tracking and reporting of key metrics.
• Deliver comprehensive training and documentation for ongoing management.

Requirements:

• GoHighlevel software certification.
• Experience with PhoneBurner or similar power dialers.
• Strong understanding of automation and CRM integration.
• Ability to design and implement complex workflows.
• Excellent communication skills to explain GoHighlevel’s capabilities and limitations.
• Experience in setting up webhooks for integrations.

Complete this form to apply:

https://docs.google.com/forms/d/e/1FAIpQLSdOYq1xLowhrkqBaXaDEb2y8Cb5r4m2uZd76ky94uXJXG9xHA/viewform

Desirable Requirements:

1. Ability to handle a variety of position types/business groups/geographies effectively and independently
2. Ability to lead large teams and work directly with the teams on their day-to-day conversions
3. Should be able to drive and lead large customers independently thus increasing client wallet share
4. Plan, Strategize & build avenues/strategies for improvisation & scale numbers month on month
5. Requirement analysis, sourcing, interviewing, selling, salary negotiations, offering and post-offer follow-ups
6. Should have developed, driven, and executed comprehensive search strategies to recruit senior and niche Candidates in a limited Talent Pool
7. Utilized cost-effective tools to reduce average spend per hire and decrease cycle times
8. Should be able to work on capability building of the team and retaining the best talent

What you need to have: