Python Developer in Bengaluru

JOB TITLE SOFTWARE ENGINEER, TECHNOLOGY A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and carries a high degree of ownership over the modernization roadmap. Specifically, you will: Build software applications and deliver software enhancements and projects supporting finance and investor processing. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Driving architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Con

A Career with point72’s technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What you’ll do As a software engineer on our Risk Technology team, you will use your programming expertise to build a scalable reporting framework capable of processing terabytes of data for complex risk calculations within Point72 Risk Department. Build analytical framework to enable flexible large-scale compute on big datasets Develop quantitative understanding of risk to anticipate the requirements of our team Innovate and improve our capabilities to deliver high quality products to our business partners Solve complex and challenging problems through the application of creative and unique solutions using the latest technology What’s REQUIRED Minimum of 5 years’ programming experience in Python and/or one of functional languages Bachelor's in computer science, math, physics or related technical field Programming experience in a quantitative environment with statistic models or complex aggregations Awesome team player with excellent written and verbal communication skills with peers and clients Problem solving skills with deep understanding of core computer science algorithms and data structures Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Health care benefits Maternity, Adoption & related leave policies Generous paternity and family care leave policies Employee Assistance

JOB TITLE SOFTWARE ENGINEER, TECHNOLOGY A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and contributes to the modernization roadmap. Specifically, you will: Build software applications and deliver software enhancements and projects supporting finance and investor processing. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using th

JOB TITLE Senior Storage Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO The Senior Storage Engineer will be responsible for monitoring, implementation, and management of the organization's File/Block storage infrastructure. This role requires to cover one of the 2 possible shifts in India as well as a deep understanding of File/Block storage technologies and cloud-based solutions, with a focus on ensuring data availability, scalability, and security. The ideal candidate will have extensive experience in storage engineering and a proven ability to manage complex storage environments. • Provide advanced troubleshooting and support for complex storage issues, minimizing downtime and ensuring seamless operations. • Oversee and optimize File/Block storage systems, ensuring high availability and performance. • Conduct capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. • Monitor storage performance and work with US resource to find recommendations for improvements to enhance efficiency and reduce costs. • Implement integration and automation solutions and provide feedback for solution to US Team to streamline operations and improve storage management. • Implement robust security measures to protect data integrity and ensure compliance with industry regulations and standards. • Maintain comprehensive documentation of storage configurations and processes and provide training and guidance to junior team members. WHAT’S

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As Database Support Engineer, you’ll support various critical database platforms across Development, QA, UAT, and Production environments. The role partners closely with application teams, application support, and database engineers and operates within a Follow‑the‑Sun model to ensure availability, performance, and reliability of database services. Key responsibilities include: • Provide operational support for enterprise database platforms in both on-prem private cloud and public cloud • Monitor database health, capacity, performance, and availability, and respond to alerts, diagnose issues, and perform timely remediation • Perform routine maintenance activities (patching, upgrades, housekeeping etc) • Troubleshoot database‑related incidents and collaborate on root cause analysis • Work closely with application owners, application support teams, and DB Engineers • Provide guidance on database best practices and operational standards • Participate in cross‑team problem resolution and continuous improvement initiatives • Contribute to design, implementation and testing of automation and self service capabilities of DB platforms • Drive continuous improvement, identifying opportunities to reduce toil and increase platform efficiency. • Participate in a Follow‑the‑Sun operating model, including shift‑based coverage and handoffs WHAT’S REQUIRED • Bachelor’s degr

JOB TITLE IT Operations Engineer, Application Support A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO • Provide technical support for software applications and investigate, diagnose, and resolve application issues • Automate start-of-day and end-of-day checks for key applications. • Log and track incidents across applications in the production environment. • Implement monitoring and automation initiatives and develop custom solutions using Python, Shell, and/or Powershell scripts. • Create tactical support tools and scripts to improve the incident investigation process and enable • transparency into potential business impacts. • Prioritize and categorize incidents based on severity and impact. • Collaborate with the development team to improve applications based on user feedback. • Create and maintain documentation for responding to common errors and application incidents. • Assist with software applications deployment and configuration . • Provide training and assistance to users to ensure effective use of applications and systems. • Develop knowledge base resources to empower users to independently resolve common problems. WHAT’S REQUIRED • Bachelor's degree in computer science, information technology, or a related field. • Experience supporting middle- and back-office applications created in .Net, Java, C# etc. Ability to debug apps using of code, logs, alerts etc. • Literacy in complex SQL procedures/queries. • Ability to diagnose and troubleshoot technical issues.

Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

Staff Embedded SW/FW Engineer (Bringup) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Respons

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Work Experience Required: 8 - 12 Years Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are looking for a high-impact Senior Software Engineer in Test (Sr. SET) to join our QA Core Team. In this role, you will partner closely with Infrastructure, Release Engineering, and Development teams to drive high availability, build scalable test automation, and optimize CI/CD release pipelines. You will take ownership of release-based testing, system observability, and automation services to ensure that weekly software releases are delivered seamlessly and with high quality across mission-critical systems. Key ResponsibilitiesTest Automation & System Quality Design, implement, and maintain scalable test automation frameworks for both server- and client-side systems using Java, TestNG, JUnit, and Selenium. Develop and execute comprehensive end-to-end and system test plans to validate new software changes against existing customer deployment patterns. Set up and manage automated test configurations, lab environments, and containerized test setups using Docker. Perform release-based validation, ensuring full compatibility, high availability, and uptime across weekly deployment cycles. CI/CD Pipeline Maintenance & Optimization Troubleshoot, debug, and optimize CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, Buildkite) to reduce test execution times and eliminate flaky builds. Manage and optimize Maven-based build structures, dependency management, and automated release workflows. Write operational automation scripts using Python, Bash, or Gro

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. With data and analytics at the center of our people strategy, we are seeking a People Analytics Consultant to join our People Analytics team. In this role, you will support the delivery of workforce insights across the employee lifecycle by analyzing people data, developing dashboards, and identifying trends that help inform business decisions. You will partner with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver accurate, timely, and actionable analytics. This role is ideal for an analytical professional who enjoys working with data, solving business problems, and applying modern analytics techniques to improve workforce outcomes. Essential Duties and Responsibilities People Analytics & Reporting Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition. Develop and maintain dashboards, scorecards, and recurring reports that provide meaningful workforce insights. Respond to ad hoc analytics requests and translate business questions into data-driven recommendations. Partner with People Business Partners and HR Centers of Excellence to support workforce planning, talent reviews, and organizational health discussions. Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency. Present findings through clear visualizations and concise business summaries. Workforce Analytics Perform st

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di