ai engineer

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 Principal Software Engineer
 
 
 
 
 
 
 
 What We Believe In
 
 
 
 Join us at ABB as we work together with a global team to transform society and industry, promoting a more productive and sustainable future.
 
 
 Our mission at ABB is to promote diversity and inclusion on every front, encompassing gender, sexual orientation, abilities, ethnicity, and generational perspectives. Together, we are embarking on a journey where each one of us, individually and collectively, welcomes and celebrates individual differences.
 
 
 ABB is a prominent global technology firm that facilitates the evolution of society and industry towards a more efficient, sustainable future. ABB has a rich history that spans over 130 years, contributing significantly through the four Industrial Revolutions and continues to shape the path of industry 4.0. By incorporating digital innovations within its electrification, robotics, automation, and motion offerings, ABB transforms technology to enhance performance capabilities significantly.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 This is a technical Leadership role in Cloud and AI platform, reporting to the Digital Solution Engineering Manager in ABB Ability&trade; Genix - industrial analytics and artificial intelligence Platform in business area Process Automation located in Bangalore. You will be leading the Product delivery team including Platform Services at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.
 
 
 We are looking for a highly proficient Software Engineer to become part of our team, working on the development and improvement of ABB Ability&trade; Genix, particularly in areas like deployment automation, packaging, and essential technical skills. As a Software Engineer, you'll have the chance to connect with an accomplished team of engineers to advance technology initiatives, improve Agile Delivery, and bolster overall team effectiveness.
 
 
 Are you interested in a workplace that combines the aspects of technology, data, domain, and Industrial AI to build innovative analytics solutions for process automation customers? If you prioritize creativity and effective solutions, this could be the right team for you. Become part of ABB and take advantage of our varied global network as you collaborate with and guide our esteemed teams. Most importantly, push yourself each day to reach new heights. Let&rsquo;s write the future together.
 
 
 The work model for the role is: Hybrid
 
 
 
 You will be mainly accountable for:
 
 
 
 <ul>
 <li>
 Build LLM/agent workflows using LangChain, LangGraph, or similar frameworks; develop and refine prompts, conversational flows, and integrations for IIoT use cases; enhance model understanding of industry terminology and real-time data; collaborate with engineering teams and create supporting documentation.
 </li>
 <li>
 Oversee the creation of features associated with LLM frameworks and agent-based workflows; maintain effective communication with interdisciplinary teams; share regular updates on project progress; encourage a culture of collaboration; eliminate technical obstacles; and liaise with external partners.
 </li>
 <li>
 Promote continuous improvement within the team; identify opportunities to optimize Scrum processes; and provide coaching or training on Scrum practices.
 </li>
 <li>
 Align product, engineering, and stakeholder efforts to ensure cohesive delivery, smooth collaboration, and consistent execution across IIoT and AI-driven initiatives.
 
 
 </li>
 </ul>
 
 Qualifications for the role:
 
 
 
 <ul>
 <li>
 Hold a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field, with 3+ years of experience in NLP, machine learning, and chatbot development.
 </li>
 <li>
 Exhibit advanced knowledge of Python, particularly in application development with Flask or FastAPI, and showcase experience in rolling out production-ready systems on Kubernetes.
 </li>
 <li>
 Possess familiarity with IIoT concepts, protocols, and systems, along with the ability to design and implement scalable, secure web and REST API applications.
 </li>
 <li>
 Demonstrate proficiency in machine learning frameworks and programming languages, such as Python, TensorFlow, and PyTorch, along with experience in microservices architecture and asynchronous design methods.
 </li>
 <li>
 Possess practical knowledge of Azure cloud services, such as App Service, Cosmos DB, AKS, Cognitive Datalake, and Azure SQL Server.
 </li>
 <li>
 Be skilled in working with CI/CD pipelines for automated build, test, and deployment processes, ensuring scalable and maintainable software delivery.
 </li>
 <li>
 Exhibit effective communication, documentation, mentoring, and collaboration skills to assist in team development and knowledge exchange.
 
 
 
 </li>
 </ul>
 
 More About Us
 
 
 ABB&rsquo;s Digital business area enables customers to operate some of the world&rsquo;s largest and most complex industrial infrastructures, helping them outrun &ndash; leaner and cleaner.
 
 
 Become a part of our innovative team and advance your career by playing a role in creating impactful Industrial AI and Cloud applications and services that prioritize care.
 
 
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

Software Engineer

Myntra

<div>
 
 About The Company
 
 
 
 
 Who are we?
 
 
 
 Myntra is India&rsquo;s leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we&rsquo;ve always believed in disrupting the ordinary.
 
 
 We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We&rsquo;re bold in our thinking, agile in our execution, and collaborative in spirit.
 
 
 Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
 
 
 We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
 
 
 From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
 
 
 Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
 
 
 
 About Team
 
 
 
 The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency.
 
 
 We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques&mdash;such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling&mdash;but also contribute to the research community with multiple peer-reviewed publications.
 
 
 Roles and Responsibilities
 
 
 Design, Develop, and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains, including Recommender Systems, Search, Computer Vision, Supply Chain Management (SCM), Pricing, Forecasting, Trend and Virality Prediction, Generative AI, and more.
 
 
 Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas, such as Natural Language Processing (NLP), Computer Vision, Recommender Systems, and Optimization.
 
 
 Software Development: Develop robust, scalable, and maintainable software solutions for seamless model deployment.
 
 
 CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing, deployment, and model integration.
 
 
 Model Maintenance: Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training.
 
 
 Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems.
 
 
 Data Management: Partner with the Data Platforms team to gather, process, and analyze data crucial for model development.
 
 
 Code Quality: Write clean, efficient, and maintainable code following best practices.
 
 
 Performance Optimization: Conduct performance testing, troubleshooting, and tuning to ensure optimal model performance.
 
 
 Continuous Learning: Stay up-to-date with the latest advancements in machine learning and technology, sharing insights and knowledge across the organization.
 
 
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Industry Experience: 5+ years with a Bachelor's degree, or 3+ years with a Master&rsquo;s/Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 Machine Learning Expertise: At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role.
 </li>
 <li>
 Production Deployment: Proven experience deploying machine learning solutions into production environments.
 </li>
 <li>
 Programming Skills: Strong proficiency in Python or equivalent programming languages for model development.
 </li>
 <li>
 ML Frameworks: Familiarity with leading machine learning frameworks (Keras, TensorFlow, PyTorch) and libraries (scikit-learn).
 </li>
 <li>
 CI/CD Tools: Experience with CI/CD tools and practices.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills.
 </li>
 <li>
 Teamwork &amp; Independence: Ability to work collaboratively in a team environment or independently as needed.
 </li>
 <li>
 Workload Management: Strong organizational skills to manage and prioritize tasks, supporting your manager effectively.
 
 
 </li>
 </ul>
 Exceptional candidates are encouraged to apply, even if you don't meet every listed qualification. We're open to hiring individuals who demonstrate outstanding potential.
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences.
 </li>
 <li>
 Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks.
 </li>
 <li>
 Cloud Services: Proficiency in cloud platforms (AWS, Google Cloud) and an understanding of distributed systems.
 </li>
 <li>
 Generative AI Exposure: Familiarity with Generative AI models.
 </li>
 <li>
 Database Management: Experience with SQL and/or NoSQL databases.
 </li>
 <li>
 ML Orchestration: Knowledge of ML orchestration tools (Airflow, Kubeflow, MLFlow).
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 python, machine learning, recommendation system, forecasting, deployment, time series
 
 
 
 Required Education
 
 
 
 B.Tech
</div>

Senior Data Scientist

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

Amadeus

<div>
 
 Job Title
 
 
 
 Data Scientist 3
 
 
 
 About The Role
 
 
 
 You will join a multidisciplinary team of software engineers, data engineers, data scientists, product specialists, and designers working on next-generation
 
 AI-powered solutions
 
 for airport and airline operations. As part of the Data Spark
 
 Agile Release Train
 
 , you will collaborate closely with colleagues in Nice and London.
 
 
 Your key responsibility will be to
 
 design, automate, and optimize machine learning workflows
 
 that power:
 
 
 <ul>
 <li>
 Real-time analytics and inferencing
 </li>
 <li>
 Predictive modeling
 </li>
 <li>
 ML foundations for generative AI capabilities
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design, implementation, and maintenance of scalable, cloud-native ML pipelines (primarily on Microsoft Azure within a multi-cloud strategy) for batch and streaming workloads.
 </li>
 <li>
 Automate the end-to-end lifecycle of ML models: data preparation, experimentation, tuning, deployment, monitoring, and continuous improvement with a focus on reproducibility and governance.
 </li>
 <li>
 Collaborate with software engineers to ensure robust integration of ML models into production systems, including API contracts, SLAs, fallbacks, and graceful degradation strategies.
 
 
 </li>
 </ul>
 
 About The Ideal Candidate
 
 
 
 <ul>
 <li>
 Proven experience building and maintaining production-grade ML pipelines in cloud environments across real-world projects.
 </li>
 <li>
 Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and solid understanding of model development patterns (supervised learning, time-series forecasting, model evaluation).
 </li>
 <li>
 Practical MLOps expertise with tools like Azure Machine Learning, MLflow, or similar platforms for experiment tracking, pipeline orchestration, and model deployment.
 </li>
 <li>
 Strong command of Python for production-grade deliveries, including testing, code reviews, documentation, packaging, and version control.
 </li>
 <li>
 Experience working in Agile teams (Scrum, SAFe).
 
 
 </li>
 </ul>
 
 
 
 Diversity &amp; Inclusion
 
 
 
 
 
 Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
 
 
 Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
</div>

Data Scientist 3

ValGenesis

<div>
 
 About ValGenesis
 
 
 ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
 
 
 Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.valgenesis.com/about
 
 
 About the Role:
 
 
 
 🚀 We're Hiring Engineers Across All Levels! 🚀
 
 
 Are you ready to build the future with us? At
 
 ValGenesis
 
 , we're scaling rapidly and expanding our engineering teams across multiple functions. Whether you're a seasoned expert or an emerging talent, we have exciting opportunities for you to grow, innovate, and make an impact.
 
 
 
 Location:
 
 
 Our Offices are in the following locations:
 
 
 Chennai: Taramani, Chennai
 
 
 Bengaluru: Bengaluru, Karnataka
 
 
 Hyderabad: Ranga Reddy, Telangana
 
 
 🔧 What We&rsquo;re Hiring For 🔧:
 
 
 We&rsquo;re looking for engineers with
 
 2 to 12 years of experience
 
 across a variety of disciplines, including but not limited to:
 
 
 
 Software Engineering
 
 (Frontend, Backend, Full Stack)
 
 
 
 DevOps &amp; Infrastructure
 
 
 
 Data Engineering &amp; Analytics
 
 
 
 Machine Learning &amp; AI
 
 
 
 Quality Assurance &amp; Automation
 
 
 
 Embedded Systems &amp; Hardware
 
 
 
 Product &amp; Platform Engineering
 
 
 🌟 What You&rsquo;ll Do 🌟:
 
 
 Collaborate with cross-functional teams to design, build, and scale cutting-edge solutions.
 
 
 Solve complex technical challenges with creativity and efficiency.
 
 
 Contribute to a culture of innovation, ownership, and continuous improvement.
 
 
 🎯 What We&rsquo;re Looking For🎯 :
 
 
 Proven experience in engineering roles (2&ndash;12 years).
 
 
 Strong problem-solving skills and a passion for technology.
 
 
 Ability to work in a fast-paced, collaborative environment.
 
 
 Experience with modern tools, frameworks, and methodologies relevant to your domain.
 
 
 
 Ready to take the next step?
 
 
 Apply now. Let&rsquo;s build something amazing together.
 
 
 
 We&rsquo;re on a Mission
 
 
 In 2005, we disrupted the life sciences industry by introducing the world&rsquo;s first digital validation lifecycle management system. ValGenesis VLMS&reg; revolutionized compliance-based corporate validation activities and has remained the industry standard.
 
 
 Today, we continue to push the boundaries of innovation &horbar; enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
 
 
 
 The Team You&rsquo;ll Join
 
 
 Our customers&rsquo; success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity&rsquo;s quality of life, and we honor that mission.
 
 
 We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
 
 
 We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
 
 
 We&rsquo;re in it to win it. We&rsquo;re on a path to becoming the number one intelligent validation platform in the market, and we won&rsquo;t settle for anything less than being a market leader.
 
 
 
 How We Work
 
 
 Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
 
 
 ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Calling all Software Engineers!

Oracle

<div>
 
 Job Description
 
 
 
 Oracle Health Applications &amp; Infrastructure (OHAI) is transforming healthcare by leveraging AI and advanced technologies to deliver automated, patient-centric solutions globally. The Provider Reimbursement Team is central to this transformation, building scalable services to automate revenue cycle management workflows.
 
 
 We are seeking an experienced Member of Technical Staff (IC2) to join our growing engineering team. This position will play a key role in designing and developing high-quality software solutions utilizing AI/ML that drive business success and meet customer needs. The Provider Reimbursement team provides essential revenue cycle management capabilities, such as charge capture, contract management and claims generation.
 
 
 As a Member of Technical Staff, you will collaborate with cross-functional teams to design, build, and maintain high-performance systems for both new and existing products. You will architect complex systems, ensure smooth integration across technologies, and provide technical leadership to both junior engineers. A
 
 
 
 Responsibilities
 
 
 
 You'll work in an agile environment to contribute hands-on coding expertise, influence technical decisions, mentor engineers, and drive improvements in our engineering processes. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable models that drive business value, while leading initiatives to improves reference data management across EHR.
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS in Computer Science or related field, or equivalent experience
 </li>
 <li>
 3+ years in software development, with 1+ years in machine learning engineering
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with product lifecycle and delivering products from scratch
 </li>
 <li>
 Experience analyzing data, generating insights, and telling stories with data
 </li>
 <li>
 Systematic problem-solving, strong communication, ownership, and drive
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC2
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Software Developer 2 (Kolkata)

Saviynt

<div>
 
 We are seeking a talented and experienced Performance Engineer to lead the design and implementation of high performance solutions across our systems, applications, and infrastructure. As a Performance Engineer, you will be
 
 
 responsible for developing performance strategies, designing scalable architectures, and ensuring optimal performance across all platforms along with leveraging AI platforms. You will collaborate with cross-functional.
 
 
 
 
 
 The candidate must have extensive experience in performance engineering, with a strong background in Performance Engineering for both backend systems and distributed environments along with hands on using AI to develop solutions and
 
 
 tools. You will lead the creation of performance test strategies, identify bottlenecks, and provide architectural solutions to meet performance objectives. The role requires a deep understanding of performance testing,
 
 
 
 
 
 
 WHAT YOU WILL BE DOING
 
 <ul>
 <li>
 Architect and Design performance-optimized solutions for complex systems, ensuring scalability, reliability, and cost-effectiveness
 </li>
 <li>
 Define and implement performance strategies across the organization, including testing, tuning, and monitoring plans
 </li>
 <li>
 Analyze system performance from end to end, identifying performance bottlenecks and providing architectural recommendations for optimization
 </li>
 <li>
 Lead performance engineering efforts, ensuring robust and scalable designs through every phase of the development lifecycle
 </li>
 <li>
 Leverage AI platforms to enhance and solution for performance activites
 </li>
 <li>
 Collaborate with development, operations, and business teams to ensure performance standards are met throughout the infrastructure
 </li>
 <li>
 Ensure the effective use of performance testing tools and monitoring solutions, including designing load models,test cases, and reporting frameworks
 </li>
 <li>
 Perform architectural reviews of systems with a focus on identifying and eliminating performance bottlenecks
 </li>
 <li>
 Guide the team in capacity planning and scalability strategies for current and future growth
 </li>
 <li>
 Oversee the execution of benchmarking, load testing, stress testing, and endurance testing to validate performance targets
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 <ul>
 <li>
 Performance Testing Tools: Expertise in JMeter and performance testing frameworks (e.g., Gatling,LoadRunner)
 </li>
 <li>
 Programming/Scripting: Proficient in Java, JavaScript, and shell/bash for performance automation
 </li>
 <li>
 Monitoring &amp; Profiling: Experience with Heap Dumps, GC Logs, and tools like Datadog, AppDynamics,Dynatrace, Grafana
 </li>
 <li>
 Cloud: Familiar with AWS, GCP, or Azure for cloud performance optimizations
 </li>
 <li>
 Containers &amp; Orchestration: Knowledge of Docker and Kubernetes for containerized environments
 </li>
 <li>
 CI/CD Automation: Experience with GitLab, GitHub, Jenkins for integrating performance tests in CI/CD pipelines
 </li>
 <li>
 AI : Any AI tools and relevant prompt engineering to leverage it for solutions and tools
 
 </li>
 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Engineering, or related fields
 </li>
 <li>
 12+ years of experience in performance engineering, with at least 4 to 6 years in a Performance Engineer or similar role
 </li>
 <li>
 
 Architectural Expertise:
 
 Deep understanding of distributed systems, microservices architecture, and cloud-native environments (AWS, GCP, Azure)
 </li>
 <li>
 
 Performance Engineering Tools
 
 : Expertise in performance tools such as JMeter, LoadRunner, Gatling, Dynatrace, AppDynamics, Datadog, Grafana, Prometheus, and custom-built tools for real-time monitoring and testing
 </li>
 <li>
 
 Programming and Scripting:
 
 Proficiency in Java, JavaScript, Python, or other programming languages to implement performance optimizations and automate testing and monitoring workflows
 </li>
 <li>
 
 AI Tools :
 
 Experience in AI to develop solutions and tools to complement the performance activities
 </li>
 <li>
 
 Cloud and Containerization:
 
 Experience with cloud platforms (AWS, GCP, Azure) and containerization/orchestration technologies like Docker and Kubernetes. Expertise in cloud-native architectures and edge service optimizations
 </li>
 <li>
 
 Deep Analytical Skills:
 
 Ability to analyze system performance metrics (e.g., CPU usage, memory, network I/O,disk I/O, garbage collection) and provide architectural solutions to improve performance
 </li>
 <li>
 
 Capacity Planning:
 
 Experience with capacity management and planning to ensure that systems can scale under increasing user demand without degrading performance
 </li>
 <li>
 
 Collaboration and Leadership:
 
 Strong collaboration skills to work with developers, product managers, DevOps, and business teams. Ability to lead performance discussions and architectural improvements
 
 </li>
 </ul>
 
 
 
 
</div>

Associate Principal Engineer, Quality Engineering (Performance Engineer)

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