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backend software development engineer

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engineering manager, konnect core platform Jobs in Mangaluru

cloud engineer

Giga

<div>
 
 Location:
 
 Bangalore (3 days In-Office)
 
 
 
 Experience:
 
 2-4 years
 
 
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 Engineers at Giga work on problems like:
 
 
 
 <ul>
 <li>
 Building agents with almost no hallucination rates
 </li>
 <li>
 A voice experience that's better than talking to humans
 </li>
 <li>
 Creating self-learning agents that optimize metrics
 
 
 </li>
 </ul>
 
 Who You Are / Must-Haves:
 
 
 
 <ul>
 <li>
 Exceptional Engineer
 </li>
 <ul>
 <li>
 Backend: Strong experience in Python (Django experience is a plus)
 </li>
 <li>
 Cloud: Proficient with AWS or Google Cloud
 </li>
 <li>
 Scalability: Familiarity with Kubernetes and Docker is a plus
 </li>
 </ul>
 <li>
 Entrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valued
 </li>
 <li>
 Seasoned: 2-4 years of hands-on engineering experience
 </li>
 <li>
 Committed: Willing to be present in-office for all work days. No remote.
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive total compensation
 </li>
 <li>
 Full health, dental, and vision coverage
 </li>
 <li>
 On-demand snacks, coffee
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Screening call w/ Recruiting Lead (20 min)
 </li>
 <li>
 Intro call w/ Founding Engineer (15 min)
 </li>
 <li>
 Live coding round w/ Founding Engineer (1 hr)
 </li>
 <li>
 In-office interview (full day)
 
 
 </li>
 </ul>
 Compensation Range: ₹60L - ₹85L
 
 
</div>

Software Engineer II (India - Bangalore)

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm India Private Limited
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Test Engineering
 
 
 
 General Summary
 
 
 
 Site Reliability Engineer - AI Infrastructure
 
 
 
 About The Role
 
 
 
 Site Reliability Engineering (SRE) is a specialized engineering discipline that combines software development and systems engineering to build and maintain large-scale, highly reliable production systems. At Qualcomm, our SRE team plays a critical role in ensuring our AI infrastructure services deliver maximum reliability, performance, and uptime while enabling rapid innovation and deployment of cutting-edge AI solutions.
 
 
 As an SRE in our AI Infrastructure team, you will be at the forefront of deploying and managing cloud-based AI inference systems. You'll work with state-of-the-art hardware accelerators and container orchestration platforms to deliver high-performance, scalable AI services. This role demands a unique blend of strong software engineering skills, particularly in Python, deep systems knowledge, and expertise in modern cloud-native technologies.
 
 
 Our SRE culture emphasizes automation, proactive problem-solving, triaging activities, and continuous improvement. We value intellectual curiosity, collaboration, and a systematic approach to tackling complex distributed systems challenges.
 
 
 You'll work with a diverse team of engineers who bring varied backgrounds and perspectives to solve some of the most interesting problems in AI infrastructure.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Design, implement, and maintain large-scale Kubernetes clusters optimized for AI inference workloads, with focus on performance, reliability, and scalability across cloud environments
 </li>
 <li>
 Deploy and manage containerized AI services using Docker, Kubernetes, and KServe (or similar ML serving platforms), ensuring high availability and optimal resource utilization
 </li>
 <li>
 Write production-quality Python code to build automation tools, frameworks, and infrastructure management solutions that eliminate manual processes and improve operational e iciency
 </li>
 <li>
 Lead triaging e orts for complex production incidents, performing deep-dive analysis to identify root causes and implement permanent fixes
 </li>
 <li>
 Debug sophisticated deployment scenarios at multiple levels - from application layer through container orchestration to Linux OS and hardware interfaces
 </li>
 <li>
 Support the full lifecycle of AI inference services - from design and capacity planning through deployment, operation, optimization, and continuous refinement
 </li>
 <li>
 Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Ansible, or similar technologies to ensure reproducible and version-controlled infrastructure
 </li>
 <li>
 Collaborate with ML engineers, software developers, and infrastructure teams to optimize AI workload deployment and performance
 
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
 </li>
 <li>
 1+ years of experience in Site Reliability Engineering, DevOps, Systems Engineering, or Software Development with focus on production systems
 </li>
 <li>
 Certifications in Kubernetes (CKA, CKAD), cloud platforms (AWS/Azure/GCP), or related technologies will be an added advantage.
 </li>
 <li>
 Strong proficiency in Python programming with demonstrated ability to write clean, maintainable, and e icient code for automation and tooling
 </li>
 <li>
 Deep expertise in Linux/Unix systems administration, including kernel concepts, system calls, networking stack, storage systems, and performance tuning
 </li>
 <li>
 Hands-on experience with Kubernetes in production environments, including cluster management, workload orchestration, networking (CNI), storage (CSI), and troubleshooting
 </li>
 <li>
 Solid understanding of containerization technologies (Docker, containerd) and container orchestration patterns
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, GCP, or private cloud) and cloud-native architectures
 </li>
 <li>
 Proven track record of triaging and resolving complex production issues under pressure, with strong analytical and debugging skills
 </li>
 <li>
 Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, or similar platforms
 </li>
 <li>
 Strong understanding of networking concepts including TCP/IP, DNS, load balancing, and service mesh architectures
 </li>
 <li>
 Excellent problem-solving abilities with systematic approach to root cause analysis
 </li>
 <li>
 Strong communication skills with ability to explain technical concepts to both technical and non-technical audiences
 
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Experience deploying and managing AI/ML inference systems or model serving platforms (KServe, TorchServe, TensorFlow Serving, Triton Inference Server)
 </li>
 <li>
 Knowledge of AI hardware accelerators (GPUs, TPUs, or specialized AI chips) and their integration in cloud environments
 </li>
 <li>
 Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or ONNX
 </li>
 <li>
 Knowledge of security best practices for containerized environments and cloud infrastructure
 </li>
 <li>
 Contributions to open-source projects related to Kubernetes, cloud-native technologies, or SRE tooling
 </li>
 <li>
 Experience with capacity planning and performance optimization for high-throughput systems
 </li>
 <li>
 Background in implementing and maintaining disaster recovery and business continuity solutions
 
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Automation-First Mindset: Passion for eliminating repetitive manual work through intelligent automation
 </li>
 <li>
 Systems Thinking: Ability to understand how complex distributed systems interact and impact each other
 </li>
 <li>
 Ownership and Accountability: Taking end-to-end responsibility for services and their
 
 
 
 </li>
 </ul>
 reliability
 
 
 <ul>
 <li>
 Continuous Learning: Growth mindset with eagerness to learn new technologies and methodologies
 </li>
 <li>
 Collaboration: Ability to work e ectively in global, cross-functional teams
 </li>
 <li>
 Resilience Under Pressure: Maintaining composure and e ectiveness during critical incidents
 </li>
 <li>
 Attention to Detail: Thoroughness in implementation, testing, and documentation
 
 
 
 </li>
 </ul>
 
 What We O Er
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI infrastructure at scale
 </li>
 <li>
 Collaborative environment with world-class engineers
 </li>
 <li>
 Continuous learning and professional development opportunities
 </li>
 <li>
 Exposure to latest technologies in cloud computing, AI/ML, and distributed systems
 </li>
 <li>
 Competitive compensation and benefits package
 </li>
 <li>
 Qualcomm is an equal opportunity employer committed to diversity and inclusion in the workplace.
 
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
 
 
 
 </li>
 </ul>
 
 Applicants
 
 : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Engineer

Cisco

<div>
 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
 
 
 
 Meet The Team
 
 
 
 Cisco Spaces is the intelligence layer that turns buildings into dynamic, data-driven environments. By connecting to Cisco&rsquo;s global network of access points, sensors and cameras, Spaces delivers real-time insights and automation that help organizations run safer, smarter and more sustainable workplaces.
 
 
 Today, Spaces is one of Cisco&rsquo;s fastest-growing platforms with more than twelve billion square feet of real estate digitized worldwide. As Cisco moves deeper into a software-first future, Spaces sits at the center of cloud, IoT, maps, analytics and AI.
 
 
 The platform brings together everything needed for a modern hybrid workplace. It provides live occupancy and utilization insights, indoor maps, bookings, visitor flows, environmental and air-quality data, people and asset visibility, and automated workflows that make operations more efficient. Customers manage entire portfolios of buildings, connect third-party solutions through our partner ecosystem, and use our APIs to build new use cases on top of the platform.
 
 
 Spaces is where large-scale cloud engineering, real-time data, AI and enterprise UX meet. We are a team that ships fast, innovates continuously and builds technology that genuinely changes how buildings function.
 
 
 Visit our website to learn more or watch this fun video (laughs guaranteed 😂)
 
 
 
 Your Impact
 
 
 
 As a Backend Software Engineer on the Cisco Spaces team, you will shape the core systems that power one of Cisco&rsquo;s fastest-growing platforms. You will build the high-scale services that process billions of events, enable real-time building intelligence, and deliver reliable services to customers across the world.
 
 
 <ul>
 <li>
 Design, implement, and deploy backend services that handle massive scale, high concurrency, and global reliability requirements.
 </li>
 <li>
 Build end-to-end systems in Java that prioritize performance, stability, and clean architecture.
 </li>
 <li>
 Develop APIs and microservices that power real-time occupancy, mapping, automation, IoT integrations, and analytics across thousands of enterprise sites.
 </li>
 <li>
 Work closely with frontend, product and platform teams to ensure seamless delivery of features that span cloud, IoT, mapping and AI layers.
 </li>
 <li>
 Optimize data pipelines, storage models, and streaming systems to support live telemetry from millions of connected devices.
 </li>
 <li>
 Introduce new technologies, frameworks, and design patterns that raise the engineering bar across the team.
 </li>
 <li>
 Contribute to platform-wide initiatives such as improving scalability, strengthening security, enhancing observability, and refining deployment and CI/CD practices.
 </li>
 <li>
 Learn and apply emerging AI and automation techniques where they materially improve system intelligence, accuracy, or developer efficiency.
 </li>
 <li>
 Own features from concept to rollout and ensure they meet the quality, reliability, and performance expected from Cisco-grade systems
 
 
 </li>
 </ul>
 
 Minimum Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Engineering or Computer Science.
 </li>
 <li>
 A minimum of two years of hands-on experience building backend systems, web applications, and integrations in production environments.
 </li>
 <li>
 Strong server-side development expertise in Java, with experience in J2EE, Vert.x, or Kotlin-based services.
 </li>
 <li>
 Deep understanding of core Java fundamentals including threading, concurrency, synchronization, collections, generics, annotations, and JVM internals.
 </li>
 <li>
 Familiarity with inter-thread communication patterns, serialization mechanisms, and performance tuning of high-throughput services.
 </li>
 <li>
 Strong grasp of object-oriented programming, data structures, algorithms, and common design patterns.
 </li>
 <li>
 Practical experience building scalable REST APIs, backend services, and microservice architectures.
 </li>
 <li>
 Working knowledge of NoSQL databases and distributed data models.
 </li>
 <li>
 Hands-on experience with Kafka or similar streaming platforms, including message modeling, high-volume consumers, producers, and streaming pipelines.
 </li>
 <li>
 Exposure to building and operating services in large-scale cloud environments such as AWS, and comfort working with cloud-native services.
 </li>
 <li>
 Proficiency with Maven or Gradle, Git, Jenkins, CI/CD pipelines, and related engineering tooling.
 </li>
 <li>
 Familiarity with distributed systems concepts including service discovery, fault tolerance, and event-driven architectures.
 </li>
 <li>
 Ability to work in fast-paced agile teams and drive technical decisions in complex development environments.
 </li>
 <li>
 Comfort using modern AI development tools and assistants to enhance productivity, improve code quality, and accelerate delivery.
 </li>
 <li>
 Ability to rapidly learn new frameworks, libraries, and technologies as required.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing and operating microservices at scale using Java, Vert.x, or Kotlin in high-throughput, low-latency environments.
 </li>
 <li>
 Hands-on experience running workloads on AWS, including EKS, EC2, S3, CloudWatch, IAM, Lambda or similar managed services.
 </li>
 <li>
 Strong familiarity with modern container and orchestration technologies such as Docker, Kubernetes, Helm, and service mesh patterns.
 </li>
 <li>
 Practical experience building streaming or event-driven architectures using Kafka, including partitions, consumer groups, offset handling, back-pressure strategies, and exactly-once semantics.
 </li>
 <li>
 Comfort troubleshooting distributed systems: debugging timeouts, thread starvation, queue backlogs, serialization bottlenecks, and GC/JVM performance issues.
 </li>
 <li>
 Experience with CI/CD, automated testing pipelines, canary deployments, observability stacks (Prometheus, Grafana, ELK), and production monitoring best practices.
 </li>
 <li>
 Ability to analyze complex systems, decompose problems, reason about edge cases, and make thoughtful tradeoffs between performance, reliability, and simplicity.
 </li>
 <li>
 Familiarity with AI-assisted developer tools for rapid prototyping, code generation, unit test creation, architecture exploration, and productivity amplification.
 </li>
 <li>
 Experience driving process improvements, standardizing patterns, automating repetitive workflows, and influencing engineering best practices across teams.
 </li>
 <li>
 Strong analytical mindset with the ability to interpret metrics, logs, and behavioral trends to improve system performance and operational efficiency.
 </li>
 <li>
 Exposure to building secure, compliant, and resilient cloud-native systems with proper handling of authentication, authorization, encryption, and data privacy requirements.
 </li>
 <li>
 Ability to thrive in a fast-paced environment, handle ambiguity, and contribute effectively in cross-functional teams involving backend, frontend, product, and platform engineering.
 </li>
 <li>
 Passion for continuous learning and staying updated with new frameworks, cloud capabilities, architectural approaches, and emerging technologies.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Backend Software Development Engineer

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Pune, Maharashtra, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
 </li>
 <li>
 Experience with Angular.
 </li>
 <li>
 Experience with a public cloud provider, such as Google Cloud Platform.
 </li>
 <li>
 Experience with one or more languages such as Java, Python, JavaScript, or similar.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud Platform or other cloud certification(s).
 </li>
 <li>
 Experience working with a cross-functional, geographically dispersed team and customer base and collaborating with channel partners, systems integrators, and third-party developers to deliver solutions.
 </li>
 <li>
 Understanding of authentication and authorization in web applications.
 </li>
 <li>
 Understanding of the cloud marketplace and the differentiators of various cloud offerings.
 </li>
 <li>
 Ability to learn and work with new and emerging technologies, methodologies, and solutions in the cloud/IT technology space.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain web applications deployed on cloud infrastructure.
 </li>
 <li>
 Work with product managers, technical leads, and developers to deliver implementations of web applications.
 </li>
 <li>
 Collaborate with a cross-functional team to deliver solutions that meet the evolving needs of the business.
 </li>
 <li>
 Understand client requirements and translate them into functional web applications.
 </li>
 <li>
 Leverage cloud platforms to build and deploy web applications.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Web Application Engineer

Oracle

<div>
 
 Fusion Applications (FA) is Oracle's leading SaaS offering of several critical business applications like Enterprise Resource Planning (ERP), Human Capital Management (HCM), Customer Relationship Management (CRM) and many more. The enterprise grade application suite serves as one of the focal points of Oracle's business value.While Fusion Applications has been a huge success, the basic architecture is based on an on-premise, Fusion Middleware stack that has not changed since its inception. We are the Fusion Applications Technical Architecture team and have been tasked with defining the next generation architecture (codename Spectra) based on cloud native principles running in Oracle Cloud Infrastructure (OCI). The migration from a monolith to a modern cloud based micro-service architecture opens new avenues to work with a wide range of state-of-the-art technologies and OCI services. It will also mean instituting better processes and practices as we transform to software as a service development model that includes following industry standard developer workflows, CICD pipelines, safe deployment practices, cloud based automated testing, DevOps culture, etc.
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 BS or MS degree in computer science, or equivalent
 </li>
 <li>
 18+ years of developing and shipping enterprise distributed and/or cloud native systems
 </li>
 <li>
 Strong grasp of system design fundamentals and distributed systems architectural best practices
 </li>
 <li>
 
 Demonstrated ability to write great code in Java, Python, or similar OO languages
 
 </li>
 <li>
 Experience with web application development using microservices frameworks such as Helidon, Dropwizard, Spring, etc.
 </li>
 <li>
 Experience with Public Cloud SaaS, PaaS Services and/or related technology experience, Cloud Engineering Infrastructure Development
 </li>
 <li>
 Experience with containers and container orchestration technologies (Kubernetes, Docker)
 </li>
 <li>
 Strong desire to make an impact and thrive in collaborative and energetic environments
 </li>
 <li>
 Ability to effectively communicate technical concepts verbally and through design aspects
 </li>
 </ul>
 
 Career Level - IC5
 
 
 
 Responsibilities
 
 
 
 As a Consulting Member of Technical Staff you will own the software design and development for major Backend components of Spectra UI Infrastructure Services. You should value simplicity and scale, enjoy solving complex technical challenges, work comfortably in a collaborative, agile environment, mentor junior engineers and always be excited to learn .
 
 <ul>
 <li>
 Work on the high level design, create detailed technical design and architecture
 </li>
 <li>
 Build and manage microservices that are performant, resilient and self-healing
 </li>
 <li>
 Work with cloud native technologies such as Docker, Kubernetes etc
 </li>
 <li>
 Contribute ideas for continually improving the team's productivity and code delivery
 </li>
 <li>
 Perform thorough code reviews, follow best engineering practices with performance, scalability, resiliency and security as key tenets
 </li>
 <li>
 Analyzing and debugging issues, including bugs, customer issues, and performance issues
 </li>
 <li>
 Participate in various planning, backlog grooming and technical design reviews
 </li>
 <li>
 Providing coaching and mentoring to the engineering team
 </li>
 <li>
 Collaborating and contributing in an inclusive and diverse environment to continuously build a healthy work culture
 </li>
 </ul>
 
 
</div>

Senior Principal Software Engineer

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

Flipkart

<div>
 
 Flipkart Commerce Cloud is Flipkart's externalization arm, with the purpose of opening a SaaS business. FCC is laser-focused on retail intelligence with the mission of helping the client grow their business with deep tech integration. The core idea is to provide strong tech capabilities that Flipkart has built over more than a decade to the clients.
 
 
 
 
 
 Flipkart Commerce Cloud is hiring for UI &amp; SDE 2's
 
 
 **UI Roles**:
 
 
 - UI 1: 1-3 years of experience (excluding internship)
 
 
 - UI 2: 2.5 to 5 years of experience
 
 
 - UI 3: 5 to 8 years of experience
 
 
 
 
 
 **SDE 2**: 2 to 5 years of experience
 
 
 If you are interested, please apply using the links below:
 
 
 
 
 
 - UI Role: https://lnkd.in/gWv7JdDi
 
 
 - SDE 2: https://lnkd.in/gfxS6qvF
 
 
 
</div>

Software Engineer

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