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Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. About The Role 1-2 Years work experience in embedded software and/or driver development. Candidate should be detail-oriented and have strong analytical and debugging skills, strong communication skills (written and verbal), working with teams across multiple time zones.Extremely strong knowledge of C/C++ programming is mandatory. Have working knowledge on Device Driver Programming in Linux/ RTOS like QNX /Greenhills etc.Fluent in industry standard software development toolsdebuggers, code revision control systems (GIT, Perforce), IDEs and build tools Additional About The Role Solid working knowledge of Android versions, thorough understanding of Android Display Framework, Composer HAL, DRM-KMS, OpenWFD standard or any other display driver.Excellent knowledge of Display HW processing and various RGB & YUV display color format.Experience in embedded display driver implementation.

This is a high-impact role for someone who thrives at the intersection of data science and business strategy, and is passionate about applying AI to make life insurance more accessible, personalized, and efficient. A skilled and business-oriented Data Scientist to join Data Science & Analytics team and drive data-led decision-making across the life insurance value chain. To solve key business problems such as improving customer acquisition, underwriting, cross-sell, persistency, and claims using advanced analytics and AI (and GenAI). To collaborate with cross-functional teams including Product, Sales, Marketing, Risk, and Actuarial to build predictive models, segment customers, optimize campaigns, and design intelligent automation solutions. To extract insights from complex datasets, creating machine learning pipelines, and deploying scalable models that directly impact business growth and efficiency. Key Focus Areas: To drive data-driven strategy, solving business problems using data & decision science Be actively involved in taking key decisions for the company, charting out how we play in the competitive landscape. To Chalk out Analytical solutions and strutured approach, to solve complex business problems To identify friction points for the customers, and producing innovative ideas/solutions To analyze structured and unstructured data to generate actionable insights, to derive insights & actionables to steer business. To collaborate with Business stakeholders such as Product, Marketing, Sales, Risk, Underwrting, Customer Service and Actuarial teams, to make tangible business impact leveraging data and AI To Develop statisitcal/predictive/ ML & GenAI models, if required, to solve the business problem Qualifications & Competencies: A problem solver at heart, first-principles thinker, enjoy challenging status quo, coming up with non-traditional solutions to traditional problems, love numbers, are married to technology and have a bias for action. 4-8 years of hands-on and strong experience in core Advanced Analytics, Data Science, and Predictive Modeling/ML/AI & GenAI Proficiency in statistical data analysis and modeling tools such as SQL, Python and respective libraries Good knowledge of statistics and predictive modeling concepts Experience in Amazon Web Services (Lamda, SNS, SQS, RDS, EC2, KMS, etc.) environment, Sagemaker and QuickSight preferred Insurance, other banking/financial industry, FinTech, HealhTech experience preferred Understanding of Credit Risk Assessment, alternate risk scoring, credit profiling & segmentation, dynamic pricing model based on risk profile, fraud prevention preferred. Understanding of Google Analytics suite, Google Cloud & BigQuery preferred. Minimum Bachelor's degree in Engineering/Technology / Statistics or MBA from a premium B school

Role & responsibilities Security Advisory role in design of platform tools & formulating hardening guidelines. Assist in Selection, design, implementation and maintaining secure cryptographic solutions using Thales, Fortanix HSM technology. Strategize and formulate high and low-level monitoring mechanism for platform security technology and best practices, manage the organization's platform security strategy & controls and keep abreast of new technologies and capabilities. Possess and maintain in-depth technical and business knowledge of aspects of Special Security Technologies ( WAF, PIMS, SFG/SFTP, Oracle, PostgreSQL, KMS/HSM), Server Security 2 (Linux /Unix/Solaris/AIX, SCD. Possess and maintain broad technical and business knowledge of aspects of security technologies including Cryptographic technologies, basics of networking etc. Provide Security advisory role in implementation of platform technology procured. Taking proactive measures for enhancing the s ecurity posture of the Bank's platform technologies by studying the vulnerabilities issued/ published by various OEMs, internal and external agencies such as CERT, CSITE, CISA etc. Security Certification like CISSP,CISM. PowerShell scripting/reporting/ Automation experience, experience with OpenSSL. Should be aware about security standards like FIPS 140-Level 2,3, NIST, HIPAA

We are seeking an experienced Senior DevOps Engineer with deep expertise in building automation and CI/CD pipelines within a serverless AWS environment . The ideal candidate will have hands-on experience managing AWS Lambda at scale , designing infrastructure with AWS CDK , and implementing pipelines using GitHub Actions . This role will play a key part in scaling, securing, and optimizing our cloud-native architecture. Key Responsibilities: Design, implement, and maintain robust CI/CD pipelines using GitHub Actions and AWS CDK . Build and manage serverless applications with a focus on scalability, performance, and reliability . Configure and maintain key AWS services including: IAM, API Gateway, Lambda (600+ functions), SNS, SQS, EventBridge, CloudFront, S3, RDS, RDS Proxy, Secrets Manager, KMS, and CloudWatch . Develop infrastructure as code (IaC) using AWS CDK and CloudFormation Templates . Code primarily in TypeScript , with additional scripting in Python as needed. Implement and optimize DynamoDB and other AWS-native databases. Enforce best practices for cloud security, monitoring, and cost optimization. Collaborate with development, QA, and architecture teams to enhance deployment workflows and reduce release cycles. Required Skills & Experience: Strong expertise in AWS serverless technologies , including large-scale Lambda function management. Extensive experience with AWS CDK and GitHub Actions for pipeline automation. Hands-on with AWS services: IAM, API Gateway, Lambda, SQS, SNS, S3, CloudWatch, RDS, EventBridge , and others. Proficient in TypeScript ; familiarity with Python is a plus. Solid understanding of CI/CD practices , infrastructure automation, and Git-based workflows . Experience building scalable and secure serverless systems in production.