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Epicor

<div>
 
 Duties &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Tests implemented designs.
 </li>
 <li>
 Handles code deployments in all environments.
 </li>
 <li>
 Monitors metrics.
 </li>
 <li>
 Consults with peers for feedback during testing stages.
 </li>
 <li>
 Builds, maintains, and monitors configuration standards.
 </li>
 <li>
 Maintains day-to-day management and administration of projects.
 </li>
 <li>
 Manages CI and CD tools with team.
 </li>
 <li>
 Documents and designs various processes, updates existing processes.
 </li>
 <li>
 Improves infrastructure development and application development.
 </li>
 <li>
 Follows all best practices and procedures as established by the company.
 </li>
 <li>
 Proficient in Database design and/or database administration DevOps/GitOps
 
 
 </li>
 </ul>
 
 Knowledge, Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Complete and maintain basic work and project records.
 </li>
 <li>
 Debugging skills.
 </li>
 <li>
 Ability to work as part of a team.
 </li>
 <li>
 Detail oriented.
 </li>
 <li>
 Problem solving skills.
 </li>
 <li>
 Basic Shell scripting skills.
 </li>
 <li>
 Proficient with Terraform or similar for IaC through DevOps/GitOps
 </li>
 <li>
 Proficient with Ansible or similar for CaC through DevOps/GitOps
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years applicable experience and demonstrated success/knowledge.
 </li>
 <li>
 High school diploma.
 </li>
 <li>
 Bachelor&rsquo;s degree preferred.
 
 
 </li>
 </ul>
 
 About Epicor
 
 
 
 At Epicor, we&rsquo;re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
 
 
 
 We&rsquo;re Proactive, Proud, Partners.
 
 
 
 Whatever your career journey, we&rsquo;ll help you find the right path. Through our training courses, mentorship, and continuous support, you&rsquo;ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we&rsquo;re the essential partners for the world&rsquo;s most essential businesses&mdash;the hardworking companies who make, move, and sell the things the world needs.
 
 
 
 Competitive Pay &amp; Benefits
 
 
 
 <ul>
 <li>
 Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
 </li>
 <li>
 Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
 </li>
 <li>
 Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
 </li>
 <li>
 Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
 </li>
 <li>
 Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
 </li>
 <li>
 Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
 </li>
 <li>
 Global Mobility: Comprehensive support for international relocations and permanent residency processes.
 
 
 </li>
 </ul>
 
 Equal Opportunities and Accommodations Statement
 
 
 
 Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you&mdash;that&rsquo;s who we&rsquo;re interested in. If you have interest in this or any role- but your experience doesn&rsquo;t match every qualification of the job description, that&rsquo;s okay- consider applying regardless.
 
 
 We are an equal-opportunity employer.
 
 
 
 Recruiter
 
 
 
 Sumanth Godha (Sumanth Godha)
</div>

Development Operations Analyst

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

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 3 years of experience with systems automation (Python or Go Lang), and with systems design and implementation.
 </li>
 <li>
 3 years of experience in cloud (e.g., Google Cloud).
 </li>
 <li>
 Experience with Linux operating systems internals and administration, or networking and debugging/troubleshooting.
 </li>
 <li>
 Experience with CI/CD tools such as Git, Piper etc.
 </li>
 <li>
 Experience in IT infrastructure, security standards, working with hardware (enterprise servers), troubleshooting and mitigation.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience in data center and hardware operations or design.
 </li>
 <li>
 Experience working with hardware vendors and supply chain.
 </li>
 <li>
 Experience with customer engagement and proof-of-concept design.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don&rsquo;t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it&rsquo;s hard to control what you can&rsquo;t measure &ndash; so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
 
 
 Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.
 
 
 Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support installation issues such as Google Distributed Cloud Edge (GDCE) zone setup issues (e.g., cabling error, network issue, hardware dead on arrival), edge operating system bootup problems, networking complications, cluster creation hurdles, etc.
 </li>
 <li>
 Troubleshoot customer workload migration issues, including script/playbook errors and store-specific configuration discrepancies.
 </li>
 <li>
 Be the primary point of contact for field deployers encountering issues during GDCE installation at customer sites. Ensure timely resolutions and meeting Service Level Agreements (SLAs).
 </li>
 <li>
 Participate in rotating on-call schedules for seamless production operations and identify the repetitive issues and design automated remediation solutions to reduce the toiling.
 </li>
 <li>
 Interface with external hardware vendors ensuring requirements and specifications of GDCE servers are strictly implemented.
 
 
 
 </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>

Systems Development Engineer

Saviynt

<div>
 
 Saviynt&rsquo;s Enterprise Identity Cloud helps modern enterprises scale cloud initiatives and solve the toughest security and compliance challenges in record time. The company brings together identity governance (IGA), granular application access, cloud security, and Privileged Access Management (PAM) to secure the entire business ecosystem and provide a frictionless user experience. The world&rsquo;s largest brands trust Saviynt to accelerate digital transformation, empower distributed workforces, and meet continuous compliance. We are a distributed global R&amp;D team that is extremely focused on building a platform that solves the toughest security and compliance challenges while helping Saviynt maintain its leadership position in delivering enterprise identity cloud solutions.
 
 
 &nbsp;
 
 
 We encourage you to apply and bring your expertise if you&rsquo;re a:
 
 
 
 Collaborative Partner:
 
 
 Working side-by-side with business colleagues and interacting with customers, you&rsquo;ll address their technical challenges and ensure quality through collaborative, test- and behavior-driven development
 
 
 
 
 Problem Solver:
 
 
 Complex problems often require innovative, creative approaches&mdash;and you&rsquo;ll work to come up with outside-the-box solutions to solve them
 
 
 
 
 Customer-Centric Developer:
 
 
 You understand who we&rsquo;re here to serve and the products you develop will keep the end-user front and center.
 
 
 
 
 Forward Thinker:&nbsp;
 
 
 Merely fixing a problem isn&rsquo;t enough &ndash; using your proactive mindset and initiative, you&rsquo;ll also identify opportunities to enhance performance, quality, and efficiency
 
 
 
 
 Motivated Mentor:&nbsp;
 
 
 Exercise your technical chops while coaching and collaborating with junior software engineers.
 
 
 
 
 
 
 
 WHAT YOU WILL BE DOING
 
 <ul>
 <li>
 Participate in requirements analysis
 </li>
 <li>
 Develop state-of-the-art enterprise identity cloud solutions
 </li>
 <li>
 Test and deploy applications and systems
 </li>
 <li>
 Revise, update, refactor and debug code
 </li>
 <li>
 Ability to start a program from scratch as well as maintain existing services
 </li>
 <li>
 Develop documentation throughout the software development life cycle
 </li>
 <li>
 Collaborate with internal teams to produce software design and architecture
 </li>
 <li>
 Serve as an expert on applications and provide technical support
 </li>
 <li>
 Follow the true agile principles
 
 </li>
 </ul>
 
 
 
 
 WHAT YOU BRING
 
 <ul>
 <li>
 12+ years of software engineering experience
 </li>
 <li>
 Expert-level ability utilizing technologies such as Java, Spring Framework, &nbsp;REST and Microservices
 </li>
 <li>
 Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes)
 </li>
 <li>
 Hands on experience with SQL,&nbsp;
 </li>
 <li>
 Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement
 </li>
 <li>
 Experience with unit, functional and system integration testing
 </li>
 <li>
 Extensive understanding of working in an agile environment utilizing Scrum and Kanban
 </li>
 <li>
 Experience with Git (GitHub/GitLab), automatic deployments, continuous integration
 </li>
 <li>
 Hands on experience using IntelliJ or Eclipse/My Eclipse IDE, writing Junit test cases, working with Maven/Ant
 </li>
 <li>
 Excellent negotiation, facilitation, and consensus-building capabilities
 </li>
 <li>
 Openness and adaptability to respond to fast-moving circumstances
 </li>
 <li>
 Proficiency in multiple programming languages and tools
 </li>
 <li>
 Strong oral and written communication skills
 </li>
 <li>
 Collaborative and adaptable working style with the ability to pair program
 </li>
 <li>
 Demonstrate initiative and the ability to prioritize your time and efforts
 </li>
 <li>
 A thorough grasp of technology concepts, business operations, design and development tools, system architecture, and technical standards
 </li>
 <li>
 Understanding of backlog tracking, burndown metrics, and incremental delivery
 </li>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in a technical or business discipline, or equivalent experience
 
 </li>
 </ul>
 
 
 
 
</div>

Principal/Associate Principal Engineer - Software Engineer

BNP Paribas

<div>
 
 
 Mandatory Skillset:
 
 Python Dev (FAST-API), Microservices, Linux, Kubernates, CI/CD
 
 
 
 Experience Range:
 
 7+
 
 
 
 Location: Banglore
 
 
 
 
 
 
 
 
 About Business line/Function:
 
 
 
 The position is focused on process automation of the private cloud that underpins BNP Paribas&rsquo; cloud workspace. Thousands of virtual servers are provisioned for a wide portfolio of products, and the service must maintain very high performance and availability for critical business critical workloads.
 
 
 The role will spend &asymp; 75 % of the time designing and governing CI/CD pipelines, performing Python based code reviews, building monitoring solutions for micro service-based applications and handling RPA related incidents. The remaining time will be devoted to designing, developing and deploying new features, fixing defects, validating solutions and promoting new releases into production.
 
 
 A high learning capacity, strong reactivity, proactive improvement mindset and the ability to follow through on project and incident remediation plans are essential
 
 
 
 Position Purpose:
 
 
 
 To design, develop, automate and sustain the CI/CD and monitoring ecosystem for the private cloud platform, ensuring reliable, secure and scalable delivery of micro services and RPA solutions that meet the evolving needs of BNP Paribas&rsquo; internal customers.
 
 
 
 Responsibilities
 
 
 
 
 Direct Responsibilities
 
 
 
 &bull; Develop new micro services (Python, FastAPI) in close collaboration with the Paris development team.
 
 
 &bull; Design, build and maintain CI/CD pipelines (Tekton, Helm, Jinja templating) for automated build, test and release cycles.
 
 
 &bull; Conduct code reviews and share reusable code snippets, ensuring adherence to quality standards.
 
 
 &bull; Implement application and system monitoring (Prometheus, Grafana, Loki, Alertmanager, Sentry, Kibana) for micro service health and performance.
 
 
 &bull; Create and support RPA related incident resolution processes; act as the first point of contact for user issues.
 
 
 &bull; Produce technical documentation, peer review artefacts and maintain knowledge base entries (Confluence, Git/Bitbucket).
 
 
 
 Contributing Responsibilities
 
 
 
 &bull; Participate in API design &amp; management (REST, Curl, Python requests).
 
 
 &bull; Work with infrastructure &amp; security tools (Kubernetes, Vault, HashiCorp, CyberArk, Keycloak, Illumio, HA Proxy).
 
 
 &bull; Assist in data store administration (MongoDB, PostgreSQL + Timescale, Redis).
 
 
 &bull; Support workflow orchestration (Apache Airflow) and visualisation (Superset, Grafana dashboards).
 
 
 &bull; Contribute to incident post mortems, root cause analysis and continuous improvement actions.
 
 
 &bull; Mentor junior team members and promote best practice sharing across the global delivery ecosystem.
 
 
 
 Technical &amp; Behavioral Competencies
 
 
 
 
 
 
 Specific Qualifications:
 
 
 
 
 Skills Referential (Required knowledge, skills and abilities)
 
 
 
 
 Technical Skills (required):
 
 
 <ol>
 <li>
 o Python (advanced)
 </li>
 <li>
 o Bash / YAML
 </li>
 <li>
 o Kubernetes &amp; Helm
 </li>
 <li>
 o Jinja templating
 </li>
 <li>
 o Tekton CI/CD
 </li>
 <li>
 o FastAPI
 </li>
 <li>
 o HashiCorp Vault
 </li>
 <li>
 o MongoDB (NoSQL)
 </li>
 <li>
 o Apache Airflow
 </li>
 <li>
 o Kibana / Grafana
 </li>
 <li>
 o API development (Curl, requests)
 </li>
 </ol>
 
 
</div>

Python Developer

Texas Instruments

<div>
 
 Job Description
 
 
 
 
 Change the world. Love your job.
 
 
 
 As a Senior Engineer in the Application Drivers &amp; Software Infrastructure team, you will contribute to the design, development, and testing of customer-facing peripheral drivers (SPI, I2C, ADC, GPIO, etc.) and embedded software infrastructure for TI&rsquo;s connectivity devices. You will work closely with the team lead and other engineers to support Zephyr RTOS integration, CI/CD automation, and SDK delivery. You will have the opportunity to collaborate with a cross-cultural, multisite team and global stakeholders. This role offers strong technical growth, hands-on experience, and opportunities to learn from experienced mentors.
 
 
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2&ndash;5 years of experience in embedded driver development or infrastructure tooling
 </li>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Electronics/Electrical/Computer Science
 
 
 </li>
 </ul>
 
 Skills Needed
 
 
 
 <ul>
 <li>
 Good experience in Embedded C and hardware driver development
 </li>
 <li>
 Understanding of low-level peripheral drivers: SPI, I2C, UART, ADC
 </li>
 <li>
 Familiarity with Zephyr RTOS or other embedded operating systems
 </li>
 <li>
 Exposure to DevOps tools, build systems (CMake), and test automation for embedded SW
 </li>
 <li>
 Experience with debugging tools (oscilloscope, logic analyzer, debuggers) is a plus
 </li>
 <li>
 Proficiency with Git and scripting languages (Python/Perl) for CI workflows
 </li>
 <li>
 Ability to work collaboratively in a team environment
 </li>
 <li>
 Willingness to learn, take ownership, and contribute to team success
 </li>
 <li>
 Experience working in cross-cultural, multisite teams is a plus
 
 
 </li>
 </ul>
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Develop and test peripheral drivers and infrastructure components for TI connectivity platforms
 </li>
 <li>
 Support Zephyr RTOS integration and configuration
 </li>
 <li>
 Contribute to CI/CD pipelines, unit test frameworks, and SDK packaging
 </li>
 <li>
 Participate in code reviews, design discussions, and team meetings
 </li>
 <li>
 Debug and resolve issues in driver and application layers
 </li>
 <li>
 Collaborate with team members and seek mentorship from senior engineers
 </li>
 <li>
 Ensure timely delivery, quality, and documentation of assigned tasks
 </li>
 <li>
 Collaborate with global, cross-cultural, multisite teams
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Why TI?
 
 
 
 <ul>
 <li>
 Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
 </li>
 <li>
 We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
 </li>
 <li>
 Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
 
 
 </li>
 </ul>
 
 About Texas Instruments
 
 
 
 Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
 
 
 Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
 
 
 If you are interested in this position, please apply to this requisition.
 
 
 
 About The Team
 
 
 
 TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
</div>

Software Engineer

McAfee

<div>
 
 Role Overview
 
 
 
 We are seeking a highly skilled and detail oriented Software Engineer UI Test Engineer with 5+ years of experience in manual and automation testing, including hands on exposure to AI-driven test tools and MCP (Model Context Protocol) tools. The ideal candidate has a strong understanding of UI/UX quality, proficiency in designing test cases and automation scripts, and experience working in fast-paced Agile environments. Familiarity with API testing and modern testing frameworks is a strong advantage.
 
 
 This is a Hybrid position located at our Bangalore, India, development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Develop responsive, accessible, and performant UI features using React.js, TypeScript, and modern UI libraries (MUI, Tailwind, Chakra, etc.).
 </li>
 <li>
 Build reusable UI components, optimize rendering performance, and maintain coding best practices.
 </li>
 <li>
 Collaborate with designers to transform Figma/UI specs into high-quality, production-ready interfaces.
 </li>
 <li>
 Develop and maintain backend services using Node.js, Express/Nest.js, or similar frameworks.
 </li>
 <li>
 Implement REST/GraphQL APIs, middleware, caching, authentication, and data integrations.
 </li>
 <li>
 Work with databases (PostgreSQL, MongoDB, Redis) for API-driven UI workflows.
 </li>
 <li>
 Utilize AI tools, AI Agents, and LLMs to automate UI development, improve workflows, and enhance end-user experience.
 </li>
 <li>
 Apply MCP (Model Context Protocol) to integrate context-aware AI capabilities into development and product features.
 </li>
 <li>
 Implement AI-driven UI enhancements such as smart suggestions, adaptive interfaces, or semantic search.
 </li>
 <li>
 Use GitHub Copilot and similar AI coding tools to improve development velocity and code quality.
 </li>
 <li>
 Contribute to AI-assisted code reviews, documentation, and automation scripts.
 </li>
 <li>
 Conduct performance tuning, component-level optimization, code splitting, and lazy loading.
 </li>
 <li>
 Ensure compliance with accessibility standards (WCAG) and best UI/UX practices.
 </li>
 <li>
 Participate in code reviews, architectural discussions, and solution design.
 </li>
 <li>
 Work within Agile/Scrum teams, contributing to estimations, sprint planning, and technical grooming.
 </li>
 <li>
 Collaborate with product managers, designers, backend teams, and QA for end‑to‑end delivery.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 5&ndash;7 years of hands-on experience in full-stack or UI-focused development.
 </li>
 <li>
 Strong expertise in React.js, JavaScript/TypeScript, HTML5, CSS3, and modern UI frameworks.
 </li>
 <li>
 Solid experience with Node.js, Express/NestJS, and API development.
 </li>
 <li>
 Practical hands-on experience with:
 </li>
 <ul>
 <li>
 AI Tools (OpenAI/Azure OpenAI tooling, AI-assisted coding, AI testing tools)
 </li>
 <li>
 LLMs (prompting, function calling, model integration)
 </li>
 <li>
 AI Agents (autonomous workflows, agent frameworks)
 </li>
 <li>
 MCP (Model Context Protocol) for integrating AI context and tools
 </li>
 <li>
 GitHub Copilot or similar AI coding assistants
 </li>
 </ul>
 <li>
 Strong understanding of frontend architecture, state management (Redux, Zustand, Context API), and component-driven development.
 </li>
 <li>
 Experience with build systems and packaging tools (Vite, Webpack, Esbuild).
 </li>
 <li>
 Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI).
 </li>
 <li>
 Knowledge of browser performance debugging, Web Vitals optimization, and best security practices.
 </li>
 <li>
 Excellent problem-solving, communication, and collaboration skills.
 
 </li>
 </ul>
 
 Company Overview
 
 
 
 McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
 
 
 
 Company Benefits And Perks
 
 
 
 We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We&rsquo;re proud to be Great Place to Work&reg; Certified in 10 countries, a reflection of the supportive, empowering environment we&rsquo;ve built where people feel seen, valued, and energized to reach their full potential and thrive.
 
 
 We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
 
 
 <ul>
 <li>
 Bonus Program
 </li>
 <li>
 Pension and Retirement Plans
 </li>
 <li>
 Medical, Dental and Vision Coverage
 </li>
 <li>
 Paid Time Off
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Support for Community Involvement
 
 
 </li>
 </ul>
 We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
 
 
</div>

Software Development Engineer in Test (SDET)

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