99424 Aws Jobs - Page 6

Key Responsibilities - Develop and maintain server-side applications using Node.js and Express. - Design and implement RESTful APIs for various applications. - Integrate databases such as MySQL , Github and MongoDB for optimal performance. - Collaborate with front-end developers to integrate user-facing elements with server-side logic. - Deploy and manage applications on AWS. - Write clean, maintainable, and efficient code using JavaScript and TypeScript. - Participate in code reviews and contribute to a culture of continuous improvement. Required Skills and Qualifications - 2 years of professional experience in Node.js development. - Proficient in Express.js framework. - Strong knowledge of MySQL and MongoDB. - Basic understanding of AWS services and deployment. - Expertise in JavaScript and TypeScript. - Familiarity with version control systems like Git. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Paid sick time Provident Fund Work Location: In person

About Knowdis.ai Knowdis.ai is an AI-first company specializing in e-commerce applications. We harness the power of machine learning and AI to enhance e-commerce operations, optimize customer experiences, and drive growth. If you are passionate about AI-driven product innovation, this is the perfect opportunity to make a meaningful impact. Key Responsibilities: - Infrastructure Management: Build scalable and robust infrastructure for ML models, ensuring seamless production integration. - CI/CD Expertise: Develop and maintain CI/CD pipelines with a focus on ML model deployment. - Model Deployment and Monitoring: Deploy ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, or TensorRT and monitor their performance in production. - Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production. - Security and Compliance: Uphold security protocols and ensure regulatory compliance in ML systems. Skills and Experience Required: - Proficiency in Docker and Kubernetes for containerization and orchestration. - Experience with CI/CD pipeline development and maintenance. - Experience in deploying ML models using TensorFlow Serving, Pytorch Serving, Triton Inference Server, and TensorRT. - Experience with cloud platforms like AWS, Azure, and GCP. - Strong problem-solving, communication, and teamwork skills. Qualifications: - Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field. - 4-6 years of experience in ML project management, with a recent focus on MLOps. Additional Competencies: - AI Technologies Deployment, Data Engineering, IT Performance, Scalability Testing, and Security Practices. SELECTION PROCESS: Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf of the Client. Candidates selected after the screening test will be interviewed by the Client

Job Description Role - AI Engineer Intern Exp - 6 months - 1year Location - Mohali, PB Work Mode - Work from office ( 12-10pm IST) Position Overview We are seeking a highly motivated AI Engineer Intern to join our engineering team. This is an exciting opportunity to work alongside experienced engineers and researchers to develop, train, and deploy AI models. You//'ll also explore and implement modern AI tools to improve workflows and enhance productivity across internal teams. Key Responsibilities  Assist in designing, developing, and testing machine learning models.  Collect, clean, and preprocess datasets for training and evaluation.  Perform exploratory data analysis (EDA) to extract meaningful insights.  Implement and optimize algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn.  Collaborate with cross-functional teams to integrate models into production environments.  Explore emerging AI tools and platforms (e.g., automation, NLP assistants, no-code AI, etc.) and evaluate their applicability to internal operations.  Prototype and implement AI-driven solutions to streamline internal processes, such as documentation, data analysis, reporting, or workflow automation.  Document findings, models, and codebase to ensure reproducibility.  Stay updated with the latest trends and advancements in AI/ML. Qualifications  Currently pursuing a degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.  Solid understanding of machine learning concepts and algorithms.  Proficiency in Python and common ML libraries (e.g., NumPy, pandas, scikit- learn).  Experience with deep learning frameworks such as PyTorch or TensorFlow is a plus.  Familiarity with NLP, computer vision, or time series analysis is a bonus.  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities. Preferred Qualifications  Previous project or internship experience in AI/ML.  Interest or experience in productivity tools, automation, or process optimization.  Knowledge of cloud platforms (AWS, GCP, or Azure).  Experience with version control (e.g., Git) and collaborative development.

Job Overview: We are looking for a skilled System Administrator with 2–3 years of hands-on experience in managing IT infrastructure, routers, networks, and containerized environments. The ideal candidate should have strong expertise in LAN/WAN configuration , network troubleshooting , and Docker/Kubernetes administration to ensure smooth operations of systems and applications. Key Responsibilities: Install, configure, and maintain routers, switches, and firewalls for secure and reliable network connectivity. Manage and troubleshoot LAN/WAN infrastructure to ensure optimal performance. Monitor network performance, diagnose issues, and implement corrective measures. Deploy, configure, and manage Docker containers and Kubernetes clusters for application hosting. Perform regular system updates, backups, and security checks. Manage user accounts, permissions, and system access controls. Collaborate with the DevOps and development teams for smooth deployment cycles. Implement and maintain disaster recovery and failover strategies. Ensure compliance with IT security policies and industry best practices. Required Skills & Qualifications: Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience). 2–3 years of proven experience in system administration. Strong knowledge of routers, switches, LAN, and WAN technologies . Experience with Docker containerization and Kubernetes orchestration . Familiarity with Linux/Windows server administration. Good understanding of network protocols (TCP/IP, DNS, DHCP, VPN). Problem-solving skills and ability to work under pressure. Strong communication and teamwork abilities. Preferred Skills: Knowledge of cloud platforms (AWS, Azure, or GCP). Experience with automation tools like Ansible or Terraform. Certification in networking (CCNA, CompTIA Network+) or Kubernetes (CKA/CKAD) is a plus. Job Type: Full-time Pay: ₹26,000.00 - ₹40,000.00 per month Benefits: Paid sick time Provident Fund Work Location: In person

About Us Tecsys is a global supply chain technology company that helps organizations achieve operational excellence through smarter supply chains. With a strong customer base across healthcare, retail, distribution, and complex logistics, we continue to grow our global footprint—and we're excited to expand our team in India. Earlier this year, we established Tecsys Supply Chain Solutions PVT Limited in Bangalore, further strengthening our global presence. This office builds on our existing India-based support capabilities by introducing new roles and functions that are critical to our 24/7 "follow the sun" global support model. This approach allows us to better serve customers across time zones while ensuring a balanced workload for our teams around the world. Our growing India team plays a key role in supporting and enhancing our solutions, contributing to service delivery, innovation, and the ongoing success of some of the world's most respected brands. At Tecsys, we believe in empowering our people, fostering collaboration, and building a workplace where talent thrives. Join us and be part of a globally connected team that's transforming the future of supply chain. About the role: We're looking for Fullstack developers who are passionate about solving complex problems and who thrive in a dynamic setting that balances focused individual work with strong team collaboration. As part of our Performance and Scalability team, you'll play a key role in developing and maintaining the SWIFT testing framework that supports automated performance testing and benchmarking across product releases. We operate with a strong sense of ownership and accountability, and we expect the same from every team member. You'll be responsible for delivering high-quality, production-ready solutions in a collaborative and fast-paced environment. This role involves close coordination with our SWIFT architecture team based in Canada , which will require flexibility for occasional off-hours discussions and team meetings. Responsibilities:- Build and maintain responsive, user-friendly UIs using React, Next.js, TypeScript, and CSS Extend and optimize backend APIs and services in Python Flask Design database models, queries, and reports using PostgreSQL Deploy and manage Dockerised services hosted on AWS EC2 Develop and maintain CI/CD pipelines using Git and automation workflows (e.g., GitLab or GitHub Actions) Integrate with AWS services (S3, SQS, Lambda) and external systems Collaborate with QA on JMeter, Selenium, and Playwright integration workflows Contribute to the platform's AI readiness by supporting telemetry collection, smart test execution logic, and intelligent test selection Support AI-driven testing features, such as automatic test generation based on recent usage patterns or user prompts Participate in roadmap planning, UI/UX refinement, and long-term platform scalability Build modular components and APIs to support a plugin-based architecture. Requirements Qualifications :- 3-5 years of full-stack development experience Strong proficiency in React, Python Flask, and API design Experience building UI components, data-driven dashboards, and developer-facing tools Comfortable with PostgreSQL and designing performant queries Familiar with Docker, CI/CD pipelines, and Git workflows (GitLab/GitHub) Strong experience deploying applications on AWS EC2 and managing cloud-native resources Ability to design multi-container architectures Understanding of how to run and scale containerized test engines independently of the app Knowledge of multi-threaded and parallel test execution strategies Solid understanding of automation tools and frameworks like JMeter, Selenium, and Playwright Familiarity with AI/ML workflows, especially around telemetry analysis, automation intelligence, or prompt-based automation Experience with prompt engineering or LLM integration At Tecsys, we value creativity, innovation, and teamwork. Our employees enjoy a supportive work environment, competitive compensation packages, and opportunities for career growth and advancement. Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.

Company Description Global Service Center (GSC) operating from Chennai, India, is a part of CHQ - IS supporting Expeditors Information Services. GSC started with 6 employees now we are 540+ employees today delivering world class Information services globally. This Strategic Center's plays a vital role in delivering value to our people, business and customers. We will continue to deliver services as we continue to grow responsibly in the coming years. Expeditors is a global logistics company headquartered in Seattle, Washington. As 500 company, we employ over 19,000 trained professionals in a worldwide network of over 350+ locations across six continents. Expeditors satisfies the increasingly sophisticated needs of international trade through customized solutions and seamless, integrated information systems. Job Description Java Developer- Transportation Data Pipeline, TDP Operational Experience, GNS & Transcon Products SUMMARY and RESPONSIBILITIES The Information Systems- Operational Experience portfolio is responsible for developing core business applications that enable our worldwide network to efficiently manage and transport transcontinental freight. These systems satisfy customer and organization business requirements and provide solutions that enable the organization to achieve its goals. The developer understands business problems and opportunities and applies technical skills in the design, development and testing of data flows, applications, and systems. This position works on the Transportation Data Pipeline (TDP) that bridges multiple application’s data models and maps the differences in business processes to allow our global system to function seamlessly. This effort is part of Expeditors strategic initiatives. Qualifications Minimum Qualifications Ability to produce high quality code (e.g., testable/extensible, maintainable) for complex technical solutions Experience level - Between 6-12 years of Java backend development experience Demonstrated ability to communicate technical details to both technical and non-technical stakeholders Proven interpersonal skills and the ability to communicate effectively Proficiency with the software development lifecycle, especially Agile techniques Effective at navigating ambiguity and mitigating risks Excellent time management and organization skills Bachelor's degree in computer science, Computer Engineering, or equivalent job-related experience Desired Qualifications Proficient with Spring, Kafka and Kafka Streams Experience with Kubernetes (K8s) Experience with integration and data transformation in complicated systems Experience with XML, Microservices, and Event Driven Architecture Experience with IntelliJ IDE’s, Git, Maven, Nexus Proficient in driving technical and process improvements Understanding of the transportation/global logistics industry Additional Qualifications Experience with Azure Cloud, Google Cloud, AWS or similar REPORTING STRUCTURE Team Manager, Operational Experience, GNS & Transcon Products Additional Information Expeditors offers excellent benefits: Paid Vacation, Holiday Health Plan: Medical Insurance Employee Stock Purchase Plan Training and Education Programs Unlimited opportunities for career advancement

DESCRIPTION As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. It’s truly Day 1 for our team in AWS. This is your opportunity to be a member of a team that’s building a suite of AWS Apps and Services to tackle a huge new problem space. You’ll be an integral part of testing to test the app build by services services that leverage AWS technologies like SageMaker, Forecast, Athena, QuickSight, Glue, Bedrock, ML and more. As an QA member of the team, you’ll wear many hats. You’ll help design the overall test strategy, test plan, contribute to the product vision, and establish the technology processes and practices that will lay the groundwork for the organization as it grows. An ideal candidate is an experienced Software QA Engineer with a development and/or QA background who can direct the activities of a growing team. The successful candidate should be able to apply QA process, practice and principles to software development and release processes, should apply their experience with a variety of software QA tools to accomplish these processes, as well as to describe requirements for new scripts, tools and automation needed by their team. Responsibilities include defining test strategy and test plans, reviewing them with stakeholders, improving test coverage, reviewing and filling gaps in existing automation, representing the customer, understanding how the customers use the system and including the most relevant end-to-end user scenarios in test plans and automation. Responsibilities: Understanding how all elements of the system software ecosystem work together and developing QA approaches that fit the overall strategy Responsible for development of test strategies and creation of appropriate test harnesses Providing test infrastructure to enable engineering teams to test and own quality of the services. Being a stakeholder of the release to ensure defects are fixed per SLA and end customer experience are protected and improved Development and execution of test plans, monitoring and reporting on test execution and quality metrics Coordinating with offshore Quality Service team on test execution and sign-off A day in the life Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS 4+ years of quality assurance engineering experience Experience in automation testing Experience scripting or coding Experience in manual testing · Experience in at least, one modern programming language such as Python, Java or Perl PREFERRED QUALIFICATIONS Deep hands-on technical expertise Experience with at least one automated test framework like Selenium or Appium or Cypress Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality A deep understanding of automation testing by leading engineers who can write automation scripts/programs that will aid in automated testing Experience working in Supply chain domain Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job ID: 35497 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 23 Jul 2025 Job Summary The MLOps Engineer will be responsible for deploying data scientist’s model and make it accessible to the software that utilizes it. Responsibilities include - deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations. Key Responsibilities Business Proficiency in data modelling and ETL processes Basic understanding of use cases of the business domai Processes Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements Create infra and architecture diagrams Ability to project manage, allocate activities to junior ML engineers and take it to closure Improvise coding practices, support code reviews and bring in best practices for model management Provide thought leadership in terms of new technologies and tools, suggest improvements Able to support in the interview process to hire junior and senior ML engineer Risk Management Compliance to Risk management Framework Governance Partner with Data Analyst / Report Designer to identify solutions Partner with key stakeholders to draw up and agree implementation plans Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters Key stakeholders AI Solution teams Skills and Experience Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Experience: Proven experience as a Data Engineer or in a similar role for 6+ years. Hands-on experience with data pipeline and workflow management tools Proficiency in SQL and experience with relational databases Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data warehousing solutions Technical Skills: Strong programming skills in Python. Knowledge of data modelling, data warehousing, and database design. Experience with version control systems (e.g., Git). Understanding of data security and privacy principles Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Attention to detail and a commitment to delivering high-quality work. Role Specific Technical Competencies SQL, Python Basic statistics Cloud Platforms (AWS& Azure) Data Modeling Project management skills Agile methodologies, SCRUM About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Types: Full-time, Contract Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Do you hold a valid passport? When can you join us? Experience: AI and ML: 1 year (Required) Work Location: In person

Job Description Summary It is a leadership-focused role responsible for streamlining the software development lifecycle by automating processes, managing infrastructure, and fostering collaboration between development and operations teams. They build and manage scalable, high-availability systems, optimize performance, reduce costs, enhance security, and mentor junior engineers. They also play a key role in selecting tools, designing CI/CD pipelines, and ensuring efficient and reliable deployments. Job Description Develop, implement and maintain CI/CD pipelines. Automate infrastructure provisioning. Monitoring software performance, fixing errors, troubleshooting systems, implementing preventive measures for smooth workflows, and building automated processes Manage cloud environment (AWS) and optimize resources. Ensure security, compliance, and best practices in deployment pipelines. Implement and manage container orchestration (Docker, Kubernetes). Collaborate with development and IT teams to streamline operations. Maintain infrastructure as code (IaC) for scalability and efficiency. Set up logging, monitoring, and alerting systems (ELK, Prometheus, Grafana). Stay updated with the latest DevOps tools, trends, and methodologies. Ensuring security and compliance in cloud and on-prem environments. Requirements: Degree/Master's Degree in Computer Science or relevant engineering with atleast 6 to 7 Years of Experience in DevOps Excellent communication and collaboration skills to work with global teams Proven experience as a DevOps Engineer or similar role. Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.). Proficiency in cloud platforms (AWS, Azure, or GCP). Strong knowledge of containerization (Docker, Kubernetes, Helm). Experience with scripting languages (Python, Bash, PowerShell, etc.). Familiarity with monitoring and logging tools Understanding of security best practices in DevOps. Strong problem-solving skills and ability to work in a fast-paced environment. DevOps certifications (AWS Certified DevOps Engineer, CKA, etc.) are a plus Additional Information Relocation Assistance Provided: No

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Infrastructure Architects are the key link between Kyndryl and our clients. You’re in a technical leadership role, uniting and guiding stakeholders from clients, governance, and project executives to delivery and sometimes even the vendors who work with the client. You’ll be there from the start of a project — understanding what’s needed and figuring out the best technical solution. And you’ll be there at the finish, delivering the right product on time and within budget. As an Infrastructure Architect, you’ll draw upon the full breadth of your talent and experience. This is a technical leadership role, so we want you to bring your vision, knowledge, and leadership to each project. To the client, you’re the subject matter expert – consulting early, gathering inputs, understanding what they need from our solution. You define what Kyndryl can do to meet this solution. You design the best solution for the job. And finally, you’re the tech leader for implementation. Roles and Responsibilities: Participate and lead architecture workshops, working directly with technical teams from AWS enterprise customers and partners to provide unique solutions to customers' individual needs for application deployment. Lead the builds of CloudFormation templates, Chef cookbooks, and scripts to automate and deploy AWS resources and configuration changes. Collaborate and help build utilities and tools for internal use that enable AWS Engineers to operate safely at high speed and wide scale. Leverage day-to-day experiences to provide the voice of the customer to internal AWS teams. Assist customers in architecting advanced cloud-based solutions on AWS and help with designing migration strategies for existing workloads from data centers to the cloud. Ensure that industry best practices for security, data backup, and user management are enforced within architecture designs. Perform periodic architecture reviews and suggest further improvements to enhance application performance. Liaise technically between customers, Cloud Engineers, and vendor support teams. Conduct internal trainings for the internal support team on new cloud services and their use cases. Assist SMEs during critical incidents as required. Document customer environment architecture and maintain updated versions post periodic reviews. Document the technical framework and workflow of the architecture. At Kyndryl we support all major cloud platforms, so you’ll get the chance to use everything you know – and then some. You’ll also become expert at knowing when and how to call on other SMEs outside your wheelhouse. Thinking your way around pre-existing limitations will grow your creativity and flexibility. You’ll learn a lot here, and if you want to work toward certifications there are plenty of opportunities.The rewards for all this are many. You’ll get to influence, create, and deliver something from start to finish. You will have the power to delight our clients. Your future at Kyndryl This role opens the door to many career paths, both vertical and horizontal, and there may be opportunity to travel. It’s a great chance for database administrators or other techs to break into the cloud. It’s also a solid path to become enterprise or chief architect or a distinguished engineer! Whatever you see for yourself, you’ll find the opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience 8+ years experience as an AWS Architect Experience in a technical architect role using service and hosting solutions such as public cloud IaaS, PaaS platforms. Hands-on experience in cloud-native architecture design, implementation of distributed, fault-tolerant enterprise applications for Cloud. Hands-on experience with Terraform, Ansible, GitHub. Hands-on multi-tier architecting skills. Sound knowledge of Infrastructure design (Compute, Storage, Network). Good knowledge of cloud security practices. Linux & Windows Hands-on Expertise. Preferred Technical and Professional Experience AWS Solutions Architect – Associate / Professional Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Dear Candidate, Greetings from Genworx.ai About Us: Genworx.ai is a pioneering startup at the forefront of generative AI innovation, dedicated to transforming how enterprises harness artificial intelligence. We specialize in developing sophisticated AI agents and platforms that bridge the gap between cutting-edge AI technology and practical business applications. We have an opening for Full Stack Developer position at Genworx.ai . please find below detailed Job Description for your understanding. Required Skills and Qualifications: Job Title: Full Stack Developer Experience: 5+yrs Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field Work Location: Chennai Job Type: Full-Time Website: https://genworx.ai/ Key Responsibilities: 1. Problem Solving and Design: Analyse and address complex challenges in generative AI and application development. Debug and troubleshoot application and AI workflow issues for optimal performance Propose and implement scalable, efficient solutions tailored to real-world use cases. 2. Software Development and Integration: Coding: Design, Develop, test, and maintain front-end and back-end components for generative AI applications. Integration: Implement and manage APIs to integrate AI models into web and mobile platforms. Debugging: Debug and resolve application issues, ensuring smooth operation and integration. Build and maintain CI/CD pipelines for seamless deployment of AI-driven applications. Implement DevOps best practices to ensure efficient and secure operations. 3. Generative AI Development: Collaborate with machine learning teams to integrate pre-trained AI models into scalable applications. Work with state-of-the-art models, including large language models (LLMs), image generators, and more. Integrate pre-trained models, including large language models (LLMs). Optimize AI solutions for performance, scalability, and reliability. Experiment with new generative AI frameworks and technologies to enhance application capabilities. 4. Operational Excellence: Maintain high standards of performance, security, and scalability in design and implementation. Monitor and troubleshoot system performance to ensure reliability. Document technical workflows and ensure team adherence to operational guidelines. 5. Team Collaboration and Mentorship: Work closely with cross-functional teams, including product managers, ML engineers, and designers, to deliver high-quality solutions. Mentor junior engineers, fostering a collaborative and learning-oriented environment. Participate in code reviews, brainstorming sessions, and team discussions. 6. Continuous Learning and Innovation: Stay updated on the latest trends in generative AI, cloud platforms, and full-stack development. Experiment with emerging tools and frameworks to enhance system capabilities. Technical Skills: Proficiency in front-end technologies: HTML, CSS, JavaScript (React, Angular, or Vue.js). Proficiency in back-end technologies: Node.js, Python, or Java. Strong understanding of databases: SQL (MySQL/PostgreSQL) and NoSQL (MongoDB). Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD, CircleCI). Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Nice-to-Have Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of containerization tools (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation). Understanding of transformer models like GPT, BERT, or similar architectures. Exposure to Agile development practices. Problem Solver: Ability to address and solve technical challenges effectively. Team Player: Collaborative and proactive attitude in achieving team goals. Strong communication skills to explain technical concepts clearly. Interested candidates, kindly send your updated resume and a link to your portfolio to anandraj@genworx.ai. Thank you Regards, Anandraj B Lead Recruiter Mail ID: anandraj@genworx.ai Contact: 9656859037 Website: https://genworx.ai/ Job Type: Full-time Pay: ₹500,000.00 - ₹4,000,000.00 per year Benefits: Cell phone reimbursement Food provided Health insurance Life insurance Paid sick time Provident Fund Work Location: In person

Job Title: DevOps Engineer Location: Automios Technologies,Chennai Job Type: Full-Time Experience: 8+ yrs Job Summary: We are looking for a talented DevOps Engineer to join our team. The ideal candidate will have a strong background in managing and automating cloud infrastructure using AWS, along with experience in continuous integration and deployment using Jenkins and npm. Proficiency with Linux systems is essential. This role involves collaborating with development teams to streamline deployment processes and ensure the reliability and scalability of our applications. Key Responsibilities: Design, implement, and maintain CI/CD pipelines using Jenkins / aws pipeline Manage and configure AWS infrastructure to support scalable and secure applications. Automate provisioning and deployment processes using tools like Terraform and CloudFormation. Utilize npm for managing and automating JavaScript dependencies and packages. Perform system administration tasks on Linux servers, particularly Ubuntu. Monitor system performance and troubleshoot issues to ensure high availability. Implement security best practices to protect cloud resources and applications. Collaborate with development, QA, and operations teams to ensure seamless integration and deployment. Optimize costs of cloud infrastructure services. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a DevOps Engineer or similar role. In-depth knowledge of AWS services such as EC2, S3, Lambda, and RDS. Proficiency with Jenkins for CI/CD pipeline management. Experience with npm for managing JavaScript dependencies. Strong scripting skills in Python, Bash, or similar languages. Proficiency with Linux systems, particularly Ubuntu. Familiarity with containerization technologies like Docker and Kubernetes. Understanding of networking, security, and database management in AWS. Preferred Qualifications: Experience with configuration management tools like Ansible, Chef, or Puppet. Knowledge of performance and security testing. Familiarity with agile methodologies and DevOps practices. AWS certifications such as AWS Certified DevOps Engineer - Professional. Job Type: Full-time Pay: From ₹1,000,000.00 per year Work Location: In person Speak with the employer +91 9344629025

At Xerago , we empower technologists to lead the digital frontier. As a Senior Full Stack Developer , you will play a key role in designing, developing, and deploying robust, scalable web applications that enable business transformation and deliver exceptional digital experiences. You will work across both front-end and back-end technologies to build high-performance, user-centric platforms. This role demands hands-on development expertise, architectural understanding, and team collaboration to build innovative and maintainable solutions. Key Responsibilities: Design, develop, and maintain full-stack web applications using modern frameworks and technologies (e.g., React, Node.js, Django, FastAPI). Build and integrate RESTful or GraphQL APIs and microservices to support feature-rich web and mobile applications. Collaborate with UI/UX designers, product managers, and QA teams to deliver high-quality user experiences. Optimize application performance for speed, scalability, security, and maintainability. Manage deployment processes and CI/CD pipelines on platforms such as AWS, Google Cloud, or Azure. Participate in code reviews, mentor junior developers, and contribute to technical decision-making and architecture discussions. Work closely with stakeholders to ensure alignment between technical solutions and business objectives. Qualifications: Bachelor’s degree in Computer Science, Software Engineering, or a related field. 4+ years of hands-on experience as a Full Stack Developer. Proficient in front-end frameworks like React , Angular , or Vue , and back-end technologies such as Node.js , Python/Django , Flask , or FastAPI . Experience with developing and consuming APIs, integrating third-party services, and working with modern databases (SQL and NoSQL). Hands-on experience with cloud services (AWS, GCP, Azure), containerization (Docker), and CI/CD tools. Solid understanding of version control systems (Git) and agile development methodologies. Strong analytical, communication, and problem-solving skills. Job Type: Full-time Work Location: In person Speak with the employer +91 8056953991

Senior AI Backend Engineer Location: Remote (Brasilia Time UTC-3 or Dubai Time GMT+3 preferred) | Team: Tech team for Product Engineering | Reports to: Founding AI Engineer Seniority: 3 – 5 yrs production experience | Stack: Python / TypeScript / React + LLMs 👋 About Us - Reimagining Venture Building with AI at the Core We're Mundos , the world's first AI-native Venture Builder architecting the next generation of intelligent, high-impact businesses. Unlike traditional incubators or studios, we embed advanced AI capabilities from day zero, transforming how ventures are conceived, built, and scaled globally. We operate at the convergence of visionary strategy and technical execution; identifying opportunities not visible to the naked eye, then rapidly materializing them through our proprietary AI venture building methodology and fast-paced engineering muscle. Working alongside forward-thinking partners across MENA and LATAM, we're not just implementing AI; we're fundamentally rethinking business models around AI's capabilities. While others talk about AI transformation, we're already shipping it: moving with startup velocity but maintaining institutional-grade discipline and quality and seamless user experiences. Our globally distributed team unites serial entrepreneurs, AI researchers, and seasoned operators who share one trait: the ability to translate cutting-edge AI capabilities into tangible business impact. We're seeking a versatile software engineer who thrives in high-velocity environments, ships production-ready code across the full stack , and is eager to help architect the future of AI-powered applications, and grow into an AI-powered engineering team . 👩‍💻 What You’ll Build ● Architect & Build: Create robust RESTful/GraphQL APIs that power both internal tools and customer-facing applications in our venture portfolio ● AI System Architecture: Design and implement scalable AI service architectures, including distributed inference systems, model serving layers, and intelligent caching strategies for LLM workloads ● AI Integration: Implement and optimize RAG pipelines, vector DB integrations, PostgreSQL, Redis, external APIs and LLM orchestration layers that deliver intelligence, not just responses ● System Design Leadership: Collaborate on high-level system architecture decisions, weighing trade-offs between performance, scalability, and cost for AI-powered applications ● Full-Stack Mastery: Own feature development from back-end logic to polished React UIs (TypeScript/Javascript), balancing technical elegance with business velocity ● Team Collaboration: Work directly with our founding AI engineer and senior engineering leadership while mentoring junior talent—we grow together, and deliver fast iterations ● Agile Execution: Drive from sprint planning to deployment, with ownership across the entire development lifecycle. Write clean LLDs and participate in sprint planning, code reviews, and deployment automation ● Infrastructure Evolution: Deploy and manage services using Docker, Kubernetes, and cloud infrastructure (AWS/GCP), with emphasis on scalable AI service deployments 🧠 Your Toolkit ● Production Impact: 3-5 years building software that real users depend on (not just internships or side projects) ● AI Systems Experience: Demonstrated experience architecting and deploying AI services at scale, including model serving, inference optimization, and handling high-throughput AI workloads in production ● System Design Proficiency: Strong system design capabilities with ability to architect distributed systems, design for scalability, and make informed trade-offs between performance, cost, and complexity ● Technical Foundation: Solid understanding of API design principles, database architecture and schema design, and error handling patterns for AI applications ● Data Expertise: Experience with PostgreSQL/MySQL and performance optimization with key-value stores like Redis, particularly for AI workload caching strategies ● Modern Architecture: Hands-on with event-driven systems, message queues (Kafka/RabbitMQ), or serverless functions for AI pipeline orchestration ● AI Fluency: Working knowledge of LLM integration using both closed and open-source models—you understand prompts and parameters, not just APIs ● Frontend Proficiency: Comfort with React hooks, state management solutions (Redux/Zustand), and component libraries that deliver pixel-perfect experiences ● Cloud-Native & DevOps: Familiarity with containerization, Kubernetes experience preferred, CI/CD pipelines, and infrastructure-as-code approaches (GCP, AWS or Azure) ● Ownership Mindset: You don't just build it—you own it, monitor it, and continuously improve and iterate it 🌟 Bonus Points ● AI Engineering Experience: Built or contributed to RAG pipelines, AI agents, LangGraph implementations, or LlamaIndex applications ● Advanced DevOps: Experience with Kubernetes cluster management, Helm charts, service mesh architectures, or GitOps workflows ● AI-Adjacent Projects: Developed chatbots, NLP tools, data pipelines, recommendation systems, or other ML-enhanced applications ● Performance Optimization: Experience with AI model optimization, batch processing, or real-time inference at scale ● Venture Building Spirit: Experience in fast-paced environments where you wear multiple hats and contribute beyond your job description 🌱 Why You’ll Enjoy This Role ● Engineering Excellence: We prioritize robust, maintainable code over glossy demos; real engineering for real business impact ● True Ownership: You won't just be implementing specs; you'll help shape our technical direction and architecture ● Remote-First Culture: Work where and when you're most productive, with async-first communication and results-oriented leadership ● Velocity Without Chaos: We move quickly but deliberately, with proper planning and sustainable pace 💡 Why Join Mundos ● Venture Building DNA: Your code doesn't just ship features; it builds entire businesses that can scale independently ● Small team, huge canvas: your code lands in production within days, not quarters. ● Global Impact: Work on ventures that span multiple markets, cultures, and business models ● Exponential Learning: Exposure to multiple ventures means accelerated growth across domains and technologies ● Founder-Level Opportunities: Early team members grow into leadership roles as our ventures mature ● Competitive Compensation: USD salary, equity (ESOPs) in our venture ecosystem, flexible remote work, and a clearly defined growth trajectory 📬 How to Apply Send the following information to talent@mundos.xyz : Résumé, GitHub (or equivalent), and a short cover letter In three sentences , describe a system you architected and shipped to production that scaled an order of magnitude without downtime. Include one link (PR, blog post, design doc excerpt, or talk) that showcases your system-design thinking. (People from an OSS background like repository maintainers will be our first preference) Incomplete submissions won’t be reviewed —attention to detail is part of the job. Join Mundos to engineer the AI-native ventures that tomorrow’s economy will run on. Let’s build what’s next—today.

Job Requirements Member of the Quality Assurance Team, responsible for developing and improving the quality of a distributed enterprise-level SaaS application. This team member is anticipated to have strong QA process and testing knowledge with good real-time experience in writing code to automate our testing process. Experience level : 5 years of experience Skills & Experience Required: Experience in creation and maintenance of automated test scripts using Cypress or TestCafe or Playwright or Puppeteer or Selenium. Experience in JavaScript/TyeScript and at least one other modern programming language like Java, C# ), Unit testing (NUnit/MsTest/JUnit). Experience in creation and maintenance of automated test scripts for Restful Web Services using any programming language (C#/Java) Experience in testing back-end systems without a GUI and the ability to directly query SQL/MySQL databases. Experience working in a version control system, like GitHub or TFS and Azure Devops. Experience working with DevOps installing, configuring, and integrating Automation scripts on Continuous Integration tools (CI/CD) like Jenkins, GitLab or AWS Code Pipeline.

Job Title: DevOps Engineer Intern Location: Chennai Duration: 3 Months Internship Employment Type: Internship About the Role We are seeking a proactive and enthusiastic DevOps Engineer Intern to join our technology team. This internship offers hands-on experience with cloud platforms, CI/CD pipelines, containerization, and automation tools, preparing you for a successful career in DevOps. Key Responsibilities Assist in setting up and maintaining CI/CD pipelines. Work with cloud platforms (AWS/Azure/GCP) to deploy and manage applications. Support in containerization using Docker and orchestration using Kubernetes. Monitor system performance, identify issues, and help implement solutions. Automate repetitive tasks using scripts (Bash, Python, etc.). Collaborate with developers and operations teams for smooth deployments. Required Skills Basic understanding of Linux/Unix systems. Knowledge of Git and version control systems. Familiarity with cloud platforms (AWS/Azure/GCP) is a plus. Basic understanding of CI/CD tools like Jenkins, GitLab CI, or GitHub Actions. Knowledge of Docker and Kubernetes (preferred but not mandatory). Strong problem-solving skills and eagerness to learn. Educational Qualification Currently pursuing or recently completed a degree in Computer Science, IT, or related field. Relevant certifications or project experience will be an added advantage. Benefits & Learning Opportunities Hands-on experience with modern DevOps tools and practices. Mentorship from experienced DevOps professionals. Opportunity for full-time conversion based on performance. How to Apply: Send your resume to [isabella@digivalsolutions.com] with the subject line: Application – DevOps Engineer Intern . Job Type: Full-time Pay: From ₹8,000.00 per month Work Location: In person

DESCRIPTION Are you interested to work in a team that positively impacts different key pillars of Amazon like Pricing, Promotions, Advertising, Auto inventory purchasing, Auto inventory removal, Inventory placement? Are you interested in working for a team that builds cool systems yet has great work-life balance? As a Support Engineer, you will build systems that secure and govern our data end to end: control access across multiple storage and access layers (like in-house Applications and BI tools), track data quality, catalogue datasets and their lineage, detect duplication, audit usage and ensure correct data semantics. You will be responsible for crunching and providing support for petabytes of in-coming data from dozens of sources and financial events around the company. Key job responsibilities Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services Work on operations and maintenance driven coding projects Software deployment support in staging and production environments Develop tools to aid operations and maintenance System and Support status reporting Ownership of one or more ETL products or components Customer notification and workflow coordination and follow-up to maintain service level agreements Work with support team for handing-off or taking over active support issues and creating a team specific knowledge base and skill sets About the team Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day? We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks. We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining. BASIC QUALIFICATIONS 4+ years of software development, or 4+ years of technical support experience Experience scripting in modern program languages Experience troubleshooting and debugging technical systems Experience in agile/scrum or related collaborative workflow Experience troubleshooting and documenting findings PREFERRED QUALIFICATIONS Knowledge of distributed applications/enterprise applications Knowledge of UNIX/Linux operating system Experience analyzing and troubleshooting RESTful web API calls Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Join us as a Software Engineer - Full Stack at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. To be successful as a Software Engineer - Full Stack, you should have experience with: Experience in Java with a focus on API development and experience in technical leadership. Strong proficiency in Spring Boot and RESTful API design principles, with JPA and ORM concepts. Hands-on experience with MongoDB database. Experience with CI/CD pipelines, preferably using Jenkins, Chef. Knowledge of AWS cloud-based development. Solid understanding of software design patterns and architectural principles. Excellent problem-solving and debugging skills. Strong communication and team management abilities. Experience with agile development methodologies. Some other highly valued skills may include: Creating efficient, scalable Java APIs, Have a proven track record of team leadership, and enjoy driving engineering excellence through innovative solutions and proof of concepts. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Key Responsibilities Architect & Develop : Design, build, and maintain efficient, reusable, and test-driven Laravel code for both new features and legacy refactors. API Engineering : Deliver and iterate on RESTful APIs, applying versioning, rate limiting, serialization, and security best practices. Code Excellence: Write clean, well-documented, and maintainable code adhering to established coding standards and best practices. Performance Optimization: Proactively identify and resolve performance bottlenecks, ensuring optimal application speed, scalability, and responsiveness. Collaborative Development: Work closely with product managers, UX/UI designers, and other stakeholders to translate business requirements into technical specifications and deliver effective solutions. Testing and Quality Assurance : Maintain and enhance comprehensive test coverage using PHPUnit, Pest , or similar testing frameworks to ensure application reliability and stability. Production Support: Debug, analyze, and resolve technical issues reported in production and staging environments promptly and effectively. Continuous Improvement: Participate in code reviews, contribute to architectural discussions, and continuously seek opportunities to improve development processes and tools. Must-Have Qualifications Experience : 3+ years building and maintaining Laravel applications in production. Laravel Expertise : Deep knowledge of Laravel’s MVC architecture, Eloquent ORM, service providers, events and listeners, queues with Redis or SQS, and the Artisan CLI. Database Proficiency : Strong SQL skills with MySQL or PostgreSQL, including schema design, indexing, query optimisation, and migration planning. Version Control: Proficient in using Git and applying best practices for branching, merging, and collaborative development. Background Jobs & Queues : Practical experience running background jobs with Horizon, Supervisor, or equivalent tools to ensure reliable asynchronous processing. Testing Mindset : A habit of creating comprehensive automated tests and a comfort level with test-driven development or, at minimum, rigorous regression coverage. Problem-Solving : Proven ability to identify and resolve complex technical issues and performance bottlenecks in high-traffic web applications. Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts clearly. Agile Delivery : Active participation in Scrum or Kanban ceremonies, including story pointing and backlog grooming, to support predictable delivery. Good-to-Have Skills & Experience Front-End Collaboration : Working knowledge of Vue.js or React.js, Livewire, Vite, TailwindCss and TypeScript that enables smooth collaboration on full-stack deliverables. Cloud & Containers : Hands-on experience deploying applications to AWS, DigitalOcean, or Heroku and working comfortably with Docker or Laravel Sail. DevOps & CI/CD – Familiarity with pipeline tooling (GitHub Actions, GitLab CI, Jenkins) and basic DevOps principles. Micro-services: Understanding of event-driven or service-oriented architectures that use Kafka, RabbitMQ, or AWS SNS/SQS. Observability : Exposure to OpenTelemetry, Grafana, Prometheus, or similar monitoring stacks. AI Tooling : Experience leveraging AI pair-programming tools (e.g., Cursor, GitHub Copilot) to accelerate development. Client Interaction : Confidence in gathering client requirements, demoing features, and providing progress updates directly to stakeholders. Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,000,000.00 per year Benefits: Health insurance Internet reimbursement Provident Fund Work from home Work Location: In person

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences. Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. Game-changers, innovators, culture-lovers—and humankind. We invite discovery and debate. We recognize key moments as milestones. We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference. Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise! General Summary: The AI Research Engineer is responsible for designing and implementing intelligent, scalable AI solutions with a focus on agentic AI, Retrieval-Augmented Generation (RAG) and Modular Cognitive Processes (MCP). This role is ideal for individuals who are passionate about research and development in the space of agentic AI and has demonstrated experience in building complex AI solutions. The research engineer will collaborate with cross-functional teams to deliver high-quality, production-ready AI systems aligned with business goals and technical standards Essential Duties & Responsibilities: Investigate and apply emerging technologies to address complex, non-trivial problems. Oversee the design and development of entire components or subsystems. Build and maintain scalable data pipelines and services to support AI workflows. Develop algorithms and systems for information retrieval, machine learning, information extraction, text categorization, text mining, and related areas within large online delivery environments. Collaborate with product and engineering teams to translate business needs into AI solutions. Debug and optimize AI systems across the stack to ensure performance and reliability. Stay current with emerging AI tools, libraries, and research, and integrate them into projects. Contribute to the development of internal AI standards, reusable components, and best practices. Apply MCP principles to design modular, intelligent agents capable of autonomous decision-making. Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning. Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest. Document technical designs, workflows, and research findings for internal knowledge sharing. Adapt quickly to evolving technologies and business requirements in a fast-paced environment. Knowledge, Skills, and/or Abilities Required: 2–5 years of experience in AI/ML engineering, with a focus on agentic AI. Passion for research and development in the field of agentic AI. Proven experience in building agentic systems and complex AI solutions. Strong Python programming skills with a solid foundation in OOP and software engineering principles. Hands-on experience with AI frameworks such as LangChain, LlamaIndex, Haystack, or Hugging Face. Familiarity with MCP (Modular Cognitive Processes) and their application in agent-based systems. Experience with REST API development and deployment. Proficiency in CI/CD tools and workflows (e.g., Git, Docker, Jenkins, Airflow). Exposure to cloud platforms (AWS, Azure, or GCP) and services like S3, SageMaker, or Vertex AI. Understanding of vector databases (e.g., OpenSearch, Pinecone, Weaviate) and embedding techniques. Strong problem-solving skills and ability to work independently or in a team. Interest in exploring and implementing cutting-edge AI tools and technologies. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Educational/Vocational/Previous Experience Recommendations: Bachelor/ Master degree in CS or related field. 1+ years of relevant experience Location - Pune / Mumbai / Bangalore (Hybrid) ConnectWise is an Equal Opportunity Employer, dedicated to building a diverse and inclusive workforce and providing a workplace free from discrimination and harassment. ConnectWise provides equal employment opportunities to all employees and applicants without regard to race, ethnicity, color, religion, age, sex (including pregnancy), sexual orientation, gender, gender identity or expression, ancestry, national origin, citizenship status, physical or mental disability, genetic information, military/veteran status, marital status, familial or parental status, or any other characteristic or status protected by applicable federal, state and local laws. The statements above are intended to describe the general nature and level of work being performed by individuals assigned to this job. Other duties may be assigned as needed. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job and/or to receive other benefits and privileges of employment. If you need a reasonable accommodation for any part of the application and hiring process, please contact us at talentacquisition@connectwise.com or 1-800-671-6898.

P3-C3-TSTS AWS Data Engineer Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3. Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, SQL, Databricks, and various AWS technologies. Automate repetitive tasks and build reusable frameworks to improve efficiency. Skill AWS Data Engineer - AWS Glue, Amazon Redshift, S3 ETL Process , SQl, Databricks About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

DESCRIPTION Are you passionate about solving business challenges at a global scale? Amazon Employee Services is looking for an experienced Business Analyst to join Retail Business Services team and help unlock insights which take our business to the next level. The candidate will be excited about understanding and implementing new and repeatable processes to improve our employee global work authorization experiences. They will do this by partnering with key stakeholders to be curious and comfortable digging deep into the business challenges to understand and identify insights that will enable us to figure out standards to improve our ability to globally scale this program. They will be comfortable delivering/presenting these recommended solutions by retrieving and integrating artifacts in a format that is immediately useful to improve the business decision-making process. This role requires an individual with excellent analytical abilities as well as an outstanding business acumen. The candidate knows and values our customers (internal and external) and will work back from the customer to create structured processes for global expansions of work authorization, and help integrate new countries/new acquisitions into the existing program. They are experts in partnering and earning trust with operations/business leaders to drive these key business decisions. Responsibilities: Own the development and maintenance of new and existing artifacts focused on analysis of requirements, metrics, and reporting dashboards. Partner with operations/business teams to consult, develop and implement KPI’s, automated reporting/process solutions, and process improvements to meet business needs. Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks. Participate in strategic and tactical planning discussions. Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. Excellent writing skills, to create artifacts easily digestible by business and tech partners. Key job responsibilities Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight Understand the requirements of stakeholders and map them with the data sources/data warehouse Own the delivery and backup of periodic metrics, dashboards to the leadership team Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Operations Analytics managers Perform business analysis and data queries using appropriate tools Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area BASIC QUALIFICATIONS 3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages 1+ years of tax, finance or a related analytical field experience PREFERRED QUALIFICATIONS Experience in Amazon Redshift and other AWS technologies Experience creating complex SQL queries joining multiple datasets, ETL DW concepts Experience in SCALA and Pyspark Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Full Stack AI Engineer Company: Tring AI Location: Chennai Job Type: Full-time About Tring AI Tring AI is an innovative technology company building AI-powered solutions that help businesses automate, scale, and innovate faster. Job Description We are seeking a Full Stack AI Engineer with a minimum of 2+ years of experience to design, develop, and integrate AI-driven applications. The ideal candidate will have a strong background in full-stack development and experience working with AI/ML technologies. Responsibilities Build and maintain full-stack applications integrating AI/ML models. Collaborate with data scientists to deploy AI algorithms into scalable products. Work with APIs, databases, and cloud services to deliver robust solutions. Ensure performance optimization, security, and best coding practices. Requirements Minimum 2+ years of experience in full-stack development. Proficiency in JavaScript/TypeScript , Node.js , and React/Angular/Vue . Experience in Python for AI/ML model integration. Familiarity with cloud platforms (AWS, GCP, or Azure). Knowledge of SQL and NoSQL databases. Bonus: Experience with AI APIs such as OpenAI, LangChain, etc. Benefits Opportunity to work on cutting-edge AI projects. Growth-focused and collaborative work environment. Competitive salary and benefits. Job Types: Full-time, Permanent Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Work from home Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): When can you join us? What would be a comfortable compensation range for you considering your experience and current market standards? Experience: Full Stack: 2 years (Preferred) Work Location: In person

Job Title: QA Engineer – Automation (Selenium, Cucumber) with AI Skills Location: Chennai Employment Type: Full-time Experience: 1–3 years (Automation QA) + Exposure to AI-based testing tools Department: Quality Assurance ______________ About the Role We are looking for a detail-oriented and technically skilled QA Engineer with expertise in Automation Testing using Selenium and Cucumber, and hands-on experience or interest in integrating AI-driven testing solutions. The ideal candidate will have strong analytical skills, a deep understanding of testing methodologies, and a passion for delivering high-quality software products. ______________ Key Responsibilities Design, develop, and maintain automated test scripts using Selenium and Cucumber frameworks. Integrate AI-driven testing tools to enhance test coverage, efficiency, and defect detection. Collaborate with developers, product managers, and business analysts to understand requirements and define test strategies. Perform functional, regression, and performance testing across web and mobile platforms. Analyze and debug test failures, identify root causes, and report defects. Maintain detailed documentation of test plans, test cases, and execution reports. Participate in continuous integration (CI/CD) processes and ensure automated tests are part of the build pipeline. Research and recommend new AI-powered QA tools and approaches to improve testing efficiency. ______________ Required Skills & Experience 3–6 years of experience in Automation Testing. Proficiency in Selenium WebDriver and Cucumber (BDD) framework. Strong programming skills in Java or Python. Hands-on experience with AI/ML-based testing tools (e.g., Testim, Functionize, Mabl) or willingness to learn. Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Solid understanding of software QA methodologies, tools, and processes. Familiarity with API testing (Postman, RestAssured, etc.). Excellent problem-solving skills and attention to detail. ______________ Preferred Qualifications Experience in AI/ML model validation and testing. Exposure to cloud environments (AWS, Azure, or GCP). Knowledge of performance testing tools (JMeter, Gatling). ISTQB Certification or equivalent. ______________ Soft Skills Strong communication and collaboration skills. Analytical and critical thinking. Ability to work independently and in a team environment. Job Types: Full-time, Permanent Pay: ₹278,235.54 - ₹500,000.00 per year Benefits: Health insurance Provident Fund Work Location: In person