5072 Cloud Jobs - Page 4

6+ yrs exp of Cloud QA using test automation tools Selenium, Appium, JMeter. Exp in any cloud , REST Api. Exp with scripting language. knowledge of CI/CD tools. should be available for F2F round (Tin Factory), Bangalore. Ready to work in Start up

We are seeking a highly detail-oriented and technically adept 3D Data Annotation Specialist to join our growing team. This role is critical in shaping high-quality datasets for training cutting-edge AI and computer vision models, particularly in domains such as LiDAR data processing, and 3D object detection. Roles and Responsibilities Qualifications: B.Tech in Computer Science, IT, or related field preferred (others may also apply strong analytical and software learning abilities required). Strong analytical and reasoning skills, with attention to spatial geometry and object relationships in 3D space. Basic understanding of 3D data formats (e.g., .LAS, .LAZ, .PLY) and visualization tools. Ability to work independently while maintaining high-quality standards. Excellent communication skills and the ability to collaborate in a fast-paced environment. Attention to detail and ability to work with precision in visual/manual tasks. Good understanding of basic geometry, coordinate systems, and file handling. Preferred Qualifications: Prior experience in 3D data annotation or LiDAR data analysis. Exposure to computer vision workflows. Comfortable working with large datasets and remote sensing data Key Responsibilities: Annotate 3D point cloud data with precision using specialized tools [ Training would be provided] Label and segment objects within LiDAR data, aerial scans, or 3D models. Follow annotation guidelines while applying logical and spatial reasoning to 3D environments. Collaborate with ML engineers and data scientists to ensure annotation accuracy and consistency. Provide feedback to improve annotation tools and workflow automation. Participate in quality control reviews and conduct re-annotation as needed

Role: AWS DevOps Engineer Skillset: AWS, Terraform, CI/CD Pipeline & Kubernetes (AKS) Experience: 6-8 years Certification: AWS Certified Location: Noida and Chennai Professional Experience in: Cloud-native software architecture (Microservices, Patterns, DDD, ) Working with internal developer platforms such as backstage AWS Platform (Infrastructure, Services, Administration, Provisioning, Monitoring) Managing Kubernetes (AKS) Operations Networking Autoscaling High Availability GitOps based deployments (argocd) Working with basic web technologies (DNS, HTTPS, TLS, JWT, OAuth2.0, OIDC, etc) Container Technology such as Docker Infrastructure as Code via Terraform Experience in: Cloud Monitoring, Alerting, Observability mechanisms e.g. via Elastic Stack Defining, Implementing and Maintaining build and release pipelines -> Continuous Deployment Working with git version control systems Code Collaboration Platforms (AWS DevOps, GitHub) Cloud Security patterns Developing software based on Spring & Spring Boot Preparation of Release and deployment scripts (In test and production environments)

Job Summary As a Principal Engineer in NetApp’s Cloud Service organization, you will lead and execute our most challenging and complex projects. You will be responsible for decomposing complex problems into simple solutions, understanding system interdependencies and limitations, cloud architectures, performance, scalability, enterprise system architecture, engineering best practices, and testing methods. You'll be partnering with our Distinguished Engineers and other leaders in the cloud storage services team, writing/reviewing code, mentoring and developing others, influencing multiple NetApp teams, and making critical technical decisions. You will be crucial in helping NetApp stay ahead of the curve and deliver innovative solutions to our customers. You are expected to have a strong technical point of view, work with our internal and external partners, and earn their trust with empathy. Your ability to communicate clearly with the leaders of the companies and use data to defend your decisions will be crucial for this role. Job Requirements • 15+ years of experience in software/systems engineering. • 5+ years of experience delivering SaaS solutions in one of the major cloud providers. • 5+ years of expert-level hands-on experience in highly scalable cloud architectures, including service-oriented architectures, cloud-native (FAAS, PAAS), and cloud storage services (NOSQL and relational DB, etc.). • Excellent experience building fault-tolerant and high-scale distributed architecture on one of the major cloud providers. • Proactive and self-driven, with strong technical judgment and influential skills. • Ability to influence Directors, VPs, and SVP as a critical technical adviser. • Expertise in providing both architectural guidance and detailed technical direction. • Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Responsibilities • Lead design, architecture, implementation, and delivery of complex software engineering projects in the cloud storage service organization. • Serve as a technical leader on demanding, cross-functional engineering projects • Functionally decompose complex problems into simple, straightforward solutions and fully understand system interdependencies and limitation. • Understand NetApp’s existing systems, their interdependencies, and limitations • Possess expert knowledge in modern cloud architectures, microservices architecture, full stack development, Kubernetes, Golang/C# or another major object-oriented programming language, performance, scalability, enterprise system architecture, and engineering best practices. • Influence multiple internal teams and external partners without authority and with strong empathy. (This is an IC role) • Writing/reviewing code, assist in the career development of others, actively coach and mentor other senior engineers on advanced technical issues • Contribute to building intellectual property through patents. Education Bachelor of Science in Computer Science or Electrical Engineering; or equivalent experience. Masters preferred. Minimum of 15 years of related experience.

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 Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are 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 Skills and Experience •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB •Excellent problem-solving, analytical, and critical thinking skills •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail •Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills and Experience •Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g., AWS Certified Data Analytics– Specialty, Elastic Certified Engineer, Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Experience working with Kafka , ElasticSearch, Kibana & maintaining data lake •Managing interfaces, monitoring for production deployment including log shipping tool. •Experience in updates, upgrade, patches, VA closure, support with industry best tools •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology 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.

So, what’s the role all about? The purpose of this position is to deploy, operate and maintain NiCE’s global customer hosted databases, while also resolving customer issues that require direct access to the database infrastructure, and acting in an appropriate professional working style. The Engineer will report to the Manager, Infrastructure Cloud Operations while acting as part of the Database Team managing the databases in On-Prem data centers and AWS Cloud. How will you make an impact? AWS console administration New deployment tasks for databases & RDS services AWS RDS DB health check & availability checks using tools like CloudWatch and performance Insight. Read & analyse log/error log for Databases Alerts configuration, monitoring alerts and fine-tuning thresholds Perform RDS instance actions and comparison with Terraform code Export/import (Oracle) or backup/restore (SQL Server) specific data Installing/deploying databases, configuring backups, maintenance jobs and other features as needed to support database capacity, performance or product functionality requirements. Performing database administration tasks, including at latest versions of databases. Performing data restores, patchset / service pack installation and deinstallation, edition upgrade and downgrade, troubleshoot locking, corruption issues as well as suggest and implement solutions with minimal downtime Perform operational duties including database backups, application server health, service recycling. Identify and resolve operational issues (e.g. batch failures, network issues, client data feed errors) Experience in Monitor server performance, memory utilization, CPU, file systems, databases, batch jobs, backup and restore concept with best practise. Have a strong skills & experience in Microsoft SQLperformance tuning and queries optimization. Used SQL Profiler, Execution Plan, extended event, Performance Monitor and DBCC Commands. Extensive experience in SQL server high availability solutions- Log shipping, Mirroring, Replication, Clustering and always ON. Prepare, review, test, and execute T-SQL and PowerShell scripts to perform database administrative tasks as assigned. Investigate performance issues, provide and implement tuning solutions Act as part of a global team, creating and extending existing documentation as well as continuously sharing information and assisting on tasks with other team members. Working with monitoring tools Experience providing 24x7 support to production Software as a Service infrastructure, including participating in on-call rota and out of hours/weekend support when needed Have you got what it takes? 12+ Yrs. of experience as DBA in managing multiple DB engines. Hands on experience in multiple versions of Oracle and or MS SQL database is mandatory. Knowledge or experience working in Oracle, Microsoft SQL, Aurora, MySQL, Postgres will be an added advantage. Understand how automated backups are performed by AWS, know how to check the historical backup timings and how to perform ad-hoc snapshot Understanding of ITIL – incidents, service requests, change management Willingness to learn about technologies related to database and backup infrastructure, such as storage, backup, operating system and automation tools, cloud solutions or other database technologies. Demonstrated ability to effectively establish and maintain cooperative working relationships within a global, diverse, multicultural environment. Bachelor or Master’s Degree on Computer science or Information technology streams. You will have an advantage if you also have Basic coding skills in Python, Terraform. NiCE to have knowledge on AWS Cloud, AWS RDS apart from DB technology. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7503 Reporting into: Technical Manager. Role Type: Individual Contributor

Job Summary As a Software Engineer you will work as part of a team of skilled Application engineers accountable for participating in the development, debugging, maintenance & testing. As part of the Research and Development function, system software engineers focus on enhancements to existing products as well as new product development, needing a deep working knowledge of both systems and Kubernetes. Job Requirements Strong programming skills in .Net core, Java and Golang technologies, development using microservices architecture and Kubernetes. Strong in Data Structures and algorithms. Expertise in cloud technologies, containers, orchestration frameworks like Kubernetes. Experience in developing services in any of the major cloud providers preferred. Full Stack developer preferred. Should have a good storage background and understanding of concepts around the same. Should be very versatile with Windows/UNIX OS , its technologies and understanding. Good understanding in REST API design and implementation. Knowledge one of databases (SQL, Oracle or HANA), and UI/UX design Should have participated in all phases of the product development cycle from Requirement understanding, Design, through Implementation and Test design. Should have attained experience and knowledge in solving complex problems. Prior experience in developing high scale and performant systems. Should have strong aptitude to learn new technologies. Should be a good team player. Essential Functions: • A major part of your responsibility will be to apply current skills and use up-to-date technologies to complete projects as part of the development cycle including: • Coding, Design, Development, Debugging, Reliability & Research. • You will participate in technical discussions within the immediate group and across functions, where evaluating and executing design and development plans for products are reviewed. Education • A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master degree, or a PhD; or equivalent experience with 2 to 4 years of experience.

Should have acquired Bachelor’s Degree in Technology / Engineering in Computer Science / Information Technology / Electronics & Communications Engineering (or) Master of Computer Applications (MCA) (or) Master of Science in Computer Science / Information Technology from a reputed Institute. Master’s Degree in Technology / Engineering in preferable. CERTIFICATIONS: Certifications in IT Infrastructure / Hardware / Software / DBMSs / Networks / Virtualizations / Cloud Infrastructures / Cyber Security etc from reputed Organizations / OEMs is an add advantage. Should have a minimum of 15 years of experience in Configuration, Administration & Maintenance of all the Devices related to entire IT Infrastructure ( Data Centre – Servers / Fire Walls / Network and Related Devices / Storage / Cyber Security / Virtual Desktop Infrastructure / Mail Servers / Cloud Hosting ). 5 years of such experience should be in Managerial Cadre. Should have good exposure and experience in Linux & MS-Windows Administration / Oracle, MS-SQL Plus & PostgreSQL DBMSs / DevOps CI/CD Platform preferably GitLab. Excellent written and verbal communication skills, client-interaction, and internal communication skills Roles and Responsibilities Skill set Required: Complete command over Virtualization Concepts like VMWare ,KVM, and Hyper-V etc. Knowledge and experience on Private Cloud -- VMware, OpenStack etc. Experience on DNS, DHCP, NFS, FTP, NPS, NTP, Samba, DFS, Squid Proxy, SNMP,VPN, IPsec VPNs, LDAP and Active Directory. Should have experience on web servers like Apache Tomcat, IIS and should have knowledge on resolving issues at Web Server leveland Data Base level. Experience on data bases like PostgreSQL, Microsoft SQL Server, and Oracle RDBMS. Knowledge on Endpoint Protection, Endpoint DLP& Endpoint Encryption, UTM/NGW Firewalls and Hardware Load Balancers. Should have experience on Software and Hardware server load balancers, Switches & Routers. Should be technical competent to cover components such as Routers, Switches, SAN Switches, VLANs, Load-Balancers, Firewalls, WAN optimization, Routing Protocols, Multicast, QOS, Network Management platforms. This is not an exhaustive list but is intended to demonstrate the complexity and range of components that make up the IT Infrastructure / Network / Data Centre portfolio. Should have knowledge on LAN, WAN, Wireless Networks, Internet Protocol Suite, ISPs, MPLS, Point-to-Point,and Internet Leased Lines. Should have knowledge and experience on Storage, Blade Chassis, Compute Nodes, Enterprise Servers. Should have proven experience in designing and implementing large and complex Computer Network Solutions. Should be able to monitor/identify Network attacks like Passive, Active, Distributed, Insider, Close-in, Phishing, Hijack, Spoof, Buffer overflow, Exploit, Password, Eaves dropping, Data Modification, Identity Spoofing (IP Address Spoofing), Password–Based Attacks, Denial-of-Service, Man-in-the-Middle, Compromised-Key, Sniffer, Application-Layer. Should be able to safeguard the IT Infrastructure with from Cyber attacks by analyzing and mitigating. Good Knowledge in backup technologies and should be able to plan backup schedules & IT Infrastructure Access Management. Roles & Responsibilities: He / she is responsible for 24 X 7 operation of the entire IT Infrastructure. Coordinating, monitoring, and assigning tasks to the team members. Coordinating with the other project managers with respect to the project environment requirements such as hardware and software. Co-ordinating with vendors for payment of regular bill payments etc. Resolving Power Supply issues of IT Infrastructure (LAN and Data Centre, Servers , Systems etc.). IT Infrastructure sizing for hardware requirements. Maintaining IT equipment Audit Record, documenting the Audit,Network/Data Centre Architecture, Assigning Roles and Responsibilities of Team Members; Preparing variety of materials (e.g. reports, memos, letters, procedures, manuals, etc.) for the purpose of documenting activities, providing written reference, and/or conveying in formation. Maintaining record of Licenses, Expiry Dates, AMCsofall IT Infrastructure. Training and guiding the team members on Networks, Servers, Desktops, Projectors, Printers, Wireless Equipment and maintaining sanity in the team. Coordinating with the Managers for smooth flow of processes. Installation and Configuration, Resource Optimization, Delivery Management, Technical Support, Requirement Analysis and IT Infrastructure Management , System Administration, Hardware/Software Troubleshooting. Detailed knowledge at design level of all major components of IT Infrastructure / Network Infrastructure / Data Centre (Layer-2&3andabove limited to Network Virtualization). Handle any dynamic requirements with respect to total CGG IT Infrastructure and works ordered by reporting manager and others Following existing best practices for installation & maintenance of IT Infrastructure. To be awareofthehistory and evolution of IT Infrastructure. Should keep abreast with State-of-the-art technologies in IT Infrastructure. Data Centre Access Management–both Physical and Logical. Coordinating with Vendors/OEMs for resolving the issues in all the IT Infrastructure Data Centre &Disaster Recovery Centre Management, conducting DC-DR drills. Management of Audio Video equipment, Video Conferencing & Collaboration.

So, what’s the role all about? As cloud adoption grows, so does the need to manage its costs effectively. This role is centered around cost optimization in the public cloud—leveraging automation and scripting to identify, design, implement, test, and deploy changes that improve cost efficiency across cloud services. We’re looking for someone with strong development and scripting skills in any of Java/C#/Typescript/Python who can build tools, automate analysis, and streamline cost-control workflows. You will work with data from various sources to uncover cost trends, create actionable insights, and drive tangible improvements in cloud spend. Experience or interest in FinOps (Financial Operations) is a plus. While not required, familiarity with FinOps principles will help you effectively collaborate with engineering and finance teams and contribute to building cost-aware cloud architectures. How will you make an impact? Work as a member of an agile team with a charter for potential cloud cost-savings Design and implement automation solutions—through custom development / scripting and leveraging third-party tools—to monitor, analyze, and optimize AWS resource usage and drive cost optimization efforts. Identify potential cost savings leveraging FinOps practices. Project cost savings, document cost optimization steps, and negotiate prioritization with component teams to implement those cost savings Automate cost optimization practices and processes across pre-production and production AWS environments and evangelize cost-optimization with development teams. Participate in FinOps training to help grow the discipline in the organization. Have you got what it takes? Bachelor's degree in computer science, Business Information Systems or related field or equivalent work experience is required . Experience in one or more of the following software languages: C# .NE T , Java S cript, Type S cript, Java, Python . Strong experience in cloud development on AWS (preferred ) , Azure, or Google Cloud. Proficiency in data analytics tools such as SQL, Python, Excel, Power BI. Ability to translate technical cloud usage into financial insights. Excellent communication and collaboration skills. 8+ years' experience in software development Experience with code versioning (Git, GitLab, TFS, etc.) Experience with system integrations and strong technical problem-solving skills. Working knowledge of agile development methodologies Willingness to learn more about the growing field of FinOps. Prior experience in cloud cost management platforms such as AWS Cost Explorer, Azure Cost Management and other utilities like Tag Editor, Pricing Calculator will be added advantage . What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Requisition ID: 6333 Reporting into: Technical Manager Role Type: Individual Contributor

Roles & Responsibilities: Perform product analysis and development tasks of increasingly complex nature, which may require extensive research and analysis writing tested and documented JavaScript, HTML and CSS. Make design and technical decisions for Angular projects.Develop application code and unit test in Angular, Rest Web Services and Java technologies for the Application Development Centre ensuring high performance.Coordinating the workflow between the UX designer and stake holder. Required Skillset: 6+years Experience with Angular 11+ versions. Bachelor’s degree in computer science or relevant field. Proficiency with Angular 2/4/5/6/7/8/9/10/11, Responsive Web Design using Bootstrap/CSS3/SCSS/LESS/SASS and HTML5 Deep knowledge of Angular practices and commonly used modules based on extensive work experience. Experience in RxJS. Good understanding of AJAX and JavaScript Dom manipulation Techniques. Strong expertise with HTML, CSS, and writing cross-browser compatible code experience with RESTful services. Experience in JavaScript built tools like grunt or gulp. Expert in any one of the modern JavaScript MV-VM/MVC frameworks (Angular, jQuery, NodeJS, Grunt-JS, ReactJS) Ability to provide SEO solutions for single page apps and familiar with testing frameworks. (Ex. Jasmine) Experience in delivering a complete front-end application. Ensuring high performance on mobile and desktop. Critical thinking and problem-solving skills. Experience on Agile/Scrum development. Great interpersonal and communication skills.

Roles & Responsibilities: Perform product analysis and development tasks of increasingly complex nature, which may require extensive research and analysis writing tested and documented JavaScript, HTML and CSS. Make design and technical decisions for Angular projects.Develop application code and unit test in Angular, Rest Web Services and Java technologies for the Application Development Centre ensuring high performance.Coordinating the workflow between the UX designer and stake holder. Required Skillset: 6+years Experience with Angular 11+ versions. Bachelors degree in computer science or relevant field. Proficiency with Angular 2/4/5/6/7/8/9/10/11, Responsive Web Design using Bootstrap/CSS3/SCSS/LESS/SASS and HTML5 Deep knowledge of Angular practices and commonly used modules based on extensive work experience. Experience in RxJS. Good understanding of AJAX and JavaScript Dom manipulation Techniques. Strong expertise with HTML, CSS, and writing cross-browser compatible code experience with RESTful services. Experience in JavaScript built tools like grunt or gulp. Expert in any one of the modern JavaScript MV-VM/MVC frameworks (Angular, jQuery, NodeJS, Grunt-JS, ReactJS) Ability to provide SEO solutions for single page apps and familiar with testing frameworks. (Ex. Jasmine) Experience in delivering a complete front-end application. Ensuring high performance on mobile and desktop. Critical thinking and problem-solving skills. Experience on Agile/Scrum development. Great interpersonal and communication skills.

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Key Responsibilities: Lead the design and implementation of AI/ML solutions across various business domains. Architect end-to-end GenAI solutions, ensuring scalability, reliability, and security. Collaborate with data scientists, engineers, and product managers to translate business requirements into technical solutions. Evaluate and select appropriate AI frameworks, tools, and build core AI framework. Ensure best practices in software engineering, code quality, and system security. Oversee integration of AI models into existing software products and cloud environments. Mentor and guide development teams on AI/ML best practices and software architecture. Stay updated with the latest advancements in AI, ML, and software engineering. Required Qualifications: 8+ years of experience in software development, with at least 3 years in AI/ML solution architecture. Strong programming skills in Python, Java, or similar languages. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Solid understanding of software architecture patterns, APIs, and microservices. Proven track record of delivering complex AI projects from concept to production. Preferred Skills: Experience with MLOps, CI/CD for ML, and containerization (Docker, Kubernetes). Familiarity with data engineering tools (Spark, Kafka, Airflow). Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

As Manager, you will oversee a group of engineers and work with cross-functional teams to build and deliver high quality software for laboratories and hospitals. You will be responsible for leading a team focused on software applications development for software products that meet customer requirements, expected delivery dates, and quality standards in order to meet or exceed the department and companys business objectives. Essential Functions Provides input to product strategy and roadmap deliverables, including assessment/estimates for new features, regulatory requirements, and introduction of new technologies. Manages large to moderate-sized applications software development projects evaluating and taking accountability for progress and results Ensures projects are completed on time and according to corporate quality standards. Prioritizes schedules and allocates resources for software development projects in accordance with the Product Roadmap. Performs or facilitates all aspects of project planning on customer-support related projects, including coordination resources, schedules, task assignment, project milestones, risk assessment, recommendations, and status reporting Promotes a culture that instills a focus on the customer by understanding their needs and delivering value with each interaction. Researches escalations from support when a more technical skill set is required and recommends solutions to customer reported problems. Communicates to other internal departments on the status of resolution to customer issues, participates heavily in the user acceptance process of a new release and developing and delivering resolutions to customer problems as appropriate. All other duties and responsibilities as assigned. Skills needed to be successful This is a techno managerial role around 70% technical and 30% managerial activity. Strong ability to organize, prioritize, make decisions, and drive positive results Proven leadership and people skills including the ability to delegate responsibility effectively and hold people accountable. Demonstrated planning skills to determine and meet departmental objectives. Understanding of software development methodologies and industry accepted software quality standards. Resourcefulness and ability to take the initiative in development and completion of work projects. Superior Ability to work and communicate with clients and other departments in an effective and positive manner Excellent understanding of the business applications deployed in healthcare organizations or the ability to apply unrelated knowledge to the healthcare industry. Successful track record leading or managing major projects in a regulated environment. Required Experience & Education Bachelors degree in Computer Science, Information Science, Software Engineering, related discipline, or equivalent experience. Minimum of 14 years of software development or related experience with proven success at meeting deliverable deadlines at measurable levels of quality. Minimum 4 years’ management experience Preferred Experience & Education Previous experience in bioinformatics or genetics software development. 3 years’ software development experience in a healthcare environment Experience working with a globally dispersed Team Master’s degree in a relevant discipline Preferred technical Skills: Experience in any programming language, .Net stack of technologies highly preferred. Experience in API Testing (ideally RESTful APIs, using http client). Experience in working Agile methodologies. Exposure to Cloud technologies( AWS,AZURE ), DevOps ( CI/CD) Any experience with healthcare sector is highly desirable but not compulsory. Supervisory Responsibilities 5-15 direct reports

We are seeking a Lead Java Engineer to become part of our dynamic team. This role demands an experienced individual with in-depth expertise in Java, Microservices, ReactJS, and Azure. The selected candidate will lead the development of high-performing applications, uphold best practices, and collaborate closely with a skilled team to deliver outstanding solutions. Responsibilities Lead development using Java and Spring Framework, ReactJS, Azure, or other cloud technologies Focus on front-end interfaces with React and modern frameworks such as MFE Build database solutions with PostgreSQL and Oracle to ensure seamless application integration Supervise the containerization of applications and coordinate deployment processes Create robust back-end Microservices and REST APIs Update and optimize existing codebases for improved performance Perform unit testing to ensure reliability and functionality Review code thoroughly to maintain high-quality standards Comply with coding guidelines and engage in continuous integration activities Attend SCRUM meetings and take part actively in agile methodologies Provide project estimates and assist in decision-making during planning stages Mentor team members and encourage a supportive collaborative environment Requirements 8+ years of Java development experience, with a focus on Java 8 and Core Java Proficiency in Spring Boot, Microservices architectures, and design patterns Expertise in ReactJS, TypeScript, JavaScript, HTML5, and CSS3 Competency in Azure or comparable cloud platforms Knowledge of unit testing techniques Understanding of database technologies, preferably SQLServer Background in OO Design, RESTful web services, and coding standards Capability to work with APIs and Microservices architectural principles Qualifications in team or project leadership within professional environments Nice to have Background in financial services with wealth management expertise

About KPI Partners. KPI Partners is a leading provider of data analytics solutions, dedicated to helping organizations transform data into actionable insights. Our innovative approach combines advanced technology with expert consulting, allowing businesses to leverage their data for improved performance and decision-making. Job Description. We are seeking a skilled and motivated Data Engineer with experience in Databricks to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and data processing solutions that support our analytics initiatives. You will collaborate closely with data scientists, analysts, and other engineers to ensure the consistent flow of high-quality data across our platforms. Key skills: Python, Pyspark, Databricks, ETL, Cloud (AWS, Azure, or GCP) Key Responsibilities. - Develop, construct, test, and maintain data architectures (e.g., large-scale data processing systems) in Databricks. - Design and implement ETL (Extract, Transform, Load) processes to move and transform data from various sources to target systems. - Collaborate with data scientists and analysts to understand data requirements and design appropriate data models and structures. - Optimize data storage and retrieval for performance and efficiency. - Monitor and troubleshoot data pipelines to ensure reliability and performance. - Engage in data quality assessments, validation, and troubleshooting of data issues. - Stay current with emerging technologies and best practices in data engineering and analytics. Qualifications. - Bachelor's degree in Computer Science, Engineering, Information Technology, or related field. - Proven experience as a Data Engineer or similar role, with hands-on experience in Databricks. - Strong proficiency in SQL and programming languages such as Python or Scala. - Experience with cloud platforms (AWS, Azure, or GCP) and related technologies. - Familiarity with data warehousing concepts and data modeling techniques. - Knowledge of data integration tools and ETL frameworks. - Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. Why Join KPI Partners? - Be part of a forward-thinking team that values innovation and collaboration. - Opportunity to work on exciting projects across diverse industries. - Continuous learning and professional development opportunities. - Competitive salary and benefits package. - Flexible work environment with hybrid work options. If you are passionate about data engineering and excited about using Databricks to drive impactful insights, we would love to hear from you! KPI Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

About the Role: We are looking for a highly skilled Data Engineering Architect with strong Data Engineering pipeline implementation experience to serve as the lead Solution/Technical Architect and Subject Matter Expert for customer experience data solutions across multiple data sources. The ideal candidate will collaborate with the Enterprise Architect and the client IT team to establish and implement strategic initiatives. Responsibilities and Technical Skills : 12+ years of relevant experience in designing and Architecting ETL, ELT, Reverse ETL, Data Management or Data Integration, Data Warehouse, Data Lake, and Data Migration. Must have expertise in building complex ETL pipelines and large Data Processing, Data Quality and Data security Experience in delivering quality work on time with multiple, competing priorities. Excellent troubleshooting and problem-solving skills must be able to consistently identify critical elements, variables and alternatives to develop solutions. Experience in identifying, analyzing and translating business requirements into conceptual, logical and physical data models in complex, multi-application environments. Experience with Agile and Scaled Agile Frameworks. Experience in identifying and documenting data integration issues, and challenges such as duplicate data, non-conformed data, and unclean data. Multiple platform development experience. Strong experience in performance tuning of ETL processes using Data Platforms Must have experience in handling Data formats like Delta Tables, Parquet files, Iceberg etc. Experience in Cloud technologies such as AWS/Azure or Google Cloud. Apache Spark design and development experience using Scala, Java, Python or Data Frames with Resilient Distributed Datasets (RDDs). Development experience in databases like Oracle, AWS Redshift, AWS RDS, Postgres Databricks and/or Snowflake. Hands-on professional work experience with Python is highly desired. Experience in Hadoop ecosystem tools for real-time or batch data ingestion. Strong communication and teamwork skills to interface with development team members, business analysts, and project management. Excellent analytical skills. Identification of data sources, internal and external, and defining a plan for data management as per business data strategy. Collaborating with cross-functional teams for the smooth functioning of the enterprise data system. Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution. Planning and execution of big data solutions using Databricks, Big Data, Hadoop, Big Query, Snowflake, MongoDB, DynamoDB, PostgreSQL and SQL Server Hands-on experience in defining and implementing various Machine Learning models for different business needs. Integrating technical functionality, ensuring data accessibility, accuracy, and security. Programming / Scripting Languages like Python / Java / Go, Microservices Machine Learning / AI tools like Scikit-learn / TensorFlow / PyTorch

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. At Zscaler, our Customer Success Organization is a global, customer-focused team dedicated to delivering high-impact experiences and identifying innovative solutions. We leverage valuable data and research to provide expert, hands-on support starting from the implementation phase and beyond, ensuring customers achieve their goals and leverage our technology to its fullest potential. Together, we create a customer-centric culture that fosters success, adoption, and continuous growth. We're looking for an experienced Product Support Engineer III - DLP to join our Global Customer Support team. Reporting to the Manager, Product Support you'll be responsible for: Serving as the primary point of contact for escalated DLP issues, providing advanced troubleshooting and resolution for the escalated DLP cases Taking ownership of complex and critical cases, ensuring they are resolved effectively and efficiently Performing detailed root cause analysis to identify underlying issues and implement long-term solutions for the customers Working closely with product development, engineering, and other cross-functional teams to resolve issues and improve Zscaler DLP products and services Maintaining clear and proactive communication with customers throughout the escalation process, providing regular updates and managing expectations What We're Looking for (Minimum Qualifications) Minimum of 7+ years of experience in technical support, with at least 3 years focused on DLP/CASB solutions and escalations Expert knowledge of DLP technologies and tools (e.g., Symantec DLP, McAfee DLP, Forcepoint DLP, etc.) Experience with data loss prevention, securing SaaS and Cloud Access Security Brokers (CASB) Good understanding of Unix/Linux and Windows operating systems Strong understanding of data protection principles and practices What Will Make You Stand Out (Preferred Qualifications) Experience with scripting and automation e.g., Python, PowerShell Knowledge of regulatory requirements and compliance standards (e.g., GDPR, HIPAA, PCI-DSS) Familiarity with ticketing systems and support tools (e.g., ServiceNow, Salesforce, JIRA etc) #LI-Hybrid #LI-RR1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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 Specialists at Kyndryl are project-based subject matter experts in all things infrastructure – good at providing analysis, documenting and diagraming work for hand-off, offering timely solutions, and generally “figuring it out.” This is a hands-on role where your feel for the interaction between a system and its environment will be invaluable to every one of your clients. There are two halves to this role: First, contributing to current projects where you analyze problems and tech issues, offer solutions, and test, modify, automate, and integrate systems. And second, long-range strategic planning of IT infrastructure and operational execution. This role isn’t specific to any one platform, so you’ll need a good feel for all of them. And because of this, you’ll experience variety and growth at Kyndryl that you won’t find anywhere else. As an OpenStack Architect and Engineer, he/she will be responsible for designing, deploying, managing, and optimizing private cloud infrastructure solutions using OpenStack and collaborate with cross-functional teams to ensure high availability, scalability, and performance of the cloud environment, catering to the business's evolving needs. Also troubleshoot issues, automate infrastructure processes, and provide strategic direction for future cloud deployments. Key Responsibilities: 1. Open Source & OpenStack Architecture Design, develop, and implement open-source cloud solutions with OpenStack, Kubernetes, and containerized platforms . Architect highly scalable, secure, and resilient private/public cloud infrastructure aligned with business goals. Integrate open-source tools and frameworks into cloud and on-premises environments. Develop governance models and best practices for open-source adoption. 2. Deployment & Optimization Deploy, configure, and manage OpenStack services (Nova, Neutron, Swift, Glance, Keystone, Cinder). Optimize performance, scalability, and security of open-source architectures . Implement automation, orchestration, and CI/CD pipelines for cloud workloads. 3. Security & Compliance Implement security best practices in open-source environments , including IAM, encryption, and network segmentation. Ensure compliance with industry standards and data protection regulations. Collaborate with security teams to enhance threat detection and mitigation . 4. Cloud Integration & Migration Support hybrid/multi-cloud strategies , integrating OpenStack with AWS, Azure, and Google Cloud . Migrate workloads from legacy systems to open-source cloud platforms . Work with network, storage, and application teams to enable seamless cloud adoption. 5. Collaboration & Mentorship Work closely with developers, DevOps, and infrastructure teams to enable open-source adoption. Mentor and guide junior engineers , ensuring skill development in open-source technologies. Contribute to the open-source community , participating in forums and contributing to projects. Your future at Kyndryl There are lots of opportunities to gain certification and qualifications on the job, and you’ll continuously grow as a Cloud Hyper scaler. Many of our Infrastructure Specialists are on a path toward becoming either an Architect or Distinguished Engineer, and there are opportunities at every skill level to grow in either of these directions. 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 Deep expertise in OpenStack architecture , deployment, and operations. Strong knowledge of Linux administration (RHEL, Ubuntu, CentOS). Proficiency in Kubernetes, Docker, and container orchestration . Hands-on experience with Terraform, Ansible, Puppet, or Chef for automation. Networking expertise with SDN, vLANs, VPNs, and OpenStack Neutron . Experience with Ceph, Swift, and distributed storage solutions . Solid understanding of cloud-native security and IAM frameworks. Proficiency in scripting languages like Python, Bash, or Go . Preferred Technical and Professional Experience Experience with hybrid cloud solutions integrating OpenStack with AWS, Azure, or GCP . Familiarity with DevOps, CI/CD, and GitOps workflows . OpenStack or cloud-related certifications Contributions to open-source projects or active participation in communities. 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.

What you’ll be doing: Assist in developing machine learning models based on project requirements Work with datasets by preprocessing, selecting appropriate data representations, and ensuring data quality. Performing statistical analysis and fine-tuning using test results. Support training and retraining of ML systems as needed. Help build data pipelines for collecting and processing data efficiently. Follow coding and quality standards while developing AI/ML solutions Contribute to frameworks that help operationalize AI models What we seek in you: Strong on programming languages like Python, Java One cloud hands-on experience (GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge Aware of Streaming concepts like Windowing, Late arrival, Triggers etc Storage: CloudSQL, Cloud Storage, Cloud Bigtable, Bigquery, Cloud Spanner, Cloud DataStore, Vector database Ingest: Pub/Sub, Cloud Functions, AppEngine, Kubernetes Engine, Kafka, Micro services Schedule: Cloud Composer, Airflow Processing: Cloud Dataproc, Cloud Dataflow, Apache Spark, Apache Flink CI/CD: Bitbucket+Jenkins / Gitlab, Infrastructure as a tool: Terraform Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Job Summary Participates in reviewing, analyzing, and modifying client/server applications and systems. Job Requirements Develop and maintain integrations between CDM and other systems, such as CRM, order management, and other boundary systems. Customize and extend MDM functionality using Oracle tools, such as Oracle Integration Cloud, Oracle Application Composer, Oracle Visual Builder. Perform data migration activities, including data extraction, transformation, and loading into the MDM system. Conduct unit testing, system testing, and support user acceptance testing for MDM-related developments. Troubleshoot and resolve technical issues related to MDM configuration, customization, and integration. Collaborate with infrastructure, operations and security teams to ensure the availability, performance, and security of the MDM system. Strong technical expertise in Oracle tools and technologies, including Oracle Integration Cloud(OIC),Oracle SQL, PL/SQL, Python and Groovy scripts(or similar scripting language) . Hands-on experience with Oracle ERP Cloud CDM configuration, customization, and extension . In-depth knowledge of data integration techniques, such as web services, REST APIs, Pub-sub and file-based data imports/exports . Familiarity with data migration methodologies and tools, including data extraction, transformation, and loading (ETL) processes. Good to have BI Publisher, OTBI, Product Data Hub, Contact Master and Enterprise Data Management skills . Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience.

Job Summary Should have worked hands-on in setting up ML services on public cloud and delivering ML based solutions. Should have 7 to 10 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services. Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI. Responsibilities Key Responsibilities Research and Development Stay updated on generative AI advancements and methodologies conducting research to explore new techniques and experimenting with cutting-edge frameworks and libraries. Architecture Design Design tailored generative AI systems for specific applications developing scalable architectures leveraging cloud infrastructure and balancing model complexity with practical deployment considerations. Model Development and Training Develop custom generative models using deep learning frameworks training models on large-scale datasets with advanced optimization techniques and fine-tuning parameters to optimize performance metrics. Performance Evaluation and Optimization Evaluate model performance using quantitative and qualitative metrics identifying areas for improvement and optimizing model architectures to ensure efficiency and effectiveness of generative AI solutions. Integration and Deployment Integrate generative AI models into existing systems and applications developing APIs and interfaces for seamless interaction with other components and ensuring compatibility scalability and reliability in production environments. Collaboration and Communication Collaborate with cross-functional teams to understand requirements effectively communicate technical concepts to stakeholders and provide guidance and mentorship to junior team members. Technical Expertise Should have worked hands on in setting up ML services on public cloud and delivering ML based solutions. Should have 3 to 5 years of experience in AI ML and at least 1 year in GenAI leveraging cloud based GenAI services. Should have through knowledge of end-to-end deployment of GenAI solutions to customers cutting across the industry prevalence of GenAI. Should have handson experience in prompt engineering maintaining prompt libraries managing GenAI delivered code filtering avoiding duplicates etc. Should have created large scale PoVs or PoCs and presented to senior client teams. Should be able to define GenAI adoption roadmap for client industries based on their Enterprise needs. #LI-LK1

What’s the role all about? As a Front-End Developer, you will play a key role in developing a multi-region, multi-tenant SaaS product. Working closely with the core R&D team, you'll leverage technologies like Angular, JavaScript, and AWS to build scalable, high-performance user interfaces in a cloud-first, microservices-driven environment. How will you make an impact? Contribute to the software development lifecycle, including design, development, unit testing, and deployment, working closely with QA teams. Ensure the consistent implementation of architectural concepts throughout the development process. Gain a strong understanding of the product’s purpose, requirements, and market needs. Collaborate with cross-functional teams (Product Management, UX, R&D, and DevOps) to ensure seamless integration of features. Key Responsibilities: Develop and implement software features according to product specifications, adhering to design standards (HLD/LLD). Contribute to the development of scalable, multi-tenant SaaS solutions from the front-end. Implement Continuous Integration and Delivery (CI/CD) practices to improve development efficiency. Assist in solving complex technical problems and enhance product functionality through innovative solutions. Participate in code reviews, ensuring adherence to coding standards and best practices. Assist with unit testing to verify functionality and ensure automation coverage. Contribute to the ongoing support and maintenance of software features, addressing issues as needed. Qualifications & Experience: Bachelor’s or master’s degree in computer science, Electronics Engineering, or a related field from a reputed institute. 4-6 years of experience in software development with a strong focus on front-end technologies. 4+ years of expertise in web development frameworks and tools such as Angular, JavaScript , HTML5, CSS3 and TypeScript. Familiarity with RESTful APIs and integrating them into front-end solutions. Exposure to scalable, multi-tenant SaaS solutions, especially in front-end/UI development. Strong understanding of Object-Oriented Analysis and Design (OOAD) and design patterns. Hands-on experience with scalable, multi-tenant SaaS-based solutions, particularly in front-end/UI development. Knowledge about public cloud platforms like AWS, Azure, and GCP. Proficiency in developing solutions that leverage both SQL and NoSQL databases. Familiarity with CI/CD practices and tools like Jenkins. Requisition ID: 7565 Reporting into: Tech Manager Role Type: Individual Contributor