1629 Cloud Platforms Jobs - Page 49

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Location: Pune Job Type: Full Time Experience: 5 to 10 years Company: Web Minds IT Solution Job Summary: We are seeking a highly skilled and experienced Senior Python Backend & Machine Learning Developer to play a pivotal role in designing, developing, and deploying robust backend services and integrating advanced machine learning capabilities into our products. The ideal candidate will possess a strong command of Python, a deep understanding of backend architecture, and practical experience in building, deploying, and maintaining machine learning models in production environments Key Responsibilities: Design, develop, and maintain highly scalable, reliable, and secure backend APIs and services using Python frameworks (e.g., Django, Flask, FastAPI). Work with various databases (SQL, NoSQL) to design efficient data models and ensure data integrity. Implement robust authentication, authorization, and security measures for backend services. Optimize applications for maximum speed and scalability, ensuring low latency and high throughput. Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Implement and manage CI/CD pipelines to streamline software delivery. Develop and deploy RESTful APIs for machine learning models, enabling seamless integration with frontend and other backend systems. Build and maintain robust data pipelines (ETL/ELT) for ML model training, inference, and monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement and manage MLOps practices, including model versioning, monitoring (for drift, performance), retraining pipelines, and deployment automation. Contribute to the selection and integration of appropriate ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Stay updated with the latest trends and advancements in data science, ML, and AI Key Skills Required: Bachelor's degree in Computer Science, Information Technology, or a related field. Familiarity with Python-based frameworks like Flask , FastAPI , or Django Hands-on with deep learning frameworks such as TensorFlow , Keras , or PyTorch Understanding of machine learning algorithms , including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) Strong skills in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) Proficiency in data visualization tools : Matplotlib, Seaborn, Plotly, Power BI , or Tableau Extensive experience with Docker and Kubernetes . Experience working with APIs , web services, and application integration Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud . Excellent problem-solving and troubleshooting skills. Practical experience with ML libraries: Scikit-learn , XGBoost , LightGBM , etc. Proficiency in data manipulation and analysis using NumPy , Pandas , and Matplotlib/Seaborn Strong communication and teamwork skills.

Title : .Net Developer(.net+openshift OR Kubernetes) | 4 to 12 years | Bengaluru & Hyderabad : Assess and understand the application implementation while working with architects and business experts Analyse business and technology challenges and suggest solutions to meet strategic objectives Build cloud native applications meeting 12/15 factor principles on OpenShift or Kubernetes Migrate Dot Net Core and/ or Framework Web/ API/ Batch Components deployed in PCF Cloud to OpenShift, working independently Analyse and understand the code, identify bottlenecks and bugs, and devise solutions to mitigate and address these issues Design and Implement unit test scripts and automation for the same using Nunit to achieve 80% code coverage Perform back end code reviews and ensure compliance to Sonar Scans, CheckMarx and BlackDuck to maintain code quality Write Functional Automation test cases for system integration using Selenium. Coordinate with architects and business experts across the application to translate key Required Qualifications: 4+ years of experience in Dot Net Core (3.1 and above) and/or Framework (4.0 and above) development (Coding, Unit Testing, Functional Automation) implementing Micro Services, REST API/ Batch/ Web Components/ Reusable Libraries etc Proficiency in C# with a good knowledge of VB.NET Proficiency in cloud platforms (OpenShift, AWS, Google Cloud, Azure) and hybrid/multi-cloud strategies with at least 3 years in Open Shift Familiarity with cloud-native patterns, microservices, and application modernization strategies. Experience with monitoring and logging tools like Splunk, Log4J, Prometheus, Grafana, ELK Stack, AppDynamics, etc. Familiarity with infrastructure automation tools (e.g., Ansible, Terraform) and CI/CD tools (e.g., Harness, Jenkins, UDeploy). Proficiency in Database like MS SQL Server, Oracle 11g, 12c, Mongo, DB2 Experience in integrating front-end with back-end services Experience in working with Code Versioning methodology as followed with Git, GitHub Familiarity with Job Scheduler through Autosys, PCF Batch Jobs Familiarity with Scripting languages like shell / Helm chats modules" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Hello Visionary! We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make a great addition to our vibrant team. We are looking for Senior SAP BTP DevOps Engineer . Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environmentWhat is the user story based onImplementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world. Join our Digitalization Technology and Services (DTS) team based in Bangalore. You’ll make a difference by: Designing and implementing CI/CD pipelines using GitLab for SAP BTP and CAP applications Establishing infrastructure as code practices using Terraform/Terragrunt Automating deployment processes ensuring zero-downtime deployments Managing and optimizing cloud infrastructure on SAP BTP and AWS Implement monitoring, logging, and alerting solutions Providing technical leadership in DevOps best practices Collaborating with development teams to improve delivery processes Collaborating with infrastructure teams on automation of infrastructure provisioning. Collaborating with product teams to develop, maintain, and create new processes, procedures, and concepts. Maintaining tools and technologies utilized in DevOps processes. Troubleshooting DevOps systems and solve problems across platforms and application domains. Suggesting architectural, procedural, and systematic improvements based on empirical evidence. Taking strong initiatives and highly result oriented Job / Skills: 5-8 years of professional experience in software development and DevOps Strong expertise in: SAP BTP administration and deployment GitLab CI/CD pipelines Terraform/Terragrunt Infrastructure as Code (IaC) Cloud platforms (SAP BTP, AWS) PowerShell and CLI tools REST APIs Monitoring and logging tools Experience in implementing and operating AWS solutions and services with high availability, scalability, and performance Experience with building, deploying, and configuring SAP BTP, Python, Java and Angular applications Experience with CI/CD tools that build, package, and deploy applications (e.g., GitLab, Jenkins, Octopus Deploy, NuGet, Sonar) Experience with infrastructure automation tools preferred (e.g., Ansible, Terraform, PowerShell DSC). Experience in architecting serverless applications with AWS Lambda with Python Experience administering Windows Servers in production environments. Excellent command over English in written, spoken communication and strong presentation skills. Experience in Jira, Confluence or any other ALM tool will be an added advantage. Good at communicating within the team as well as with all the stake holders Strong customer focus and good learner. Highly proactive and team player Create a better #TomorrowWithUs! This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow. At Siemens, we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens herewww.siemens.com/careers/digitalminds

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make a great addition to our vibrant international team. We are looking forLead Test Design Engineer – (Performance Test Engineer IoT SaaS Application), You’ll make an impact by Design and execute performance testing strategies for large-scale IoT applications on AWS, focusing on scalability, reliability, and real-time data processing. Lead performance testing initiatives for cloud-to-device communication, ensuring optimal response times and system stability under varying loads. Develop automated performance testing frameworks using tools like JMeter or K6 for IoT workloads and AWS services. Analyze and report on system bottlenecks, resource utilization, and performance metrics across AWS services. Create and maintain performance benchmarks for IoT device connectivity, data ingestion, and processing capabilities. Ensure that the delivery conforms to organization and project quality requirements. Use your skills to move the world forward! B.E./ B. Tech /M.E./ M. Tech/MCA/MSc Computer Science Knowledge and Experience. 7+ years of performance testing experience with 3+ years in IoT/Cloud platforms. Strong expertise in performance testing tools and AWS performance monitoring. Experience with IoT protocols (MQTT, HTTPS) testing and large-scale device simulation. Knowledge of AWS IoT services and cloud architecture performance patterns. Proficiency in performance test automation, data analysis, and reporting. Experience in capacity planning, bottleneck analysis, and performance optimization techniques. Experience in the electrical domain will add weightage. Good knowledge and experience in Agile/DevOps practices. Ability to effectively communicate, influence, and interact with various partners . Create a better #TomorrowWithUs! This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at www.siemens.com/careers Find out more about the Digital world of Siemens here www.siemens.com/careers/digitalminds

Hello Visionary! We know that the only way a business thrive is if our people are growing. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you We are looking for a Golang Developer. You’ll make a difference by: Being proficient in Designing, developing, and maintaining robust backend services using Go, including RESTful APIs and microservices. Being proficient in Develop and maintain automated unit and integration tests to ensure feature reliability and performance. Adhering to established quality processes to support the project in achieving its quality objectives. Investigating and debugging reported software defects effectively, demonstrating strong problem-solving skills. Communicating clearly and professionally across various levels—within the team and across groups—both verbally and in writing, including emails, presentations, and technical documentation. You’ll win us over by: Holding a graduate BE / B.Tech / MCA/M.Tech/M.Sc with good academic record. 3-6 Years of Experience in software development with a strong focus on Go (Golang). Working experience in building and maintaining production-grade microservices and APIs. Strong grasp of cloud platforms (AWS) including services like Lambda, ECS and S3. Hands-on experience with CI/CD, Git, and containerization (Docker). Familiarity with distributed systems, message queues, and API design best practices. Having Experience with observability tools for logging, monitoring, and tracing. Passion for innovation and building quick PoCs in a startup-like environment. Personal Attributes: Excellent problem-solving and communication skills, able to articulate technical ideas clearly to stakeholders. Adaptable to fast-paced environments with a solution-oriented, startup mindset. Proactive and self-driven, with a strong sense of ownership and accountability. Actively seeks clarification and asks questions rather than waiting for instructions. Create a better #TomorrowWithUs! This role, based in Pune, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future. At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about Siemens careers atwww.siemens.com/careers

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make a great addition to our vibrant international team. We are looking forSoftware Test Architect, You’ll make an impact by Test Strategy & Architecture Define and evolve the overall test strategy, architecture, and roadmap for complex software systems. Develop scalable and maintainable test automation frameworks and tools across multiple platforms (web, mobile, APIs, cloud). Establish best practices for test design, automation, performance testing, and non-functional testing. Identify and implement tools for CI/CD pipeline integration with testing. Leadership & Collaboration Collaborate with product managers, developers, and DevOps to integrate quality across the SDLC. Mentor and guide test engineers and software developers in test automation and best practices. Lead technical reviews of test automation code and architecture. Quality Governance Drive quality metrics and KPIs, and ensure quality gates are met across projects. Implement strategies for early defect detection and prevention. Influence the culture of quality within the engineering organization. Continuous Improvement Evaluate emerging technologies and trends in test automation, AI-based testing, and QA tooling. Conduct proof-of-concept initiatives and lead the adoption of new tools and techniques. Continuously improve the test process and efficiency of QA practices. Use your skills to move the world forward! Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 10+ years of experience in software testing, with at least 3-5 years as a Test Architect or Lead Test Engineer. Strong experience designing and implementing test automation frameworks. Proficiency with test automation tools (e.g., Playwright ,Selenium, Appium, Cypress, , TestNG, JUnit, REST Assured). Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions). Strong knowledge of cloud platforms (AWS, Azure, GCP) and microservices architecture. Expertise in performance testing tools (e.g., JMeter, Gatling) and non-functional testing. Proficient in programming/scripting languages (e.g., Java, Python, JavaScript). Familiarity with modern development practices such as Agile, DevOps, TDD, and BDD. Strong analytical, problem-solving, and communication skills. Experience working in global, distributed teams is a plus. Create a better #TomorrowWithUs! This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at www.siemens.com/careers Find out more about the Digital world of Siemens here www.siemens.com/careers/digitalminds

Role Overview We are seeking a highly experienced Project Manager (PMP Certified) to lead the implementation of our solutions for large, global life sciences clients. The ideal candidate will have a strong background in managing digital transformation projects within structured yet complex enterprise environments, working with mature and demanding customer teams. As the Project Manager, you will be responsible for ensuring successful delivery of projects - from kickoff through go-live - managing all aspects of scope, schedule, risk, communication, and stakeholder alignment. A strong appreciation for enterprise technologies - including SAP , cloud-native platforms , and the evolving role of AI in business processes - is essential to effectively lead and align cross-functional teams and client stakeholders. Key Responsibilities Lead end-to-end implementation projects with large pharmaceutical and biotech companies across global geographies. Define project scope, objectives, and deliverables in alignment with client expectations and internal capabilities Develop and maintain detailed project plans, track progress, and proactively manage risks and dependencies Serve as the primary point of contact for client stakeholders throughout the project lifecycle Collaborate with product, QA, engineering, and operations teams to ensure timely and high-quality delivery Facilitate communication across global time zones and manage expectations in high-stakes environments Conduct project retrospectives and contribute to process improvement initiatives Required Qualifications PMP Certification is mandatory Minimum of 10 years of experience in project management, with at least 5 years managing digital transformation initiatives Proven track record of delivering enterprise software/SaaS projects in structured but complex environments Experience working with life sciences or highly regulated industries is preferred Understanding and appreciation of technologies such as SAP , cloud-based platforms , and AI-driven tools Exceptional communication, negotiation, and stakeholder management skills Self-driven and comfortable in a fast-paced, fully remote work environment Willingness to work flexible hours to accommodate US East Coast and European time zones Why Join Collabrix? Be part of a company that is redefining collaboration in the life sciences space Work alongside a world-class founding team and a global, high-performing remote workforce Enjoy autonomy, flexibility, and the opportunity to create impact at scale Competitive compensation, performance bonuses, and growth opportunities To Apply: Please send your resume and a short cover note to people@collabrix.co with the subject line "Project Manager Application" .

As a python cloud development engineer you will Design, development and testPower Private Cloud software. Able to understand the architecture and turn the requirements into high level and low level designs Active open source contributions and participation and open source tools knowledge is preferred Software development in Cloud Domain, OpenStack,Virtualization, Linux OS Internals, Networking / Storage/ Security / Infrastructure as a Service is preferred Understanding of any cloud based virtualization software [GCP, Azure] and Openstack concepts. Work with OpenSource community and contribute towards open source development. Good understanding and hands on with full stack cloud development is preferred. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience working as a developer well versed with feature enablement on private/public cloud platforms or in an equivalent role supporting partners and enterprises 4+ years of experience with solutions development or implementation in Unix or Linux environments using python programming language. 2+ years of experience working with Ansible [ Nice to have ]. Proficient in Python programming and scripting experience and Openstack concepts. Experience working in Open Source communities is a big plus. Proven experience architecting, designing, and developing complex customer solutions in a rapidly evolving technology domain Ability to perform customer-facing activities in a fast-paced environment with short timeframes Experience with concepts of Openstack cloud computing platform. Ability to uncover business challenges and develop custom solutions to solve these challenges Preferred technical and professional experience Hands-on experience on Openstack based clouds, basic concepts of virtualization, strong with Python programming, automation using Ansible Working knowledge of object-oriented design and design patterns applicable to modern software development Applied knowledge of working with agile, scrum, and DevOps teams Clear understanding of cloud service and deployment models Comfortable working with highly distributed teams, including interaction with open source communities Ability to study on your own, learn quickly, and put new knowledge into practice Any commercial experience with technologies like Openstack, virtualization and public cloud services, e.g., Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Ability to quickly learn new technologies, frameworks, and techniques; ability to facilitate technical conversations within your team and with external stakeholders Keen interest contributing to and building communities in open source Ability to work both on your own and as part of an agile team.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, development, and maintenance of scalable web applications using the Flask framework. The ideal candidate will possess a strong background in backend development, unit testing, API documentation with Swagger, version control using Git, and proficiency in both SQL and NoSQL databases. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Backend Development:Lead the design and implementation of server-side logic using Python and Flask to create efficient and scalable web applications.- API Development & Documentation:Develop and maintain RESTful APIs, ensuring smooth integration with front-end components and third-party services. Document APIs using Swagger/OpenAPI specifications.- Database Management:Design and manage relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, ensuring data integrity and performance optimization.- Unit Testing:Implement Test-Driven Development (TDD) practices by writing and maintaining unit tests using frameworks like PyTest or unittest to ensure code quality and reliability.- Version Control:Utilize Git for version control, including branching, merging, and pull requests, following best practices for collaborative development.- Security Implementation:Apply best practices to secure applications, including data protection and user authentication mechanisms.- Performance Optimization:Identify bottlenecks and optimize applications for maximum speed and scalability.- Collaboration:Work closely with front-end developers, product managers, and other stakeholders to deliver high-quality software solutions.- Code Quality:Write clean, maintainable, and well-documented code; participate in code reviews to maintain high-quality standards.- Deployment & CI/CD:Manage application deployments and work within a DevOps environment to implement Continuous Integration/Continuous Deployment (CI/CD) pipelines.- Agile Practices:Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), with a strong focus on Flask.- Proficiency in Flask; experience with Django is a plus.- Solid understanding of SQL and experience with database management systems like PostgreSQL, MySQL, or MongoDB.- Familiarity with version control systems such as Git.- Strong experience with unit testing frameworks like PyTest or unittest; familiarity with TDD practices.- Experience in documenting APIs using Swagger/OpenAPI specifications.- Familiarity with cloud platforms (e.g., AWS, Azure) and containerization tools (e.g., Docker) is desirable. Additional Information:- The candidate should have minimum 7.5 years of experience in Python (Programming Language).- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Build, execute, deploy and monitor campaigns using Adobe Campaign in multiple channels, including email, SMS, digital, and direct mail Provide forecasted volumes in campaign requirement sessions understand JS in Adobe Campaigns and APIs Apply business rules, inclusions, exclusions and guide segmentation. Collaborate with client team to set up email, and SMS creatives using standard templates in Adobe Campaign Classic. Coordinate with the Client stakeholders to receive campaign files, validate HTML is rendering accurately in the Adobe Campaign template and personalization attributes are correct. Perform QA on audience and creative to ensure the right customers are receiving the correct campaign content and the defined mandatory checks for all email creatives are completed before scheduled/manual deployments. Perform Audience file validation against the specific creative to confirm correct set of customers is receiving the campaign. Perform checks on the creative for design, layout and preview with the actual populated data. Perform rendering validation across multiple operating systems and device types Scheduling and launching campaigns after all QC steps are performed. Track deployment details and schedules per requirements. Report bounces, undeliverable, unsubscribes and invalid email addresses and maintain a list of undeliverable emails and perform checks against the list prior to each deployment High-level understanding of databases from Customer data to Campaign data level Understanding of data flows and ETL/workflow schedules Hands-on experience in SQL, Oracle, or another relational database for building package triggers Monitoring system health, providing input for the application server and providing database server clean-up activities Monitor automated campaigns Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate or postgraduate with 5 to 8 years of relevant work experience in marketing automation/ marketing cloud platforms and digital marketing with certification in Adobe Campaign Business Practitioner level. Adobe, SQL, MS Office Project management skills by collaborating with key stakeholders.

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

As a python cloud development engineer you will Design, development and testPower Private Cloud software. Able to understand the architecture and turn the requirements into high level and low level designs Active open source contributions and participation and open source tools knowledge is preferred Software development in Cloud Domain, OpenStack,Virtualization, Linux OS Internals, Networking / Storage/ Security / Infrastructure as a Service is preferred Understanding of any cloud based virtualization software [GCP, Azure] and Openstack concepts. Work with OpenSource community and contribute towards open source development. Good understanding and hands on with full stack cloud development is preferred. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience working as a developer well versed with feature enablement on private/public cloud platforms or in an equivalent role supporting partners and enterprises 4+ years of experience with solutions development or implementation in Unix or Linux environments using python programming language. 2+ years of experience working with Ansible [ Nice to have ]. Proficient in Python programming and scripting experience and Openstack concepts. Experience working in Open Source communities is a big plus. Proven experience architecting, designing, and developing complex customer solutions in a rapidly evolving technology domain Ability to perform customer-facing activities in a fast-paced environment with short timeframes Experience with concepts of Openstack cloud computing platform. Ability to uncover business challenges and develop custom solutions to solve these challenges Preferred technical and professional experience Hands-on experience on Openstack based clouds, basic concepts of virtualization, strong with Python programming, automation using Ansible Working knowledge of object-oriented design and design patterns applicable to modern software development Applied knowledge of working with agile, scrum, and DevOps teams Clear understanding of cloud service and deployment models Comfortable working with highly distributed teams, including interaction with open source communities Ability to study on your own, learn quickly, and put new knowledge into practice Any commercial experience with technologies like Openstack, virtualization and public cloud services, e.g., Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Ability to quickly learn new technologies, frameworks, and techniques; ability to facilitate technical conversations within your team and with external stakeholders Keen interest contributing to and building communities in open source Ability to work both on your own and as part of an agile team.

Position Summary: We are seeking an experienced and highly skilled Lead LogicMonitor Administrator to architect, deploy, and manage scalable observability solutions across hybrid IT environments. This role demands deep expertise in LogicMonitor and a strong understanding of modern IT infrastructure and application ecosystems, including on premises, cloud-native, and hybrid environments. The ideal candidate will play a critical role in designing real-time service availability dashboards, optimizing performance visibility, and ensuring comprehensive monitoring coverage for business-critical services. Role & Responsibilities: Monitoring Architecture & Implementation Serve as the subject matter expert (SME) for LogicMonitor, overseeing design, implementation, and continuous optimization. Lead the development and deployment of monitoring solutions that integrate on premise infrastructure, public cloud (AWS, Azure, GCP), and hybrid environments. Develop and maintain monitoring templates, escalation chains, and alerting policies that align with business service SLAs. Ensure monitoring solutions adhere to industry standards and compliance requirements. Real-Time Dashboards & Visualization Design and build real-time service availability dashboards to provide actionable insights for operations and leadership teams. Leverage Logic Monitor’s APIs and data sources to develop custom visualizations, ensuring a single-pane-of-glass view for multi-layered service components. Collaborate with applications and service owners to define KPIs, thresholds, and health metrics. Proficient in interpreting monitoring data and metrics related to uptime and performance. Automation & Integration Automate onboarding/offboarding of monitored resources using LogicMonitor’s REST API, Groovy scripts, and Configuration Modules. Integrate LogicMonitor with ITSM tools (e.g., ServiceNow, Jira), collaboration platforms (e.g., Slack, Teams), and CI/CD pipelines. Enable proactive monitoring through synthetic transactions and anomaly detection capabilities. Streamline processes through automation and integrate monitoring with DevOps practices. Operations & Optimization Perform ongoing health checks, capacity planning, tools version upgrades, and tuning monitoring thresholds to reduce alert fatigue. Establish and enforce monitoring standards, best practices, and governance models across the organization. Lead incident response investigations, root cause analysis, and post-mortem reviews from a monitoring perspective. Optimize monitoring strategies for effective resource utilization and cost efficiency. Qualification Minimum Educational Qualifications: Bachelor’s degree in computer science, Information Technology, Engineering, or a related field Required Skills & Qualifications: 8+ years of total experience. 5+ years of hands-on experience with LogicMonitor, including custom DataSources, Property Sources, dashboards, and alert tuning. Proven expertise in IT infrastructure monitoring: networks, servers, storage, virtualization (VMware, Nutanix), and containerization (Kubernetes, Docker). Strong understanding of cloud platforms (AWS, Azure, GCP) and their native monitoring tools (e.g., CloudWatch, Azure Monitor). Experience in scripting and automation (e.g., Python, PowerShell, Groovy, Bash). Familiarity with observability stacks: ELK, Grafana, is a strong plus. Proficient with ITSM and incident management processes, including integrations with ServiceNow. Excellent problem-solving, communication, and documentation skills. Ability to work collaboratively in cross-functional teams and lead initiatives. Preferred Qualifications: LogicMonitor Certified Professional (LMCA and LMCP) or similar certification. Experience with APM tools (e.g., SolarWinds, AppDynamics, Dynatrace, Datadog) and log analytics platforms and logicmonitor observability Knowledge of DevOps practices and CI/CD pipelines. Exposure to regulatory/compliance monitoring (e.g., HIPAA, PCI, SOC 2). Experience with machine learning or AI-based monitoring solutions. Additional Information Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Experience with cloud technologies, such as AWS in using AWS IAM, VPC, KMS, Secrets Manager services and AWS Certified Security Specialty Experience with cloud technologies, such as AWS, Azure, or GCP Prior experience working with Phone/Voice authentication technologies Neustar Authenticator/Account link experience Nice Engage/RTA experience Previous experience in planning and managing IT projects Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing. Participate in efforts related to designing, planning, enhancing, and testing all cybersecurity technologies used in managing external client authentication. Other contact center experience like Genesys, Avaya, and Cisco cubes could be considered as well. Any voice experience in the contact center space such as Sip, Session Boarder Controllers, Cisco, AWS WebRTC Phones, Google Voice.

We are seeking a Senior Python DevOps Engineer to develop Python services and build CI/CD pipelines for AI/data platforms. Must have strong cloud, container, and ML workflow deployment experience. Required Candidate profile Experienced Python DevOps engineer with expertise in CI/CD, cloud, and AI platforms. Skilled in Flask/FastAPI, Airflow, MLFlow, and model deployment on Dataiku and OpenShift.

We are seeking a skilled Big Data Engineer to design, build, and maintain scalable big data processing pipelines. The ideal candidate will be proficient in Python and PySpark, have hands-on experience with cloud platforms, and be familiar with CI/CD processes to automate deployments and workflows. Responsibilities: Develop and maintain data pipelines using Python and PySpark. Design and implement scalable big data solutions on cloud platforms (AWS, Azure, or GCP). Build and manage CI/CD pipelines for automated deployment and testing. Collaborate with data scientists, analysts, and other engineers to deliver robust data infrastructure. Optimize data processing workflows for performance and reliability. Key Skills: Python PySpark Cloud platforms: AWS / Azure / GCP (any one or more) CI/CD pipelines and tools

Key Responsibilities: AI/ML Architecture & Development Architect and implement end-to-end AI/ML solutions using Gen AI and LLMs tailored to business use cases. Design, fine-tune, and deploy large language models such as OpenAI GPT-4o, Gemini, Claude, LLaMA 3.2, and Phi. Build and scale production-ready applications using frameworks like FastAPI, Django, or similar. Develop, maintain, and optimize MLOps pipelines for automated model training, deployment, monitoring, and governance. Generative AI & NLP Expertise Lead the development and integration of generative AI models for applications including summarization, Q&A, sentiment analysis, and translation. Apply NLP and deep learning to enhance performance and reliability of models for complex user interactions. Engage in prompt engineering, vector DB integration, and fine-tuning using Azure OpenAI Service or equivalent platforms on AWS/GCP. System Design & Integration Collaborate closely with data engineering teams to build and manage scalable, cloud-native solutions. Design and deploy event-driven architectures and real-time data processing systems. Work with microservice architectures, containerization tools (Kubernetes, Docker), and cloud platforms (Azure/AWS/GCP). Frameworks & Tooling Use advanced frameworks like LangChain, LlamaIndex, Semantic Kernel, and AutoGen to build scalable LLM applications. Work extensively with data processing tools such as Apache Spark, TensorFlow, PyTorch, Pandas, and Scikit-learn. Technical Leadership Lead cross-functional AI teams and mentor junior engineers and data scientists. Establish and enforce development standards, best practices, and code quality benchmarks. Stay up-to-date with research and contribute to open-source initiatives where applicable. Project & Stakeholder Management Interface with business stakeholders to understand requirements, define AI/ML strategies, and deliver impactful solutions. Handle multiple engagements simultaneously while ensuring timely and high-quality project delivery. Support pre-sales and solutioning efforts including RFPs, RFIs, and client presentations. Required Qualifications: Proven expertise in designing and implementing LLM-based and Gen AI solutions. Hands-on experience with OpenAI, Claude, Gemini, LLaMA 3.2, Phi, and other foundational/open-source models. Strong command over NLP, deep learning, predictive analytics, and data modeling. Proficiency in cloud platforms (Azure preferred; AWS/GCP also acceptable), especially cloud-native and AI tools. Experience with distributed systems, APIs, event-driven architecture, and real-time data streaming. Solid experience with DevOps tools including Azure DevOps, MLflow, or other MLOps platforms. Strong understanding of user interaction patterns with large datasets and search systems. Knowledge of vector databases and semantic search (e.g., Pinecone, FAISS, Weaviate, etc.). Preferred Attributes: Demonstrated success leading AI projects from conception to deployment. Strong business acumen with ability to map AI solutions to business needs. Excellent problem-solving, communication, and collaboration skills. Experience working in Agile environments and managing multi-disciplinary teams.

Title: Sr. System Engineer Location: Gurgaon, India Job Description Who We Are: Fareportal is a travel technology company powering a next-generation travel concierge service. Utilizing its innovative technology and company owned and operated global contact centers, Fareportal has built strong industry partnerships providing customers access to over 600 airlines, a million lodgings, and hundreds of car rental companies around the globe. With a portfolio of consumer travel brands including CheapOair and OneTravel, Fareportal enables consumers to book-online, on mobile apps for iOS and Android, by phone, or live chat. Fareportal provides its airline partners with access to a broad customer base that books high-yielding international travel and add-on ancillaries. Fareportal is one of the leading sellers of airline tickets in the United States. We are a progressive company that leverages technology and expertise to deliver optimal solutions for our suppliers, customers, and partners. FAREPORTAL HIGHLIGHTS: Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 600 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. Role Overview Are you a Sr. Systems Engineer looking for a company that is building industry leading hybrid cloud technologies? Fareportal is a hybrid travel agency with a commitment to the very best customer experience through any channel our customers want to use. The Systems Engineer will help Fareportal drive a world class infrastructure supporting an omnichannel, Customer Travel experience through our unique blend of web, mobile, voice, chat, and API economy infrastructure. We are looking for someone to help us take our infrastructure, IaaS, and hybrid cloud capabilities to the next level, with heavy automation of infrastructure components built from best practice components. This position will be based out of Gurgaon (work from office) We will need you to: Responsibilities: 1. System Design and Implementation: Design, implement, and manage virtualized solutions (e.g. Hyper-V, VMWare, Open hypervisor) ensuring alignment with business needs and industry standards. 2. Technical Expertise: Serve as the primary technical authority for Microsoft (server), HPE (Blade server, Logical Enclosure, OneView, Composer Clustering etc.) and Hypervisor technologies. Additionally, good understanding of storage technologies (SAN, NAS, Blob etc.) 3. Systems Integration: Facilitate the integration of storage solutions with Hyper-V hypervisor and server environments. Collaborate with cross-functional teams to ensure seamless interoperability and optimal performance. 4. Infrastructure Service: Good understanding of infrastructure services like AD, LDAP, Radius, DC, Proxy, DNS, SMTP, SFTP 5. Performance Optimization: Monitor and optimize System and storage performance, capacity, and reliability. Implement strategies to enhance performance and efficiency across Dell, HPE, and Hitachi storage environments, considering Hyper-V hypervisor and server configurations. 6. Troubleshooting and Support: Investigate and resolve complex storage-related issues, including those related to Hyper-V hypervisor and servers. Provide technical support and guidance to internal teams and vendor support personnel to ensure timely issue resolution. 7. Capacity Planning and Scalability: Conduct capacity planning assessments to forecast storage growth and anticipate future needs. Recommend and implement scalable solutions to accommodate business growth and evolving requirements, considering Hyper-V hypervisor and server workloads. 8. Security and Compliance: Ensure storage solutions comply with security standards and regulations. Implement access controls, encryption, and other security measures to protect data integrity and confidentiality. Apply knowledge of Hyper-V hypervisor and server security best practices. 9. Documentation and Training: Maintain up-to-date documentation of storage and systems configurations, procedures, and policies. Provide training and knowledge transfer to IT staff on storage technologies, Hyper-V hypervisor, and server configurations. 10. Vendor Management: Evaluate and select storage vendors and products from Dell, HPE, and Hitachi based on business requirements and technical specifications. Manage vendor relationships and coordinate support activities as needed. Required Qualifications/Skills BE/B. Tech in Computer Science, Information Technology, or related field Minimum 5 Years experience in designing, implementing, and managing virtualized system solutions from HPE environments. Systems Administration : Proficiency in managing and maintaining server infrastructure, including operating systems (e.g., Windows Server, Linux). Storage Administration : Expertise in configuring, optimizing, and troubleshooting storage solutions such as SAN, NAS, and object storage (e.g., Dell EMC, NetApp, Hitachi). Virtualization Technologies : Experience with virtualization platforms like VMware vSphere, Microsoft Hyper-V, or Citrix XenServer Networking : Basic Understanding of networking Port, Protocols, VLANs etc. Scripting and Automation : Proficiency in scripting languages (e.g., PowerShell, Bash, Python, Ansible) and automation tools/CICD to streamline tasks and workflows. Monitoring and Alerting : Familiarity with monitoring tools (e.g., Nagios, Zabbix, Prometheus) to monitor system and storage performance and configure alerts. Backup and Recovery : Knowledge of backup and recovery solutions, including strategies for data protection, disaster recovery, and backup software. Security : Understanding of security best practices, including access controls, encryption, vulnerability management, and compliance requirements Public Cloud: Understanding of Azure and AWS Troubleshooting : Strong problem-solving skills to diagnose and resolve complex system and storage-related issues Project Management : Skills in project planning, execution, and coordination to lead system and storage-related projects from initiation to completion. Continuous Learning : Commitment to staying updated with emerging technologies, industry trends, and best practices in systems and storage engineering. Team Collaboration : Ability to work collaboratively in cross-functional teams and mentor junior engineers, sharing knowledge and expertise. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations, or requirements posted here at any time at the Companys sole discretion, with or without notice.