1171 Cloud Platform Jobs - Page 33

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet the needs of the organization and its clients. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in cloud technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to refine and enhance cloud application solutions.- Conduct thorough testing of cloud applications to ensure reliability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with various cloud service providers and their offerings.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and resolve issues related to cloud applications. Additional Information:- The candidate should have minimum 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs and solutions. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet the needs of the organization and its clients. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in cloud technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application deployment and integration.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud architecture and deployment strategies.- Experience with infrastructure as code tools such as Terraform or CloudFormation.- Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.- Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement cloud-based solutions.- Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of infrastructure as code tools like Terraform or CloudFormation. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure that the architecture is viable, secure, and performs optimally, while also creating proofs of concept to validate your designs and solutions. You will be responsible for deploying infrastructure and platform environments, ensuring that all components work together effectively to meet the needs of the organization and its clients. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application solutions.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud infrastructure and services.- Experience with deployment automation tools such as Terraform or Ansible.- Familiarity with security best practices in cloud environments.- Ability to troubleshoot and optimize cloud application performance. Additional Information:- The candidate should have minimum 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and implement cloud-based solutions.- Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing principles.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of containerization technologies like Docker and Kubernetes. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will be responsible for designing, building, testing, and deploying cloud application solutions that integrate cloud and non-cloud infrastructure. You will deploy infrastructure and platform environments, create proof of architecture to test architecture viability, security, and performance. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to design and implement cloud-based solutions.- Optimize cloud infrastructure for performance, scalability, and cost efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of cloud computing principles and technologies.- Experience with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of containerization technologies like Docker and Kubernetes.- Hands-on experience with infrastructure as code tools like Terraform or CloudFormation. Additional Information:- The candidate should have a minimum of 3 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description: QuinStreet is looking for a top-notch Java Developer to join our team here in Pune, India. We are looking for a candidate with a passion for Java and Web development. Can you develop, troubleshoot, and enhance Web sites? Can you influence design decisions and work cross functionally with category business directors, designers, QA teams, and platform product development teams? If yes, then you are what we are looking for! In this role, you will impact the fast-growing online media space. You will play a vital support role within one of our business verticals by developing new applications and enhancing existing ones. You will provide innovation and improvement to further optimize our business. You will be exposed to cutting-edge e-commerce and web services technologies and work in a collaborative learning environment. We create and continuously improve a technology platform and product family that fully supports our business objectives and that delivers value to our clients. Key Responsibilities: • Design, develop, and maintain scalable and high-performance Java-based applications. • Build and integrate RESTful APIs with third-party systems. • Collaborate with cross-functional teams to define, design, and ship new features. • Write clean, maintainable, and efficient code following best practices. • Work very closely with QA engineers, architects, tech leads on several projects at a time • Participate in code reviews and provide constructive feedback to peers. • Develop unit and integration tests to ensure software quality. Technical Requirements : • 4+ years of hands-on software development experience in Java (version 8 or above) with knowledge of Object-Oriented Design. • 3+ year experience with Spring Boot, Web Services, Micro Services, REST API, Json and XML parsers. • Good understanding of how web applications work including knowledge of the HTTP protocol, request/response cycles and session management • Knowledge of SQL and experience working with RDBMS like Oracle or MySQL • Experience working in a UNIX and/or LINUX environment •Good communication skills and the ability to work directly with project managers and engineering teams

Role: Java Backend Developer Location: Greater Noida Experience: 7+ years Notice Period: Immediate to 30 days Must Have: Java, Microservices, Springboot, AWS, Kafka, DevOps.

Please Note: This position is on third-party payroll and will involve collaboration with international teams (India, US, and Mexico). Role Summary: We are seeking an experienced Business Analyst with Project Coordination expertise to manage and support the execution of multiple business-critical technology projects. The role involves coordinating project activities, facilitating cross-functional team communication, ensuring alignment with business objectives, and driving efficient execution. The ideal candidate will have a strong grasp of Agile methodologies, project planning, stakeholder management, and business process analysis. Key Responsibilities: 1. Business Analysis & Planning: Engage with stakeholders to gather and analyze business requirements aligned with organizational goals. Translate business needs into functional specifications and project deliverables. Develop project charters, roadmaps, and requirement documentation. Define project objectives and success criteria in collaboration with leadership and technical teams. Support creation of detailed project plans including scope, milestones, timelines, and resource allocation. 2. Project Coordination & Execution: Coordinate and track project execution across multiple teams (technical, UX, QA, etc.). Schedule and lead daily/weekly meetings to ensure milestones are met and blockers are resolved. Support sprint planning, review, and retrospective sessions with Agile teams. Monitor task progress, manage risks, and escalate issues to leadership when necessary. Collaborate with product and technology teams to ensure solutions are aligned with the overall business vision. 3. Communication & Stakeholder Management: Act as the primary point of contact between project stakeholders, technical teams, and leadership. Maintain clear, consistent communication across all levels of the organization. Provide regular status updates, dashboards, and reports for leadership and executive sponsors. Prepare and deliver project documentation, presentations, and reports. Facilitate international team collaboration across India, the US, and Mexico time zones. Required Skills & Experience: 5+ years in business analysis and project coordination roles. Strong knowledge of Agile/Scrum methodologies; experience with sprint planning and retrospectives. Prior experience working with SaaS or enterprise-level solutions preferred. Hands-on experience with project management tools like JIRA, Confluence, Trello , etc. Familiarity with data and cloud platforms; ability to understand technical architectures is a plus. Excellent written and verbal communication skills; ability to influence stakeholders at all levels. Strong analytical thinking, problem-solving, and organizational skills. Comfortable working in a global team environment and managing cross-time-zone communication. Preferred Qualifications: Bachelors or Masters degree in Business, Computer Science, or a related field. Certification in Business Analysis (e.g., CBAP, CCBA) or Agile/Scrum (e.g., CSM, PMI-ACP) is a plus. Experience in customer engagement or workplace solutions domain preferred. Familiarity with DevOps, CI/CD, and testing concepts (e.g., TDD, automated testing). Additional Notes: This role requires flexibility in working hours to accommodate meetings with international teams (Mexico, US, India). Strong interpersonal and stakeholder management skills are critical for success.)

Nucleusteq is looking for Cloud Engineer to join our dynamic team and embark on a rewarding career journey A Cloud Engineer is responsible for designing, implementing, and maintaining an organization's cloud computing infrastructure The following are some key responsibilities for a Cloud Engineer: Design and implement cloud computing solutions using technologies such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Configure and maintain cloud infrastructure, including virtual machines, storage systems, and network settings Monitor and optimize cloud performance, including resources utilization and cost management Implement and maintain security and compliance measures to ensure the confidentiality, integrity, and availability of data and systems Troubleshoot and resolve cloud infrastructure issues, and perform root cause analysis to prevent future incidents Stay up-to-date with the latest cloud computing technologies, trends, and best practices Requirements: Strong knowledge of cloud computing technologies, such as virtualization, containers, and automation Experience with scripting languages such as Python, Bash, or PowerShell Good understanding of network protocols, security best practices, and compliance standards Strong problem-solving and analytical skills Excellent communication and interpersonal skills

We're Hiring: Data Engineer | 25 Years Experience | AWS + Real-time Focus Join our fast-moving team as a Data Engineer where you'll build scalable, real-time data pipelines, own cloud infrastructure, and collaborate across teams to drive data-first decisions. If you're strong in Python , experienced with streaming platforms like Kafka/Kinesis, and have shipped cloud-native data pipelines (preferably AWS) — we want to hear from you. Must-Haves: 2–5 years of experience in Data Engineering Python (Pandas, PySpark, async), SQL, ETL/ELT Streaming experience (Kafka/Kinesis) AWS cloud stack (Glue, Lambda, S3, Athena) Experience in APIs, data warehousing, and data modelling Bonus if you know: Docker, Kubernetes, Airflow/dbt, or have a background in MLOps. Role & responsibilities Preferred candidate profile

Hi, Greetings from Thales India Pvt Ltd.....! We are hiring for Senir Engineer/Technical Lead - Devops Engineer for our Engineering competency center for Bangalore location . Experience: 6 to 12 years. Notice Period: Immediate to Max 30 Days. About Thales: Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in Indias growth story by sharing its technologies and expertise in Defense, Transport, Aerospace and Digital Identity and Security markets. Additional: Imperva, a Thales Company is a cybersecurity leader Together, we provide innovative platforms designed to reduce the complexity and risks of managing and protecting more applications, data, and identities than any other company can. Our solutions enable over 35,000 organizations to deliver trusted digital services to billions of consumers around the world every day. JOB Summary: We're building a first-of-its-kind AI Firewall to protect applications using Large Language Models (LLMs). As one of the first DevOps Engineers on the team, you'll build and maintain the CI/CD pipelines, observability stack, and deployment infrastructure for a cutting-edge AI Firewall. Your work ensures our services are secure, fast, and always available. Job Knowledge, Skill and Qualifications: BE, M.Sc. in Computer Science or equivalent 6+ years of experience in DevOps, SRE, or Infrastructure Engineering Proficient with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure) Experience in developing performance-oriented applications. Strong scripting skills (Bash, Python, or Groovy) Background in AI/ML, Networking concepts such as TCP/UDP, HTTP, TLS etc. Bonus: Experience with security tooling, API gateways, or LLM-related infrastructure

Experience with NoSQL databases (e.g., MongoDB, Redis). Familiarity with cloud platforms (AWS, Azure, GCP). Knowledge of CI/CD pipelines (e.g., Jenkins, GitLab CI). Experience with reactive programming (e.g., Spring WebFlux).

What Youll do: Own the strategy, roadmap, and execution of notification intelligence and automation solutions. Lead the development of GenAI-powered content generation, send-time optimization, and cross-channel orchestration systems. Build intelligent systems that drive significant incremental revenue while minimizing customer fatigue and unsubscribes. Develop and grow technical leadership within the team, modeling a culture of continuous research and innovation. Collaborate with Engineering and Product teams to scale decisioning systems to millions of notifications daily. Act as a subject matter expert, providing mentorship and technical guidance across the broader Data Science and Engineering organization. We Are a Match Because You Have: Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of industry experience, with at least 12 years of experience managing teams, and 5+ years as an individual contributor working on production ML systems. Strategic thinker with a customer-centric mindset and a desire for creative problem-solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior-level stakeholders on strategic direction, based on recommendations backed by in-depth analysis, and excellent written and verbal communication skills. Ability to partner cross-functionally to own and shape technical roadmaps and the organizations required to drive them. Proficient in one or more programming languages, e.g., Python, Golang, or Rust. Nice to have: Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. Familiarity with Generative AI and agentic workflows. PS: This role is with one of our clients who is a leading name in the Retail Industry.

About the Role: As a Data Engineer, you will be part of the Data Engineering team with this role being inherently multi-functional, and the ideal candidate will work with Data Scientist, Analysts, Application teams across the company, as well as all other Data Engineering squads at Wayfair. We are looking for someone with a love for data, understanding requirements clearly and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products. What you'll do: Build and launch data pipelines, and data products focussed on SMART Org. Helping teams push the boundaries of insights, creating new product features using data, and powering machine learning models. Build cross-functional relationships to understand data needs, build key metrics and standardize their usage across the organization. Utilize current and leading edge technologies in software engineering, big data, streaming, and cloud infrastructure What You'll Need: Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience 3+ years relevant work experience in the Data Engineering field with web scale data sets. Demonstrated strength in data modeling, ETL development and data lake architecture. Data Warehousing Experience with Big Data Technologies (Hadoop, Spark, Hive, Presto, Airflow etc.). Coding proficiency in at least one modern programming language (Python, Scala, etc) Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing and query performance tuning skills of large data sets. Industry experience as a Big Data Engineer and working along cross functional teams such as Software Engineering, Analytics, Data Science with a track record of manipulating, processing, and extracting value from large datasets. Strong business acumen. Experience leading large-scale data warehousing and analytics projects, including using GCP technologies Big Query, Dataproc, GCS, Cloud Composer, Dataflow or related big data technologies in other cloud platforms like AWS, Azure etc. Be a team player and introduce/follow the best practices on the data engineering space. Ability to effectively communicate (both written and verbally) technical information and the results of engineering design at all levels of the organization. Good to have : Understanding of NoSQL Database exposure and Pub-Sub architecture setup. Familiarity with Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools. PS: This role is with one of our clients who is a leading name in Retail Industry.

What You ll Do : As a Software Engineer (SRE), you will join our team to help grow our systems into best-in-class for efficiency, stability, observability, velocity, and scale in the e-commerce space, engage with the product and engineering team from Day 1 to design, build and maintain the system / software proactively Influence the design and architecture of Wayfair system as part of Cloud Enablement journey; collaborate with development teams to design scalable and reliable systems, considering aspects such as fault tolerance, availability and performance Influence the design and architecture of Wayfair system as part of Cloud Enablement journey; collaborate with development teams to design scalable and reliable systems, considering aspects such as fault tolerance, availability, and performance Work with both software engineers and fellow Platform Engineers to optimize and develop repeatable systems for the two sides to leverage each other. There s a wide range of opportunities to both guide the broad conversation and dive into the nuance of our code & architecture Help service owners build realistic SLOs, set SLAs and error budgets, and ensure production services have reliability built into their design Even after self-healing and automation done by you - if EXTREME complex issues arise, get involved into troubleshooting and root-cause analysis of issues across the stacks - hardware, software, database, network and so on Develop and maintain tools and frameworks for automating the deployment, CI/CD pipeline, configuration, and management of software systems. Automate repetitive tasks to increase efficiency and reduce human error Mentor new hires and other engineers by example, tech talks, paired programming, and other avenues to increase technical efficiency across the organization. What You ll Need: 3+ years experience working as a Software Engineer in a Platform role, or software development with an understanding of cloud infrastructure Experience with cloud platforms GCP, AWS, and containerization technologies (e.g. Docker, Kubernetes) Experience with server-side software engineering (Java, Go, Perl, Python etc) Design experience with distributed systems, microservices architecture, and related technologies Strong understanding of monitoring and alerting, with a focus on performance monitoring and tracing instrumentation & SLI/SLO/SLAs Experience decoupling monolith services a plus Knowledge of CI/CD pipelines and version control systems (e.g., Git). Excellent communication skills across engineers, product managers, and business stakeholders alike Passion for leading a large, cross-cutting technical initiative to delivery, cross-functional consensus building and influencing design decisions Ample experience gathering and balancing requirements from technical and business stakeholders, and reaching consensus on prioritization Experience mentoring engineers and leading code reviews PS: This role is for one of Upler's client who is a leading name in Retail Industry

Req ID: 324959 We are currently seeking a L1 Cloud Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Cloud Platform / Infrastructure Engineer - Grade 6 - At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company"™s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. Preferred Experience As an L1 cloud engineer, should have good understanding of cloud platform, networking, and storage principles with focus on Azure. Cloud administration, maintenance, and troubleshooting experience. Monitor cloud and infrastructure services to ensure uninterrupted operations. Monitor and manage support tickets during assigned shifts, ensuring timely and accurate resolution of issues. Respond to alerts and incidents, escalating to higher-level support as necessary. Able to provide shift hours support at L1 level Experience in updating KB articles and SOPs. Request additional information from clients, when necessary, to accurately diagnose and resolve issues. Acknowledge and analyse client emails to identify and understand issues. Provide clear guidance and relevant information to resolve first-level issues. Escalate complex issues to the internal L2 team and track the progress of these escalations to ensure prompt resolution. Well experienced in handling incident, service requests, change requests. Passion for delivering timely and outstanding customer service Great written and oral communication skills with internal and external customers Basic Qualifications 2+ years of overall operational experience 2+ years of Azure/AWS experience 2+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications Azure Fundamentals AWS Cloud Practitioner Four Year BS/BA in Information Technology degree or equivalent experience

Req ID: 328139 We are currently seeking a Enterprise Resource Planning Specialist to join our team in bangalore, Karntaka (IN-KA), India (IN). Responsibilities Design, develop, and deploy integration solutions using Oracle Integration Cloud or Oracle Integration Cloud Service. Collaborate with business stakeholders to gather requirements and define integration strategies. Develop and maintain REST/SOAP web services, APIs, and connectors. Implement integration patterns such as point-to-point, publish-subscribe, and event-driven architectures. Configure and customize Oracle Integration Cloud adapters to integrate with third-party systems. Perform unit testing, debugging, and troubleshooting of integration solutions. Ensure adherence to best practices and standards for integration development. Participate in code reviews and provide technical guidance to junior developers. Stay updated on the latest trends and advancements in Oracle integration technologies. Specifications Bachelor's degree in Computer Science, Information Technology, or related field. 5+ years of experience in Oracle integration development. Proficiency in Oracle Integration Cloud (OIC) or Oracle Integration Cloud Service (ICS). Strong knowledge of integration patterns and techniques. Hands-on experience with REST/SOAP web services and API development. Experience with Oracle Cloud Platform and Oracle PaaS services. Familiarity with Oracle SOA Suite, Oracle Service Bus, and Oracle Fusion Middleware. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Exp 5-7

Req ID: 328283 We are currently seeking a Jr Cloud Engineer - GCP to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Title / RoleJr Cloud Engineer - GCP : Primary SkillCloud-Infrastructure-Google Cloud Platform Minimum work experience1+ yrs Total Experience1+ Years Mandatory Skills: Technical Qualification/ Knowledge: Working knowledge on GCE, GAE, GKE and GCS Hands-on experience in creating and provisioning compute Instances using GCP console, Terraform and Google Cloud SDK. Creating Databases in GCP and in VM"™s Knowledge of data analyst tool (big query). Knowledge of cost analysis and cost optimization. Knowledge of Git & GitHub. Knowledge on Terraform and Jenkins. Monitoring the VM and Applications using Stack driver. Working knowledge on VPN and Interconnect setup. Hands on experience in setting up HA environment. Hands on experience in Creating VM instances in Google cloud Platform. Hands on experience in Cloud storage and retention policies in storage. Managing Users on Google IAM Service and providing them appropriate permissions . GKE - Designing, implementing, managing, and deploying cloud-native applications in a Kubernetes environment. GKE - Automation, troubleshooting issues, and mentoring the team members. GKE - Understand security, efficiency, scalability of core services and capabilities. CertificationGCP Engineer & GKE Process/ Quality Knowledge: Must have clear knowledge on ITIL based service delivery. Soft Skills: Good communication skill and capability to work directly with global customers Timely and accurate communication Need to demonstrate the ownership for the technical issues and engage the right stakeholders for timely resolution. Flexibility to learn and lead other technology areas like other public cloud technologies, private cloud, automation Location - Bengaluru,Chennai,Noida,Pune

Req ID: 313916 We are currently seeking a Alation Admin or MSTR Cloud Admin to join our team in NOIDA, Uttar Pradesh (IN-UP), India (IN). Alation Admin Also known as an Alation Data Catalog Administrator Responsible for managing and maintaining the Alation Data Catalog, a platform that helps organizations discover, understand, and govern their data assets. 1. Platform Administration Installing, configuring, and maintaining the Alation Data Catalog platform to ensure its optimal performance and reliability. 2. User Management Managing user access, permissions, and roles within Alation, ensuring proper authentication and authorization for data access. 3. Data Governance Implementing and enforcing data governance policies, including data classification, data lineage, and data stewardship, to maintain data quality and compliance. 4. Data Catalog Management Curating and organizing metadata and data assets within the catalog, ensuring accurate and up-to-date information is available to users. 5. Integration: Collaborating with other IT teams to integrate Alation with data sources, databases, data lakes, and other data management systems. 6. Metadata Management Overseeing the extraction and ingestion of metadata from various data sources into Alation, including data dictionaries, business glossaries, and technical metadata. 7. Security Implementing and maintaining security measures, such as encryption, access controls, and auditing, to protect sensitive data and catalog information. 8. Training and Support Providing training to users on how to effectively use the Alation Data Catalog and offering support for catalog-related inquiries and issues. 9. Data Discovery Assisting users in discovering and accessing data assets within the catalog, promoting self-service data discovery. 10. Collaboration Collaborating with data owners, data stewards, and data users to understand their data needs and ensure the catalog meets those requirements. 11. Performance Monitoring Monitoring the performance of the Alation Data Catalog platform, identifying and resolving issues to ensure optimal functionality. 12. Upgrades and Maintenance Planning and executing platform upgrades and applying patches to stay up to date with Alation releases. 13. Documentation Maintaining documentation for catalog configurations, processes, and best practices. 14. Reporting and Analytics Generating reports and insights from Alation to track data usage, data lineage, and user activity. 15. Data Quality Monitoring and improving data quality within the catalog and assisting in data quality initiatives. 16. Stay Current Staying informed about Alation updates, new features, and industry best practices in data catalog administration. An Alation Admin plays a critical role in enabling organizations to effectively manage their data assets, foster data collaboration, and ensure data governance and compliance across the enterprise. --------------------------- MicroStrategy Cloud Admin Minimum 4+ years of MSTR Administration with following core attributes "“ Hands-on maintenance and administration experience in MicroStrategy 10.x Business Intelligence product suite, AWS Cloud platform Experience on enterprise portal integration, mobile integration, write back to source data based on analysis by business users, alerts via mail, mobile based on pre-defined events Ability to define and review complex Metric Ability to architect MSTR Cubes for solving complex business problems Good conceptual knowledge and working experience on meta data creation framework models universe etc., creating report specifications, integration test planning & testing, unit test planning & testing, UAT & implementation support Strong knowledge of quality processes SDLC, Review, Test, Configuration Management, Release Management, Defect Prevention Knowledge of Database is essential and ability to review the SQL passes and make decisions based on query timings Good experience on MicroStrategy upgrade, configurations on Linux Have hands on experience on creating MSTR deployment packages, Command manager scripts setup and maintain proper object and data security working experience of Configure, maintain, and administer multiple environments Open to work in different shifts as per project need Excellent Communication Skills (Written, Verbal, team work and issue resolution) Activities: Provide support for MicroStrategy"™s Business Intelligence product suite, AWS Cloud platform, and its underlying technologies Use your strong communication skills Resolve application and infrastructure situations as they arise Perform day to day management of the MicroStrategy Cloud infrastructure (on AWS) including alert monitoring/remediation, change management, incident troubleshooting and resolution. Participate in scheduled and emergency infrastructure maintenance activities Collaborate and communicate effectively with peers, internal application and software development teams Maintain high quality documentation for all related tasks Work in a strong team environment Independently manage Production MSTR environment (and associated lower environments as Dev, UAT) Manage upgrades and vulnerabilities

We are currently seeking a GCP Dev Ops Engr to join our team in Ban/Hyd/Chn/Gur/Noida, Karntaka (IN-KA), India (IN). Responsibilities Design, implement, and manage GCP infrastructure using Infrastructure as Code (IaC) tools. Develop and maintain CI/CD pipelines to improve development workflows. Monitor system performance and ensure high availability of cloud resources. Collaborate with development teams to streamline application deployments. Maintain security best practices and compliance across the cloud environment. Automate repetitive tasks to enhance operational efficiency. Troubleshoot and resolve infrastructure-related issues in a timely manner. Document procedures, policies, and configurations for the infrastructure. Skills Google Cloud Platform (GCP) Terraform Ansible CI/CD Kubernetes Docker Python Bash/Shell Scripting Monitoring tools (e.g., Prometheus, Grafana) Cloud Security Jenkins Git

Req ID: 321996 We are currently seeking a GCP-Cloud Run Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). GCP-Cloud Run Exp- 5+ years Notice Period- Immediate to 30 days : Senior Application Developer with Google Cloud Platform experience in BigQuery, SQL, CloudRun. Need a Senior Application Developer with GCP Skillset for a project involving re-design and re-platform of legacy Revenue Allocation system Mandatory Skills: GCP BigQuery, SQL, CloudRun Desired Skills: Linux Shell Scripting is a huge plus; Nice to have - Kafka, MQ Series, Oracle PL/SQL Location - Bengaluru,Chennai,Gurugram,Hyderabad,Noida,Pune

Role : Site Reliability Engineer & Azure Experience : 6 to 10 Years Skills : SRE with Azure and OCP/Open Shift cloud platform Location : Bangalore/Hyderabad

We are seeking an experienced AI/ML Architect to lead the design, development, and deployment of Generative AI solutions. This role requires a deep understanding of AI/ML architectures, technical leadership, and the ability to design robust, scalable, and production-ready systems. The ideal candidate will have extensive experience in cloud platforms like GCP and optionally AWS, Azure, or equivalent tools, combined with hands-on expertise in MLOps, containerization, data processing, and advanced model optimization . You will work closely with cross-functional teams, technical leadership, and stakeholders to implement state-of-the-art AI solutions that solve real-world challenges and drive business value. Roles & Responsibilities 1) Technical Leadership Lead the technical design and architecture of complex Generative AI systems. Ensure solutions align with business objectives, scalability requirements, and technical feasibility. Guide development teams through best practices , architecture reviews, and technical decision-making processes. 2) Solution Architecture Design and develop end-to-end Generative AI solutions , including data pipelines , model training, deployment, and real-time monitoring. Utilize MLOps tools and frameworks to automate workflows, ensuring scalable and repeatable deployments. Architect robust solutions using GCP and optionally AWS, Azure, or open-source frameworks. Design, train, and fine-tune AI/ML models , especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutions and chatbots using frameworks such as LangChain , RAG (Retrieval-Augmented Generation) , and Chain-of-Thought (COT) prompting . 3) Production Deployment Lead the deployment of Generative AI models into production environments . Optimize deployment pipelines leveraging tools like Docker, Kubernetes , and cloud-native services for orchestration. Ensure seamless integration of GenAI solutions into existing CI/CD pipelines. 4) Data Processing & Feature Engineering Build scalable ETL workflows for managing structured, semi-structured, and unstructured data. Implement data wrangling , preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Optimize workflows to extract meaningful insights from large datasets . 5) Model Optimization Identify and implement optimization strategies such as hyperparameter tuning , feature engineering , and model selection for performance enhancement. Focus on computational efficiency and scaling models to production-level performance. 6) Pilot/POCs Development Drive the design and development of Proof of Concepts (POCs) and pilot projects to address customer requirements. Collaborate with delivery and product teams to scale successful pilots to production-grade solutions. 7) Evangelization Promote and drive the adoption of Generative AI solutions across customer and delivery teams. Provide technical leadership and mentorship to teams working on GenAI projects. Conduct workshops, training sessions, and knowledge-sharing initiatives to enable stakeholders. 8) Continuous Improvement Stay at the forefront of AI advancements , frameworks, and tools, including emerging concepts in Generative AI. Explore and evaluate techniques like Reinforcement Learning from Human Feedback (RLHF) and REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks to enhance GenAI applications. Required Skills & Qualifications 10+ years of experience in AI/ML architecture, model development, and production deployment Proven expertise in designing, implementing, and scaling Generative AI and LLM-based solutions Hands-on experience with frameworks like LangChain , Retrieval-Augmented Generation (RAG) , and advanced prompting techniques Proficiency in advanced techniques such as embeddings and Chain-of-Thought (COT) prompting Experience working with cloud platforms , primarily GCP , with optional experience in AWS or Azure Strong understanding of MLOps tools, pipelines, and model monitoring in production Proficiency in Python and SQL for model development and data processing Experience with data preprocessing, ETL workflows , and feature engineering for AI applications Strong knowledge of containerization tools like Docker and orchestration platforms like Kubernetes Solid understanding of CI/CD pipelines for continuous deployment and integration of AI solutions Experience working with large datasets for structured and unstructured AI applications Deep experience in model optimization, including hyperparameter tuning and computational efficiency strategies Proven track record of leading POCs/pilots and scaling them to production-grade deployments Preferred Skills Familiarity with Reinforcement Learning from Human Feedback (RLHF) . Experience with REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks. Strong understanding of orchestration for large-scale production environments. Key Attributes Strong technical leadership and mentorship abilities. Excellent communication and stakeholder management skills. Strategic thinking with the ability to architect scalable and future-ready AI systems. Passion for solving business challenges using state-of-the-art AI techniques. Commitment to staying updated with the latest advancements in AI/ML technologies. Why Join Us? Lead the development of cutting-edge Generative AI solutions for real-world applications. Be part of a collaborative, innovative, and technology-driven team. Opportunity to work with advanced AI/ML tools and frameworks. Drive innovation through technical leadership , mentorship, and solution evangelization. Continuous professional growth with access to the latest AI/ML technologies and frameworks.

Must have a minimum 1 yr exp in SRE (CloudOps), Google Cloud platforms (GCP), monitoring, APM, and alerting tools like Prometheus, Grafana, ELK, Newrelic, Pingdom, or Pagerduty, Hands-on experience with Kubernetes for orchestration and container mgt Required Candidate profile Mandatory expreience working in B2C Product Companies. Must have Experience with CI/CD tools e.g. (Jenkins, GitLab CI/CD, CircleCI TravisCI..)