389 Google Cloud Jobs - Page 9

5+ Years of Strong proficiency in Flutter Kotlin &Java,AWS. Exp in Android SDK,Android, RESTful APIs to connect Android applications to back-end services,Android UI design principles, patterns, best practices in storage,threading, performance tuning. Required Candidate profile Exp in version control systems (e.g.,Git),database technologies - SQL, No SQL, RESTful APIs. Exp in cloud platforms AWS, Azure, Google Cloud,CI/CD pipelines & related tool, Agile/Scrum methodologies.

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 6-12 yrs Location: Hyderabad/Bangalore/Pune/Delhi Skill: GCP Data Engineer - Proficiency in programming languages: Python - Expertise in data processing frameworks: Apache Beam (Data Flow), Kafka, - Hands-on experience with GCP services: Big Query, Dataflow, Composer, Spanner - Knowledge of data modeling and database design - Experience in ETL (Extract, Transform, Load) processes - Familiarity with cloud storage solutions - Strong problem-solving abilities in data engineering challenges - Understanding of data security and scalability - Proficiency in relevant tools like Apache Airflow Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in GCP: Rel Exp in Big Query: Rel Exp in Composer: Rel Exp in Python: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year:

Lead the technical discovery process, assess customer requirements, and design scalable solutions leveraging a comprehensive suite of Data & AI services, including BigQuery, Dataflow, Vertex AI, Generative AI solutions, and advanced AI/ML services like Vertex AI, Gemini, and Agent Builder. Architect and demonstrate solutions leveraging generative AI, large language models (LLMs), AI agents, and agentic AI patterns to automate workflows, enhance decision-making, and create intelligent applications. Develop and deliver compelling product demonstrations, proofs-of-concept (POCs), and technical workshops that showcase the value and capabilities of Google Cloud. Strong understanding of data warehousing, data lakes, streaming analytics, and machine learning pipelines. Collaborate with sales to build strong client relationships, articulate the business value of Google Cloud solutions, and drive adoption. Lead and contribute technical content and architectural designs for RFI/RFP responses and technical proposals leveraging Google Cloud Services. Stay informed of industry trends, competitive offerings, and new Google Cloud product releases, particularly in the infrastructure and data/AI domains. Extensive experience in architecting & designing solutions on Google Cloud Platform, with a strong focus on: Data & AI services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI (ML Ops, custom models, pre-trained APIs), Generative AI (e.g., Gemini). Strong understanding of cloud architecture patterns, DevOps practices, and modern software development methodologies. Ability to work effectively in a cross-functional team environment with sales, product, and engineering teams. 5+ years of experience in pre-sales or solutions architecture, focused on cloud Data & AI platforms. Skilled in client engagements, technical presentations, and proposal development. Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Location-Noida,Pune,Bengaluru,Hyderabad,Chennai

Job Summary: We are seeking a motivated and skilled Cloud-Native Deployment Engineer to join our team to support and manage the deployment of HCL Unica in cloud-native environments such as AWS, Azure, and Google Cloud Platform (GCP). The ideal candidate should have hands-on experience in cloud-native architecture and containerized deployment (Docker/Kubernetes), along with a basic understanding of marketing automation platforms. Key Responsibilities: Deploy and configure HCL Unica Suite (Campaign, Interact, Platform, etc.) in cloud-native environments (AWS, Azure, GCP). Set up, monitor, and manage containerized applications using Docker and Kubernetes. Design and implement CI/CD pipelines for Unica deployment and updates using tools like Jenkins, GitLab CI, etc. Troubleshoot deployment issues and performance bottlenecks in cloud environments. Collaborate with cloud architects, developers, and marketing platform teams to ensure successful deployments. Maintain deployment documentation and operational runbooks. Support migration of on-premise Unica instances to cloud-native infrastructure. Required Skills & Qualifications: 1 to 2 years of relevant experience in cloud-native application deployment. Working knowledge of at least one cloud platform: AWS, Azure, or GCP. Hands-on experience with Docker, Kubernetes, Helm, and container orchestration. Familiarity with DevOps tools: Git, Jenkins, Ansible, Terraform (nice to have). Basic understanding of HCL Unica (Campaign/Interact/Platform) or other marketing automation platforms. Good understanding of databases, networking, firewalls, load balancing, and security practices in the cloud. Strong problem-solving and communication skills. Preferred Qualifications: Experience working with HCL Unica Cloud Native or deploying large-scale enterprise marketing solutions. Familiarity with cloud-native monitoring tools like Prometheus, Grafana, or AWS CloudWatch. Exposure to Agile development and collaboration tools (Jira, Confluence, etc.).

Job Title: Informatica CDQ Lead (Contract - Work From Office, Mumbai) We have an immediate requirement for an experienced Informatica CDQ Lead for a contract position in Mumbai. The ideal candidate should have expertise in Informatica Cloud Data Quality (CDQ) and strong data management skills. Key Responsibilities: Lead Informatica CDQ implementations for multiple projects. Develop and maintain data quality rules, scorecards, and dashboards. Collaborate with data architects and stewards to define solutions. Identify and resolve data quality issues to ensure accuracy. Work with business teams to understand requirements and provide solutions. Conduct root cause analysis and recommend improvements. Provide support and guidance to team members. Monitor and manage data quality performance with reports. Required Skills and Qualifications: 6+ years of experience with Informatica CDQ. Expertise in data quality solutions and governance. Strong knowledge of ETL processes and Informatica CDQ rules. Experience in leading data quality initiatives and teams. Familiarity with AWS, Azure, or Google Cloud is a plus. Excellent problem-solving and leadership skills.

Job Title: SDET About Skyhigh Security: Skyhigh Security is a dynamic, fast-paced, cloud company that is a leader in the security industry. Our mission is to protect the worlds data, and because of this, we live and breathe security. We value learning at our core, underpinned by openness and transparency. Since 2011, organizations have trusted us to provide them with a complete, market-leading security platform built on a modern cloud stack. Our industry-leading suite of products radically simplifies data security through easy-to-use, cloud-based, Zero Trust solutions that are managed in a single dashboard, powered by hundreds of employees across the world. With offices in Santa Clara, Aylesbury, Paderborn, Bengaluru, Sydney, Tokyo and more, our employees are the heart and soul of our company. Skyhigh Security Is more than a company; here, when you invest your career with us, we commit to investing in you. We embrace a hybrid work model, creating the flexibility and freedom you need from your work environment to reach your potential. From our employee recognition program, to our ‘Blast Talks' learning series, and team celebrations (we love to have fun!), we strive to be an interactive and engaging place where you can be your authentic self. We are on these too! Follow us on LinkedIn and Twitter @SkyhighSecurity . Role Overview: Using your deep knowledge of various Linux systems (like Ubuntu, CentOS, Debian, and Red Hat) for everything from development to deployment and maintenance. Managing software packages using tools like rpm, apt-get, yum, and dnf across different Linux flavors. Creating and maintaining helpful scripts (using things like Bash or Python) to automate tasks, set up new systems, and keep an eye on things Plan, design, develop, verify, and maintain automated and manual test suites. Responsible for testing performance, load, scalability / capacity, networks and infrastructure. Hands-on experience in setting up OS in virtual environments like VM-Workstation, ESX server, Hyper-V , KVM About the Role: Plan, develop, execute, monitor, improve, and maintain manual and automated test cases. Identify, document defects and work closely with all stakeholders to ensure timely resolution of issues. Hands-on experience in setting up test Infrastructure in virtual environments like VMware ESXi server, Hyper-V, KVM, Nutanix and OpenShift. Works with product development teams throughout the product development life cycle to ensure software quality requirements and goals are established and met. Increase product automated test coverage and improve the release quality across multiple test environments. Lead troubleshooting of issues in QA environment About You: Experience: 4 - 6 years experience in Functional QA testing, particularly with products interfacing with networking and security solutions. Programming Skills: Proficiency in programming languages such as Python and shell scripting with Bash Cloud Platforms: Knowledge of cloud platforms like AWS, Azure, or Google Cloud Good understanding of several Linux distributions (like Ubuntu, CentOS, Debian, RHEL CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) tools such as Jenkins, GitHub is a must. Demonstrated ability to work with microservice architecture, Kubernetes, and Docker containers. Exposure to Virtual environments such as VM-Workstation, ESX server, Hyper-V , KVM Testing Methodologies: Knowledge of various testing methodologies, including unit, integration, and performance testing Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Responsibilities: Work experience of 3+ years with Deep Learning and Neural networks. Researching new models and machine learning algorithms Designing prototypes and conducting experiments to guide engineering efforts Creating ML applications based on client/customer requirements Tell business stories through model outcomes and data. Analyzing test results to improve models Exploring and visualizing data to identify potential issues that might affect model performance Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use Production deployment and maintenance of ML Systems Skills required for this position include: Advanced math and stats skills (calculus, linear algebra, Bayesian statistics) A degree in a related field (math, computer science, statistics) Strong teamwork, problem-solving, and analytical abilities Knowledge of data science Proficiency in coding and programming languages (Python, SQL) Practical experience with ML frameworks and libraries Knowledge of software architecture, data modeling, and data structures Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud)

Key duties & responsibilitiesDirectly contributes as a member of a scrum team to the test-driven development of software features and non-functional quality attributes, applying software engineering best practices and authoring integration tests Provides thoughtful recommendations in sessions with scrum team members to structure solution source code and implementation approaches emphasizing the need to optimize code that follows engineering best practices, and maximizes maintainability, testability and performance Ensures SOLID principles and standard design patterns are applied to system architectures and implementations Drive adoption of modern engineering practices such as Continuous Integration, Continuous Deployment, Code Reviews, TDD, Functional\Non-Functional testing, Test Automation, Performance Engineering etc to deliver high-quality, high-value softwareWorks with product management, business stakeholders and application architects to understand software requirements and helps estimate epics, features and stories Scripts and maintains automated build steps, continuous integration systems and staging environments Provides skillful communication and respectful listening conveying logical and structured thoughts, truthfulness, empathy, confidence and friendliness Applies consistent levels of strategic thinking, judgment, decision making, attention to detail, teamwork, organization, innovation and initiative Foster a culture and mindset of continuous learning to develop agility using the three pillars transparency, inspection and adaptation across levels and geographies Mentors other members of the development team Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing Experience, Skills and Knowledge12+ years of experience designing and developing n-tier Web applicationsWell versed with C#, modern UI technologies and database, ORM technologies Must have solid understanding of modern architectural and design patterns Advanced knowledge of general engineering concepts like design patterns, OO programming, and SOLID principles, HTTP, MVC, APIs, data structures, and algorithms Advanced knowledge and experience with automated test tools and techniques including test-driven development, behavior-driven development, automated acceptance testing, Gherkin & Given/When/Then Advanced knowledge and experience with Microsoft development technologies and tools: C#, Visual Studio or Visual Studio Code, NET Framework/Core, and Entity Framework Advanced knowledge and experience with REST and WebAPIs including but not limited to Web Sockets, JSON, RAML, Swagger, OData, or GraphQL Good working understanding and experience with DevOps practices in source code management, continuous build and deployment tools including but not limited to git, Jira, Jenkins, Docker, Kubernetes, APM tools Working understanding and experience with secure coding practices: OWASP, XSS, CSRF, SSO/Authentication, static code analysis tools, ethical hacking Working understanding of application architecture concepts like microservices, Domain-Driven Design, broker pattern/message bus, event-driven, CQRS, ports & adapters/hexagonal/onion, SOA Deep expertise in one or more Clouds (Azure, AWS, Google Cloud)Strong exposure to Agile software development methodologies and enabling tools such as Jira, ConfluenceExcellent communicator with demonstrable ability of influencing decisionsKnowledge of healthcare revenue cycle management, HL7, EMR systems, HIPAA, FHIR would be preferred Good working understanding of application architecture concepts like microservices, Domain-Driven Design, broker pattern/message bus, event-driven, CQRS, ports & adapters/hexagonal/onion, SOA would be preferredKey competency profileSpot new opportunities by anticipating change and planning accordinglyFind ways to better serve customers and patients Be accountable for customer service of highest qualityCreate connections across teams by valuing differences and including othersOwn your development by implementing and sharing your learningsMotivate each other to perform at our highest levelHelp people improve by learning from successes and failuresWork the right way by acting with integrity and living our values every daySucceed by proactively identifying problems and solutions for yourself and others

Treasury Technology are responsible for the design, build and operation of Deutsche Banks Treasury trading, Balance-sheet Management and Liquidity Reporting ecosystem. In partnership with the Treasury business we look to deliver innovative technology solutions that will enable business to gain competitive edge and operational efficiency. This is a Global role to lead the Engineering function for Treasury Engineering product portfolio. This aim is to develop best in class portfolio consisting of following products: Liqudity Measurement and Management Issuance and Securitization Risk in Banking Book Funds Transfer Pricing Treasury is about managing the money and financial risks in a business. This involves making sure the business has the capital it needs to manage its day-to-day business obligations, while helping develop its long term financial strategy and policies. Economic factors such as interest rate rises, changes in regulations and volatile foreign exchange rates can have a serious impact on any business. Treasuey is responsobile to monitor and assess market conditions and put strategies in place to mitigate any potential financial risks to the business. As a senior leader in Software Engineering, you will lead a highly inspired and inquisitive team of technologists to develop applications to the highest standards. You will be expected to solve complex business and technical challenges while managing a large and senior business stakeholders. You will build an effective and trusted global engineering capability that can deliver consistently against the business ambitions. You are expected to take ownership of the quality of the platform, dev automation, agile processes and production resiliency. Position Specific Responsibilities and Accountabilities: Lead the Global Engineering function across our strategic locations based at Pune, Buchrest, London and New York Communicate with senior business stakeholders with regards to the vision and business goals. Provide transparency to program status, and manage risks and issues Lead a culture of innovation and experimentation, support full software development lifecycle that incorporates the best of technology approaches and delivery methodologies Ensure on time product releases that are of high quality, enabling the core vision of next generation trade processing systems compliant with regulatory requirements Lead development of next generation of cloud enabled platforms which includes modern web frameworks and complex transaction processing systems leveraging a broad set of technology stacks Experience in building fault-tolerant, low-latency, scalable solutions that are performed at a global enterprise scale Implement the talent strategy for engineering aligned to the broader Treasury Technology talent strategy & operating model Develop application with industry best practise using DevOps and automated deployment and testing framework Skills Matrix: Education Qualifications: Degree from an accredited college or university (or equivalent certification and/or relevant work experience). Business Analysis and SME Experience: 18+ years experience in the following areas: Well-developed requirements analysis skills, including good communication abilities (both speaking and listening) and stakeholder management (all levels up to Managing Director). Experience working with Front Office business teams highly desirable Experience in IT delivery or architecture including experience as an Application Developer and people manager Strong object-oriented design skills Previous experience hiring, motivating and managing internal and vendor teams. Technical Experience Mandatory Skills: Java, ideally Spark and Scala Oracle PostGres other Database technologies Experience developing microservices based architectures UI design and implementation Business Process management tools (e.g.g JBPM, IBM BPN) Experience with a range of BI technologies including Tableau Experience with DevOps best practices (DORA), CI/CD Experience in application security, scalability, performance tuning and optimization (NFRs) Experience in API designing, sound knowledge of micro services, containerization (Docker), exposure to federated and NoSQL DB. Experience in database query tuning and optimization Experience in implementing Devops best practices including CI CD, Implementing API testing automation. Experience working in an Agile based team ideally Scrum Desirable skills: Experience with Cloud Services Platforms in particular Google Cloud, and internal cloud based development (Cloud Run, Cloud Composer, Cloud SQL, Docker, K8s) Industry Domain Experience Hands-on knowledge of enterprise technology platforms supporting Front Office, Finance and/or Risk domains would be a significant advantage, as would experience or interest in Sustainable Finance. For example: Knowledge of the Finance/controlling domain and end-to-end workflow for a banking & trading businesses. High level understanding of financial products across Investment, Corporate and Private/Retail banking, in particular Loans. Knowledge of the investment banking, sales & trading, asset management and similar industries is a strong advantage. Clear Thought & Leadership A mindset built on simplicity A clear understanding of the concept of re-use in software development, and the drive to apply it relentlessly Proficiency to talk in functional and data terms to clients, embedded architects and senior managers Technical Leadership skills Ability to work in a fast paced environment with competing and alternating priorities with a constant focus on delivery. Proven ability to balance business demands and IT fulfillment in terms of standardisation, reducing risk and increasing IT flexibility. Logical & structured approach to problem-solving in both near-term (tactical) and mid-long term (strategic) horizons. Communication: Good verbal as well as written communication and presentation capabilities. Good team player facilitator-negotiator networker. Able to lead senior managers towards common goals and build consensus across a diverse group. Able to lead and influence a diverse team from a range of technical and non-technical backgrounds.

Day-to-day Responsibilities: Designing and Building machine learning systems based on business requirements and objectives. Research and implement appropriate ML algorithms and tools Perform exploratory data analysis to identify patterns, trends, and correlations in large datasets. Solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward. Responsible for deploying and managing machine learning models in production and ensure their scalability and efficiency. Training and testing ML models at scale in the cloud. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Stay updated with the latest developments in machine learning and AI to bring innovative solutions to the team. Skills And Qualifications 5+ years of experience implementing and deploying machine learning and deep learning frameworks. Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras Experience in productionizing ML Models Experience with natural language processing (NLP) algorithm Experience with containerization technologies (e.g., Docker) Solid understanding of statistical methods and data analysis Solid understanding of LLMs, Prompt Engineering, RAG, GraphRAG, Langchain frameworks. Solid understanding of machine learning algorithms, data structures, and software engineering principles. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML services Experience with version control systems like Git, Bitbucket etc Ability to work independently and proactively find solutions to challenges. Ability to collaborate effectively with team members and stakeholders.

Dear Candidate, Please find below JD Senior Cybersecurity Architects/SME Work within the Cyber security domain, focusing on the Automated security testing part of our services and improving overall security posture of products and systems for assigned business domain. You will be part of an agile team, constantly improving and automating the security posture of the cloud infrastructure at IKEA. You will partner with and support the IKEA engineering community to build secure infrastructure at scale. You will perform threat modeling and security risk assessments. Understanding of security compliance requirements such as GDPR, NIS2, ISO27000. You will build and operate reliable tooling to increase the visibility of cloud environments and remediate security misconfigurations. You will be a valued member of the team, providing sound perspectives on infrastructure security as well as secure software development. You will be part of the IKEA Cyber Security organization, with a lot of room to grow and develop your skills, knowledge, and experience. Experience utilizing CI/CD practices to Automate security testing tools like SAST (Static Application Security Testing), SCA (Software Composition Analysis), IaC scanning or Container scanning tools in GitHub, Azure DevOps etc. Experience in cloud native environments and preferably Google Cloud Platform or Azure. Experience in working with REST APIs and API security. You have good infrastructure security experience and are passionate about reducing security risks in the cloud. You have experience with threat modeling, security design reviews, and security architecture. Experience with CI/CD pipelines (preferably Github actions), Kubernetes and infrastructure-as-code is a plus. Primary Skill: Azure,Google cloud platform, Cyber security complaince Secondary Skill: Kubernetes,CI/CD practices to Automate security testing tools like SAST Regards Divya Grover +91 8448403677

Generative AI & Intelligent Automation Consulting Practitioner Lead the design and delivery of end-to-end GenAI and AI/ML powered automation solutions and advisory engagements. Demonstrate thought leadership to advise clients on both AI and Process automation strategy and detailed use cases by leveraging established insight and industry leading practices. Practice: Business Process Management, Function: Supply Chain and Operations, Business Unit: Strategy & Consulting, Global Network I Areas of Work: Process Automation | Level: Consultant | Location: Delhi, Gurgaon, Mumbai, Bangalore, Hyderabad | Years of Exp: 4-7 years+ Explore an Exciting Career at Accenture Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsDoes working in an inclusive and collaborative environment spark your interestThen, possibilities.As a part of our and transform their organizations for tomorrowwith a positive impact on the business, society and the planet.Together, lets innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world.Engage with clients (across industries especially in the Supply Chain domain) in designing solutions which will deliver real business value leveraging cutting edge Generative AI & Intelligent Automation technologies.Contribute to pre-sales, delivering presentations and crafting of GenAI & AI solutions - develop proposals to help our clients understand proposed solutions and their businessimpact.Formulate and deploy GenAI strategies for clients which include creating an AI blueprint& roadmap, setting up and operating AI COE.Create thought leadership that articulate our perspective on GenAI & IntelligentAutomation in the industry and for our clients.Develop tools and methodologies for the practical application of GenAI and process automation to address business problems.Staying updated with key technology and industry trends. Bring your best skills forward to excel in the role: Strong process transformation functional experience and problem-solving skills Strong analytical skills to reach clear-cut, methodical solutions Ability to solve complex business problems and deliver client delight Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Strong team-management skills Read more about us. Your experience counts! Minimum 3 years of proven track record as an AI automation consultant and in AI based automation solutions like NLP, OCR, Document Understanding, Chatbots etc, with a sound understanding on Generative AI, LLMs and Prompt EngineeringA demonstrable experience of designing and implementing AI solutions with clients to deliver real business valueAble to own and drive the AI Strategy initiatives and track the outcomes by liaising with stakeholdersMust have solid background and understanding in AI & Intelligent Automation on Cloud.Microsoft Azure, AWS and Google Cloud preferred.Preferred to have experience deploying Intelligent Automation solutions like UI path, Microsoft Power Automate, Blue Prism, ABBYY etc., in the Supply Chain Domain Whats in it for you An opportunity to work on Potential to practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.Ability to embed from how you service your clients to how you operate as a responsible professional.Personalized training modules to develop your your skills, industry knowledge and capabilitiesOpportunity to thrive in a in boundaryless collaboration across the entire organization. Qualification Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsDoes working in an inclusive and collaborative environment spark your interestThen, possibilities.As a part of our and transform their organizations for tomorrowwith a positive impact on the business, society and the planet.Together, lets innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world.Engage with clients (across industries especially in the Supply Chain domain) in designing solutions which will deliver real business value leveraging cutting edge Generative AI & Intelligent Automation technologies.Contribute to pre-sales, delivering presentations and crafting of GenAI & AI solutions - develop proposals to help our clients understand proposed solutions and their businessimpact.Formulate and deploy GenAI strategies for clients which include creating an AI blueprint& roadmap, setting up and operating AI COE.Create thought leadership that articulate our perspective on GenAI & IntelligentAutomation in the industry and for our clients.Develop tools and methodologies for the practical application of GenAI and process automation to address business problems.Staying updated with key technology and industry trends. Bring your best skills forward to excel in the role: Strong process transformation functional experience and problem-solving skills Strong analytical skills to reach clear-cut, methodical solutions Ability to solve complex business problems and deliver client delight Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Strong team-management skills

Bachelor's degree in Computer Science, Information Technology, or a related field. Microsoft Certified: Azure Solutions Architect Expert certification. Minimum of 7 years of experience in cloud architecture, with a focus on Azure. Strong knowledge of Azure services, including Azure DevOps, Azure Active Directory, Azure ARC, and Azure Security. Experience with Infrastructure as Code (IaC) using tools like ARM templates, Terraform, or Ansible. Proficiency in scripting languages, especially Powershell Ability to communicate with clarity and simplicity on technical and non-technical matters spanning from strategy through to execution Excellent time management skills with the ability to multi-task and prioritize responsibilities for self and team Strong interpersonal and communication (verbal and written) skills and the ability to lead & influence cross functional and multinational teamsPreferred Skills: Experience with other cloud platforms such as AWS or Google Cloud. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with DevOps practices and CI/CD pipelines. Strong understanding of networking, security, and compliance in cloud environments. Knowledge of Microsoft CoPilot Studio and other Microsoft CoPilot applications Understanding of W365 and other VDI platforms

WHAT YOU WILL EXPERIENCE IN THIS POSITION: Manage and maintain Azure-based infrastructure, including provisioning, configuration, performance monitoring, and security Advance M365 and Azure feature adoption around data governance, compliance, cataloging, retention, etc Migrate local infrastructure services to cloud-based solutions such as Azure Ensure the security, scalability, and reliability of Azure solutionsDevelop and maintain automation scripts using tools like PowerShell, Azure CLI, and ARM templates Ensure compliance with security policies and best practices for Azure environments Stay up-to-date with emerging technologies and evaluate their suitability for the nVents infrastructure needs Provide technical expertise and guidance in resolving complex infrastructure issues and outages YOU HAVE: Bachelor's degree in Computer Science, Information Technology, or a related field Microsoft Certified: Azure Administrator Associate certification Minimum of 5 years of experience in cloud administration, with a focus on Azure Strong knowledge of Azure services, including Azure Active Directory, Azure Security, Azure ARC, and Azure DevOps Experience with Infrastructure as Code (IaC) using tools like ARM templates, Terraform, or Ansible Proficiency in scripting languages, especially PowershellAbility to communicate with clarity and simplicity on technical and non-technical matters spanning from strategy through to executionExcellent time management skills with the ability to multi-task and prioritize responsibilities for self and teamStrong interpersonal and communication (verbal and written) skills and the ability to lead & influence cross functional and multinational teams Preferred Skills: Experience with other cloud platforms such as AWS or Google Cloud Knowledge of containerization technologies like Docker and Kubernetes Familiarity with DevOps practices and CI/CD pipelines Strong understanding of networking, security, and compliance in cloud environments Knowledge of Microsoft CoPilot Studio and other Microsoft CoPilot applicationsUnderstanding of W365 and other VDI platforms

Note : This is for Background Verification Company Job Summary: We are looking for a dynamic and self-motivated PHP Full Stack Developer to join our team in Noida (Sector 57). The ideal candidate will have strong backend and frontend development skills, along with experience in database management, version control, and Linux environments. Knowledge of DevOps practices and web hosting will be considered a plus. Key Responsibilities: Develop, test, and maintain full stack web applications using PHP and front-end technologies. Design and manage MySQL databases; ensure data integrity and performance. Work with Linux-based servers for deployment, configuration, and maintenance. Implement and use version control systems (e.g., Git) in development workflows. Collaborate with team members to define project requirements and deliverables. Troubleshoot, debug, and upgrade existing systems. Ensure cross-platform optimization and responsiveness. Apply DevOps principles (CI/CD, automation) to streamline deployments (bonus). Manage or assist with web hosting, domain setup, and SSL configurations (bonus). Required Skills: Strong backend development experience using PHP (Laravel or CodeIgniter is a plus). Proficiency in front-end technologies: HTML, CSS, JavaScript (React or Vue is a bonus). Solid understanding of SQL and hands-on experience in database management. Experience working in Linux/Unix environments. Familiarity with Git or similar version control tools. Good problem-solving and communication skills. Ability to work independently and meet deadlines. Bonus Skills (Preferred but not mandatory): Experience with DevOps tools like Docker, Jenkins, etc. Basic knowledge of web hosting, cPanel, domain setup, and server configurations. Familiarity with cloud platforms like AWS, DigitalOcean, or Google Cloud.

Strong understanding of design patterns, distributed systems, microservices architecture, event driven design & RESTful APIs. Dexterity to quickly pick up, work on multiple languages, tech stacks & JAVA & prior exp on spring boot is a must. Required Candidate profile - Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. - Effective communication and collaboration abilities. - Experience in web-development and devops is a plus.

Hands on experience in Java/J2EE development including open-source technologies. Excellent communication skills, with varied experience. Passion for writing a lot of code and should work as Individual Contributor. Must have worked Cloud Technology (AWS, Google Cloud etc.), Agile methodology. Strong knowledge of key data structures/algorithms and system design fundamentals. Strong skills to architect systems and drive design conversation and feedback Experience with spring framework and spring boot experience is required. Experience with micro-service architecture, REST based APIs and enterprise SaaS products is required. Skills with unit testing and integration test between databases and endpoints Experience with continuous delivery/deployment pipeline for enterprise SaaS products is desirable. Strong SQL skills (complex queries) and experience in Data Modeling and RDBMS (MySQL) is a must. Experience with serviceability frameworks for logs/events/metrics of enterprise SaaS products desirable. Experience with distributed database with Postgres or Greenplum, NoSQL such as MongoDB Cassandra would be good to have. Experience with Docker and familiarity with Kubernetes is desirable. Experience with JUnit or TestNG, and performance testing API service. Experience working with remote teams and mentoring other team members is needed.

We are seeking a highly skilled and experienced Senior Full Stack/Backend Developer to join our dynamic team. This individual contributor role requires a professional who is adept at designing robust architectures and excels in comprehensive documentation. Your expertise in Java and Python will be crucial in building scalable backend services and contributing to full stack development as needed. Key Responsibilities: Architectural Design: Lead the architectural design of complex systems, ensuring scalability, performance, and security. Full Stack Development: Develop high-quality software solutions using Java and Python, contributing to both backend and full stack development. System Integration: Integrate various systems and APIs, ensuring seamless communication and data exchange. Code Review and Quality Assurance: Conduct thorough code reviews, ensuring adherence to coding standards and best practices. Performance Optimization: Identify and resolve performance bottlenecks, optimizing application performance and scalability. Collaboration: Work closely with cross-functional teams, including front-end developers, designers, product managers, and other stakeholders. Documentation: Create and maintain comprehensive documentation for software design, development processes, and system integrations. Ensure all architectural decisions are well-documented. Troubleshooting: Diagnose and debug complex issues in a timely manner, providing effective solutions to technical challenges. Required Qualifications: Experience: Minimum of 7+ years of experience in software development, with a focus on backend development and full stack capabilities. Technical Skills: Proficiency in Java and Python for backend development. Experience with front-end technologies such as HTML, C#, CSS, JavaScript, and modern frameworks (e.g., React, Angular, Vue.js). Strong understanding of database technologies Strong experience on Mulesoft Experience with microservices architecture and RESTful API development. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiar with DR solutions Design and implement prompt engineering solutions, optimizing models for performance and accuracy (nice to have) Knowledge of version control systems (e.g., Git) and CI/CD pipelines. Exceptional architectural design skills with a proven track record of designing scalable and maintainable systems. Strong documentation skills, with experience creating detailed and clear documentation for both technical and non-technical stakeholders. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and manage time effectively. Team player with a proactive and collaborative approach. Preferred Qualifications: Knowledge of Agile methodologies and experience working in Agile/Scrum teams. Familiarity with machine learning and data analytics frameworks. Integration experience - JAVA based middleware & Mulesoft (must have) Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Remote

My profile - linkedin.com/in/yashsharma1608 Position : AI Architect ( Gen AI ) Experience : 8 - 10 years Notice Period : Immediate to 15 days. Budget upto - 45 to 50 LPA Location : Bangalore. Note : - (any developer with minimum 3 to 4 years into AI), SaaS company mandatory. Product Based company Mandatory Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOps practices for model training, versioning, and deployment Lead the development of HR-specialized language models (SLMs) Implement model monitoring, observability, and performance optimization frameworks Develop and execute fine-tuning strategies for large language models Create and maintain data quality assessment and validation processes Design model versioning systems and A/B testing frameworks Define technical standards and best practices for AI development Optimize infrastructure for cost, performance, and scalability Required Qualifications 7+ years of experience in ML/AI engineering or related technical roles 3+ years of hands-on experience with MLOps and production ML systems Demonstrated expertise in fine-tuning and adapting foundation models Strong knowledge of model serving infrastructure and orchestration Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) Experience implementing model versioning and A/B testing frameworks Strong background in data quality methodologies for ML training Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with cloud-based ML platforms (AWS, Azure, Google Cloud) Proven track record of deploying ML models at scale Preferred Qualifications Experience developing AI applications for enterprise software domains Knowledge of distributed training techniques and infrastructure Experience with retrieval-augmented generation (RAG) systems Familiarity with vector databases (Pinecone, Weaviate, Milvus) Understanding of responsible AI practices and bias mitigation Bachelor's or Master's degree in Computer Science, Machine Learning, or related field What We Offer Opportunity to shape AI strategy for a fast-growing HR technology leader Collaborative environment focused on innovation and impact Competitive compensation package Professional development opportunities Flexible work arrangements Qualified candidates who are passionate about applying cutting-edge AI to transform HR technology are encouraged to apply

Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Strong proficiency in Python for data manipulation, statistical analysis, and machine learning (libraries like Pandas, NumPy, Scikit-learn). Expertise in supervised and unsupervised learning algorithms Use advanced analytics to optimize pricing strategies based on market demand, competitor pricing, and customer price sensitivity. Good to have skills: Familiarity with big data processing platforms like Apache Spark, Hadoop, or cloud-based platforms such as AWS or Google Cloud for large-scale data processing. Experience with ETL (Extract, Transform, Load) processes and tools like Apache Airflow to automate data workflows. Familiarity with designing scalable and efficient data pipelines and architecture. Experience with tools like Tableau, Power BI, Matplotlib, and Seaborn to create meaningful visualizations that present data insights clearly. Job Summary : The Retail Specialized Data Scientist will play a pivotal role in utilizing advanced analytics, machine learning, and statistical modeling techniques to help our retail business make data-driven decisions. This individual will work closely with teams across marketing, product management, supply chain, and customer insights to drive business strategies and innovations. The ideal candidate should have experience in retail analytics and the ability to translate data into actionable insights. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Gather and clean data from various retail sources, such as sales transactions, customer interactions, inventory management, website traffic, and marketing campaigns. Apply machine learning algorithms, such as classification, clustering, regression, and deep learning, to enhance predictive models. Use AI-driven techniques for personalization, demand forecasting, and fraud detection. Use advanced statistical methods help optimize existing use cases and build new products to serve new challenges and use cases. Stay updated on the latest trends in data science and retail technology. Collaborate with executives, product managers, and marketing teams to translate insights into business actions. Professional & Technical Skills : Strong analytical and statistical skills. Expertise in machine learning and AI. Experience with retail-specific datasets and KPIs. Proficiency in data visualization and reporting tools. Ability to work with large datasets and complex data structures. Strong communication skills to interact with both technical and non-technical stakeholders. A solid understanding of the retail business and consumer behavior. Programming Languages:Python, R, SQL, Scala Data Analysis Tools:Pandas, NumPy, Scikit-learn, TensorFlow, Keras Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn Big Data Technologies:Hadoop, Spark, AWS, Google Cloud Databases: SQL, NoSQL (MongoDB, Cassandra) Additional Information: - Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Bachelors or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

About GSPANN Founded in 2004, GSPANN is a fast-growing IT services and consulting company based in Milpitas, California, USA. We provide end-to-end content, e-commerce, information analytics, quality assurance, and digital transformation solutions to our global clients across retail, finance, healthcare, manufacturing, and high-technology domains. We support businesses transform how they deliver business value to their customers by helping them optimize their IT capabilities, practices, and operations, co-creating a digital future for their industries. GSPANN is a Great Place to Work-certified company with a growing family of 1800+ people. We have a strong presence in the US, UK, Canada, China, Chile, and Mexico and have multiple offices across India, including Hyderabad, Gurugram, Delhi, Noida, Pune, and Bangalore. Role: Kafka Engineers Experience: 3+ years Location: Hyderabad, Pune, Gurgaon Skills: Java, Kafka Job Description: Professional Experience of 4+ years in Java and Kafka Developer (programming language Java is preferrable) Demonstrated experience in writing or working with Kafka(Producers/ Consumers / Connectors/ kStream / KTable). Good to have Knowledge on - Google Cloud Platform Apps/Services - Dataflow, BigQuery, Kubernetes. Should be ready to work in rotational shifts. Should have excellent Debugging Skills (Splunk expertise added advantage). Have experience with working in client facing project. Perform technical analysis and development / implementation of applications with necessary customization. Participate in daily scrum, sprint planning, reviews, demos, retrospectives and grooming sessions. Troubleshoot and fix defects for planned releases and production issues. Provide estimates of the level of effort to implement the solution / fix issues. Proactively communicate with all stakeholders adhering to procedures of production support activities. Analyse and suggest improving system productivity, scaling and monitoring. Responsible for periodic deployments through recommended tools and methodologies. Adhere to coding best practices. Perform self and peer code reviews. Mentor junior team members. Provide daily, weekly updates and corresponding status reports to management. Ensure decent overlap / availability to match clients time zone. Exhibit team player ship collaborating with team members and cross scrum teams. If the above profile suits you then request, to share your updated profile with below HR details: Full Name- Email Id- Phone No- Total years of experience - Relevant experience Java- Relevant experience in Kafka- Rating on SQL (out of5 )- Are you comfortable to work in morning shift (6:30am-2pm): Any other Technology- Notice period - CTC- ECTC- Current company- Current location: Preferred location: Any offers, If yes, Pls mention- Interview availability; Pls mention the Date and Time Revert with your confirmation

Job Summary: We are seeking an experienced Engineering Manager to lead our software development team. The ideal candidate will have a strong background in Java, Spring Boot, databases, Kafka, and system design. As an Engineering Manager, you will be responsible for managing and mentoring a team of engineers, driving technical projects, and ensuring the successful delivery of high-quality software solutions. Key Responsibilities: Team Leadership: Lead and manage a team of software engineers, fostering a collaborative and high-performance culture. Mentor and provide guidance to team members, supporting their professional growth and development. Conduct regular performance reviews and provide constructive feedback. Technical Leadership: Drive the architectural design and implementation of complex software systems using Java, Spring Boot, and related technologies. Oversee the integration of Kafka for real-time data processing and messaging. Ensure best practices in database design, development, and optimization. Collaborate with product managers, designers, and other stakeholders to translate business requirements into technical solutions. Conduct code reviews, ensure code quality, and enforce coding standards. Project Management: Plan, prioritize, and manage multiple projects simultaneously, ensuring on-time delivery. Coordinate with cross-functional teams to align on project goals, timelines, and deliverables. Identify potential risks and implement mitigation strategies. System Design: Lead the design and development of scalable, reliable, and maintainable software systems. Evaluate and recommend tools, technologies, and processes to improve the development workflow. Ensure the security, performance, and scalability of systems. Communication: Communicate technical concepts and project status effectively to both technical and non-technical stakeholders. Foster a culture of transparency and open communication within the team. Required Qualifications: Bachelor's or Masters degree in Computer Science, Engineering, or a related field. 7+ years of software development experience, focusing on Java and Spring Boot. 3+ years of experience in a leadership or management role. Strong expertise in system design, with a track record of building scalable and robust software systems. Proficiency in working with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB). Experience with Apache Kafka or similar messaging systems. Strong problem-solving skills and a hands-on approach to troubleshooting complex issues. Excellent communication and interpersonal skills. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with microservices architecture and containerization (Docker, Kubernetes). Understanding of DevOps practices and CI/CD pipelines. Experience with Agile development methodologies.

The Opportunity We are seeking an experienced cloud engineer with exposure to FinOps & Cost Saving practices. The ideal candidate will possess strong expertise in cloud practices, FinOps principles, and cloud optimization tools. Additionally, they will collaborate closely with development teams leveraging CI/CD pipelines, containerized environments, and modern DevOps practices to deliver cost-effective, scalable solutions. Our cloud estate is 70% on GCP and the rest is on AWS, AZURE. Key Accountabilities and Responsibilities - Collaborate with development teams utilizing CI/CD pipelines and containerization technologies (e.g., Docker, Kubernetes) and help them deploy cost effective solution - Deployment & integration of tools like IBM Turbonomic and Cloudability to monitor and optimize cloud expenditures. - Implement tagging, resource allocation, and governance best practices across cloud platforms. - Conduct periodic audits of cloud resources to identify and eliminate inefficiencies. - Stay up-to-date on pricing models, new services, and best practices for AWS, GCP, and Azure. - Build automated deployment pipelines & IAC Required Skills and Qualifications - Hands-on experience on GCP cloud platform - Knowledge of FinOps practices would be advantageous. - Expertise in managing cloud costs for GCP, AWS and Azure environments. - Hands-on experience with tools like IBM Turbonomic and Cloudability would be advantageous. - Familiarity with CI/CD pipelines, containerized applications, and DevOps workflows. - Certification in GCP cloud platform is preferred. Preferred Skills - Experience with scripting and automation (Ansible, Terraform) for managing cloud resources. - Knowledge of cloud governance frameworks and ITIL processes. - Ability to communicate effectively with both technical and non-technical stakeholders Personal Profile Essential: - Understands business context and is driven to see analytics drive action and create value - Understand the importance of integrity in our work and commitment to transparency and truth in analytics - A resilient and enthusiastic who responds constructively to new ideas and input - Can explain complex problems and solutions to senior leaders and technical teams - An effective team player, actively develops and supports team members - A passionate continuous learner with curious mind. Desirable: - An individual with the ability to challenge existing thinking in a positive way whilst building credibility and trust through experience and personal style - Helps drive a culture of continuous improvement by identifying team weaknesses and potential solutions An individual with the capability to combine a short term, pragmatic focus with medium term planning

Shift : (GMT+05:30) Asia/Kolkata (IST) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Hiver) What do you need for this opportunity? Must have skills required: Ruby on Rails, Kafka, AWS, Google Cloud Hiver is Looking for: About us: Hiver gives teams the simplest way to deliver outstanding and personalized customer service. As a customer service solution built on Gmail, Hiver is intuitive, super easy to learn, and delightful to use. Hiver is used by thousands of teams at some of the best-known companies in the world to provide attentive, empathetic, and human service to their customers at scale. Were a top-rated product on G2 and rank very highly on customer satisfaction. At Hiver, we obsess about being world-class at everything we do. Our product is loved by our customers, our content engages a very wide audience, our customer service is one of the highest rated in the industry, and our sales team is as driven about doing right by our customers as they are by hitting their numbers. Were profitably run and are backed by notable investors. K1 Capital led our most recent rou of $27 million. Before that, we raised from Kalaari Capital, Kae Capital, and Citrix Startup Accelerator. Opportunity: ????????As a Software Development Engineer III at Hiver, you will have a critical role to play to build and scale our product to thousands of users globally. We are growing very fast and process over 5 million emails daily for thousands of active users on the Hiver platform. You will get a chance to work with and mentor a group of smart engineers as well as learn and grow yourself working with very good mentors. Youll get the opportunity to work on complex technical challenges such as making the architecture scalable to handle the growing traffic, building frameworks to monitor and improve the performance of our systems, and improving reliability and performance. Code, design, develop and maintain new product features. Improve the existing services for performance and scalability. What you will be working on? Build a new API for our users, or iterate on existing APIs in monolith applications. Build event-driven architecture using highly scalable message brokers like Kafka, RabbitMQ, etc. Build microservices based on the performance and efficiency needs. Build frameworks to monitor and improve the performance of our systems. Build and upgrade systems to securely store sensitive data. Design, build and maintain APIs, services, and systems across Hiver's engineering teams. Debug production issues across services and multiple levels of the stack. Work with engineers across the company to build new features at large-scale. Improve engineering standards, tooling, and processes. What we are looking for? Have worked in scaling backend systems over at least 5 years. Strong knowledge of Ruby on Rails (RoR) is required, with hands-on experience in at least one project Have worked on the microservice and event-driven architecture. Have worked on technologies like Kafka in building data pipelines with high volume of data. Enjoy and have experience building Lean APIs and amazing backend services. Think about systems and services and write high-quality code. We care much more about your general engineering skill than - knowledge of a particular language or framework. Have worked extensively with SQL Databases and understand NoSQL databases and Caches. Have experience Deploying applications on the cloud. We are on AWS, but experience with any cloud provider (GCP, Azure) would be great. Hold yourself and others to a high bar when working with production systems. Take pride in working on projects to successful completion involving a wide variety of technologies and systems. Thrive in a collaborative environment involving different stakeholders. Enjoy working with a diverse group of people with different expertise

Roles And Responsibilities: Design and develop robust backend systems and APIs using Node.js, leveraging its asynchronous, event-driven nature to ensure optimal performance and scalability. Collaborate closely with cross-functional teams, including frontend developers, designers, and product managers, to seamlessly integrate frontend and backend components, ensuring a cohesive and immersive user experience. Implement scalable data storage solutions using databases such as MySQL and MongoDB, optimizing database schema and queries for efficiency and performance. Architect and implement event-driven architectures using message brokers like Kafka and SQS (Simple Queue Service), enabling real-time processing of events and asynchronous communication between microservices. Ensure the security of backend systems and APIs by implementing best practices, such as input validation, authentication, and encryption, to protect sensitive user data and prevent unauthorized access. Write clean, maintainable code following industry best practices and coding standards, conduct thorough testing to identify and fix bugs, and document technical specifications to facilitate collaboration and knowledge sharing. Provide technical leadership, guidance, and mentorship to junior team members, fostering a culture of learning, innovation, and continuous improvement within the team. Requirements:: Bachelor's or Master's degree in Computer Science or a related field. Proficiency in Node.js and other server-side technologies, microservices architecture, RESTful APIs, and databases like MySQL and MongoDB. Familiarity with distributed systems, cloud platforms (e.g., AWS, Google Cloud), version control systems (e.g., Git), and CI/CD pipelines. Experience working with event-driven architecture and message brokers such as Kafka and SQS, preferably in the context of gaming or real-time applications. Strong problem-solving skills and the ability to troubleshoot complex issues in a fast-paced environment. Excellent communication skills, both written and verbal, with the ability to effectively collaborate with team members and stakeholders. Prior experience in Ecommerce Industry. A proactive mindset with a passion for learning and staying updated with the latest advancements in backend development and technology.