386 Cloud Platform Jobs - Page 8

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..)

Job Title Azure Developer Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Technology->Cloud Platform->Azure Development & Solution Architecting Preferred Skills: Technology->Cloud Platform->Azure Development & Solution Architecting Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Educational Requirements MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech Service Line Location- PAN INDIA

For Oracle DBA Applicants: Experience in RAC, RMAN, Dataguard, Exadata, Golden gate will be preferred. Basics of business domain to understand the business requirements Analytical abilities, Strong Technical Skills, Good communication skills Good understanding of the technology and domain Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods Awareness of latest technologies and trends Excellent problem solving, analytical and debugging skills Technical Skills- Technology->Cloud Platform->Databases on Azure->Azure SQL Database,Technology->Database->Database- ALL,Technology->Database->Oracle Database,Technology->Oracle Cloud->Oracle Knowledge->Oracle Knowledge Advanced,Technology->SQL SSIS->SQL Server Experience-> 3 & above Years can apply.

We're Hiring DevOps Engineer! We are looking for a skilled and motivated DevOps Engineer to join our dynamic team. The ideal candidate will have a strong background in software development and systems administration, with a focus on automating and optimizing our development processes. Work Mode: Hybrid Role: DevOps Engineer What You'll Do Design and implement CI/CD pipelines for efficient development workflows Collaborate with development teams to ensure seamless integration of applications Monitor system performance and troubleshoot issues proactively Automate operational processes using scripting languages Enhance security protocols within the DevOps practices Drive continuous improvement initiatives across the infrastructure What Were Looking For Minimum 3 years of experience in DevOps or related field Proficient with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) Strong knowledge of scripting languages (Python, Bash) Experience with configuration management tools (Ansible, Chef, Puppet) Excellent problem-solving skills and attention to detail Strong communication skills and ability to work collaboratively Ready to take your career to the next level" Apply now and be a part of our innovative journey! If interested please share your resume at contact@integeltechnology.com or Whatsapp it to 9842382074

QTLoads is seeking a talented and motivated Software Engineer with expertise in DevOps tools to join our team. As a Software Engineer, you will play a crucial role in automating the IT infrastructure and application deployment processes. Role & responsibilities DevOps and Cloud Automation : Implement and maintain automation pipelines for the deployment of AI/ML-based applications on cloud pltforms (e.g., AWS ) using Docker containers . Application Deployment : Collaborate with the development teams to design and execute efficient and reliable application deployment processes. Infrastructure Automation : Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration , and network endpoint configuration. Containerization : Assist in containerizing applications using Docker, ensuring scalability, portability, and security. Continuous Integration/Continuous Deployment (CI/CD) : Implement and enhance CI/CD pipelines to streamline the application deployment process. Monitoring and Logging : Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks. Security : Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure. Troubleshooting and Support : Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues. Documentation : Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless handover. Education and Requirements: Educational Background : Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 6-8 years of relevant experience in DevOps, cloud automation, and application deployment. DevOps Tools : Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes , etc. Cloud Platforms : Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc Docker : Solid understanding and practical experience with Docker containerization for application deployment. AI/ML and Models : Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous. Scripting and Automation : Proficient in scripting languages such as Python, Bash, or Shell for automating tasks. Networking : Knowledge of networking concepts and experience in configuring network endpoints and VPCs. Problem-Solving : Strong analytical and problem-solving skills to diagnose and resolve technical issues. Communication : Excellent communication and collaboration skills to work effectively with cross-functional teams and clients. Cloud Certifications : Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus.

As react native developer, you will join a team who is responsible for building and maintaining an innovative mobile application in a cloud environment on Azure. Responsibilities: As part of a scrum team, you'll contribute to the continuous development of the product features that are in the care of your team. Design and develop new user stories, create &review pull requests, document your work, perform research, communicate clearly about your progress. Troubleshoot issues and improve front-end performance. Together with your colleagues, you'll make sure the product features meets all functional and non-functional requirements. Producing clean, readable and testable code. Requirements: Thorough production-proven knowledge of the React ecosystem. Minimum 4+ years of experience of React Native and Typescript (be able to demonstrate contribution to a product build with React native). Experience with deploying mobile software: phased rollouts, feature flagging, CICD approach, build toolchain, App Store Connect, Play Store. Maturity towards collaboration be able to do PR reviews, check clean code, use and improve coding guidelines & concepts. Knowing how to make the app accessible to all users is an expectation. Working knowledge of Agile/Scrum. Skills & competences: Excellent knowledge of JavaScript, React and React Native. Able to write well-documented and clean Typescript code. Affinity with maintaining and evolving a code base to nourish high-quality code. Familiar with state management e.g. React Query. Experience with GraphQL and how GQL works vs REST api's. Knowledge of Node.js. Experience with automated testing suites like Jest. Familiar with one or more CI/CD environments: Gitlab CI, Github Actions, Circle CI, etc. Sufficient knowledge of the under lyingnative platform. (Obj-C/Swift/Java/Kotlin/Xcode/Gradle/Android Studio) Working experience in a SAFe environment is a plus. Strong problem-solving and critical-thinking abilities. Good communication skills that facilitate interaction. Confident, detail oriented and highly motivated to be part of a high-performing team. A positive mindset and continuous learning attitude. You have the ability to work under pressure and adhere to tight deadlines. Open for travel to Belgium.

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 : Cloud Security Architecture Good to have skills : AWS CloudFormationMinimum 7.5 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 various teams to ensure the architecture's viability, security, and performance while also creating proofs of concept to validate your designs. You will be responsible for managing the deployment of infrastructure and platform environments, ensuring that all components work harmoniously together to meet organizational goals and client needs. Your role will require a proactive approach to problem-solving and a commitment to delivering high-quality solutions in a dynamic environment.You must have knowledge on LAMP stack, Drupal, Laravel, SQL, JS, JS Frameworks, AWS Serverless, Cloudflare, Python, GitHub Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of cloud solutions to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Security Architecture.- Good To Have Skills: Experience with AWS CloudFormation.- Strong understanding of cloud security principles and best practices.- Experience with identity and access management in cloud environments.- Familiarity with compliance frameworks and risk management strategies. Additional Information:- The candidate should have minimum 7.5 years of experience in Cloud Security Architecture.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Integration Cloud Service (ICS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Role:CCS Integration DesignerIndustry :UtilitiesAs an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct regular team meetings to discuss progress and challenges- Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Integration Cloud Service (ICS), Integration experience in C&B (Customer care and billing), CCS modules- Strong understanding of cloud-based integration technologies- Experience in developing and implementing integration solutions- Knowledge of RESTful APIs and web services- Hands-on experience with Oracle Cloud Platform services Additional Information:- The candidate should have a minimum of 5 years of experience in Oracle Integration Cloud Service (ICS)- This position is based at our Chennai office- A 15 years full-time education is required Qualification 15 years full time education

Roles & Responsibilities: Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda Translates technical specifications and/or design models into code for new or enhancement projects (for internal or external clients). Develops code that reuses objects is well-structured includes sufficient comments and is easy to maintain Provides follow up Production support when needed. Submits change control requests and documents. Participates in design code and test inspections throughout the life cycle to identify issues and ensure methodology compliance. Participates in systems analysis activities including system requirements analysis and definition e.g. prototyping. Participates in other meetings such as those for use case creation and analysis. Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied. Assists in integration systems acceptance and other related testing as needed. Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests. Technical Skills Required Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark (on EMR) & Glue ETL Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code using CI/CD tools Bit bucket and Bamboo Strong AWS cloud computing experience. Extensive experience in Lambda S3 EMR Redshift Should have worked on Data Warehouse/Database technologies for at least 8 years. 7. Any AWS certification will be an added advantage.

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! IBM’s Cloud Services are focused on supporting clients on their cloud journey across any platform to achieve their business goals. It encompasses Cloud Advisory, Architecture, Cloud Native Development, Application Portfolio Migration, Modernization, and Rationalization as well as Cloud Operations. Cloud Services supports all public/private/hybrid Cloud deployments: IBM Bluemix/IBM Cloud/Red Hat/AWS/ Azure/Google and client private environments. Cloud Services has the best Cloud developer architect Complex SI, Sys Ops and delivery talent delivered through our GEO CIC Factory model. As a member of our Cloud Practice you will be responsible for defining and implementing application cloud migration, modernisation and rationalisation solutions for clients across all sectors. You will support mobilisation and help to lead the quality of our programmes and services, liaise with clients and provide consulting services including: Create cloud migration strategies; defining delivery architecture, creating the migration plans, designing the orchestration plans and more. Assist in creating and executing of migration run books Evaluate source cloud (Physical Virtual and Cloud) and target Workloads Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues and deploy applications to the cloud platform

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language. Data pipeline, data streaming and workflow management toolsDataflow, Pub Sub, Hadoop, spark-streaming Version control systemGIT & Preferable knowledge of Infrastructure as CodeTerraform. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions Preferred technical and professional experience Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable data stores. Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform

As an entry level Application Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In your role, you may be responsible for: Working across the entire system architecture to design, develop, and support high quality, scalable products and interfaces for our clients Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability Working with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery) Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language. Data pipeline, data streaming and workflow management toolsDataflow, Pub Sub, Hadoop, spark-streaming Version control systemGIT & Preferable knowledge of Infrastructure as CodeTerraform. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions. Preferred technical and professional experience Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable data stores. Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities includeComprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done. Expert in SQL – can do data analysis and investigation using Sql queries Implementation Knowledge Advance Sql functions like – Regular Expressions, Aggregation, Pivoting, Ranking, Deduplication etc. BigQuery and BigQuery Transformation (using Stored Procedures) Data modelling concepts – Star & Snowflake schemas, Fact & Dimension table, Joins, Cardinality etc Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Who you are: You are an IBM Cloud Software Development Engineer. You are talented, innovative and enthusiastic Software engineering professional who wants to develop and improve software that powers the Cloud and build the next generation cloud & security services to make our customers succeed. What you’ll do: You are a part of Cloud platform Service Engineering team. You are responsible for delivering infrastructure services with top-notch performance, first-rate security, fail-safe reliability and exceptional quality. You will be the key individual responsible for development of new cloud services on the IBM Cloud Platform. You will get to work with Fortune 100 Enterprise clients and build hyperscale cloud services for the largest companies in the world. We are a global team, so communication skills (both verbal and written) are critical as well as flexibility to work with team members in other time zones. How we’ll help you grow: You’ll have access to all the technical and management training courses to become the expert you want to be. You’ll learn directly from Senior members/leaders in this field. You'll have the opportunity to work with multiple clients. Required Professional and Technical Expertise Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 8+years of experience Demonstrated problem-solving and analytical skills Proficient in Python Proficient inAPI/RESTful development Experience asBash/Linux Admin Computer/Server hardware knowledge and working experience is a plus Experience with relational databases and SQL (Oracle, MySQL,MSSQL), also non-relational e.g. ETCD a plus. Experience in developing efficient automated unit / functional tests to support continuous integration for production code. Cloud computing Preferred technical and professional experience Experience in working agile/scrum development paradigm Experience in developing working software in small increments to support continuous delivery. Familiarity with Docker/Kubernetes Knowledege of TLS encryption and algorithms Knowledge of basic security practices