Cloud jobs in India

As an AWS & Infrastructure Specialist, you will play a critical role in leading the migration of our infrastructure, designing scalable and secure cloud solutions, and optimizing our document and EDI platform. You'll collaborate closely with software engineers, architects, and other infrastructure teams to make key architectural decisions, ensure high performance and security, and oversee the successful transition to the cloud environment.

The Cloud Security Architect will play a critical role in shaping the future of our company's technology infrastructure, ensuring the security and compliance of our cloud services. This role is pivotal in safeguarding our systems and data in a fast-paced and innovative environment.

We are seeking a proficient Cloud Technical Architect DAP, well-versed in designing, developing, and managing robust, secure, scalable, highly available, and dynamic solutions using Cloud technologies. This position is pivotal in supporting the Technology department of our organization.

Your Responsibilities

• Architecture and Design: Work with software engineers and architects to make cloud architecture decisions, ensuring scalability, security, and performance of the platform.
• Process Improvement: Review and optimize cloud-related processes, ensuring smooth transitions and continuous improvement.
• Security Implementation: Evaluate, discuss, and implement security requirements, ensuring compliance with best practices for cloud applications.
• Concept Creation: Design cloud concepts focusing on scalability, security, and performance to meet business requirements.
• Documentation: Create clear and maintainable documentation to ensure transparency, effective knowledge transfer, and ease of operation in the cloud environment.

what we are looking for

Technical

• Cloud Platforms: Deep experience with AWS services, including Amazon Elastic Container Registry (ECR), Amazon RDS with Aurora Serverless, Amazon S3, and Amazon ECS with AWS Fargate.
• CI/CD & Automation: Experience with GitLab CI, EC2-based runners, and automation tools such as Renovate Bot and Semantic Release.
• Security: Knowledge of AWS Secrets Manager, AWS Systems Manager, and secure access configurations for cloud environments.
• Containerization & Orchestration: Hands-on experience with Docker, ECR, ECS, and container orchestration tools.
• Monitoring & Observability: Familiarity with Grafana, Prometheus, and OpenTelemetry for performance monitoring and metric capturing.
• Database & Storage: Experience with MySQL on Amazon RDS, Aurora Serverless, and file storage solutions like Amazon S3.
• Scripting & Configuration Management: Familiarity with AWS Lambda, Liquibase for schema management, and experience with configuration management for scalable cloud environments.
• Hands-on experience with software solutions in cloud environments.

Personal

• Require 7+ years of technology experience with trending technologies.
• At least 5+ years of experience in design and development of software, experience with large multinational organisations is highly preferred.
• Excellent communication and collaboration skills
• Strong analytical and problem-solving abilities.
• Proactive cost reduction, automation, and improvements in process efficiency.
• Ability to work independently and as part of a team.
• Highly motivated and results oriented.
• High Energy, able to motivate, collaborate and to generate followership.
• Strong communication skills, with demonstrated capability in engaging a large, distributed organisation.

We are seeking an experienced Sr. MLOps Specialist with deep expertise in AWS services and machine learning deployment best practices to design, build, and maintain scalable, secure, and automated ML pipelines.

The purpose of the Data Engineering specialist is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform

The Senior Engineer will participate in or undertake the technical analysis, specification, estimation, design, development, implementation and support of software solutions, working with business users, third parties, and other IT colleagues, as appropriate

The Software Engineer will participate in or undertake the technical analysis, specification, estimation, design, development, implementation and support of software solutions, working with business users, third parties, and other IT colleagues, as appropriate.

As a Sr. Systems Engineer, you will help develop, maintain, and secure our global infrastructure. The ideal candidate is a flexible, driven, diligent worker that can analyze the environment both as a whole and in detail to provide necessary business systems and services to the organization that meet business objectives and SLAs.

• Lead Cloud Migration: Drive the transition of data center-based infrastructure to AWS, focusing on containerization and the migration of up to 40 servers.
• Architecture & Design: Collaborate with software engineers and architects to design cloud-based solutions that are scalable, secure, and optimized for performance.

• Years of experience - Candidate must have 9-11 years of experience in technology.

• Years of experience - Candidate must have 9-11 years of experience in technology.

Technical

• Cloud Platforms: Extensive experience with AWS services, including Amazon ECS, Amazon RDS (with Aurora Serverless), Amazon S3, and AWS SQS
• Performance & Scalability: Proven ability to design and implement high-performance, scalable systems, ensuring applications can handle high loads and meet business needs.
• Containerization & Orchestration: Proficiency in Docker, ECS, Fargate, and container orchestration for deploying cloud-based applications.
• CI/CD & Automation: Hands-on experience with GitLab CI, EC2-based runners, and automation tools like Renovate Bot and Semantic Release to streamline
• Security & Compliance: Implementing best practices and company policies, working with e.g. AWS Security Hub
• Infrastructure as Code: AWS CDK, TypeScript, knowledge of Terraform welcome
• Database & Storage: Experience managing cloud-based databases, schema management, and scalable storage solutions like Amazon S3.
• Monitoring & Observability: Familiarity with Grafana, Prometheus, Datadog and OpenTelemetry for hybrid application monitoring and performance optimization.
• Software Engineering: Java, Maven, Sprint Boot experience is welcome

Personal

• Require 6+ years of technology experience with trending technologies.
• At least 5 years of experience in design and development of software, experience with large multinational organisations is highly preferred.
• Excellent communication and collaboration skills
• Strong analytical and problem-solving abilities.
• Proactive cost reduction, automation, and improvements in process efficiency.
• Ability to work independently and as part of a team.
• Highly motivated and results oriented.
• High Energy, able to motivate, collaborate and to generate followership.
• Strong communication skills, with demonstrated capability in engaging a large, distributed organisation.

Role Summary The Zone Network and Security Project Manager will be responsible for the co-ordination of designing, implementing, and maintaining secure IT infrastructure solutions. The role's main responsibility is to ensure the organization's IT systems remain resilient, compliant, and aligned with business objectives. The ideal candidate will have a strong technical background in network engineering and cybersecurity coupled with hands-on experience in project management and cross-functional collaboration. Experience with retail and cloud infrastructure a plus.Key Responsibilities

Project Management

• Lead network and system migration projects.
• Collaborate with suppliers and stakeholders, including Retail IT, to design and test IT infrastructure solutions.
• Ensure timely delivery and successful execution of IT and security projects.

Network Engineering and Security

• Advise and co-ordinate the design, configuration, and management of company network security infrastructure (e.g., Meraki, Fortinet, Zscaler).
• Lead the implementation and maintenance of secure WAN solutions (ADSL, MPLS, SD-WAN).
• Develop and enforce security compliance measures, including IPSec VPN management.
• Support global connectivity solutions, such as Meraki, Cloudi-fi, and Zscaler.
• Design, implement, and manage Zscaler Private Access (ZPA) solutions for secure remote access to internal applications across our 3500 retail stores in the Zone.
• Configure and optimize Zscaler Secure Internet Access (ZIA) policies for web security, threat prevention, and data loss prevention for our 3500 retail stores in the Zone.
• Troubleshoot and resolve issues related to Zscaler ZPA and ZIA deployments, ensuring optimal performance and security.

Cloud Infrastructure and Automation

• Working knowledge of cloud-based systems in Azure and AliCloud, including AAD server migrations.

Cybersecurity and Compliance

• Implement and support data loss prevention (DLP) tools such as CrowdStrike.
• Lead cybersecurity IT training where needed.

IT Systems Administration

• Monitor and maintain system performance using tools like ThousandEyes.
• Strong analytical skills and high proficiency in using PowerBI and Excel.

Collaboration and Support

• Manage access controls using SharePoint.
• Provide project workflow customization and ServiceNOW and Confluence knowledge base access management.
• Support cross-functional teams with IT tools, meeting room setups, and collaboration platforms (Teams, SharePoint, ServiceNOW, Confluence).

Qualifications and Skills

Technical Certifications (bonus but not required)

• CCNP (Cisco Certified Network Professional).
• PMP (Project Management Professional).
• Zscaler Certifications (e.g., Zscaler Certified Administrator, Zscaler Certified Professional) are a significant plus.

Technical Expertise

• Proficient in network technologies: Cisco Meraki, Palo Alto Firewalls.
• Strong skills in cloud technologies: Azure, AliCloud.
• Advanced knowledge of cybersecurity tools: CrowdStrike, CyberArk.
• Extensive hands-on experience with Zscaler, specifically Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) modules.

Preferred Experience

• 5+ years of experience in network engineering and cybersecurity roles.
• Proven track record in IT infrastructure management and cloud migration projects.

Demonstrated experience in deploying, configuring, and maintaining Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) in an enterprise environment, particularly within a large-scale retail contextLocation- Hyderabad

Mode- Hybrid, 3 Days WFO

elta Lake, and Unity Catalog-all on Azure Cloud. You'll play a critical role in ensuring data security (PII encryption), governance, and cost optimization, while mentoring a talented team of engineers.

A highly experienced AWS Technical Architect to lead the design, implementation, and optimization of cloud infrastructure solutions on the Amazon Web Services (AWS) platform

Job Title: Senior Quality Engineer (Automation & Manual Testing)Job Summary:We are seeking an experienced Quality Engineer to join our team, with a strong background in automation testing using Selenium and expertise in Behavior-Driven Development (BDD) using Cucumber framework. The ideal candidate will have a solid understanding of software testing principles, excellent manual testing skills, and the ability to work effectively in both automated and manual testing capacities. As a Senior Quality Engineer, you will play a key role in ensuring the quality of our software applications, collaborating with cross-functional teams, and contributing to the development of our testing strategies.

Key Responsibilities:

• Design, develop, and maintain automated test scripts using Selenium WebDriver, focusing on functional and regression testing
• Utilize BDD framework (Cucumber) to create and execute automated tests, ensuring test coverage and reliability
• Collaborate with development teams to identify and prioritize testing requirements, and develop test plans and strategies
• Execute manual testing as needed, including exploratory testing, usability testing, and ad-hoc testing
• Analyze and report defects, providing detailed descriptions and steps to reproduce issues
• Work closely with developers to reproduce and resolve defects, ensuring timely resolution and minimal impact on product quality
• Develop and maintain test automation frameworks, tools, and infrastructure to support testing efforts
• Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives
• Stay up-to-date with industry trends, tools, and best practices in software testing and automation

Requirements:

• 4+ years of experience in software testing, with a focus on automation testing using Selenium
• Strong expertise in Selenium WebDriver, including Java or other programming languages
• Experience with BDD framework (Cucumber) and behavior-driven development principles
• Excellent manual testing skills, with the ability to create test cases, test plans, and test scripts
• Strong understanding of software testing principles, including functional, regression, and exploratory testing
• Experience working in agile development environments, with familiarity with Scrum or Kanban methodologies
• Excellent analytical, problem-solving, and communication skills
• Ability to work collaboratively in a team environment, with a strong focus on quality and attention to detail
• Willingness to adapt to changing priorities and deadlines, with a flexible and proactive approach to testing

Nice to Have:

• Experience with other automation tools and frameworks, such as Appium, TestNG, or JUnit
• Knowledge of cloud-based testing platforms, such as Sauce Labs or TestObject
• Familiarity with containerization using Docker
• Experience with CI/CD pipelines, including Jenkins or other continuous integration tools
• Certification in software testing, such as ISTQB or CSTE

This is a mid-senior leadership role based in Mumbai (BKC), with full-time work from office. It requires leading IT ops, SAP cloud systems, and digital projects, while collaborating across departments to deliver secure, scalable, and business-aligned tech solutions. It's ideal for someone who wants to build, partner, and lead in a high-impact environment.

Hiring for a PE-Backed Portfolio Company - a cloud-first, omnichannel retail ERP suite provider headquartered in Gurgaon.

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

Location- GurgaonExternal Interfaces Internal Interfaces

* Contractor(s) - BPO Partners - Global CoE Data & Analytics team

* Vendors - Digital tools (SAP Ariba, Coupa, etc.)

* Vendors - Supplier Relation Management (SRM)

* Global Procurement GNFR

* Finance, accounting and Legal

* GNFR Stakeholders

* Global CoE - Data & AnalyticsJob Requirements Education

* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.

* MBA or relevant Master's degree preferred.Relevant Experience

* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.

* Proven success in leading or supporting largescale S2P initiatives.

* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills

* Strong analytical and problem-solving abilities.

* Excellent communication and stakeholder engagement skills.

* Proactive, organized, and adaptable in a fastpaced, global environment.

* Willingness to work flexible hours to collaborate across time zones.

* Strong project management mindset.Knowledge

* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.

* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).

* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.

* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.

* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.

* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.

* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)

* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).

* Collaborate with IT and cross-functional teams for seamless ERP integration.

* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence

* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.

* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.

* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management

* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.

* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.

* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance

* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.

* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance

We are looking for a highly skilled Salesforce Marketing Cloud (SFMC) Specialist to manage and optimize our SFMC platform, build personalized customer journeys, and ensure seamless integration with other systems.

This role involves leading Adobe Experience Manager (AEM) and Salesforce Marketing Cloud (SFMC) solutions within the technology department for a prominent business services company in Bangalore. The ideal candidate will drive innovative digital marketing initiatives and ensure seamless integration across platforms in the facilities management industry.

• Development of our R&D data management systems using cloud-based technologies
• Definition, implementation, documentation of individual software components

We are looking for hands-on experience in SAP BASIS, who have successfully led atleast 1 or 2 SAP S/4 HANA brownfield or greenfield conversions, specializing in SAP infrastructure, SAP HANA database, and cloud environments.

• 3-5 Years' experience in Salesforce Marketing Cloud Account Engagement (Pardot) implementations
• Understand end-to-end marketing processes including campaign creation (email/web/social), lead generation, lead scoring, qualification, distribution, and conversion, including closed loop reporting, by demonstrating CRM technologies and data.
• Understands APIs available in MCAE/Pardot to develop integration solutions, when necessary

We're looking for min. 3 years of exp in Reliability, Development, or Performance Engineering. Must have hands-on expertise with APM tools (New Relic, Datadog, Dynatrace), cloud platforms (AWS, Azure, GCP), observability tools (ELK, Grafana, Prometheus), and scripting (Python, Shell).

This Solution Architect role will drive the consolidation of multiple platforms into one unified, scalable digital ecosystem, much like a multi-module structure. The ideal candidate will have deep expertise in solution design, cloud technologies, CRM, and a startup-driven approach to innovation.

• Planning, design and implementation of voice and data communication networks
• Network monitoring/management, including monitoring and baselining of the network status
• Ensuring active network operation (on-call duty) and ensuring high availability (switching, routing, WLAN, security, cloud)
• Detection and elimination of bottlenecks (bandwidths, number of ports, KPIs, ...)