About the job Principal Solution Engineer - Integrations Job Summary: We are looking for a dynamic and highly skilled Integration Specialist to join our Cloud Native Engineering team. The ideal candidate will bring strong experience in cloud infrastructure, API management, and secure integration design. You will lead technical solutioning efforts, drive platform architecture decisions, and collaborate closely with internal and external stakeholders to deliver scalable, secure, and high-performing solutions. Key Responsibilities: API Management: Manage and maintain API gateways such as Apigee, Kong, or AWS API Gateway . Define and enforce usage policies , rate limiting , and traffic control mechanisms . Security & Identity: Implement secure API access using OAuth2.0, SAML, OpenID Connect (OIDC), JWT, and API keys . Ensure compliance with authentication and authorization best practices. Solution Design & Customer Engagement: Engage directly with internal or external customers to gather requirements and define technical scope. Translate business needs into scalable and feasible technical solutions. Create architecture diagrams and ensure alignment with platform best practices and business objectives. Cloud Infrastructure & Automation: Design, deploy, and manage infrastructure on AWS, GCP, or Azure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation . Automate deployment and integration processes using scripting languages like Python or Bash . Observability & Reliability: Monitor infrastructure, APIs, and services using observability tools. Identify and resolve system issues promptly to ensure optimal performance and uptime. DevOps & CI/CD: Contribute to and support CI/CD pipelines to enable rapid and safe deployment of changes. Containerization & Orchestration: Experience with Docker for application packaging and scaling. Knowledge of Kubernetes (K8s) is a strong plus. Requirements: 5+ years of experience in cloud infrastructure, SRE, or systems engineering roles. Hands-on expertise with API management platforms and identity protocols . Strong knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies. Experience with IaC , DevOps practices , and automation/scripting (Python, Shell). Solid understanding of integration patterns , solution architecture , and technical documentation . Excellent communication , analytical , and problem-solving skills . Proven ability to work collaboratively with cross-functional teams and customers.
Job Summary: We are looking for a dynamic and highly skilled Integration Specialist to join our Cloud Native Engineering team. The ideal candidate will bring strong experience in cloud infrastructure, API management, and secure integration design. You will lead technical solutioning efforts, drive platform architecture decisions, and collaborate closely with internal and external stakeholders to deliver scalable, secure, and high-performing solutions. Key Responsibilities: API Management: Manage and maintain API gateways such as Apigee, Kong, or AWS API Gateway . Define and enforce usage policies , rate limiting , and traffic control mechanisms . Security & Identity: Implement secure API access using OAuth2.0, SAML, OpenID Connect (OIDC), JWT, and API keys . Ensure compliance with authentication and authorization best practices. Solution Design & Customer Engagement: Engage directly with internal or external customers to gather requirements and define technical scope. Translate business needs into scalable and feasible technical solutions. Create architecture diagrams and ensure alignment with platform best practices and business objectives. Cloud Infrastructure & Automation: Design, deploy, and manage infrastructure on AWS, GCP, or Azure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation . Automate deployment and integration processes using scripting languages like Python or Bash . Observability & Reliability: Monitor infrastructure, APIs, and services using observability tools. Identify and resolve system issues promptly to ensure optimal performance and uptime. DevOps & CI/CD: Contribute to and support CI/CD pipelines to enable rapid and safe deployment of changes. Containerization & Orchestration: Experience with Docker for application packaging and scaling. Knowledge of Kubernetes (K8s) is a strong plus. Requirements: 5+ years of experience in cloud infrastructure, SRE, or systems engineering roles. Hands-on expertise with API management platforms and identity protocols . Strong knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies. Experience with IaC , DevOps practices , and automation/scripting (Python, Shell). Solid understanding of integration patterns , solution architecture , and technical documentation . Excellent communication , analytical , and problem-solving skills . Proven ability to work collaboratively with cross-functional teams and customers.
We are looking for a motivated and technically proficient SharePoint Implementation & Migration Specialist to assist in the migration of on-premises file shares to SharePoint Online . The ideal candidate should have a solid understanding of SharePoint architecture, file system structures, and basic scripting. This role will support the design, planning, execution, and post-migration validation processes while working closely with senior consultants and end users. Key Responsibilities: Assist in the assessment of existing file shares , folder structures, and user access. Support the design and setup of SharePoint Online sites, libraries, and metadata . Execute migrations using tools such as ShareGate , Microsoft Migration Manager , or PowerShell scripts under guidance. Help maintain migration logs, track progress, and resolve minor issues or errors. Validate post-migration content, including permissions, file integrity , and metadata. Assist with user onboarding, basic training , and issue resolution post go-live. Support documentation of migration plans, mappings, and configurations. Collaborate with senior team members, project leads, and department stakeholders. Required Skills and Experience: 2 to 5 years of IT experience, including exposure to SharePoint Online or Microsoft 365. Hands-on experience or training with file server structures and basic NTFS permissions . Familiarity with SharePoint features like document libraries, versioning, and permissions . Exposure to migration tools like ShareGate , SPMT , or PowerShell scripting. Good understanding of Microsoft 365 tools (OneDrive, Teams, Outlook). Nice to Have: Basic PowerShell scripting knowledge. Experience with Microsoft Lists, Power Automate , or InfoPath/Forms. Prior involvement in data classification or cleanup initiatives. Familiarity with NetApp , Windows File Servers, or NAS systems is a plus. Soft Skills: Strong willingness to learn and grow in SharePoint and cloud platforms. Good communication and documentation skills. Ability to work collaboratively in a team environment. Detail-oriented, organized, and able to follow structured processes.
We are seeking a skilled DevOps Engineer to architect, lead, and execute strategy around GitLab/GitHub workflows, migrations, branching strategies, CI/CD pipeline deployments, and Kubernetes integrations. You will play a critical role in enhancing our DevOps practices and delivering seamless, automated deployment solutions for enterprise clients supported by tight SLAs and SRE best practices Location: Remote/Kochi Experience: 6+ Years Key Responsibilities: DevOps Strategy & Tooling Design and implement robust DevOps strategies aligned with organizational objectives (e.g., shift-left testing, infrastructure as code, release automation). Assess and recommend enhancements across CI/CD frameworks and branching workflows. Source Control & Branching Strategy Manage, optimize, and enforce best-of-breed practices in GitLab and/or GitHub, including branching models (Gitflow, trunk-based), merge strategies (MRs, PRs), and protected branch rules. Lead and execute migrations across Git platforms, ensuring version history integrity, compliance, and minimal workflow disruption. CI/CD Pipeline Design & Application Deployment Architect, automate, and maintain CI/CD pipelines using GitLab CI and/or GitHub Actions, leveraging both open-source and cloud-native tooling (e.g., Terraform, Helm, SonarQube, Appium) Deploy applications ("lift-and-shift" or modern microservices) to container platforms, integrating automated build, quality checks, and testing. Kubernetes Integration Design Kubernetes orchestration strategies, including Helm charts, deployments, namespaces, RBAC, and cluster lifecycle. Integrate CI/CD pipelines with Kubernetes environments (e.g., AKS, EKS, GKE) for streamlined deployment workflows Infrastructure as Code & Automation Define and manage infrastructure through IaC using tools like Terraform or Azure Resource Manager. Enable consistency, reproducibility, and efficiency via automated deployments, scaling, and maintenance workflows. Observability & Site Reliability Engineering (SRE) Partner with SREs to monitor applications and infrastructure across the CI/CD pipeline, ensuring reliability and uptime per SLAs Implement logging, monitoring, alerting, and incident response practices to meet performance and deployment SLAs. Collaboration & Continuous Improvement Work cross-functionally with developers, security engineers, and IT to implement best practices in automation, cost optimization, and compliance. Document processes, runbooks, and workflows clearly, and deliver training to internal teams Requirements: Proven experience (4+ years) with GitLab and/or GitHub, including branching strategy implementation, migrations, and CI/CD design. Strong understanding of DevOps methodologies and CI/CD orchestration. Hands-on experience with Kubernetes (AKS, EKS, GKE) and Helm charts. Proficiency in IaC tools like Terraform; cloud environments (Azure, AWS, GCP). Demonstrated experience deploying applications in containerized/cloud-native environments. Familiarity with monitoring, logging, and SRE practices.
About the job Senior DevOps Engineer We are seeking a skilled DevOps Engineer to architect, lead, and execute strategy around GitLab/GitHub workflows, migrations, branching strategies, CI/CD pipeline deployments, and Kubernetes integrations. You will play a critical role in enhancing our DevOps practices and delivering seamless, automated deployment solutions for enterprise clients supported by tight SLAs and SRE best practices Location: Remote/Kochi Experience: 6+ Years Key Responsibilities: DevOps Strategy & Tooling Design and implement robust DevOps strategies aligned with organizational objectives (e.g., shift-left testing, infrastructure as code, release automation). Assess and recommend enhancements across CI/CD frameworks and branching workflows. Source Control & Branching Strategy Manage, optimize, and enforce best-of-breed practices in GitLab and/or GitHub, including branching models (Gitflow, trunk-based), merge strategies (MRs, PRs), and protected branch rules. Lead and execute migrations across Git platforms, ensuring version history integrity, compliance, and minimal workflow disruption. CI/CD Pipeline Design & Application Deployment Architect, automate, and maintain CI/CD pipelines using GitLab CI and/or GitHub Actions, leveraging both open-source and cloud-native tooling (e.g., Terraform, Helm, SonarQube, Appium) Deploy applications ("lift-and-shift" or modern microservices) to container platforms, integrating automated build, quality checks, and testing. Kubernetes Integration Design Kubernetes orchestration strategies, including Helm charts, deployments, namespaces, RBAC, and cluster lifecycle. Integrate CI/CD pipelines with Kubernetes environments (e.g., AKS, EKS, GKE) for streamlined deployment workflows Infrastructure as Code & Automation Define and manage infrastructure through IaC using tools like Terraform or Azure Resource Manager. Enable consistency, reproducibility, and efficiency via automated deployments, scaling, and maintenance workflows. Observability & Site Reliability Engineering (SRE) Partner with SREs to monitor applications and infrastructure across the CI/CD pipeline, ensuring reliability and uptime per SLAs Implement logging, monitoring, alerting, and incident response practices to meet performance and deployment SLAs. Collaboration & Continuous Improvement Work cross-functionally with developers, security engineers, and IT to implement best practices in automation, cost optimization, and compliance. Document processes, runbooks, and workflows clearly, and deliver training to internal teams Requirements: Proven experience (4+ years) with GitLab and/or GitHub, including branching strategy implementation, migrations, and CI/CD design. Strong understanding of DevOps methodologies and CI/CD orchestration. Hands-on experience with Kubernetes (AKS, EKS, GKE) and Helm charts. Proficiency in IaC tools like Terraform; cloud environments (Azure, AWS, GCP). Demonstrated experience deploying applications in containerized/cloud-native environments. Familiarity with monitoring, logging, and SRE practices.
We are seeking a highly skilled Devops Engineer with strong expertise in Kubernetes-based ecosystems, container orchestration, and cloud-native technologies. The ideal candidate will have hands-on experience in designing, deploying, and managing large-scale containerized applications using SUSE Rancher, Kubernetes, and associated tools . You will work closely with cross-functional teams to build and optimize scalable, secure, and resilient infrastructure solutions. Key Responsibilities Design, implement, and maintain Kubernetes clusters using SUSE Rancher (RMS), RKE2 , and related orchestration tools. Manage centralized platforms through Rancher UI with proper RBAC implementation. Configure and optimize networking with Calico (CNI) and service discovery via CoreDNS . Implement container runtime environments with Containerd/Docker . Ensure container security and compliance using SUSE NeuVector and SELinux . Deploy and manage monitoring, observability, and logging stacks including: Grafana, Prometheus, Grafana Loki, Grafana Mimir, Grafana Alloy, Fluent Bit, kube-prometheus-stack, OpenTelemetry Collector, Prometheus Exporters . Manage storage and persistence solutions such as MinIO, Longhorn, NFS-CSI, and Harbour (Container Registry) . Administer and optimize database and middleware services: PostgreSQL 16 (with Master/Slave replication), PGPool2, NGINX (as Kubernetes Reverse Proxy) . Work with RHEL 8.5/9.0 environments and Linux command-line tools for infrastructure operations. Provide technical solutions, troubleshooting, and performance tuning for production systems. Collaborate with DevOps, security, and development teams to ensure best practices in containerized environments. Required Skills and Qualifications Proven hands-on experience with SUSE Rancher (RMS), RKE2 , and Kubernetes ecosystem. Strong knowledge of container runtimes ( Docker/Containerd ) and CNI plugins ( Calico ). Expertise in observability and monitoring stacks ( Prometheus, Grafana, Loki, Mimir, Fluent Bit, OpenTelemetry ). Good understanding of storage solutions ( MinIO, Longhorn, NFS-CSI, Container Registry - Harbour ). Practical experience with PostgreSQL replication, PGPool2 , and NGINX for load balancing/reverse proxy. Strong Linux administration skills (preferably RHEL 8.5/9.0 ) and proficiency with CLI tools. Experience with security frameworks ( SELinux, NeuVector ) in Kubernetes environments. Excellent troubleshooting, problem-solving, and communication skills. Preferred Qualifications Certifications in Kubernetes (CKA/CKS/CKAD) or Rancher . Hands-on experience in hybrid or multi-cloud Kubernetes deployments. Familiarity with CI/CD pipelines and DevOps practices. Experience in performance benchmarking and capacity planning for Kubernetes workloads.
As a Project Manager Intern at Adfolks, you will be an integral part of a high visibility and technically interesting project based in Kochi. Adfolks LLC is a Dubai-based technology services company with a focus on Data Science & Engineering, Cloud Services, Application Modernization, and Cyber Security in the Middle East region. As an Advanced Consulting Partner with AWS, Microsoft Azure Gold Partner, and Google Cloud Partner, Adfolks is the only KCSP in the region. Your role will involve: - Developing and maintaining project plans, timelines, and budgets - Coordinating and communicating with cross-functional teams to ensure project objectives are met - Defining project scope, goals, and deliverables - Identifying and managing project risks and issues - Monitoring and reporting project progress to stakeholders - Ensuring project documentation is accurate and up-to-date - Facilitating project meetings and providing regular updates to all stakeholders - Conducting project post-mortems to identify areas for improvement - Managing project budgets and tracking expenses - Developing and maintaining relationships with clients, vendors, and other stakeholders - Ensuring projects are completed within the allocated time and budget - Providing leadership and guidance to project team members - Mentoring and coaching team members to enhance their skills and performance Qualifications required: - Bachelor's degree in Business Administration, Marketing, or a related field - Minimum of 1 year of experience in project management; freshers will also be considered - Strong understanding of project management methodologies and tools - Excellent communication, organizational, and time management skills - Strong leadership skills and the ability to work well in a team environment - Proficiency in project management software and Microsoft Office Suite Join Adfolks as a Project Manager Intern to contribute to challenging cloud projects and gain valuable experience in a dynamic and innovative work environment. Visit our website at https://adfolks.com/ to learn more about us.,
Location: India Experience: 10+ years (5+ years in Azure) About the Role We are seeking an experienced Senior Azure Cloud Architect to lead the design, implementation, and governance of enterprise-grade cloud solutions. You will define cloud strategy, build scalable hybrid/multi-cloud architectures, and provide technical leadership to the cloud engineering team. Key Responsibilities Define and drive Azure architecture strategy, standards & best practices Design secure, scalable, cost-optimized Azure & hybrid cloud solutions Architect & implement IaC (Terraform/Bicep/ARM), DevOps & CI/CD pipelines Lead AKS/containerization, serverless, and automation initiatives Govern security, compliance, FinOps, DR/BCP frameworks Mentor cloud engineers, conduct architecture reviews, ensure delivery excellence Must-Have Skills Deep expertise in Azure compute, networking, storage, security, DevOps Strong IaC & automation knowledge (Terraform/Bicep/ARM, PowerShell/CLI) Hands-on with AKS, containers, CI/CD (Azure DevOps/GitHub Actions) Proven experience in large-scale Azure migrations & multi-region deployments Strong stakeholder communication & leadership skills Preferred Experience with Azure Arc, ExpressRoute, AKS, FinOps, Well-Architected Framework Certification: AZ-305, AZ-400, Azure security & network certifications (AZ-500 / AZ-700)
Role Overview: We are looking for a highly experienced Senior Data Architect to lead enterprise data and analytics strategy on AWS. This role will design and deliver scalable data platforms, data pipelines, and ML systems, while driving multi-cloud data architecture, governance, and technical leadership across teams. Key Responsibilities Define & lead enterprise data architecture and cloud data strategy (AWS-focused). Design scalable data lakes, lakehouse, DWH, streaming & analytics platforms. Architect & optimize AWS-based ETL/ELT, ML, and real-time data pipelines. Lead multi-cloud (AWS + Azure) and hybrid data integration initiatives. Implement data governance, security, quality, metadata & lineage frameworks. Mentor data engineering & data science teams; ensure architectural best practices. Required Skills 10+ years in data architecture / engineering, 5+ years on cloud platforms (AWS). Expertise with AWS data stack (S3, Glue, Redshift, Athena, EMR, Kinesis, Lake Formation). Strong data modeling (dimensional, Data Vault, lakehouse). Hands-on Python, PySpark, SQL & distributed systems (Spark, Kafka). ML platform experience (SageMaker, MLOps, pipelines & deployment). Multi-cloud experience (AWS + Azure) with data migration & modernization. Certifications (Mandatory) AWS Certified Data Analytics Specialty AWS Certified Machine Learning Specialty Azure Data Engineer Associate (DP-203) Nice to Have Additional AWS certifications (SA Pro / DevOps Pro) Azure DP-100, Databricks, Terraform / CloudFormation experience Experience with data mesh, data fabric, governance platforms (Alation/Collibra)
We are looking for an experienced Cloud Network Engineer to design, implement, and manage secure multi-cloud and hybrid network infrastructures across AWS, Azure, and on-prem environments. Key Responsibilities Architect and manage multi-cloud network infrastructure (AWS & Azure) Implement hybrid connectivity (Direct Connect, ExpressRoute, VPN, SD-WAN) Configure VPC/VNet, routing, DNS, firewalls, and load balancing Build secure, scalable, high-availability cloud network solutions Troubleshoot network performance and connectivity issues Work with cloud, security, and infra teams to deliver reliable solutions Document network designs and maintain best practices Requirements 6+ years of network engineering experience; strong cloud networking background AWS Advanced Networking Specialty & Azure Network Engineer (AZ-700) Mandatory Hands-on experience with VPC, VNet, Transit Gateway, ExpressRoute, VPN, routing (BGP/OSPF), firewalls Knowledge of SDN/NSX, automation (Terraform/Ansible/Python), and network security best practices Strong troubleshooting and communication skills Preferred Cisco CCNP/CCIE, VMware NSX certifications Experience with SD-WAN, monitoring tools, and enterprise networks
Role Overview: We are looking for a highly experienced Senior Data Architect to lead enterprise data and analytics strategy on AWS. This role will design and deliver scalable data platforms, data pipelines, and ML systems, while driving multi-cloud data architecture, governance, and technical leadership across teams. Key Responsibilities Define & lead enterprise data architecture and cloud data strategy (AWS-focused). Design scalable data lakes, lakehouse, DWH, streaming & analytics platforms. Architect & optimize AWS-based ETL/ELT, ML, and real-time data pipelines. Lead multi-cloud (AWS + Azure) and hybrid data integration initiatives. Implement data governance, security, quality, metadata & lineage frameworks. Mentor data engineering & data science teams; ensure architectural best practices. Required Skills 10+ years in data architecture / engineering, 5+ years on cloud platforms (AWS). Expertise with AWS data stack (S3, Glue, Redshift, Athena, EMR, Kinesis, Lake Formation). Strong data modeling (dimensional, Data Vault, lakehouse). Hands-on Python, PySpark, SQL & distributed systems (Spark, Kafka). ML platform experience (SageMaker, MLOps, pipelines & deployment). Multi-cloud experience (AWS + Azure) with data migration & modernization. Certifications (Mandatory) AWS Certified Data Analytics Specialty AWS Certified Machine Learning Specialty Azure Data Engineer Associate (DP-203) Nice to Have Additional AWS certifications (SA Pro / DevOps Pro) Azure DP-100, Databricks, Terraform / CloudFormation experience Experience with data mesh, data fabric, governance platforms (Alation/Collibra)
Location: India Experience: 10+ years (5+ years in Azure) About the Role We are seeking an experienced Senior Azure Cloud Architect to lead the design, implementation, and governance of enterprise-grade cloud solutions. You will define cloud strategy, build scalable hybrid/multi-cloud architectures, and provide technical leadership to the cloud engineering team. Key Responsibilities Define and drive Azure architecture strategy, standards & best practices Design secure, scalable, cost-optimized Azure & hybrid cloud solutions Architect & implement IaC (Terraform/Bicep/ARM), DevOps & CI/CD pipelines Lead AKS/containerization, serverless, and automation initiatives Govern security, compliance, FinOps, DR/BCP frameworks Mentor cloud engineers, conduct architecture reviews, ensure delivery excellence Must-Have Skills Deep expertise in Azure compute, networking, storage, security, DevOps Strong IaC & automation knowledge (Terraform/Bicep/ARM, PowerShell/CLI) Hands-on with AKS, containers, CI/CD (Azure DevOps/GitHub Actions) Proven experience in large-scale Azure migrations & multi-region deployments Strong stakeholder communication & leadership skills Preferred Experience with Azure Arc, ExpressRoute, AKS, FinOps, Well-Architected Framework Certification: AZ-305, AZ-400, Azure security & network certifications (AZ-500 / AZ-700)
We are looking for a Senior Cloud Security Architect to define and lead our cloud security strategy across AWS, Azure, and hybrid environments. This role will architect secure enterprise cloud solutions, drive zero-trust frameworks, strengthen IAM, and oversee security governance, compliance, and risk programs. Key Responsibilities Develop and execute enterprise cloud security strategy and standards Architect security solutions across AWS & Azure, covering IAM, data protection, network security, compliance, and monitoring Lead zero-trust architecture and secure cloud connectivity models Implement identity and access frameworks including SSO, MFA, PAM, RBAC/ABAC Design SOC, SIEM/SOAR, threat detection and incident response solutions Drive cloud governance, risk assessment, and compliance with global standards (ISO27001, SOC2, PCI, GDPR etc.) Integrate security into DevOps pipelines (DevSecOps) Mentor and guide technical security teams and collaborate with stakeholders Required Skills & Experience 10+ years in Information & Cloud Security, including 5+ years hands-on multi-cloud security (AWS & Azure) Strong expertise in IAM, network security, data security, encryption, security monitoring & compliance Hands-on experience with cloud security services (AWS Security Hub, GuardDuty, Azure Defender, Sentinel, Key Vault, KMS etc.) Knowledge of DevSecOps, IaC security, Kubernetes/container security Excellent communication & leadership skills Certifications (Mandatory) AWS Security Specialty Azure Security (AZ-500) Preferred: SC-200, CISSP/CCSP, OSCP, SC-100, Cloud Architect certifications
We are looking for a Senior Cloud Security Architect to define and lead our cloud security strategy across AWS, Azure, and hybrid environments. This role will architect secure enterprise cloud solutions, drive zero-trust frameworks, strengthen IAM, and oversee security governance, compliance, and risk programs. Key Responsibilities Develop and execute enterprise cloud security strategy and standards Architect security solutions across AWS & Azure, covering IAM, data protection, network security, compliance, and monitoring Lead zero-trust architecture and secure cloud connectivity models Implement identity and access frameworks including SSO, MFA, PAM, RBAC/ABAC Design SOC, SIEM/SOAR, threat detection and incident response solutions Drive cloud governance, risk assessment, and compliance with global standards (ISO27001, SOC2, PCI, GDPR etc.) Integrate security into DevOps pipelines (DevSecOps) Mentor and guide technical security teams and collaborate with stakeholders Required Skills & Experience 10+ years in Information & Cloud Security, including 5+ years hands-on multi-cloud security (AWS & Azure) Strong expertise in IAM, network security, data security, encryption, security monitoring & compliance Hands-on experience with cloud security services (AWS Security Hub, GuardDuty, Azure Defender, Sentinel, Key Vault, KMS etc.) Knowledge of DevSecOps, IaC security, Kubernetes/container security Excellent communication & leadership skills Certifications (Mandatory) AWS Security Specialty Azure Security (AZ-500) Preferred: SC-200, CISSP/CCSP, OSCP, SC-100, Cloud Architect certifications
As a highly experienced Senior Data Architect, your role will involve leading enterprise data and analytics strategy on AWS. You will design and deliver scalable data platforms, data pipelines, and ML systems. Your responsibility will also include driving multi-cloud data architecture, governance, and providing technical leadership across teams. Key Responsibilities: - Define and lead enterprise data architecture and cloud data strategy with a focus on AWS. - Design scalable data lakes, lakehouse, data warehousing (DWH), streaming, and analytics platforms. - Architect and optimize AWS-based ETL/ELT, ML, and real-time data pipelines. - Lead multi-cloud (AWS + Azure) and hybrid data integration initiatives. - Implement data governance, security, quality, metadata, and lineage frameworks. - Mentor data engineering and data science teams, ensuring adherence to architectural best practices. Qualifications Required: - 10+ years of experience in data architecture and engineering, with at least 5 years on cloud platforms (AWS). - Expertise with AWS data stack including S3, Glue, Redshift, Athena, EMR, Kinesis, and Lake Formation. - Strong data modeling skills in dimensional, Data Vault, and lakehouse approaches. - Proficiency in Python, PySpark, SQL, and distributed systems like Spark and Kafka. - Experience with ML platforms such as SageMaker, MLOps, pipelines, and deployment. - Familiarity with multi-cloud environments (AWS + Azure) including data migration and modernization. In addition to the qualifications, the following certifications are mandatory: - AWS Certified Data Analytics Specialty - AWS Certified Machine Learning Specialty - Azure Data Engineer Associate (DP-203) Nice to Have skills include: - Additional AWS certifications such as SA Pro or DevOps Pro. - Experience with Azure DP-100, Databricks, Terraform, or CloudFormation. - Knowledge of data mesh, data fabric, and governance platforms like Alation or Collibra.,
Role Overview: We are seeking a seasoned Senior Data Architect to lead enterprise data and analytics initiatives on Microsoft Azure and Microsoft Fabric . The role involves architecting, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation. Key Responsibilities: Define and implement Azure-based data architecture strategy covering data lakes, warehouses, and lakehouses. Lead Microsoft Fabric implementation including OneLake, data mesh, governance, and Power BI integration. Design data pipelines and modernization roadmaps using Azure Synapse, Data Factory, Databricks, and Purview. Architect AI/ML and MLOps frameworks leveraging Azure Machine Learning and Cognitive Services. Oversee enterprise BI solutions with Power BI for scalable analytics and governance. Ensure data security, governance, and quality compliance with Azure and Purview standards. Lead and mentor teams in data engineering, analytics, and AI practices. Required Qualifications: 10+ years in data architecture/engineering; 5+ years with Azure. Bachelors/Masters in Computer Science, Data Science, or related field. Certifications: DP-203 (Azure Data Engineer) AI-102 (Azure AI Engineer) DP-600 (Fabric Analytics Engineer) AWS Data Analytics Specialty Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services. Strong in data modeling , data governance , and multi-cloud architecture . Preferred: Certifications: DP-100, DP-300, PL-300. Experience in Microsoft Fabric adoption , multi-cloud architecture (Azure + AWS) , Power BI governance , and Azure AI services . Knowledge of data mesh , DataOps , MLOps , and Generative AI use cases. Soft Skills: Strong leadership, communication, and stakeholder management. Strategic thinker with hands-on technical depth. Passion for continuous learning and emerging Azure technologies.
About the job Azure DevOps Lead Engineer Role Overview We are looking for a skilled Azure DevOps Lead Engineer to drive DevOps transformation initiatives across Azure and multi-cloud environments. The ideal candidate will design and implement CI/CD pipelines, Infrastructure as Code (IaC), automation, and containerization solutions. This role involves setting DevOps strategy, implementing GitOps practices, and mentoring engineering teams to ensure secure, scalable, and efficient delivery pipelines. Key Responsibilities Define and execute enterprise-level DevOps strategy and automation frameworks. Architect and manage CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD. Implement Infrastructure as Code (IaC) using Terraform, ARM, or Bicep for scalable cloud infrastructure. Lead Kubernetes (AKS) design, deployment, and management with GitOps tools (ArgoCD/Flux CD). Integrate DevSecOps practicessecurity scanning, compliance automation, and secrets management. Drive monitoring and observability using Azure Monitor, Application Insights, and Prometheus. Lead automation initiatives for deployments, incident response, and FinOps optimization. Mentor DevOps teams and collaborate with stakeholders to align DevOps capabilities with business goals. Qualifications 7+ years in DevOps or platform engineering, including 4+ years in Azure DevOps environments. Bachelors in Computer Science, IT, or related field. Mandatory certifications: AZ-204 (Azure Developer Associate) AZ-400 (Azure DevOps Engineer Expert) Terraform Associate CKA or CKAD (Kubernetes certification) Strong hands-on experience in: CI/CD (Azure DevOps, GitHub, Jenkins) IaC (Terraform, ARM/Bicep) Containers & AKS PowerShell/Python scripting Monitoring tools (Azure Monitor, Grafana, Prometheus) Preferred Skills Advanced Azure or Kubernetes certifications (CKS, Architect Expert). Experience in GitOps, serverless automation, FinOps, and SRE practices. Knowledge of policy-as-code, cost optimization, and compliance automation. Strong leadership, communication, and mentoring skills.
About the job Azure Data Architect Role Overview: We are seeking a seasoned Senior Data Architect to lead enterprise data and analytics initiatives on Microsoft Azure and Microsoft Fabric . The role involves architecting, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation. Key Responsibilities: Define and implement Azure-based data architecture strategy covering data lakes, warehouses, and lakehouses. Lead Microsoft Fabric implementation including OneLake, data mesh, governance, and Power BI integration. Design data pipelines and modernization roadmaps using Azure Synapse, Data Factory, Databricks, and Purview. Architect AI/ML and MLOps frameworks leveraging Azure Machine Learning and Cognitive Services. Oversee enterprise BI solutions with Power BI for scalable analytics and governance. Ensure data security, governance, and quality compliance with Azure and Purview standards. Lead and mentor teams in data engineering, analytics, and AI practices. Required Qualifications: 10+ years in data architecture/engineering; 5+ years with Azure. Bachelors/Masters in Computer Science, Data Science, or related field. Certifications: DP-203 (Azure Data Engineer) AI-102 (Azure AI Engineer) DP-600 (Fabric Analytics Engineer) AWS Data Analytics Specialty Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services. Strong in data modeling , data governance , and multi-cloud architecture . Preferred: Certifications: DP-100, DP-300, PL-300. Experience in Microsoft Fabric adoption , multi-cloud architecture (Azure + AWS) , Power BI governance , and Azure AI services . Knowledge of data mesh , DataOps , MLOps , and Generative AI use cases. Soft Skills: Strong leadership, communication, and stakeholder management. Strategic thinker with hands-on technical depth. Passion for continuous learning and emerging Azure technologies.
Role Overview: We are seeking a seasoned Senior Data Architect to lead enterprise data and analytics initiatives on Microsoft Azure and Microsoft Fabric . The role involves architecting, implementing, and governing scalable, secure, and high-performing data solutions that drive business insights and AI innovation. Key Responsibilities: Define and implement Azure-based data architecture strategy covering data lakes, warehouses, and lakehouses. Lead Microsoft Fabric implementation including OneLake, data mesh, governance, and Power BI integration. Design data pipelines and modernization roadmaps using Azure Synapse, Data Factory, Databricks, and Purview. Architect AI/ML and MLOps frameworks leveraging Azure Machine Learning and Cognitive Services. Oversee enterprise BI solutions with Power BI for scalable analytics and governance. Ensure data security, governance, and quality compliance with Azure and Purview standards. Lead and mentor teams in data engineering, analytics, and AI practices. Required Qualifications: 10+ years in data architecture/engineering; 5+ years with Azure. Bachelors/Masters in Computer Science, Data Science, or related field. Certifications: DP-203 (Azure Data Engineer) AI-102 (Azure AI Engineer) DP-600 (Fabric Analytics Engineer) AWS Data Analytics Specialty Expertise in: Azure Synapse, Data Factory, Databricks, Fabric, Power BI, Purview, and ML services. Strong in data modeling , data governance , and multi-cloud architecture . Preferred: Certifications: DP-100, DP-300, PL-300. Experience in Microsoft Fabric adoption , multi-cloud architecture (Azure + AWS) , Power BI governance , and Azure AI services . Knowledge of data mesh , DataOps , MLOps , and Generative AI use cases. Soft Skills: Strong leadership, communication, and stakeholder management. Strategic thinker with hands-on technical depth. Passion for continuous learning and emerging Azure technologies.
Role Overview We are looking for a skilled Azure DevOps Lead Engineer to drive DevOps transformation initiatives across Azure and multi-cloud environments. The ideal candidate will design and implement CI/CD pipelines, Infrastructure as Code (IaC), automation, and containerization solutions. This role involves setting DevOps strategy, implementing GitOps practices, and mentoring engineering teams to ensure secure, scalable, and efficient delivery pipelines. Key Responsibilities Define and execute enterprise-level DevOps strategy and automation frameworks. Architect and manage CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD. Implement Infrastructure as Code (IaC) using Terraform, ARM, or Bicep for scalable cloud infrastructure. Lead Kubernetes (AKS) design, deployment, and management with GitOps tools (ArgoCD/Flux CD). Integrate DevSecOps practicessecurity scanning, compliance automation, and secrets management. Drive monitoring and observability using Azure Monitor, Application Insights, and Prometheus. Lead automation initiatives for deployments, incident response, and FinOps optimization. Mentor DevOps teams and collaborate with stakeholders to align DevOps capabilities with business goals. Qualifications 7+ years in DevOps or platform engineering, including 4+ years in Azure DevOps environments. Bachelors in Computer Science, IT, or related field. Mandatory certifications: AZ-204 (Azure Developer Associate) AZ-400 (Azure DevOps Engineer Expert) Terraform Associate CKA or CKAD (Kubernetes certification) Strong hands-on experience in: CI/CD (Azure DevOps, GitHub, Jenkins) IaC (Terraform, ARM/Bicep) Containers & AKS PowerShell/Python scripting Monitoring tools (Azure Monitor, Grafana, Prometheus) Preferred Skills Advanced Azure or Kubernetes certifications (CKS, Architect Expert). Experience in GitOps, serverless automation, FinOps, and SRE practices. Knowledge of policy-as-code, cost optimization, and compliance automation. Strong leadership, communication, and mentoring skills.
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