Key Responsibilities: Analyze existing on-premises application architecture and identify migration requirements. Design scalable, reliable, and secure cloud-based architecture on GCP utilizing Kubernetes for container orchestration. Develop detailed technical architecture and migration roadmaps. Collaborate with cross-functional teams including developers, DevOps, security, and infrastructure. Lead the implementation of migration strategies, ensuring minimal downtime and data integrity. Define best practices for cloud-native application development and deployment. Optimize application performance, security, and cost-efficiency in the cloud environment. Provide technical guidance, mentorship, and support to development teams. Ensure compliance with industry standards and organizational policies. Qualifications: Proven experience as a Java architect with extensive experience in designing large-scale enterprise applications. In-depth knowledge of GCP services, such as Compute Engine, GKE, Cloud Storage, Cloud SQL, etc. Strong expertise in Kubernetes, Docker, and container orchestration. Experience in migrating applications from on-premises infrastructure to cloud environments. Solid understanding of microservices architecture, CI/CD pipelines, and DevOps practices. Familiarity with security best practices in cloud environments. Excellent problem-solving, communication, and leadership skills. Relevant certifications (e.g., GCP Professional Cloud Architect, Kubernetes certifications) are a plus. Preferred Skills: Experience with other cloud providers (AWS, Azure). Knowledge of infrastructure-as-code tools such as Terraform or Cloud Deployment Manager. Prior experience with monitoring and logging tools such as Prometheus, Grafana, Stackdriver.
May 20, 2026
Contractor
Key Responsibilities: Analyze existing on-premises application architecture and identify migration requirements. Design scalable, reliable, and secure cloud-based architecture on GCP utilizing Kubernetes for container orchestration. Develop detailed technical architecture and migration roadmaps. Collaborate with cross-functional teams including developers, DevOps, security, and infrastructure. Lead the implementation of migration strategies, ensuring minimal downtime and data integrity. Define best practices for cloud-native application development and deployment. Optimize application performance, security, and cost-efficiency in the cloud environment. Provide technical guidance, mentorship, and support to development teams. Ensure compliance with industry standards and organizational policies. Qualifications: Proven experience as a Java architect with extensive experience in designing large-scale enterprise applications. In-depth knowledge of GCP services, such as Compute Engine, GKE, Cloud Storage, Cloud SQL, etc. Strong expertise in Kubernetes, Docker, and container orchestration. Experience in migrating applications from on-premises infrastructure to cloud environments. Solid understanding of microservices architecture, CI/CD pipelines, and DevOps practices. Familiarity with security best practices in cloud environments. Excellent problem-solving, communication, and leadership skills. Relevant certifications (e.g., GCP Professional Cloud Architect, Kubernetes certifications) are a plus. Preferred Skills: Experience with other cloud providers (AWS, Azure). Knowledge of infrastructure-as-code tools such as Terraform or Cloud Deployment Manager. Prior experience with monitoring and logging tools such as Prometheus, Grafana, Stackdriver.
Responsibilities Define and drive enterprise-wide cloud and data architecture strategies, roadmaps, and governance frameworks aligned to business objectives. Design and implement scalable, secure, and resilient cloud-native solutions across Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP environments. Lead cloud transformation and migration initiatives including hybrid cloud and multi-cloud architectures. Establish and oversee enterprise data architecture frameworks such as Data Mesh, Lakehouse, and Data Fabric. Drive adoption of modern architecture patterns including microservices, APIs, event-driven architectures, and real-time data processing. Define and enforce architecture standards, security controls, compliance policies, and governance best practices. Collaborate with business stakeholders, product owners, engineers, and platform teams to deliver scalable and efficient technology solutions. Identify opportunities to modernise platforms, reduce technical debt, improve performance, and optimise cloud and operational costs. Required Skills Extensive experience in Enterprise Architecture, Cloud Architecture, or Data Architecture within large-scale enterprise environments. Strong expertise in cloud platforms including Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP. Proven experience designing cloud-native, scalable, secure, and highly available enterprise solutions. Strong knowledge of modern data platforms and technologies including Data Lakes, Lakehouse, ETL/ELT, Kafka, and Spark. Expertise in microservices, APIs, event-driven architectures, integration patterns, and distributed systems design. Good understanding of data governance, cloud security, compliance frameworks, and enterprise risk management. Experience with DevOps, CI/CD pipelines, Infrastructure-as-Code, Kubernetes, Docker, and automation practices. Strong stakeholder management, communication, analytical, and problem-solving skills with the ability to influence technical and business decision
May 19, 2026
Contractor
Responsibilities Define and drive enterprise-wide cloud and data architecture strategies, roadmaps, and governance frameworks aligned to business objectives. Design and implement scalable, secure, and resilient cloud-native solutions across Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP environments. Lead cloud transformation and migration initiatives including hybrid cloud and multi-cloud architectures. Establish and oversee enterprise data architecture frameworks such as Data Mesh, Lakehouse, and Data Fabric. Drive adoption of modern architecture patterns including microservices, APIs, event-driven architectures, and real-time data processing. Define and enforce architecture standards, security controls, compliance policies, and governance best practices. Collaborate with business stakeholders, product owners, engineers, and platform teams to deliver scalable and efficient technology solutions. Identify opportunities to modernise platforms, reduce technical debt, improve performance, and optimise cloud and operational costs. Required Skills Extensive experience in Enterprise Architecture, Cloud Architecture, or Data Architecture within large-scale enterprise environments. Strong expertise in cloud platforms including Microsoft Azure Azure, Amazon Web Services AWS, and Google Cloud GCP. Proven experience designing cloud-native, scalable, secure, and highly available enterprise solutions. Strong knowledge of modern data platforms and technologies including Data Lakes, Lakehouse, ETL/ELT, Kafka, and Spark. Expertise in microservices, APIs, event-driven architectures, integration patterns, and distributed systems design. Good understanding of data governance, cloud security, compliance frameworks, and enterprise risk management. Experience with DevOps, CI/CD pipelines, Infrastructure-as-Code, Kubernetes, Docker, and automation practices. Strong stakeholder management, communication, analytical, and problem-solving skills with the ability to influence technical and business decision
Key Responsibilities Develop, test, and maintain high-performance backend applications using Python Design and build RESTful APIs using FastAPI Automate deployment, configuration, and infrastructure management using Ansible Collaborate with DevOps teams to implement and maintain CI/CD pipelines Manage cloud-based infrastructure and containerized applications (Docker/Kubernetes) Write clean, efficient, and reusable code following best practices Troubleshoot, debug, and optimize application performance Ensure security, scalability, and reliability of systems
May 18, 2026
Contractor
Key Responsibilities Develop, test, and maintain high-performance backend applications using Python Design and build RESTful APIs using FastAPI Automate deployment, configuration, and infrastructure management using Ansible Collaborate with DevOps teams to implement and maintain CI/CD pipelines Manage cloud-based infrastructure and containerized applications (Docker/Kubernetes) Write clean, efficient, and reusable code following best practices Troubleshoot, debug, and optimize application performance Ensure security, scalability, and reliability of systems
Banking/FS experience is must. Required Skills & Experience Strong hands-on experience with Red Hat OpenShift (deployment, scaling, troubleshooting) Proficiency in Ansible for configuration management and automation Solid understanding of Kubernetes architecture and container orchestration Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools
May 17, 2026
Contractor
Banking/FS experience is must. Required Skills & Experience Strong hands-on experience with Red Hat OpenShift (deployment, scaling, troubleshooting) Proficiency in Ansible for configuration management and automation Solid understanding of Kubernetes architecture and container orchestration Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) Strong knowledge of Linux/Unix systems administration Familiarity with Docker/containerization technologies Experience with cloud platforms (AWS, Azure, or GCP) Good scripting skills (Bash, Python, or similar) Understanding of networking, security, and monitoring tools
