110 Cloudformation Jobs - Page 5

Implement, and manage scalable, secure, and reliable AWS infrastructure using AWS CDK (Cloud Development Kit). Automate infrastructure provisioning, configuration management, and deployment processes using AWS CDK, Ansible, and Jenkins. Develop and evolve Infrastructure as Code (IaC) to ensure efficient provisioning and management of AWS resources Develop and automate Continuous Integration/Continuous Deployment (CI/CD) pipelines for infrastructure provisioning and application deployment Configure and manage various AWS services, including but not limited to EC2, VPC, Security Group, NACL, S3, CloudFormation, CloudWatch, AWS Cognito, IAM, Transit Gateway, ELB, CloudFront, Route53, and more Implement and manage security best practices, including IAM policies, security groups, and encryption. Collaborate with development teams to ensure seamless integration of applications with AWS infrastructure. Monitor and troubleshoot infrastructure performance issues, ensuring high availability and reliability 5+ years of hands-on experience in DevOps and infrastructure engineering Strong expertise in AWS services, including EC2, S3, RDS, Lambda, VPC, CloudFormation, and CloudWatch. Proficiency in infrastructure as code (IaC) tools AWS CDK Experience with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline. Solid understanding of networking concepts, including VPC, subnets, routing, and security groups. In-depth experience with AWS storage services, certificate management and secrets management Strong scripting skills in languages such as Python, Bash, or PowerShell. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect) are a plus. Bachelors degree in computer science, Information Technology, or a related field.

Your Impact: We are seeking a highly skilled and experienced Lead Software Engineer to design, implement, and manage robust and scalable CI/CD pipelines using GitLab CI and other DevOps tools. The ideal candidate will have a deep understanding of infrastructure as code (IaC), cloud platforms (AWS, GCP, Azure), and automation techniques to streamline deployment and infrastructure management. This role requires expertise in Terraform, Ansible, Kubernetes, and Python to enhance operational efficiency and security. What the role offers: Define and lead the architectural vision for Helm-based installers and upgrade frameworks for Kubernetes applications. Design and optimize Helm charts to streamline installation, upgrades, and rollbacks. Establish best practices for Kubernetes-based deployments, scalability, and fault tolerance. Lead the evaluation and adoption of new tools and technologies in the Kubernetes ecosystem. Oversee security, compliance, and performance considerations in installation and upgrade processes. Provide technical leadership and mentorship to engineers in the Helm/Kubernetes domain. Troubleshoot and resolve complex deployment and upgrade issues. Stay up to date with emerging trends and advancements in Kubernetes, Helm, and cloud-native technologies. What you need to succeed: Bachelors or Masters degree in computer science, Information Technology, or a related field. 6 to 9 years of experience in software engineering or DevOps/CD. Strong understanding on Cloud Platforms: AWS, Azure, GCP, OpenShift Proficiency in Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation. Hands on experience with CICD pipelines, GitOps mythologies and automation framework. DevOps Tools: GitLab CI/CD, ArgoCD/FluxCD, Helm, Maven, NodeJs, JFrog Artifactory, SonarQube DataBase: Postgres Experience in Monitoring C Logging tools like Prometheus, Grafana. Automation C Scripting: Shell Script, Python Deep knowledge of security, networking, and performance optimization in Kubernetes environments. Strong problem-solving, leadership, and communication skills.

Job Title: Sr. Full Stack Engineer Location: Pune (Onsite) Experience: 6+ years Skills: React, TypeScript, Python, Node.js, GraphQL, AWS, CI/CD, Cypress, Linux Responsibilities: Develop & maintain scalable web apps, ensure security & performance, collaborate on new features, troubleshoot issues, and optimize applications. Bachelors or Masters degree in Computer Science, Information Technology, Software Engineering, or a related field.

Proficiency in Python AWS services and cloud architecture. microservices, APIs, and serverless computing. CI/CD pipelines, Docker, and Kubernetes. (SQL/NoSQL). (Terraform/CloudFormation).

Datamatics is a CMMI Level 5 company . Datamatics, a global Digital Solutions, Technology, and BPM Company, provides intelligent solutions for data-driven businesses to increase productivity and enhance the customer experience. With a completely digital approach, Datamatics portfolio spans across Information Technology Services, Business Process Management, Engineering Services, and Big Data & Analytics all powered by Artificial Intelligence. It has established products in Robotic Process Automation, Intelligent Document Processing, Business Intelligence, and Automatic Fare Collection. Datamatics services global customers across Banking, Financial Services, Insurance, Healthcare, Manufacturing, International Organizations, and Media & Publishing. The Company has a presence across 4 continents with major delivery centers in the USA, India, and Philippines. Job Role - Azure DevOps Architect Experience - 15+ Years Job Location - Mumbai & Bangalore - Work from office Note - We are looking for immediate joiners Roles & Responsibility 15+ years of overall IT experience and 7+ DevOps, with a focus on Azure. 12+years of IT experience and 6+ years of experience in DevSecOps Experience in Terraform, Azure Resource Manager (ARM0 templates, AWS CloudFormation, CDK or Terraform. Establish and manage CI/CD pipelines to automate the build, test, and deployment processes for cloud projects using Azure DevOps, Jenkins, Bamboo Experience with containerization technologies like Docker and Kubernetes Azure AKS, Helm chart Experience in monitoring and observability tools such as ELK, Prometheus, Data Dog, Azure Monitor Experience in Azure FinOps, cost controls, best practices Experience in Azure DevOps and Open source DevSecOps tools such as Jenkins, Bamboo, Maven, Gradle, Sonar etc. Experience in Sonar, Automated testing, JMeter Knowledge of scripting languages like PowerShell or Python. Strong understanding of networking, security, and governance in cloud environments. Familiarity with Agile and Scrum methodologies. Preferred Certifications: Microsoft Certified: AZ-400 Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert - Certifications Interested candidates can drop their resume at bhakti.rajwada@datamatics.com Or Can reach out on 9833233055 for further discussion.

Expertise in AWS, Python, Groovy, Jenkins, Terraform, and CI/CD. Must have hands-on experience with Docker, Kubernetes (EKS), cloud automation, Unix/Linux & Windows admin, and monitoring tools. Strong troubleshooting skills required.

4-6experience in (L2 Skills) (AWS, Python, Groovy, Jenkins)Terraform, and CI/CD automation. Must have expertise in cloud services (EC2, RDS, Lambda, EKS), infrastructure as code, and system administration. Strong troubleshooting skills required.

We are looking for a visionary Data Scientist to join our Data AI Studio. We specialize in building the next generation of digital products leveraging the latest user interface technologies and architectures, multi device techniques, big scale applications, component based systems, intelligent user interfaces, and the latest trends in user experience. Come join us in creating immersive experiences and building futuristic digital products. Location: Pune OR Bangalore (Working from client location)- Hybrid Model Experience: 8+ Years Job Description: Data Scientist About the Role, We are seeking a Data Scientist with over 8 years of experience to lead and implement advanced AI/ML solutions across cloud and on-premise infrastructures. The ideal candidate has strong technical expertise in machine learning, cloud services, and software engineering practices, complemented by a robust understanding of automation, data workflows, and modern DevOps techniques. Key Responsibilities- 1. Model Development Optimization: Design and implement machine learning models with a focus on performance, scalability, and adaptability to address real-world challenges. Monitor and mitigate model drift to maintain the accuracy and relevance of deployed solutions. 2. Cloud-Based Generative AI Solutions: Develop and deploy AI/ML applications using services like SageMaker, Bedrock, Code Whisperer, and Azure ARM. Optimize workflows for generative AI use cases on cloud platforms, ensuring seamless integration with existing systems. 3. Programming and Scripting: Write efficient code using Python, SQL, and Bash scripting for data analysis, model training, and deployment. Automate repetitive processes to improve operational efficiency. 4. Infrastructure CI/CD: Build and manage robust Infrastructure as Code (IaC) solutions to automate cloud resource provisioning. Integrate and utilize CI/CD tools to streamline code delivery and deployment pipelines. 5. Testing and Monitoring: Implement automated testing frameworks such as Selenium and pytest for quality assurance. Develop systems for continuous monitoring of APIs, data pipelines, and models in production. 6. Data Management APIs: Design and optimize databases, including NoSQL systems, for efficient data storage and retrieval. Build, maintain, and enhance RESTful APIs to enable seamless integration with external applications. 7. Collaboration and Documentation: Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Document workflows, architectures, and model outputs to ensure clarity and maintainability. Required Technical Expertise : Proficiency in Python, SQL, and Bash scripting for automation and analysis. Experience with cloud-based AI services like AWS SageMaker, Azure ML, and others. Hands-on knowledge of IaC tools (e.g., Terraform, CloudFormation). Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or CircleCI. Strong understanding of databases, including NoSQL technologies (e.g., MongoDB, Cassandra). Testing and Monitoring: Expertise in automated testing frameworks like Selenium and Pytest. Experience implementing model drift monitoring to ensure consistent performance. Certifications in cloud platforms (AWS, Azure, or GCP). Experience deploying large-scale generative AI models. Understanding of microservices architecture and containerization (e.g., Docker, Kubernetes).

8-13 years of exp in AWS, Python, Groovy, Jenkins. Strong in IaC (Terraform/CloudFormation), CI/CD (Bitbucket/GitHub, Jenkins), AWS services (EC2, RDS, Lambda, S3, EKS), Docker, Linux/Windows admin, monitoring (Prometheus, Grafana), &troubleshooting.

The Senior Cloud Security Engineer will lead the deployment, integration, and operationalization of the Cloud Security Posture Management and Cloud Workload Protection Platform within a multi-cloud environment. The Cloud Security Engineer will have very solid interpersonal skills, be a self-starter, and have a desire to maintain enterprise-wide visibility to initiatives related to cloud-based technologies and services. The Cloud Security Engineer is an individual contributor role with deep expertise in Cloud Security and Cloud Engineering best practices. Primary Responsibilities: Implement, maintain, and improve the CSPM and CWPP toolsets in a multi-cloud environment Design, implement and manage security controls to safeguard cloud infrastructure and data Conduct security assessments and audits to ensure compliance with federal regulations and standards (e.g. FedRAMP, NIST) Collaborate with cross functional teams to identify security requirements and develop solutions Develop and maintain security documentation including policies and procedures Stay current with emerging security threats and technologies, providing recommendations for continuous improvement Mentor and provide guidance to junior security engineers and other team members Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience 3+ years of experience in cloud security engineering with 2+ years in a senior or lead role 3+ years of experience working with a wide array of operating systems (e.g. Linux, Windows, Ubuntu, etc.) 2+ years of experience working directly in AWS, Azure or GCP in an enterprise environment 2+ years of experience in scripting and automation focused on cloud-based deployments utilizing languages/frameworks such as Python, Terraform, Cloudformation, etc. 2+ years of experience with container security and orchestration tools (Docker, Kubernetes, etc.) Experience with DevSecOps practices and integrating security into CI/CD pipelines Knowledge of advanced threat detection and response techniques Familiarity and in-depth knowledge of FedRAMP and NIST security frameworks and compliance standards Solid understanding of fundamental security principles/concepts (Networking, Encryption, IAM) Proven outstanding written and verbal communication skills, with the ability to work collaboratively in a team environment Proven excellent problem-solving skills, with the ability to analyze complex security issues and develop effective solutions Preferred Qualification: Relevant security certifications - CISSP or equivalent