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Solid understanding of DevSecOps principles, CI/CD pipelines, and automation tools like Ansible, Jenkins, GitLab CI, BitBucket, or Azure DevOps, with a focus on security integration and automated testing at all stages.
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Develop automation scripts and manage the configuration and infrastructure as code (IaC) using tools such as Terraform, Ansible, or similar, with a strong emphasis on security. Lead the implementation of DevSecOps practices, including continuous integration, continuous delivery (CI/CD), and automated security testing, tailored for the Azure cloud environment.
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As a DevSecOps Engineer specializing in Azure Cloud, you will be responsible for designing, implementing and maintaining secure and scalable software systems and infrastructure. You will lead the implementation of DevSecOps best practices, specifically tailored for Azure, and collaborate with cross-functional teams to ensure security is integrated throughout the software development lifecycle.
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You will play a critical role in assessing our current IT infrastructure and driving our transformation efforts toward cloud migration, primarily on Microsoft Azure. 7+ years of experience in DevSecOps field, Cloud Solutions/Automation & DevSecOps Principles.
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Proven hands-on experience in cloud solutions and design for secure and compliant integration of applications on Microsoft Azure. Design and implement secure, scalable, and automated cloud-based solutions on Microsoft Azure to support application deployment and management.
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Preferred certifications related to AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Certified Cloud Security Professional (CCSP), and Certified Data Professional (CDP.
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Strong knowledge of scripting languages (e.g., PowerShell, Bash, Python) for automation tasks, with an emphasis on security-related automation. Proficiency in cloud security best practices and implementing them in an Azure environment.
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Proficient in Databricks, Microsoft T-SQL, SSIS, ADF, Visio, Word, Excel, Outlook, PowerPoint and Azure DevOps (will train) Develop in data technologies such as T-SQL, Microsoft Azure Data Factory, Databricks.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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For accelerating and driving innovative solutions at scale, Indium has developed strong intellectual properties such as teX.ai, which automates the text analytics lifecycle by leveraging ML, NLP, and Gen AI; ibriX, a pre-built accelerator for Databricks implementation lifecycle; uphoriX, a smart test automation platform; iDAF, an accelerator for end-to-end Data validation.
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Collaborate within an Agile development team to ensure that incremental capabilities are delivered each sprint and develop Incident Response (IR) automation scripts and reusable integrations for InfoSec technologies (e.g., Phantom, Demisto/XSOAR, Splunk, CrowdStrike, Office 365, Jira, MySQL, etc.
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Using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
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Experience with a wide range of Azure products and services, in domains such as Analytics, Data Warehousing, Databases, DevOps and Cloud Management toolset, Security, Storage etc. A strong focus on cloud solutions and design will be essential to support the seamless integration of applications on Azure.
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