cloud platform engineer

Gargash Group

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  Job Purpose:
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  The Developer Automation and Azure Platform is responsible for designing, implementing, and managing automation processes and cloud infrastructure solutions on the Microsoft Azure platform. This job ensures scalable, secure, and highly available infrastructure and services. The Developer Automation and Azure Platform plays a crucial part in optimising cloud operations, deploying automated processes, and driving continuous improvement within the Azure environment.
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  Responsibilities:
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  &bull;Design and develop automated workflows, scripts, and tools to streamline development, deployment, and operational tasks across Azure environments.
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  &bull;Leverage automation tools such as PowerShell, Azure CLI, and ARM/Bicep templates to create Infrastructure-as-Code (IaC) solutions.
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  &bull;Implement Continuous Integration (CI) and Continuous Deployment (CD) pipelines using Azure DevOps and other related automation tools.
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  &bull;Automate routine tasks to reduce manual interventions and enhance system performance.
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  &bull;Design and implement scalable and secure cloud solutions on the Azure platform, ensuring best practices for cloud governance, security, and compliance.
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  &bull;Manage Azure resources, including virtual machines, storage, networking, and databases, ensuring availability and performance.
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  &bull;Collaborate with DevOps and Cloud Architecture teams to monitor and optimize Azure services for cost and performance efficiency.
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  &bull;Ensure effective logging, monitoring, and alerting across the Azure infrastructure to detect and respond to incidents promptly.
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  &bull;Provide operational support for cloud-based applications and services, identifying and resolving any platform-related issues.
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  &bull;Support the integration of Azure solutions with on-premises infrastructure where necessary.
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  &bull;Troubleshoot and resolve issues in development, testing, and production environments by applying automation and configuration management tools.
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  &bull;Promote DevOps culture by driving continuous integration, delivery, and deployment automation processes.
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  &bull;Collaborate with cross-functional teams, including developers, system administrators, and quality assurance, to deliver high-quality, automated cloud solutions.
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  &bull;Work within Agile frameworks to deliver incremental improvements to automation, cloud infrastructure, and platform management.
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  &bull;Ensure all Azure resources comply with organizational security policies and industry best practices.
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  &bull;Work closely with security teams to implement secure coding and automation practices.
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  &bull;Regularly assess and improve security measures across Azure environments, ensuring compliance with relevant standards and frameworks.
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  &bull;Uphold company values throughout business practices and utilise sound judgment in decision making.
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  &bull;Any other additional duties as may be required by management based on needs of the business.
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  Requirements:
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  &bull;Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
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  &bull;Proven experience in cloud computing, specifically Microsoft Azure.
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  &bull;Minimum 3-5 years of experience in automation, scripting, and platform management.
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  &bull;Microsoft Certified: Azure Developer Associate
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  &bull;Microsoft Certified: Azure DevOps Engineer Expert
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  &bull;Certifications in relevant automation tools or DevOps methodologies.
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Developer Automation & Azure Platform

Barclays

<div><p>Join us as a Platform Engineer - Cloud at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.</p><p></p><p>
To be successful as a Platform Engineer - Cloud you should have experience with:
</p><ul><li><p>Expert understanding of data lake and warehouse</p></li><li><p>
Broad knowledge of public cloud services</p></li><li><p>
Good understanding of data governance methodologies</p></li><li><p>
Strong written and verbal communication skills demonstrating a collaborative approach across a range of stakeholders, including senior colleagues.</p></li><li><p>
Proven team player, supporting colleagues to achieve team objectives.</p></li><li><p>
Critical thinking.</p></li></ul><p></p><p>
Some other highly valued skills may include:</p><ul><li><p>
AWS public cloud platform</p></li><li><p>
Latest data management tools like Alation, Databricks, DBT, Snowflake.</p></li></ul><p></p><p>
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.</p><p></p><p>
This role is for Pune location.</p>
<p><b>
Purpose of the role</b></p><p>
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.</p><p></p><p><b>
Accountabilities</b></p><ul><li>
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li><li>
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li><li>
Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li><li>
Collaboration with data scientist to build and deploy machine learning models.</li></ul><p></p><p><b>
Analyst Expectations</b></p><ul><li>
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.</li><li>
Requires in-depth technical knowledge and experience in their assigned area of expertise</li><li>
Thorough understanding of the underlying principles and concepts within the area of expertise</li><li>
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.</li><li>
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</li><li>
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.</li><li>
Will have an impact on the work of related teams within the area.</li><li>
Partner with other functions and business areas.</li><li>
Takes responsibility for end results of a team&rsquo;s operational processing and activities.</li><li>
Escalate breaches of policies / procedure appropriately.</li><li>
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.</li><li>
Advise and influence decision making within own area of expertise.</li><li>
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.</li><li>
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.</li><li>
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Make evaluative judgements based on the analysis of factual information, paying attention to detail.</li><li>
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.</li><li>
Guide and persuade team members and communicate complex / sensitive information.</li><li>
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.</li></ul><p></p><p>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</p></div>

Platform Engineer - Cloud

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring for GCP Data Engineer/Architect at Hyderabad, Delhi, Mumbai, Pune, Bangalore, Chennai locations!!</p>
<p>
Exp Range- 8 to 12 Years</p>
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Key Technical Skills:</p>
<p>
</p><ul><li>Google Certified Professional Cloud Architect</li>
<li>Five or more years of hands-on experience designing available, cost efficient, fault tolerant, and scalable distributed systems on Google Cloud Platform</li>
<li>In-depth knowledge of at least one high-level programming language, python preferred</li>
<li>Ability to identify and define requirements for a Google Cloud Platform based application</li>
<li>Experience with deploying Hybrid Systems with On-Premises and Google Cloud Platform components</li>
<li>Capability to provide best practices for building secure and reliable applications on the Google Cloud Platform</li>
<li>Demonstrated skills in leadership, communication, coaching, analysis, problem solving and short term and long-term planning</li>
</ul></div></div></div><p></p><div><div><div><b>Location</b></div>
<div>Delhi</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>387100</div>
</div><div><div><b>Desired Skills</b></div>
<div>GCP - IT Service Management Consulting | Google API</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

GCP Data Engineer/Architect

Ryan, LLC

<div><div>Why Ryan?</div><ul><li><div>
Global Award-Winning Culture</div></li><li><div>
Flexible Work Environment</div></li><li><div>
Generous Paid Time Off</div></li><li><div>
World-Class Benefits and Compensation</div></li><li><div>
Rapid Growth Opportunities</div></li><li><div>
Company Sponsored Two-Way Transportation</div></li><li><div>
Exponential Career Growth</div></li></ul><div></div>
We&rsquo;re looking for an Engineer II &ndash; DevOps &amp; Platform Engineering to support our cloud infrastructure, CI/CD automation, and system reliability initiatives. This role is an excellent opportunity for an engineer with foundational DevOps experience to grow into a well-rounded platform engineer.<br>
As an Engineer II, you'll work alongside experienced engineers and contribute to building secure, scalable, and automated environments across both Azure and AWS platforms. You&rsquo;ll participate in day-to-day delivery of infrastructure and deployments, while continuing to grow your skills in cloud, automation, and platform operations.<div>
Key Responsibilities</div><div>
Platform &amp; Cloud Engineering</div><ul><li>
Support provisioning and maintenance of infrastructure on Azure and AWS, including compute, networking, storage, and IAM.</li><li>
Work with Infrastructure as Code (IaC) tools like Terraform, or CloudFormation.</li><li>
Assist with container-based infrastructure using Kubernetes (AKS/EKS) and Helm.</li></ul><div>
CI/CD &amp; Automation</div><ul><li>
Contribute to the creation and management of CI/CD pipelines using Azure DevOps, GitHub Actions, or AWS CodePipeline.</li><li>
Automate repeatable tasks and basic operations using scripting languages such as Bash, PowerShell, or Python.</li><li>
Integrate deployment and testing steps with code repositories and pipeline workflows.</li></ul><div>
Monitoring &amp; Operations</div><ul><li>
Set up and monitor logs, metrics, and alerts using tools like Azure Monitor, CloudWatch, Prometheus, or Grafana.</li><li>
Support troubleshooting efforts and participate in incident response under senior guidance.</li><li>
Maintain documentation for systems and processes to support operational excellence.</li></ul><div>
Collaboration &amp; Learning</div><ul><li>
Work closely with senior platform engineers to understand infrastructure design patterns and platform automation.</li><li>
Participate in agile ceremonies, sprint planning, and retrospectives.</li><li>
Exhibit a strong growth mindset and contribute to team knowledge-sharing practices.</li></ul><div></div><div>
Required Competencies</div><div>
Technology Stack Expertise</div><ul><li>
Azure: Azure DevOps, AKS, Storage, Monitor, Key Vault</li><li>
AWS: EC2, S3, EKS, IAM, CloudWatch</li><li>
CI/CD Tools: Azure DevOps Pipelines, GitHub Actions, CodePipeline</li><li>
IaC: Terraform, CloudFormation</li><li>
Containers: Docker, Kubernetes (EKS/AKS)</li></ul><div>
Technical Execution</div><ul><li>
Experience writing scripts in Bash, PowerShell, or Python</li><li>
Understanding of secure deployments and cloud best practices</li><li>
Familiarity with logging, monitoring, and alerting tools</li></ul><div>
Collaboration &amp; Communication</div><ul><li>
Demonstrated ability to work with cross-functional teams</li><li>
Good communication and documentation practices</li><li>
Willingness to receive feedback and contribute proactively</li></ul><div></div><div>
What You Bring</div><ul><li>
3&ndash;5 years of hands-on experience in DevOps, SRE, or platform engineering roles</li><li>
Cloud experience with at least one major provider (Azure or AWS)</li><li>
Strong interest in automation, cloud-native technologies, and improving engineering processes</li><li>
Ability to work independently on defined tasks and eagerness to learn and grow</li></ul><div></div><div>
Why Join Us?</div><div>
You&rsquo;ll be part of a fast-moving, technically strong team focused on enabling scalable, secure, and reliable engineering practices. This role will allow you to develop expertise across cloud platforms and automation while contributing to impactful infrastructure and delivery improvements.</div></div><div></div>

Engineer II-DevOps

Amgen

<div><p>We are seeking a highly motivated and skilled <b>Associate Software Engineer</b> to join our <b>AI Platform team</b>. This role is ideal for someone passionate about building scalable, reliable, and high-performance AI infrastructure and services. You will work closely with machine learning engineers, data scientists, and platform architects to design and implement core components of our AI/ML platform, enabling seamless development, deployment, and monitoring of AI models across the enterprise.</p><p>
You will contribute to the development of reusable platform components, automation of ML workflows, and integration of AI capabilities into production systems. This is a hands-on engineering role requiring strong software development skills, cloud-native architecture experience,</p><p><b>
Roles &amp; Responsibilities:</b></p><ul><li><p>
Design, develop, and maintain core components of the AI/ML platform including model training pipelines, deployment services, and monitoring tools.</p></li><li><p>
Collaborate with ML engineers and data scientists to understand requirements and translate them into scalable platform features.</p></li><li><p>
Implement automation for model lifecycle management including versioning, testing, deployment, and rollback.</p></li><li><p>
Develop reusable libraries and APIs to support AI/ML workflows and integrations.</p></li><li><p>
Ensure platform reliability, scalability, and performance through rigorous testing and monitoring.</p></li><li><p>
Support integration of security, compliance, and governance features into the AI platform.</p></li><li><p>
Participate in sprint planning, provide technical estimates, and contribute to architectural decisions.</p></li><li><p>
Continuously improve platform capabilities by evaluating and integrating emerging technologies.</p></li></ul><p><b>
Must-Have Skills:</b></p><ul><li><p>
Strong programming skills in Python, or Java.</p></li><li><p>
Experience building distributed systems and microservices.</p></li><li><p>
Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, Airflow).</p></li><li><p>
Experience with containerization and orchestration (Docker, Kubernetes).</p></li><li><p>
Solid understanding of CI/CD pipelines and DevOps practices.</p></li><li><p>
Experience with cloud platforms (AWS, GCP, Azure) and cloud-native services.</p></li><li><p>
Understanding AI/ML lifecycle and model deployment best practices.</p></li><li><p>
Ability to learn quickly, be organized and detail oriented.</p></li></ul><p></p><p><b>
Good-to-Have Skills:</b></p><ul><li><p>
Experience with big data tools (Spark, Hadoop) and data pipeline development.</p></li><li><p>
Familiarity with model monitoring and observability tools.</p></li><li><p>
Knowledge of security principles and compliance in AI systems.</p></li><li><p>
Experience with infrastructure-as-code tools (Terraform, CloudFormation).</p></li><li><p>
Exposure to GenAI technologies and frameworks (e.g., LangChain, Vector DBs).</p></li></ul><p></p><p><b>
Education and Professional Certifications:</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</p></li><li><p>
2&ndash;5 years of experience in software engineering, preferably in AI/ML platform development.</p></li><li><p>
Certifications in cloud platforms or AI/ML technologies are a plus (e.g., AWS AI, Azure AI Engineer, Google Cloud ML).</p></li></ul><p></p><p><b>
Soft Skills:</b></p><ul><li><p>
Excellent analytical and troubleshooting skills.</p></li><li><p>
Strong verbal and written communication skills.</p></li><li><p>
Ability to work effectively with global, virtual teams.</p></li><li><p>
High degree of initiative and self-motivation.</p></li><li><p>
Ability to manage multiple priorities successfully.</p></li><li><p>
Team-oriented, with a focus on achieving team goals.</p></li><li><p>
Strong presentation and public speaking skills.</p></li></ul></div>

Associate Software Engineer

Accenture

<p><b>Project Role : </b>Technology Platform Engineer<br>
<b>Project Role Description : </b>Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
<br>
<b>Must have skills : </b>Data Engineering<br>
<b>Good to have skills : </b>Google Cloud DevOps Services<br>
Minimum <b>7.5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Technology Platform Engineer, you will create production and non-production cloud environments using appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the creation and configuration of environments, ensuring that all processes are efficient and effective while collaborating with various teams to meet project goals. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor and evaluate team performance to ensure alignment with project objectives. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Data Engineering. - Good To Have Skills: Experience with Google Cloud DevOps Services. - Strong understanding of cloud infrastructure and services. - Experience with automation tools and scripting languages. - Proficient in data pipeline development and management. - Familiarity with database technologies and data warehousing solutions. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.</p>
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15 years full time education

Technology Platform Engineer

<p><b>Project Role : </b>Technology Platform Engineer<br>
<b>Project Role Description : </b>Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
<br>
<b>Must have skills : </b>Oracle Financials<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
&quot;Summary:Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Technology Platform Engineer, you will be responsible for creating both production and non-production cloud environments utilizing appropriate software tools tailored for specific projects or products. Your typical day will involve deploying automation pipelines and automating the processes of environment creation and configuration, ensuring efficiency and reliability in the cloud infrastructure. Roles &amp; Responsibilities:Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to ensure seamless integration of cloud environments. - Monitor and optimize cloud infrastructure performance to enhance operational efficiency. Professional &amp; Technical Skills:Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. - Must To Have Skills: Proficiency in Oracle Financials. - Strong understanding of cloud computing principles and practices. - Experience with automation tools and scripting languages. - Familiarity with infrastructure as code methodologies. - Knowledge of security best practices in cloud environments. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Financials. - A 15 years full time education is required.&quot;</p>
<br>
15 years full time education

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