platform engineer

Barclays

<div>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.
To be successful as a Platform Engineer - Cloud you should have experience with:
<ul><li>Expert understanding of data lake and warehouse</li><li>
Broad knowledge of public cloud services</li><li>
Good understanding of data governance methodologies</li><li>
Strong written and verbal communication skills demonstrating a collaborative approach across a range of stakeholders, including senior colleagues.</li><li>
Proven team player, supporting colleagues to achieve team objectives.</li><li>
Critical thinking.</li></ul>
Some other highly valued skills may include:<ul><li>
AWS public cloud platform</li><li>
Latest data management tools like Alation, Databricks, DBT, Snowflake.</li></ul>
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.
This role is for Pune location.

Purpose of the role
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.
Accountabilities<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>
Analyst Expectations<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>
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.</div>

Platform Engineer - Cloud

Accenture

Project Role : Technology Platform Engineer 
Project Role Description : 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.
 
Must have skills : Data Engineering 
Good to have skills : Google Cloud DevOps Services 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
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.
 
15 years full time education

Technology Platform Engineer

Project Role : Technology Platform Engineer 
Project Role Description : 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.
 
Must have skills : Oracle Financials 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
&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;
 
15 years full time education

Project Role : Technology Platform Engineer 
Project Role Description : 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.
 
Must have skills : Oracle Financials 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
&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;
 
15 years full time education

Project Role : Data Platform Engineer 
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
 
Must have skills : Microsoft Azure Data Services 
Good to have skills : Microsoft SQL Server, Microsoft Azure Databricks, Microsoft Fabric 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be responsible for analyzing data requirements and implementing solutions that align with the overall data strategy, ensuring that the data platform meets the needs of the organization effectively. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Engage in continuous learning to stay updated with the latest data platform technologies and methodologies. - Assist in the documentation of data architecture and design decisions to facilitate knowledge sharing within the team. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services. - Good To Have Skills: Experience with Microsoft Fabric, Microsoft SQL Server, Microsoft Azure Databricks. - Strong understanding of data integration techniques and best practices. - Experience with data modeling and database design principles. - Familiarity with cloud computing concepts and services. Additional Information: - The candidate should have minimum 3 years of experience in Microsoft Azure Data Services. - This position is based at our Hyderabad office. - A 15 years full time education is required.
 
15 years full time education

Data Platform Engineer

Muller's Solutions

<div>M&uuml;ller's Solutions is looking for a talented Containerization Platform Engineer to join our innovative team. In this role, you will be responsible for supporting containerized applications, implementing security best practices, developing automation, and monitoring performance to ensure smooth, secure, and efficient operation. Operates 24x7x365 to assist in the deployment, configuration, and management of containerization platforms (e.g., Docker, Kubernetes).
Key Responsibilities:<ul>
<li>
Design and implement containerization strategies using technologies such as Docker and Kubernetes.</li>
<li><ul><li>Implement security best practices for containerization environments, including image security, network security, and access control. Conduct security assessments and audits to identify and remediate vulnerabilities.</li></ul></li>
<li> Support the deployment and configuration of containerization platforms, ensuring the correct setup of containerized applications in accordance with best practices for performance and security. Provide technical assistance to users, developers, and operations teams. Address and resolve issues related to containerized applications, networking, storage, and orchestration.</li>
<li>Design and maintain CI/CD pipelines to automate the deployment of containerized applications.</li>
<li>Serve as the primary technical contact for application and DevOps teams utilizing the platform.</li>
<li>Monitor and enhance container performance and resource utilization.</li>
<li>Evaluate the performance of containerized environments to identify performance bottlenecks and improve resource allocation. Implement monitoring tools to track container health, performance metrics, and logs. Create automation scripts and tools for managing environments, deploying applications, and scaling resources. Establish CI/CD pipelines to streamline the build, test, and deployment workflows. Generate and update documentation, guides, and knowledge base articles.</li>
<li>Guarantee the high availability and scalability of containerized applications.</li>
<li>Work closely with development teams to create optimized container images and enhance application deployment.</li>
<li>Diagnose and resolve issues related to containerized environments.</li>
<li>Collaborate with Level 2 support teams (Operating Systems, Network, Storage) to tackle underlying infrastructure challenges.</li>
<li>Document processes and architecture thoroughly.st practices for container management.</li>
<li>Stay current with the latest trends and technologies in containerization and cloud services.</li>
</ul>
Requirements
Requirements:<ul>
<li>
Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Hands-on experience with containerization technologies, preferably Docker and Kubernetes.</li>
<li>A minimum of 1-2 years of direct, hands-on experience with Kubernetes or OpenShift is essential.</li>
<li>3-5 years of experience in a relevant role within DevOps, Cloud, or Systems Engineering is preferred.</li>
<li>A solid grasp of microservices architecture and deployment methodologies is required.</li>
<li>Experience with cloud platforms, including AWS, Azure, or Google Cloud, is necessary.</li>
<li>Proficiency in scripting languages such as Python or Bash for automation purposes is required.</li>
<li>Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible is an advantage.</li>
<li>Exceptional troubleshooting skills and the ability to thrive in a fast-paced environment are critical.</li>
<li>Strong communication abilities and experience in collaborative work across teams are essential.</li>
<li>Work together with L2 teams (Operating System, Network, Storage) to address fundamental infrastructure challenges.</li>
<li>Monitor the performance of containerized environments to detect bottlenecks and optimize resources. Implement monitoring tools for container health, performance metrics, and logging. Create automation scripts and tools for managing environments, deploying applications, and scaling resources. Establish CI/CD pipelines to automate build, testing, and deployment processes. Develop and maintain documentation, user guides, and knowledge base articles.</li>
</ul>
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Containerization Platform Engineer

Cequens

<div>CEQUENS is a leading global communications platform as a service (CPaaS) provider that simplifies customer engagement for businesses through its innovative, reliable, and secure communication solutions. Established in 2011, CEQUENS offers a comprehensive suite of APIs, including SMS, WhatsApp for Business, Voice, Push Notifications, and more, enabling seamless and personalized interactions across multiple channels. Our partner network covers MEA region with international access to messaging hubs worldwide and our clients include major banks, credit cards, digital payments, OTT applications, government authorities, health and education, and other industry verticals.
We are seeking a Senior Platform Engineer with the following requirements: 
 
Key Responsibilities<ul>
<li>
Manage and operate on-premises Kubernetes clusters, ensuring reliability, performance, and security.</li>
<li>Design and implement Infrastructure as Code (IaC) using Terraform, Ansible, Helm, and Kustomize.</li>
<li>Automate CI/CD pipelines using AWS CodePipeline and ArgoCD for consistent deployment practices.</li>
<li>Implement and maintain observability stack using Grafana, Prometheus, Loki, and Thanos.</li>
<li>Administer and optimize Ceph, EFS, and persistent storage configurations (PV/PVC).</li>
<li>Manage networking and ingress with service mesh integrations for multi-service environments.</li>
<li>Implement RBAC, namespace management, and cost optimization strategies.</li>
<li>Troubleshoot system issues, perform root cause analysis, and enhance system resilience.</li>
<li>Collaborate with developers and DevOps peers to improve infrastructure reliability and developer experience.</li>
<li>Maintain detailed documentation for infrastructure, automation, and operational procedures.</li></ul> 
Required Skills &amp; Experience<ul>
<li>
Strong experience with Kubernetes in on-premises environments (cluster lifecycle, scaling, upgrades, troubleshooting).</li>
<li>Proficiency in Terraform, Ansible, Helm, and Kustomize for infrastructure automation.</li>
<li>Experience building and managing CI/CD pipelines using AWS CodePipeline and ArgoCD.</li>
<li>Solid knowledge of monitoring and logging stacks (Prometheus, Grafana, Loki, ELK, Thanos).</li>
<li>Strong background in Linux administration, networking, and containerization (Docker).</li>
<li>Experience with Ceph, EFS, and Kubernetes storage provisioning.</li>
<li>Deep understanding of networking and security, including:
</li><li><ul><li>Ingress controllers, service mesh, and network policies.</li>
<li>IPsec VPN tunnels setup, troubleshooting, and integration between hybrid environments.</li>
<li>Web Application Firewall (WAF) configuration and rule optimization to protect workloads.</li>
</ul></li><li>Proficiency in Bash and Python scripting for automation and system maintenance.</li>
<li>Working knowledge of AWS Cloud services integrated with hybrid infrastructure setups.</li></ul></div>

Senior Platform Engineer

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