build and deployment engineer

Muller's Solutions

<div><p>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).</p><p>
</p><p><b>Key Responsibilities:</b></p><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><p><b>
Requirements</b></p><p><b>
Requirements:</b></p><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><p><b>
Benefits</b></p><p>
Why Join Us:</p><p></p><p>
Opportunity to work with a talented and passionate team.</p><p>
Competitive salary and benefits package.</p><p>
Exciting projects and innovative work environment.</p></div>

Containerization Platform Engineer

VIQU IT Recruitment

<p><strong>Desktop Support/Deployment Engineer - Nottinghamshire</strong></p> <p>VIQU are working with a leading Financial Services organisation embarking on the final phase of a Windows 11 deployment project across several local branches. We're looking for a hands-on Desktop Support / Deployment Engineer to assist with imaging, configuration, and rollout of both desktops and laptops, ensuring a smooth transition for end users.</p> <p>This role involves working onsite five days per week, supporting the deployment of desktops pre-loaded with legacy banking software, as well as assisting with around 200 laptops that require the same configuration.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Deploy and configure Windows 11 desktop PCs and laptops across multiple branch locations</li><li>Support the rollout of legacy banking software using a pre-built deployment image</li><li>Carry out device builds and deployments via Intune and SCCM</li><li>Perform BitLocker configuration, import Edge bookmarks, and support user handovers</li><li>Tag and record all deployed assets accurately</li><li>Provide onsite user support, ensuring smooth adoption of Windows 11</li><li>Troubleshoot issues and escalate where necessary</li></ul> <p><strong>Requirements</strong></p> <ul> <li>Proven experience as a Deployment Engineer or Desktop Support Engineer on large-scale Windows 10/11 rollouts</li><li>Hands-on experience with Intune, SCCM, and imaging/deployment tools</li><li>Strong knowledge of Windows 11 administration and troubleshooting</li><li>Background in End User Compute (EUC) environments</li><li>Excellent communication skills with the ability to engage and support non-technical users</li><li>Strong diagnostic and problem-solving skills</li><li>Full UK driving licence and ability to travel between local sites</li></ul>

Deployment engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div><div><div><p><b>Must-Have</b></p></div><br>
<p></p><div><p>Minimum 5 mandate details are mandate with two or 3 liners</p><br>
<p></p>
<div>
<ul><li>Openshift, Kubernetes hands on experience</li></ul>
<ul><li>Knowledge on Network policies, Routes, Services.</li></ul>
<ul><li>Isitio ServiceMesh</li></ul>
<ul><li>HC Vault</li></ul>
<ul><li>Public Cloud Experience</li></ul>
<ul><li>Container Migration Experience</li></ul>
<ul><li>ELK stack deployment &amp; configuration</li></ul>
<ul><li>Agile methodology / Kanban board</li></ul>
<ul><li>Linux background with bash Shell scripting knowledge</li></ul>
<ul><li>Firewall configuration on REDHAT</li></ul>
<ul><li>Helm configuration or UCD</li></ul>
<ul><li>ELK Stack &amp; Dynatrace, Kibana and Grafana</li></ul>
<ul><li>Kubernetes / Openshift Cluster configuration and Patching.</li></ul></div></div><br>
<p></p>
</div><br>
<div><div><p><b>Good-to-Have</b></p></div><br>
<div><p>Minimum 2 mandate details are mandate with two or 3 liners</p><br>
<p></p>
<div>
<ul><li>Design experience of the Openshift cluster</li></ul>
<ul><li>Redhart openshift certified</li></ul>
<ul><li>ARO or AKS</li></ul></div></div></div></div></div><br>
<p></p>
<p>
</p><p></p><div><div><div><div><p><b>SN</b></p></div><br>
<div><p><b>Role descriptions / Expectations from the Role</b></p></div><br>
</div><br>
<div><div><p><b>1</b></p></div><br>
<div><ul><li>We need someone with experience in OpenShift</li></ul></div><br>
</div><br>
<div><div><p><b>2</b></p></div><br>
<div><ul><li>Should have technical knowledge on ServiceMesh and HC Vault</li></ul></div><br>
</div><br>
<div><div><p><b>3</b></p></div><br>
<div><ul><li>Should have grasp and experience in Kubernetes</li></ul></div><br>
</div><br>
<div><div><p><b>4</b></p></div><br>
<div><ul><li>Should have exposure ELK stack , Dynatrace, OpenShift and HELM charts</li>
</ul></div></div><br>
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>386412</div>
</div><div><div><b>Desired Skills</b></div>
<div>Digital : OpenShift Container Platform</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Openshift Engineer

MLInfra SD Team

<div>
 <p>
  We are looking for a passionate
  <strong>
   MLOps &amp; Infrastructure Engineer
  </strong>
  to take the innovative models developed by our growing data science team and transport them reliably, scalably, and efficiently into live production environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you enjoy automating complex systems, if Kubernetes is your playground, and if solving the operational challenges of the machine learning world excites you, let's meet!
 </p>
 <p>
  <br/>
 </p>
 Position Summary
 <p>
  <br/>
 </p>
 <p>
  In this role, working closely with Data Scientists and Software Engineers, you will design and build the infrastructure that manages the entire lifecycle of ML models from the research environment to production. You will not only deploy models but also act as the architect of systems that monitor their performance, trigger retraining processes, and ensure cost/performance optimization of the underlying infrastructure.
 </p>
 <p>
  <br/>
 </p>
 Responsibilities
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Infrastructure Management:
   </strong>
   Designing, setting up, securing, and maintaining cloud-based (AWS, Azure, or GCP) and/or on-premise infrastructures for machine learning workloads (especially those requiring GPUs).
  </li>
  <li>
   <strong>
    ML Pipeline Automation:
   </strong>
   Building robust end-to-end CI/CD/CT (Continuous Training) pipelines that automate data preparation, model training, testing, and deployment processes.
  </li>
  <li>
   <strong>
    Container Orchestration:
   </strong>
   Creating Docker containers and managing them in Kubernetes (K8s) environments adhering to high availability and scalability principles.
  </li>
  <li>
   <strong>
    Model Serving:
   </strong>
   Optimizing the APIs and service architectures required for serving models in real-time or batch modes (e.g., using TensorFlow Serving, TorchServe, FastAPI).
  </li>
  <li>
   <strong>
    Monitoring &amp; Observability:
   </strong>
   Establishing monitoring and alerting systems that track both system metrics (CPU, RAM, Latency) and ML-specific metrics (Model Drift, Data Drift, Accuracy drops) (using Prometheus, Grafana, ELK Stack, etc.).
  </li>
  <li>
   <strong>
    Infrastructure as Code (IaC):
   </strong>
   Managing all infrastructure processes using tools like Terraform, Ansible, or CloudFormation under the "Infrastructure as Code" principle.
  </li>
  <li>
   <strong>
    Collaboration &amp; Standardization:
   </strong>
   Standardizing development environments for the data science team, defining best MLOps practices, and guiding the team in these areas.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 Qualifications
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Engineering, Software Engineering, or related technical fields.
  </li>
  <li>
   3+ years of experience in DevOps, Systems Engineering, or MLOps.
  </li>
  <li>
   Advanced proficiency in
   <strong>
    Python
   </strong>
   programming (Bash/Shell scripting knowledge is a plus).
  </li>
  <li>
   Deep knowledge and experience in
   <strong>
    Linux/Unix
   </strong>
   system administration.
  </li>
  <li>
   Production environment experience with at least one major cloud provider (
   <strong>
    AWS, GCP, or Azure
   </strong>
   ).
  </li>
  <li>
   Solid practical experience with
   <strong>
    Docker
   </strong>
   and
   <strong>
    Kubernetes
   </strong>
   (ability to write Helm charts, manage K8s objects).
  </li>
  <li>
   Mastery of CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.) and processes.
  </li>
  <li>
   Basic understanding of the machine learning lifecycle (data collection, training, validation, deployment). (You don't need to develop models, but understanding the needs of a data scientist is expected).
  </li>
  <li>
   Analytical thinking, problem-solving abilities, and strong communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 Preferred Qualifications
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with MLOps platforms and tools (e.g., Kubeflow, MLflow, Airflow, Seldon Core).
  </li>
  <li>
   Familiarity with Feature Store concepts (e.g., Feast).
  </li>
  <li>
   Knowledge of big data technologies (Spark, Kafka, etc.).
  </li>
  <li>
   Experience managing GPU-based compute infrastructures (NVIDIA drivers, CUDA, etc.).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 What We Offer
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Competitive salary and benefits package.
  </li>
  <li>
   Flexible working hours and [Remote/Hybrid] working options.
  </li>
  <li>
   Opportunity to work with state-of-the-art tools and large-scale data.
  </li>
  <li>
   Continuous learning and development budget (Training, certifications, conference attendance).
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


MLOps & Infrastructure Engineer

Siemens

<div>
 Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;
 <strong>
  AI Integration &amp; Deployment Engineer
 </strong>
 &rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!
 <br/>
 <br/>
 The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.
 <br/>
 <br/>
 This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.
 <br/>
 <br/>
 Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.
 <br/>
 <br/>
 The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain AI-powered integrations within enterprise digital platforms
  </li>
  <li>
   Develop RESTful APIs and backend microservices for connecting internal systems with AI services
  </li>
  <li>
   Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines
  </li>
  <li>
   Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms
  </li>
  <li>
   Ensure adherence to corporate standards on data privacy, access control, and cybersecurity
  </li>
  <li>
   Conduct functional and performance testing of deployed AI services
  </li>
  <li>
   Monitor and continuously optimize AI workloads in production environments
  </li>
  <li>
   Design data labeling and embedding strategies to make enterprise datasets searchable through AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence
  </li>
  <li>
   (Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact
  </li>
  <li>
   Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)
  </li>
  <li>
   Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs
  </li>
  <li>
   Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)
  </li>
  <li>
   Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles
  </li>
  <li>
   Experience working in secure, large-scale enterprise software environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with prompt engineering and model tuning concepts
  </li>
  <li>
   Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Speaking up Culture
  </li>
  <li>
   Respectful Workplace
  </li>
  <li>
   Being part of a global work environment
  </li>
  <li>
   Attractive remuneration package
  </li>
  <li>
   Excellent recognition tools providing spot awards
  </li>
  <li>
   Learning &amp; Development opportunities for both personal and professional growth
  </li>
  <li>
   Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
  </li>
  <li>
   Creche allowance for mothers
  </li>
  <li>
   Share matching programs to become a shareholder of Siemens AG
  </li>
  <li>
   Remote working and remote living flexibility only for relevant positions
  </li>
  <li>
   Find more benefits here
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.
  <br/>
  <br/>
 </em>
 &ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
 <br/>
 <br/>
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
 <br/>
 <br/>
 Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
 <br/>
 <br/>
 We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
 <br/>
 <br/>
 Please find more information from our web site:
 <br/>
 <br/>
 https://new.siemens.com/tr/tr.html
 <br/>
 <br/>
</div>


AI Integration & Deployment Engineer

Etisalat

<div><div><b>Deployment Senior Engineer.Projects &amp; Infrastructure Development</b> <b>-</b> <b>(</b><b>25000331</b><b>)</b></div><div><b>
Description</b><div></div><p><b><br>
Job Purpose</b></p><p>
Mange and plan the execution plan and Support and implement , testing all telecom( radio &ndash;<br>
transmission ) plans within etisalat network ,</p><p><b>
Report To Position Name</b></p><div><div><div><p>
Deployment Senior Engineer.Projects &amp; Infrastructure Development</p><p>
Description</p><p></p><p><br>
Job Purpose</p><p>
Mange and plan the execution plan and Support and implement , testing all telecom( radio &ndash;<br>
transmission ) plans within etisalat network ,</p><p>
Report To Position Name</p><div><ul><li>implement new sites :</li></ul>
o Coordinates between Project department and others like transmission and radio to prepare all<br>
data needs to start the implementation like LOS and Radio Data after<br>
o Coordinate with the vendor Roll out Team to start Implement new sites in the proper time to get<br>
monthly/yearly<br>
o Follow the teams in the field ,lead them and support them technically to get the new sites with<br>
best quality for RBS and Transmission<br>
o Telecoms RFS visit to insure that the site is implemented according to standards<br>
<ul><li>Integrate new Sites :</li></ul>
o Coordinates with Transmission team to secure the CCR, E1s.<br>
o Coordinates with Radio team to secure Approved CDD, Scripts.<br>
<ul><li>Put Sites ON AIR :</li></ul>
o power up and confirm site functionality<br>
o Coordinates with Radio team to Drive Test the new sites</div><div>
o Coordinates with Vendor Roll out Team to Make the telecoms acceptance in the proper time<br>
Transmission activity:<br>
Coordinates between project department , transmission department and operation in order to build<br>
accurate and optimized sites by doing required :<br>
Upgrades, Downgrades<br>
Offloading<br>
Reroute<br>
IVR<br>
LOS for new sites and Shops<br>
<ul><li>Radio activity :</li><li>Coordinates between project department ,Radio department and operation in order to build</li></ul>
accurate and optimized sites by doing required :<br>
<ul><li>Expansions</li><li>Extensions</li><li>HUSPA</li><li>Multi-band</li><li>Add new Sectors</li><li>Special requirements</li><li>In building activity :</li></ul>
o Coordinates between project department ,In building team in order to implement and integrate<br>
Micros and Macro sites in the proper time<br>
<ul><li>Guide and train the new staff in order to get the best value</li></ul></div></div></div></div><p></p><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
QUALIFICATIONS_ESSENTIAL</b></p><p>
1-2 years of experience</p><p><b>
QUALIFICATIONS_DESIRABLE</b></p><p></p><p><b><br>
EXPERIENCE_ESSENTIAL</b></p><p>
Minimum</p><p><b>
EXPERIENCE_DESIRABLE</b></p><p></p><p><b><br>
CERTIFICATIONS_ESSENTIAL</b></p><p></p><div><br>
</div></div><div><b>
Job</b><b>:</b> Senior Engineer</div><div><b>
Organization</b><b>:</b> Etisalat-Misr</div><div>
 Non-Management</div><div><b>
Job Posting</b><b>:</b> 18/Dec/2025, 3:47:33 AM</div></div>

Deployment Senior Engineer.Projects & Infrastructure Development

RiseIT Solutions

<div><div><b>Title: Build Automation Engineer</b></div>
<div><b>Location: 100% Remote (Eastern Time Zone)</b></div>
<div><b>Type: Contract</b></div>
<div><b>Rate: $60 per hour</b></div>
<div></div><div><b>Education: HS, JC, College Bachelors</b></div>
<div></div><div><b>4-year College Degree</b></div>
<div></div><div><b>This position is 100% remote for great candidates</b></div>
<div></div><div>This is a contract position to assist with the 2012/R2 retirement project. We have over 150 2012/R2 and Linux systems that we need to retire. The role will provide support for the project in the following ways:</div>
<ul><li>Provisioning Windows and Linux operating systems, while adhering to the company standards. This includes working with vSphere, to provision VMs, and decommissioning old 2008 servers that are no longer needed.</li>
</ul><div><b>Automate the entire OS build process, using automation tools such as Terraform with integrations into ServiceNow to make this provisioning process more efficient, working with our security/patching, Cloud Operations, and infrastructure teams to fully understand the process, and where we can optimize. Tooling intended to be used:</b></div>
<ul><li>Config management &ndash; Salt</li>
<li>Terraform</li>
<li>vSphere and AWS</li>
<li>Bash and Powershell</li>
<li>4-year degree, strong scripting and familiarity with CI/DC pipelines and automation tools.</li></ul></div>

Build Automation Engineer

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