Qureos Mentor

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers. 
Key Responsibilities:<ul><li>
Evaluate existing application architectures and identify opportunities for modernization using GCP services.</li><li>
Design and implement cloud-native architectures that enhance application performance and scalability.</li><li>
Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions.</li><li>
Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine.</li><li>
Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies.</li><li>
Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations.</li><li>
Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards.</li><li>
Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization.</li><li>
Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform.</li>
<li>Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes.</li>
<li>Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery.</li>
<li>Experience with programming languages such as Java, Python, or Go in developing cloud-native applications.</li>
<li>Solid knowledge of DevOps practices and tools for continuous integration and delivery.</li>
<li>Excellent communication skills, with the ability to guide and influence clients and technical teams.</li>
<li>Strong problem-solving abilities and a passion for technology and innovation.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus.</li>
<li>Experience with legacy application modernization and migration strategies.</li>
<li>Familiarity with Agile methodologies and practices.</li>
<li>Previous experience working directly with clients in consulting or customer-facing roles.</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>

Google Cloud Application Modernization Specialist

<div>M&uuml;ller&rsquo;s Solutions is on the hunt for a skilled Google Cloud Architect to lead our cloud strategy initiatives and design innovative solutions using Google Cloud Platform (GCP). In this crucial role, you will be responsible for developing scalable, secure, and efficient cloud architectures that meet business requirements while guiding teams on best practices in cloud implementation and governance. 
Key Responsibilities:<ul><li>
Design and architect scalable, reliable, and cost-effective GCP solutions aligned with business objectives.</li><li>
Collaborate with stakeholders to gather requirements and translate them into technical solutions leveraging GCP services.</li><li>
Develop and implement standards, guidelines, and best practices for GCP architectures across the organization.</li><li>
Lead migration efforts of existing applications and systems to GCP, ensuring best practices around security and compliance are followed.</li><li>
Conduct cloud readiness assessments and application architecture evaluations to identify needed improvements.</li><li>
Oversee the integration of cloud services with on-premises components or external platforms as necessary.</li><li>
Advise on cloud strategies, best practices, and industry trends to senior management and technical teams.</li><li>
Provide technical leadership and mentorship to engineering teams, promoting cloud-native development methodologies.</li><li>
Build and maintain documentation for cloud solutions, architectures, and processes.</li><li>
Engage with vendor management to evaluate and select relevant cloud services and tools.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>5+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform.</li>
<li>Proven experience in designing and implementing complex architectures on GCP, including compute, storage, and networking.</li>
<li>Deep understanding of GCP services and capabilities, including BigQuery, Cloud Functions, and Kubernetes Engine.</li>
<li>Expertise in Infrastructure as Code (IaC) practices using tools like Terraform or Cloud Deployment Manager.</li>
<li>Strong knowledge of cloud security principles and best practices for governance and compliance.</li>
<li>Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders.</li>
<li>Strong problem-solving skills and the ability to think critically in fast-paced environments.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are highly desirable.</li>
<li>Experience with DevOps practices, CI/CD pipelines, and automation tools.</li>
<li>Familiarity with open-source technologies and frameworks relevant to GCP architecture.</li>
<li>Experience in cloud cost management and optimization techniques.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Architect

<div>M&uuml;ller&rsquo;s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities. 
Key Responsibilities:<ul><li>
Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services.</li><li>
Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager.</li><li>
Oversee the configuration and management of virtual private cloud (VPC) networking and shared services.</li><li>
Build and maintain CI/CD pipelines to automate deployment and operational processes.</li><li>
Monitor and optimize GCP performance, including resource utilization and cost management.</li><li>
Implement robust security practices across GCP resources, ensuring compliance with industry standards.</li><li>
Integrate GCP services with existing systems and applications through APIs and cloud functions.</li><li>
Collaborate with DevOps teams to streamline workflows and support development processes.</li><li>
Prepare and maintain architecture documentation, operational procedures, and best practices guidelines.</li><li>
Provide technical support to resolve issues and enhance system performance in the GCP environment.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform.</li>
<li>Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine.</li>
<li>Proficiency in scripting and programming languages such as Python, Golang, or Java.</li>
<li>Experience with containerization and orchestration technologies such as Docker and Kubernetes.</li>
<li>Familiarity with networking concepts and security practices in cloud environments.</li>
<li>Strong analytical and troubleshooting skills with attention to detail.</li>
<li>Effective communication skills for collaboration and presenting technical information clearly.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred.</li>
<li>Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services.</li>
<li>Knowledge of monitoring and logging tools such as Stackdriver or Prometheus.</li>
<li>Understanding of DevOps methodologies and practices.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Engineer

<div>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. 
Key Responsibilities:<ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Data Engineer

<div>M&uuml;ller's Solutions is seeking a GCP DevOps Specialist to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining our Google Cloud Platform (GCP) infrastructure and DevOps practices. Your expertise will drive the continuous improvement of our development and deployment processes, ensuring high availability and scalability of applications hosted on GCP. You will work closely with development, operational, and security teams to implement CI/CD pipelines, manage cloud resources, and enhance application performance. 
Key Responsibilities:<ul><li>
Design, deploy, and manage GCP infrastructure components, including virtual machines, storage solutions, Kubernetes, and serverless functions.</li><li>
Develop and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build.</li><li>
Implement monitoring and logging solutions to ensure reliability and security of cloud-based applications.</li><li>
Collaborate with cross-functional teams to streamline development workflows and enhance operational efficiencies.</li><li>
Automate infrastructure provisioning and management through Infrastructure as Code (IaC) using tools like Terraform or Google Deployment Manager.</li><li>
Perform cost optimization analyses and resource allocation planning for GCP services.</li><li>
Support incident management processes and provide technical guidance to resolve deployment and operational issues.</li><li>
Continuously evaluate new cloud technologies and services to enhance our GCP environment.</li></ul> 

Requirements 
Requirements:<ul><li>
Degree: Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>
Experience: 3+ years of experience in cloud infrastructure management and DevOps practices, with a strong focus on Google Cloud Platform.</li><li>
Technical Skills: Proficient in Google Cloud services (e.g., GCE, GKE, BigQuery, Cloud Functions), CI/CD tools, and container orchestration (Kubernetes). Experience with Infrastructure as Code (IaC) using Terraform or similar tools is highly desirable.</li><li>
Additional Skills: Strong experience with scripting languages (Python, Bash) for automation tasks. Familiarity with monitoring tools (e.g., Stackdriver, Prometheus) and security best practices in cloud environments. Understanding of Agile methodologies and DevOps culture.</li><li>
Communication Skills: Excellent communication skills with the ability to work effectively in a collaborative environment.</li></ul>
Preferred Qualifications:<ul><li>
Certifications such as Google Cloud Professional DevOps Engineer or Google Cloud Architect are a plus.</li><li>
Experience with multi-cloud or hybrid cloud environments.</li><li>
Ability to troubleshoot complex systems and provide solutions quickly.</li><li>
Strong analytical and problem-solving skills, with a focus on continuous improvement.</li><li>
A passion for cloud technologies and keeping up-to-date with industry trends.</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>

GCP DevOps Specialist

<div>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li> 
</ul> 
 
Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul>Preferred Qualifications:<ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Big Data Engineer

<div>M&uuml;ller's Solutions is actively searching for a knowledgeable Software Testing Trainer to join our team. In this role, you will be responsible for
1. Adapt training methods to different learner needs and skill level
 
2. Design and deliver training programs aligned with learning objectives 
3. Facilitate learner engagement and interactive training sessions 
4. Assess learning outcomes and provide constructive feedback 
5. Evaluate training effectiveness and continuously improve content 
6. Deliver testing training for neuro-diverse candidates<div>
Technical Skills &amp; Areas of Expertise: 
<ul><li>The instructor must be able to deliver high-quality instruction in the following areas:</li><li>Testing Types: Functional vs. Non-functional, Regression, Smoke, Sanity, and UAT.</li><li>Methodologies: Waterfall, V-Model, Agile/Scrum</li><li>Test and Design Black-box (Equivalence Partitioning, Boundary Value Analysis), White-box, and Experience-based testing.</li></ul></div> 
Requirements 
Requirements:<div>
. A Bachelor in Computer Science or Software Engineering 
<ul><li>ISTQB certified</li><li>A minimum of 5 years of experience in Software Testing</li><li>A minimum of 5 years of experience in professional training</li><li>Knowledge of inclusive employment practices and workplace accommodations.</li><li>Prior experience as an instructor, trainer, mentor, or teaching assistant</li><li>Ability to explain technical concepts clearly and patiently</li><li>Comfortable teaching beginners with little or no data background</li><li>Strong written and verbal communication skills</li><li>Experience delivering long-running or cohort-based programs</li><li>Industry experience translating theory into practice</li></ul></div> 
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>

Software Testing Trainer

Join Muller's Solutions and explore 58   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.