cloud infrastructure engineer

SHAH QALIFIED LTD

Backend &amp; Cloud Infrastructure Engineer Location: No location restriction (onsite/Remote/Global) open to candidates from Asia, Europe, and the USA who can work aligned to China Standard Time (CST) hours Type: Full-TimeAbout LIMI AI LIMI AI is building cutting-edge modular AI infrastructure that powers next-generation devices and applications. We&rsquo;re looking for a talented Backend &amp; Cloud Infrastructure Engineer to architect the backbone of our platform the APIs, orchestration logic, and cloud systems that seamlessly tie hardware, AI, and user experience together.Key Responsibilities<ul><li>Build and scale backend services (FastAPI/Node) to connect devices, apps, and AI.</li><li>Deploy and manage global infrastructure (Vercel, Alibaba Cloud, AWS).</li><li>Design containerized modular services (MCP tools, AI endpoints).</li><li>Ensure reliability, observability, and secure data flows across the platform.</li><li>Collaborate closely with IoT and frontend teams to deliver real-time performance.</li></ul>What We&rsquo;re Looking For<ul><li>Strong experience in distributed systems, Docker, Kubernetes, and cloud deployments.</li><li>Proven ability to scale backend systems beyond prototypes.</li><li>Security-first mindset (TLS, identity, provisioning).</li><li>Passion for bridging backend, AI, and IoT.</li></ul>How to Apply Submit your CV/resume through Indeed or email us at limilightingg@gmail.com with the subject line &ldquo;Backend &amp; Cloud Infrastructure Engineer &ndash; Application.&rdquo;Job Type: Full-timePay: Rs70,000.00 - Rs250,000.00 per monthWork Location: Remote

Backend & Cloud Infrastructure Engineer

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you&rsquo;ll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div><div>
We are seeking a skilled DevOps and AI Cloud Infrastructure Engineer to provision, deploy, manage, and optimize our GPU-based compute environment, ensuring high availability, performance, and security for compute-intensive workloads. The ideal candidate will have expertise in Linux system administration, cloud platforms, containerization, GPU hardware management, and cluster computing, with a focus on supporting AI/ML and high-performance computing (HPC) workloads. In this role, you will also provide technical support to investigate and resolve customer-reported issues related to the GPU-based compute environment. You will work closely with architects, AI engineers, and software developers to ensure seamless deployment, scalability, and reliability of our cloud-based AI/ML pipelines and GPU-based compute environments.
<h2 class="jobSectionHeader">
What You&rsquo;ll Be Doing:</h2>
<ul><li>Infrastructure Management: Provision, deploy, and maintain scalable, secure, and high-availability cloud infrastructure on platforms such as Digital Ocean Cloud to support AI workloads.</li>
<li>Documentation: Maintain clear documentation for infrastructure setups, and processes.</li>
<li>System Management: Administer and maintain Linux-based servers and clusters optimized for GPU compute workloads, ensuring high availability and performance.</li>
<li>GPU Infrastructure: Configure, monitor, and troubleshoot GPU hardware (e.g., NVIDIA GPUs) and related software stacks (e.g., CUDA, cuDNN) for optimal performance in AI/ML and HPC applications.</li>
<li>Troubleshooting: Diagnose and resolve hardware and software issues related to GPU compute nodes and performance issues in GPU clusters.</li>
<li>High-Speed Interconnects: Implement and manage high-speed networking technologies like RDMA over Converged Ethernet (RoCE) to support low-latency, high-bandwidth communication for GPU workloads.</li>
<li>Automation: Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Ansible to automate provisioning and management of resources.</li>
<li>CI/CD Pipelines: Build and optimize continuous integration and deployment (CI/CD) pipelines for testing GPU-based servers and managing deployments using tools like GitHub Actions.</li>
<li>Containerization &amp; Orchestration: Build and manage LXC-based containerized environments to support cloud infrastructure and provisioning toolchains</li>
<li>Monitoring &amp; Performance: Set up and maintain monitoring, logging, and alerting systems (e.g., Prometheus, Victoria Metrics, Grafana) to track system performance, GPU utilization, resource bottlenecks, and uptime of GPU resources.</li>
<li>Security and Compliance: Implement network security measures, including firewalls, VLANs, VPNs, and intrusion detection systems, to protect the GPU compute environment and comply with standards like SOC 2 or ISO 27001.</li>
<li>Cluster Support: Collaborate with other engineers to ensure seamless integration of networking with cluster management tools like Slurm, or PBS Pro.</li>
<li>Scalability: Optimize infrastructure for high-throughput AI workloads, including GPU and auto-scaling configurations.</li>
<li>Collaboration: Work closely with Architects, Software engineers to streamline model deployment, optimize resource utilization, and troubleshoot infrastructure issues.</li>
</ul><h2 class="jobSectionHeader">What We&rsquo;ll Expect From You:</h2>
<ul><li>Experience: 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure management, with at least 1 year working on GPU-based compute environments in the cloud.</li>
<li>Linux Administration: Strong knowledge of Linux system administration for managing network services and tools in a GPU compute environment.</li>
<li>High-Speed Interconnects: Experience with high-performance networking technologies like RoCE, or 100GbE Ethernet in compute-intensive environments.</li>
<li>GPU-Specific Networking: Proficiency with NVIDIA GPU networking technologies, such as Mellanox ConnectX adapters, and configuring Netplan to support their drivers and firmware.</li>
<li>Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, GCP).</li>
<li>Networking &amp; Security: Knowledge of networking concepts (VPC, subnets) and security best practices (IAM, encryption, firewall configurations).</li>
<li>Container Technologies: Proficiency in LXC and Docker for container orchestration and management.</li>
<li>IaC Tools: Expertise in Infrastructure as Code tools such as Terraform, and Ansible.</li>
<li>CI/CD Tools: Experience with CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.</li>
<li>Scripting &amp; Programming: Strong scripting skills in Python, Bash, or similar languages; familiarity with Go or other programming languages is a plus.</li>
<li>Monitoring Tools: Experience with monitoring and logging tools like Prometheus, Victoria metrics, and Grafana.</li>
<li>Problem-Solving: Strong analytical and troubleshooting skills to resolve complex infrastructure and performance issues.</li>
<li>Communication: Excellent collaboration and communication skills to work with cross-functional teams.</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Experience with GPU-based workloads and familiarity with AI/ML frameworks like TensorFlow or PyTorch.</li>
<li>Knowledge of configuring Netplan to work with cloud-specific networking features like VPCs or virtual network interfaces</li>
</ul>
<ul><li>This is role located in Hyderabad, India</li></ul>

#LI-Hybrid</div></div>

Senior Engineer I

Optimum Informatics

Role : Infrastructure Engineer -CloudLocation : NoidaJob Description :Infrastructure EngineerAt Optimum Info, we are continually innovating and developing a range of software solutions empowering the Network Development and Field Operations businesses at Automotive, Power Sports and Equipment industries. Our integrated suite of comprehensive solutions provides a seamless and rich experience to our customers, helping them become more effective at their work and create an impact on the organization.Our sharp cultural focus on outstanding customer service and employee empowerment is core to our growth and success. As a growing company, we offer incredible opportunities for learning and growth with opportunity to manage high-impact business solution.Position OverviewThe Infrastructure Engineer will be responsible for maintaining Optimum&rsquo;s server and end-user infrastructure and work on initiatives to enhance the performance, reliability, and security of assets on the Amazon cloud.The position is based in Noida, India and will collaborate with infrastructure and Infosec team members based out of Optimum&rsquo;s other locations (Ahmedabad, India and Los Angeles, USA).Key Responsibilities&middot; Configuration and support for end-user devices and installed software.&middot; Provisioning, configuring, and monitoring equipment on the Amazon cloud.&middot; Maintaining an inventory of all infrastructure, including (but not limited to) cloud and end-user hardware (laptops etc.), software licenses, certificates etc.&middot; Researching newer techniques and technologies and proposing initiatives for improved performance, reliability, and security of assets on the cloud.&middot; Planning and implementation of approved initiatives in collaboration with application delivery and information security teams.&middot; Administration of O365, Windows and Linux servers.Desired qualifications and experience&middot; Bachelor&rsquo;s degree in engineering with 2 &ndash; 5 years&rsquo; experience working with on-premises and cloud infrastructure; or other qualifications with demonstrable equivalent skills.&middot; Good English language communication skills.&middot; Proficiency in MS Office tools like Word, Excel, and PowerPoint.For the safety of our employees, you must be fully vaccinated with the COVID-19 vaccine by date of hire for any job offer to be confirmed.Job Type: Full-timePay: &#8377;800,000.00 - &#8377;1,200,000.00 per yearWork Location: In person

Engineer Infrastructure -Cloud

Synapse Analytics

<div>As a Senior DevOps Engineer at Synapse Analytics, you'll be an infrastructure leader, driving the development and strategy for our complex and critical hybrid environments. You'll take ownership of major infrastructure initiatives that span both on-premises data centers and public cloud platforms, contributing significantly to the technology strategy and ensuring the high quality, scalability, and security of our applications. You'll also play a crucial role in mentoring and guiding less experienced DevOps engineers, fostering a culture of excellence and continuous improvement across all infrastructure disciplines.
Responsibilities<ul><li>
Lead the discovery, architecture, and delivery of major hybrid infrastructure initiatives and complex systems.</li><li>
Design and advocate for significant architectural and infrastructure decisions impacting both cloud and on-premises environments, ensuring alignment with the overall business strategy and engineering needs.</li><li>
Set and enforce high standards for DevOps practices, best practices, and security principles across the team, leading by example.</li><li>
Mentor and coach DevOps Engineer I and II colleagues, providing deep technical guidance, fostering their growth, and leading strategic discussions on hybrid cloud strategy.</li><li>
Solve highly complex, ambiguous, and strategic infrastructure challenges that have a broad impact on the organization's products and services.</li><li>
Collaborate extensively with senior leadership, engineering, and product teams to define requirements, evaluate feasibility, and deliver robust, integrated solutions.</li><li>
Identify and address critical security threats, performance bottlenecks, and single points of failure across the entire infrastructure stack.</li><li>
Proactively identify, prioritize, and lead efforts to address technical debt and process inefficiencies in the infrastructure and CI/CD pipelines.</li><li>
Research, evaluate, and propose new infrastructure strategies and technologies to improve the product offering and development processes.</li><li>
Act as a primary point of contact for complex, high-severity infrastructure-related incidents, leading diagnosis and resolution.</li><li>
Clearly and regularly communicate complex infrastructure strategies, trade-offs, and cost models to both technical and non-technical stakeholders.</li></ul><ul><li>
BS/BA, MS, or PhD equivalent in Computer Science, Engineering, or a related field.</li><li>
5+ years of experience in DevOps, Site Reliability Engineering, or a senior infrastructure role.</li><li>
Excellent experience in designing, building, and managing large-scale, high-availability infrastructure across both cloud (AWS, GCP, Azure) and on-premises environments, with deep expertise in container orchestration platforms like RKE2 and OpenShift.</li><li>
Strong knowledge of networking fundamentals (IP, TCP, UDP, etc.) and security concepts (Network Security, application security, cryptography).</li><li>
Solid understanding of the technical aspects of software development, system architecture, and how the Linux operating system works.</li><li>
Excellent troubleshooting skills, including solving complex system problems and navigating business ambiguities in hybrid settings.</li><li>
Deep expertise and extensive experience in DevOps methodologies and frameworks (e.g., CI/CD, GitOps, Infrastructure as Code).</li><li>
Expert knowledge and experience in defining infrastructure vision, strategy, and roadmaps for hybrid environments.</li><li>
Expert understanding of the end-to-end product development lifecycle.</li><li>
Strong understanding of business principles, KPIs, and financial modeling related to infrastructure costs (e.g., CapEx vs. OpEx).</li><li>
Deep knowledge of the AI/ML industry and relevant market trends.</li><li>
Extensive experience in leading and facilitating cross-functional teams.</li><li>
Strong experience in mentoring and developing junior team members.</li></ul></div>

Senior DevOps Engineer

Cloudelligent

<div>
 
 
 Position Title:
 
 Sr. AWS DevOps Engineer- Kubernetes Expertise&nbsp;
 
 
 Job Timings:
 
 8am-5pm Central Time (US)&nbsp;
 
 
 Location:
 
 &nbsp;Karachi
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp; &nbsp;
 
 
 
 Job Objective&nbsp;
 
 
 
 As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.&nbsp;
 
 
 
 Responsibilities&nbsp;
 
 
 <ul>
 <li>
 
 Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create and improve current operational practices and procedures.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Responsible for training and mentoring junior DevOps engineers and new team members.&nbsp;
 
 </li>
 </ul>
 
 
 Requirements&nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s in software/computer engineering, computer science or related field.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Effective communication skills (proficiency in English language).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 5+ years of professional experience in DevOps engineering.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Self-driven, ability to work independently or as part of a project team with limited supervision.&nbsp;
 
 </li>
 </ul>
 
 
 Technical Experience/Expertise&nbsp;
 
 
 <ul>
 <li>
 
 Strong hands-on expertise with solution architecting environments in AWS cloud space.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.&nbsp;
 
 </li>
 </ul>
 
 
 Good to have&nbsp;
 
 
 <ul>
 <li>
 
 AWS Certified Solutions Architect Associate/Professional and/or&nbsp;AWS Certified DevOps Professional &nbsp;&nbsp;
 
 </li>
 <li>
 
 Certified Kubernetes Administrator (CKA)&nbsp;
 
 </li>
 </ul>
 
 
</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Karachi
About Cloudelligent
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.
Job Objective
As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.
Responsibilities<ul><li>
Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.</li><li>
Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.</li><li>
Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.</li><li>
Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.</li><li>
Create and improve current operational practices and procedures.</li><li>
Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.</li><li>
Responsible for training and mentoring junior DevOps engineers and new team members.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s in software/computer engineering, computer science or related field.</li><li>
Effective communication skills (proficiency in English language).</li><li>
5+ years of professional experience in DevOps engineering.</li><li>
4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)</li><li>
Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)</li><li>
Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)</li><li>
Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li></ul>
Technical Experience/Expertise<ul><li>
Strong hands-on expertise with solution architecting environments in AWS cloud space.</li><li>
Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.</li><li>
Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).</li><li>
Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.</li><li>
Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.</li><li>
Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).</li><li>
Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.</li><li>
Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.</li></ul>
Good to have<ul><li>
AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional</li><li>
Certified Kubernetes Administrator (CKA)</li></ul>
YeRiGEIl2o</div>

<div>
 
 
 Position Title:
 
 Sr. AWS DevOps Engineer- Kubernetes Expertise&nbsp;
 
 
 Job Timings:
 
 8am-5pm Central Time (US)&nbsp;
 
 
 Location:
 
 &nbsp;Islamabad
 
 
 
 About Cloudelligent&nbsp;
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to the Startups, SMB &amp; enterprise segment. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp; &nbsp;
 
 
 
 Job Objective&nbsp;
 
 
 
 As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.&nbsp;
 
 
 
 Responsibilities&nbsp;
 
 
 <ul>
 <li>
 
 Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create and improve current operational practices and procedures.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Responsible for training and mentoring junior DevOps engineers and new team members.&nbsp;
 
 </li>
 </ul>
 
 
 Requirements&nbsp;
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s in software/computer engineering, computer science or related field.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Effective communication skills (proficiency in English language).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 5+ years of professional experience in DevOps engineering.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Self-driven, ability to work independently or as part of a project team with limited supervision.&nbsp;
 
 </li>
 </ul>
 
 
 Technical Experience/Expertise&nbsp;
 
 
 <ul>
 <li>
 
 Strong hands-on expertise with solution architecting environments in AWS cloud space.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.&nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.&nbsp;
 
 </li>
 </ul>
 
 
 Good to have&nbsp;
 
 
 <ul>
 <li>
 
 AWS Certified Solutions Architect Associate/Professional and/or&nbsp;AWS Certified DevOps Professional &nbsp;&nbsp;
 
 </li>
 <li>
 
 Certified Kubernetes Administrator (CKA)&nbsp;
 
 </li>
 </ul>
 
 
</div>

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10000 cloud infrastructure engineer jobs NEAR_ME

Backend & Cloud Infrastructure Engineer

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Senior DevOps Engineer

Sr. AWS DevOps Engineer- Kubernetes Expertise

Sr. AWS DevOps Engineer- Kubernetes Expertise

Sr. AWS DevOps Engineer- Kubernetes Expertise