Cloud Computing Specialist Roles

Explore top LinkedIn content from expert professionals.

Summary

Cloud computing specialist roles refer to different job positions focused on designing, maintaining, and supporting cloud-based systems and infrastructure. These roles each have unique responsibilities, ranging from building scalable environments and automating operations to ensuring reliability and supporting applications in the cloud.

  • Understand job distinctions: Take time to learn the differences between cloud engineer, DevOps engineer, platform engineer, and site reliability engineer to find the right career path for your skills and interests.
  • Focus on skill growth: Build expertise in key cloud platforms and tools, such as AWS, Azure, Kubernetes, and Terraform, to stay competitive in this rapidly evolving field.
  • Explore team collaboration: Embrace teamwork by working closely with developers, operations, and security specialists, as many cloud roles require cross-functional interaction.
Summarized by AI based on LinkedIn member posts
  • View profile for Vishakha Sadhwani

    Sr. Solutions Architect at Nvidia | Ex-Google, AWS | 100k+ Linkedin | EB1-A Recipient | Follow to explore your career path in Cloud | DevOps | *Opinions.. my own*

    150,781 followers

    Platform Engineer != Cloud Engineer != DevOps Engineer Time to clear this up — once and for all. Job posts might blur them together, but if you want clarity, here it is. Cloud Engineers: → Build, manage, and optimize cloud infrastructure → Handle networking, security, resource provisioning within a cloud/multi-cloud/hybrid setup → Focus on platform scalability and cost-efficiency DevOps Engineers: → Streamline development pipelines via CI/CD → Automate deployments and manage IaC → Own monitoring, logging, and feedback loops → Bridge the dev–ops collaboration gap Platform Engineers: This is where things get interesting. Platform Engineers build Internal Developer Platforms (IDPs) — custom-built platforms (or you can call it internal tools) designed to abstract infrastructure and streamline developer workflows. Their role? → Provide golden paths for developers (secure, standardized workflows) → Build self-service capabilities (deployments, environments, observability) → Standardize tools and workflows across teams → Improve developer experience (DX) and velocity Platform Engineering sits on top of Cloud and DevOps practices — but it’s not just an intersection. It’s an enablement layer. The key distinction: Cloud = Infrastructure layer DevOps = Process layer Platform Engineering = Enablement layer for developers As companies scale, platform engineering becomes critical for reducing cognitive load on dev teams and ensuring consistency across the SDLC. What’s your take? • • • I regularly share bite-sized insights on Cloud & DevOps (through my newsletter as well) — if you're finding them helpful, hit follow (Vishakha) and feel free to share it so others can learn too! Image Source: Tech World with Nana

  • View profile for Benedict S.

    IT Global Service Desk Team Lead | Lead Technical Recruiter | Talent Acquisition Specialist | IT Hiring Expert | Motivational Content Creator | Delivery Excellence |

    15,717 followers

    Cloud Infrastructure Engineers, System Administrators, and Site Reliability Engineers (SREs) all deal with IT systems and infrastructure, they focus on different aspects of operations, scalability, and reliability. 🔧 1. System Administrator (SysAdmin) Focus: Maintaining and managing on-premise or cloud-based servers, systems, and networks. Key Responsibilities: Install, configure, and maintain servers and OS. Monitor system performance and troubleshoot issues. Manage backups, patches, and user permissions. Usually reactive and operational (responding to issues as they arise). Tools: Linux/Windows servers, Active Directory, Bash/Powershell, Nagios, Puppet/Chef (sometimes). ☁️ 2. Cloud Infrastructure Engineer Focus: Building and maintaining scalable cloud environments (AWS, Azure, GCP). Key Responsibilities: Design and deploy cloud-based architectures. Manage cloud services like EC2, VPCs, Load Balancers, Kubernetes. Handle networking, security, storage, and compute resources in the cloud. Often involved in DevOps automation and IaC (Infrastructure as Code). Tools: Terraform, CloudFormation, Kubernetes, Docker, AWS CLI, Azure DevOps, GCP Console. ⚙️ 3. Site Reliability Engineer (SRE) Focus: Ensuring systems are reliable, scalable, and automated—bridging software development and operations. Key Responsibilities: Write code to automate infrastructure and operations. Define SLAs, SLOs, and SLIs for system reliability. Monitor availability and performance proactively. Perform incident response and root cause analysis. Strong DevOps mindset: reliability as a software engineering problem. Tools: Prometheus, Grafana, PagerDuty, Ansible, Go/Python, Kubernetes, CI/CD pipelines.

  • View profile for Anjani Keshri

    Technical Lead - Devops

    4,034 followers

    TLDR; No, Devops engineer is not same as SRE or Cloud engineer. No, you can not use them interchangeably. I am fortunate enough to have worked as Devops engineer as well as SRE and well, there are striking differences in both of them. I am glad one of my colleagues asked this and that reminded me how tech recruiters out there mix these terminologies and candidates end up with the job they are not really ready for. Roles of DevOps Engineer, Site Reliability Engineer (SRE), Cloud Engineer, Build Engineer, and Platform Engineer, while overlapping in some areas, have distinct focuses and responsibilities. Let's list out some of them: DevOps Engineer : Bridging the gap between development and operations. 1. Automating and streamlining the software development and deployment processes. 2. Managing CI/CD pipelines. 3. Ensuring reliable and frequent code releases. 4. Collaborating with development, QA, and operations teams to improve system reliability and performance. 5. Monitoring and logging systems to identify and resolve issues. SRE :Ensuring the reliability and performance of production systems. 1. Implementing and maintaining service level objectives (SLOs) and service level agreements (SLAs). 2. Monitoring and alerting for system reliability and performance. 3. Incident response and post-mortem analysis. 4. Automating repetitive tasks and optimizing system operations. 5. Balancing feature development with system reliability. Cloud Engineer : Designing, implementing, and managing cloud infrastructure. 1. Deploying and managing cloud resources (e.g., AWS, Azure, Google Cloud). 2. Ensuring the security and scalability of cloud systems. 3. Implementing cloud services and tools to support applications. 4. Managing cloud-based databases, storage, and networking. 5. Monitoring and optimizing cloud cost and performance. Build Engineer : Managing the build and integration processes for software development. 1. Setting up and maintaining build systems and tools. 2. Automating the build process to ensure efficient and reliable software compilation. 3. Managing dependencies and version control systems. 4. Troubleshooting build issues and ensuring build reproducibility. 5. Integrating various components and ensuring consistent builds across environments. Platform Engineer : Building and maintaining the underlying platform and infrastructure that supports application development and deployment. 1. Developing and managing the infrastructure platform (often PaaS or container orchestration platforms like Kubernetes). 2. Ensuring scalability, reliability, and performance of the platform. 3. Creating tools and frameworks to support developer productivity. 4. Implementing security measures and best practices. 5. Collaborating with development and operations teams to ensure platform effectiveness. Hope this helps with the basic :) #Devops #SRE #cloud

  • View profile for Lucy Wang

    Founder @ Zero To Cloud | “Tech With Lucy” 250K+ on YouTube, Follow me & let’s build our skills! 💪☁️

    83,331 followers

    If you're exploring AWS careers, job titles can be confusing. What’s the difference between a Cloud, DevOps, Support, and Platform engineer? 🤔 Here’s a quick breakdown 👇 🔹 Cloud Support Engineer You troubleshoot real AWS issues, EC2, VPC, S3, IAM, Lambda. → Great for learning AWS hands-on, inside out. Often the first cloud role at AWS or partner companies. 🔹 DevOps Engineer You automate deployments, build pipelines, manage infra as code. → You bridge dev and ops - making delivery faster and safer. 🔹 CloudOps Engineer You focus on Day-2 operations: uptime, patching, scaling, monitoring. → You're the person keeping production systems healthy 24/7. 🔹 Solutions Architect You design AWS systems, making them: scalable, secure, cost-effective. → You advise teams, translate requirements, and guide best practices. 🔹 Cloud/Platform Engineer You build internal tooling, secure VPCs, SSO, reusable infra. → You enable other teams to ship apps safely on shared AWS foundations. No role is “better”, they’re just different paths. Pick the one that matches your skillset and interests, and grow from there 🌱 💬 Which one are you aiming for / already working in? Let me know in the comments! ♻️ Found this helpful? Feel free to repost & share with your network. — 📥 For weekly Cloud learning tips, subscribe to my free Cloudbites newsletter: https://www.cloudbites.ai/ 📚 My AWS Learning Courses: https://zerotocloud.co/ 📹 Watch my weekly YouTube videos: https://lnkd.in/gQ8k29DE #aws #cloudcareers #devops #cloud #zerotocloud

  • View profile for Lydia Leong

    Distinguished VP Analyst @ Gartner; cloud computing expert; violinist

    7,323 followers

    I've published a new research note, called "How to Design Cloud Engineering Roles That Fit Your Operating Model" (Gartner for Technical Professionals paywall: https://lnkd.in/e6wFH7td). This document provides answers to common questions around constructing cloud engineering-related roles. It covers cloud architects, cloud engineers, cloud security roles, the ways that platform engineers and SREs intersect cloud roles, and how DBA roles change with the cloud, among other things. The advice is given in a way that's specific to cloud operating models and cloud operations approaches. It provides a six-stage Dreyfus-style competence model, and a core set of recommended enterprise-relevant services to learn for the four major global hyperscalers. I hope you find it useful, and as always, I'm interested in reader feedback. (Image deliberately blurred.) #Gartner #research #cloud #skills #roles

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