0 Negotiable or Not Mentioned
Remote
25 days ago
earlyjobs.ai
2070 Views
EarlyJobs is hiring a Sr AIOps Engineer specializing in AWS to lead our efforts in intelligent cloud operations. The primary focus of this role is to apply machine learning and advanced analytics to IT operations data to automate processes and ensure the highest levels of service availability. You will design and deploy scalable AIOps solutions that integrate seamlessly with our existing AWS infrastructure.
The ideal candidate will possess a strong engineering background and a deep understanding of AWS services. You will be tasked with identifying opportunities for automation and proactive monitoring, helping to transform traditional operations into a data-driven, automated environment. This is an excellent opportunity for a technical leader who wants to work at the intersection of cloud computing and AI.
Key Requirements
Extensive hands-on experience with Amazon Web Services (AWS).
Demonstrated experience in AIOps or advanced automation for IT operations.
High level of proficiency in Python scripting for automation.
Expertise in AWS monitoring and observability tools like CloudWatch.
Experience with containerization technologies such as Docker and Kubernetes.
Familiarity with AWS CloudFormation or Terraform for infrastructure automation.
Strong understanding of distributed systems and cloud architecture.
Ability to analyze large datasets to identify operational trends.
Excellent communication skills and technical leadership ability.
Immediate availability to join the engineering team.
Solid grasp of Linux/Unix system administration.
0 Negotiable or Not Mentioned
Remote
27 days ago
hazercloud.com
1623 Views
HAZERCLOUD® is seeking dedicated AWS professionals to join our forward-thinking team. At HAZERCLOUD®, we are committed to building systems that scale and nurturing teams that lead the industry. We are currently looking for cloud experts who can contribute significantly to the design, implementation, and management of robust cloud infrastructure. This is a unique opportunity to work on meaningful projects that challenge your technical skills and allow you to grow within a dynamic and innovative environment.
As a member of our engineering team, you will be responsible for ensuring our cloud architecture remains resilient, secure, and efficient. You will collaborate with other engineers to solve complex technical problems and implement best practices across our AWS ecosystem. We value technical excellence and a proactive approach to problem-solving, offering a supportive workplace where your contributions directly impact the success of our scaling systems.
Key Requirements
Proven experience working with Amazon Web Services (AWS) ecosystem.
Strong understanding of cloud architecture and scalable design patterns.
Proficiency in Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
Experience with containerization technologies including Docker and Kubernetes.
Solid knowledge of CI/CD pipelines and modern DevOps methodologies.
Ability to manage and optimize large-scale cloud infrastructure environments.
Understanding of networking concepts such as VPC, Route 53, and Load Balancing.
Experience implementing AWS security best practices and compliance protocols.
Proficiency in at least one scripting language like Python, Bash, or Go.
Excellent analytical and problem-solving skills in a fast-paced environment.
0 Negotiable or Not Mentioned
Remote
52 days ago
ahimay.com
534 Views
We are seeking an experienced Senior Solution Architect to lead the design and implementation of scalable, secure, and high-performing enterprise solutions. The ideal candidate will bridge business requirements and technical execution, ensuring alignment with enterprise architecture standards and long-term technology strategy. The role involves defining end-to-end architecture for enterprise applications and platforms, translating business requir
~20,000 Mentioned
Remote
12 days ago
premagic.com
1721 Views
Premagic is currently seeking a motivated and enthusiastic DevOps Intern to join their dynamic team. This remote role is designed for students or recent graduates from the 2025, 2026, or 2027 batches who are looking to kickstart their career in infrastructure and cloud automation. The successful candidate will work closely with the engineering team to support and improve software development lifecycles through modern DevOps practices. The role offers a great environment for learning and growth within the tech industry.
Candidates should possess a foundational knowledge of cloud environments, containerization tools like Docker, and continuous integration/continuous deployment (CI/CD) workflows. The stipend for this position ranges from ₹20,000 to ₹30,000 per month. This is an excellent opportunity to gain hands-on experience in a fast-paced tech environment while developing professional skills in Linux scripting and problem-solving. Apply today by sending your resume to the designated email to join our innovative workforce.
Key Requirements
Basic understanding of DevOps principles and methodologies.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Familiarity with CI/CD tools and pipeline automation processes.
Basic experience with Docker or other containerization technologies.
Proficiency in Linux environments and shell scripting basics.
Strong analytical and problem-solving mindset.
Ability to work effectively in a remote team environment.
Current student or graduate from the 2025, 2026, or 2027 batches.
Eagerness to learn and adapt to new technologies and tools.
Excellent written and verbal communication skills.
0 Negotiable or Not Mentioned
Remote
13 days ago
w3global.com
1792 Views
We are seeking an experienced and certified Cloud/DevOps Engineer for an urgent 12-month C2C engagement. This position is 100% remote, allowing you to work from your preferred location while contributing to high-impact cloud infrastructure projects. The ideal candidate must possess a valid AWS Certified Solutions Architect – Associate certification and demonstrate deep technical expertise in managing and scaling AWS environments.
Your primary responsibilities will include designing, deploying, and maintaining robust DevOps pipelines and cloud infrastructure. You will work closely with development teams to automate processes, improve system reliability, and ensure optimal performance of cloud-based applications. This role offers a long-term contract opportunity to leverage your skills in a dynamic and flexible working environment.
Key Requirements
AWS Certified Solutions Architect – Associate certification (Must)
Extensive experience in Cloud and DevOps Engineering roles
Proficiency in designing and managing AWS cloud infrastructure
Strong knowledge of CI/CD pipeline automation and tools
Hands-on experience with Infrastructure as Code (IaC) such as Terraform
Familiarity with containerization technologies like Docker and Kubernetes
Solid scripting skills in Python, Bash, or similar languages
Ability to work effectively in a 100% remote environment
Strong analytical and troubleshooting skills for complex cloud issues
Effective communication skills for collaboration in a C2C contract setting
0 Negotiable or Not Mentioned
Remote
30 days ago
infotreeservice.com
1286 Views
We are seeking a dedicated Network Engineer I to join our technical team and manage sophisticated network infrastructures. The role involves working with TCP/IP, WAN/LAN systems, and providing high-level troubleshooting for routers, switches, and VPNs from vendors such as Cisco, Arista, and Palo Alto. You will also bridge the gap between networking and modern development by managing AWS and hybrid cloud environments. This position is ideal for a professional looking to leverage their technical skills in a flexible, remote setting. In addition to hardware management, you will drive efficiency through automation and scripting. By utilizing tools like Ansible, Puppet, and Chef, alongside scripting in Python or Perl, you will help automate repetitive tasks and optimize system performance. Successful candidates will have a Bachelor’s degree in Computer Science or a related field and a strong understanding of Linux/Unix environments. If you are passionate about network reliability and cutting-edge technology, we encourage you to apply.
Key Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or related field
Extensive experience with TCP/IP and WAN/LAN configurations
Expertise in troubleshooting Cisco, Arista, and Palo Alto hardware
Background in Cloud and DevOps specifically with AWS and hybrid environments
Proficiency in scripting using Python, Perl, and Unix shells
Experience with automation tools such as Ansible, Puppet, or Chef
Strong knowledge of Linux and Unix operating systems
Experience working with JSON and REST APIs
Familiarity with F5, Riverbed, and Wireless technologies
Skills in Java, Expect, or TCL for networking tasks
0 Negotiable or Not Mentioned
Remote
25 days ago
earlyjobs.ai
1340 Views
We are seeking a Sr AIOps Engineer with a focus on Azure to enhance our cloud operations and automation capabilities. In this role, you will be instrumental in implementing AI-driven operations to improve system reliability and performance. You will be responsible for building automated workflows, monitoring complex cloud environments, and leveraging data to predict and resolve operational issues before they impact the business.
This role requires a candidate who is deeply familiar with the Azure ecosystem and has a strong background in DevOps and SRE principles. You will be joining a team of innovators dedicated to pushing the boundaries of what is possible in cloud management. If you are passionate about automation, artificial intelligence, and cloud infrastructure, this is the perfect opportunity for you to make a significant impact.
Key Requirements
Deep expertise in Microsoft Azure cloud platform and services.
Proven experience in implementing AIOps strategies and tools.
Strong proficiency in scripting languages such as Python or PowerShell.
Experience with Azure Monitor, Log Analytics, and App Insights.
Knowledge of Infrastructure as Code (IaC) tools like Terraform or Bicep.
Understanding of machine learning concepts applied to IT operations.
Familiarity with CI/CD pipelines and DevOps workflows.
Experience in managing large-scale, highly available cloud systems.
Strong analytical and root-cause analysis skills.
Immediate availability for a senior-level role.
Ability to work effectively in a remote team environment.
0 Negotiable or Not Mentioned
Remote
55 days ago
boomering.zohorecruitmail.com
549 Views
Boomering is looking for a highly motivated and detail-oriented Cloud & Infrastructure Solutions Architect to join their team. This role is pivotal in leading the design and architecture of complex server, network, and cloud solutions tailored for both large-scale enterprises and smaller business environments. As a key technical leader, you will ensure that all infrastructure designs meet specific client requirements while maintaining high standa
0 Negotiable or Not Mentioned
Remote
12 days ago
zelarsoft.com
949 Views
We are seeking a passionate and dedicated Junior DevOps Engineer to join our growing team. In this role, you will work on real-time cloud infrastructure projects, focusing primarily on Google Cloud Platform (GCP) environments. You will be responsible for handling deployments, managing CI/CD automation pipelines, and ensuring the smooth operation of enterprise systems through end-to-end task ownership. This is an excellent opportunity to collaborate closely with senior engineers and gain deep hands-on exposure to SRE practices. Your daily responsibilities will involve monitoring cloud health, troubleshooting infrastructure issues, and optimizing resource usage using tools like Kubernetes and Terraform. As a Junior DevOps Engineer, you will contribute to the evolution of our deployment strategies and help maintain a robust, scalable architecture. We value continuous learning and offer a supportive environment where you can refine your skills in modern cloud technologies while delivering impactful solutions for our clients.
Key Requirements
At least 2 to 3 years of professional experience in DevOps or Cloud roles.
Proven hands-on experience with Google Cloud Platform (GCP) services.
Strong proficiency in building and maintaining CI/CD pipelines.
Direct experience with Kubernetes orchestration and container management.
Knowledge of Infrastructure as Code (IaC) tools, specifically Terraform.
Familiarity with Site Reliability Engineering (SRE) concepts and practices.
Ability to demonstrate end-to-end task ownership and project delivery.
Strong scripting capabilities in languages such as Python or Shell.
Understanding of cloud networking, security, and monitoring tools.
Excellent collaborative skills to work effectively with senior engineering teams.
0 Negotiable or Not Mentioned
Remote
20 days ago
lucasgroupglobal.com
1048 Views
Lucas Group is actively seeking experienced professionals in Artificial Intelligence, Machine Learning, and Intelligent Automation to connect with innovative organizations globally. These opportunities involve working on cutting-edge initiatives such as AI strategy, machine learning engineering, prompt engineering, and the development of LLM applications. Candidates will have the chance to explore roles in one of the fastest-growing sectors, contributing to enterprise AI transformations and data science projects. The positions are available across various regions including North America, Europe, Asia, the Middle East, Africa, and Oceania, with flexible work arrangements such as remote, hybrid, or on-site options.
As a candidate, you will be responsible for building, deploying, and supporting intelligent systems and AI workflows that solve real-world problems. Successful applicants will work across engineering, product, business, and executive teams to integrate AI models and optimize performance for production deployment. Lucas Group offers competitive compensation and significant long-term career growth potential. By submitting a single application, you gain access to multiple relevant opportunities within a network of companies leading the future of technology and digital transformation. Early applicants will receive priority consideration for these immediate hiring needs.
Key Requirements
Hands-on experience in AI, machine learning, deep learning, NLP, or automation.
Proficiency with tools and platforms such as Python, TensorFlow, and PyTorch.
Experience with LangChain, OpenAI, Gemini, Copilot, or Hugging Face.
Strong knowledge of SQL and various cloud AI services.
Ability to build, deploy, or support LLM-powered applications and AI workflows.
Experience in AI integration, model optimization, and experimentation.
Proven track record in production deployment of intelligent systems.
Ability to collaborate effectively across engineering, product, and business teams.
A passion for solving complex real-world problems using emerging technology.
Excellent communication skills to translate technical concepts for stakeholders.
Strong analytical and mathematical background relevant to data science.
Familiarity with Intelligent Automation or Robotic Process Automation (RPA) tools.