sre engineer

Donato Technologies Inc

<div><div><div>Greetings from Donato Technologies Inc.</div>
<div>We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resumes</div><div><br>
</div>
<div><b>Title: Sr. SRE / DevOps Engineer</b></div>
<div><b>Location: Sunnyvale, CA (Only Local candidate)</b></div>
<div><b>Client Interview &ndash; In-Person</b><br>
</div><div><b>Job Summary &ndash;</b><br>
</div><div>For this role, we are looking for a Sr. SRE / DevOps Engineer at Sunnyvale, California location.<br>
</div><div>As Site Reliability Engineer, the individual will work closely with multi-functional teams, automate operations, optimize infrastructure, implement security and solve issues in an exciting, fast-paced environment. The individual will play a vital role in ensuring that the systems are reliable, scalable, and high performing.<br>
</div><div><b>Responsibilities &ndash;</b><br>
</div><ul><li>Ensure system reliability and availability &ndash; Monitor system issues, create strategies to detect issues, address those issues, design automated systems to troubleshoot, write and review post-mortems.</li></ul><br>
<ul><li>Mitigate Operational risks - Collaborate with development teams and other stakeholders to identify potential risks, perform risk assessments, implement risk mitigation strategies, continuously monitor and review the effectiveness of risk strategies.</li></ul><br>
<ul><li>Monitor system health.</li></ul><br>
<ul><li>Minimize emergency response (MTTR).</li></ul><br>
<ul><li>Maintain CI/CD pipelines, etc.</li></ul><br>
<ul><li>Continuous improvement by collaborating with various teams.</li></ul><br>
<ul><li>Automation of processes.</li></ul><br>
<div>Must have/required experience and skills:<br>
</div><ul><li>8+ years of experience on DevOps and Site Reliability Engineering.</li></ul><br>
<ul><li>Hands-on with containerization and orchestration: Docker, Kubernetes/EKS.</li></ul><br>
<ul><li>Proficiency in infrastructure as code tools: Terraform, Ansible, or CloudFormation.</li></ul><br>
<ul><li>Experience setting up and managing services running on Kubernetes.</li></ul><br>
<ul><li>In-depth understanding of SRE principals including monitoring, alerting, error budgets, fault analysis, and automation.</li></ul><br>
<ul><li>In-depth knowledge of monitoring and observability tools: Apache Splunk</li></ul><br>
<ul><li>Knowledge of Linux operating system principles, networking fundamentals, and systems management</li></ul><br>
<ul><li>Demonstrable fluency in at least one of the following languages: Java or Python</li></ul><br>
<ul><li>Ability to identify and communicate technical and architectural problems, while working with partners and their team to iteratively find solutions.</li></ul><br>
<ul><li>Building and managing CI/CD pipeline &ndash; gatekeeping production deployments, develop and implement GIT branching strategies, branch protection rules, network policies, scale up/ scale down the load on AWS.</li></ul><br>
<ul><li>Strong problem-solving and analytical skills</li></ul><br>
<ul><li>Solve performance issues and scalability issues in the system.</li></ul><br>
<div><b>Technical Skills:</b><br>
</div><ul><li>DevOps and SRE</li></ul><br>
<ul><li>AWS Kubernetes/EKS, Docker</li></ul><br>
<ul><li>Terraform, Ansible, or CloudFormation</li></ul><br>
<ul><li>Apache Splunk, Apache Flink</li></ul><br>
<ul><li>Programming/Scripting using Java or Python</li></ul><br>
<ul><li>CI/CD</li></ul><br>
<ul><li>Database &ndash; Vertica, Snowflake.</li></ul><br>
<div><b>Behavioral Skills:</b><br>
</div><ul><li>Excellent Communication skills and collaboration skills</li></ul><br>
<ul><li>Ability to propose and implement improvements in the system</li></ul><br>
<ul><li>Ability to work with cross-functional stakeholders</li></ul><br>
<ul><li>Adaptability and a willingness to learn new technologies and techniques.</li></ul><br>
<ul><li>Proactive approach to issues, ability to provide prompt resolution/work</li></ul><div><br>
</div>
<div></div><div><b>Jennifer Sampson</b><br>
</div><div><b>Technical Recruiter</b></div>
<div>.......................................................</div>
<div><b>DONATO TECHNOLOGIES, INC</b></div>
<div>12100 Ford Rd, #306, Dallas, TX 75234</div>
<div>Direct : (469)-342-0401</div>
<div>Email: jenny@donatotech.com
</div><div>Web: www.donatotech.net</div></div></div>

Sr. SRE / DevOps Engineer - Sunnyvale, CA (Only Local candidate)

N-iX

India
<br><br>
<b>Work type:</b><br>
Office/Remote
<br><br>
<b>Technical Level:</b><br>
Senior
<br><br>
<b>Job Category:</b><br>
Software Development
<br><br>
<b>Project:</b><br>
American multinational e-commerce company
<br><br>
N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.
<br><br>
Our client is a global commerce leader where you can influence how the world buys, sells, and gives. You’ll be part of a work culture that’s been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help.
<br><br>
We are seeking a highly motivated, experienced SRE/MLOps engineer with Python and Ray.io to build and maintain the next generation AI platform. This role focuses on developing software on top of open-source libraries such as Ray, enabling internal teams to run ML workloads efficiently.
<br><br>
<b>Responsibilities:</b><br>
Build, refactor, and release software for the AI platform (feature development and bug fixes)
<br>Deploy and manage applications on Ray.io, including workload management, cluster deployment, distributed task scheduling, and troubleshooting
<br>Use Ray Dashboard and CLI tools to monitor and debug distributed jobs
<br><b>Work with Ray ecosystem libraries:</b> Ray Train, Ray Tune, Ray Serve, Ray Data
<br>Integrate with tools such as Airflow, MLflow, Dask, DeepSpeed (a plus)
<br>Collaborate with AI platform developers to provide CI/CD pipelines for automated deployment and configuration
<br>Ensure high availability (target 99.999%) and monitor production systems.
<br>Develop automation for problem management and operational efficiency
<br>Write documentation and provide technical support for internal users
<br><b>Follow best practices for development:</b> versioning, source control, branching, and merging patterns.
<br><br>
<b>Requirements:</b><br>
<b>Main coding language:</b> Python (C++ good to have)
<br>Strong experience with Ray.io, including at least two areas such as Ray Train or Ray Serve
<br><b>Kubernetes / Docker:</b> Proficient / Experienced
<br>Hands-on experience with distributed systems, cluster management, and cloud technologies
<br>Familiarity with DevOps practices, CI/CD pipelines, and test automation
<br>Excellent problem-solving, debugging, and triaging skills
<br>Strong communication skills for collaboration with partners, customers, and engineers
<br>Ability to manage multiple projects in a fast-paced environment
<br>TensorRT, DeepSpeed, PyTorch Distributed - will be a plus
<br>English proficiency (oral and written).
<br><br>
<b>Role specifics:</b><br>
<b>Infra vs. coding requirements:</b> 30% infrastructure (can be learned with guidance), 70% coding (essential for features and bug fixes)
<br><b>The role targets engineers rather than data scientists:</b> focus on deployment, abstractions, monitoring, and alerting of Ray applications at scale
<br>Ray proficiency is critical; second version of the platform will be built on Ray
<br>Understanding Racer for real-time serving and Ray Train for model training is required
<br><br>
<b>We offer*:</b><br>
Flexible working format - remote, office-based or flexible
<br>A competitive salary and good compensation package
<br>Personalized career growth
<br>Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
<br>Active tech communities with regular knowledge sharing
<br>Education reimbursement
<br>Memorable anniversary presents
<br>Corporate events and team buildings
<br>Other location-specific benefits
<br><br>
<ul>
<li>not applicable for freelancers</li>
</ul>


SRE / MLOps Engineer – Ray.io (Python)

ServiceNow

<div><b>Company Description</b><p><br>
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.</p><b><br>
Job Description</b><p><b><br>
What you get to do in this role:</b></p><p>
The AI Services team at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.</p><p>
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.</p><ul><li>
Build the best cloud-based AI/ML solutions to power intelligent enterprise services</li><li>
Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software</li><li>
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users</li></ul><br>
<b>
Qualifications</b><p><b><br>
To be successful in this role you have:</b></p><ul><li>
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.</li><li>
8+ years of related experience with a Bachelor's degree or Master's degree</li><li>
Expertise on management &amp; administration of <b>Kubernetes clusters</b></li><li><b>
Good experience</b><b> in Java or Python, OOP, Design Patterns, time and space-efficient algorithms</b></li><li>
Strong knowledge on Unix based operating systems &amp; workload management and networking systems.</li><li>
Hands on experience with <b>public cloud offerings </b>on major cloud platforms (Azure preferred &amp; AWS)</li><li>
Excellent Infrastructure as a Code skills using<b> Ansible, Puppet</b>. Ansible Tower is also a preferred skill.</li><li>
Experience with monitoring, alerting systems &amp; strong problem-solving/analytical skills.</li><li>
Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have</li></ul><br>
<b>
Additional Information</b><p><b><br>
Work Personas</b></p><p>
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.</p><p><b>
Equal Opportunity Employer</b></p><p>
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.</p><p><b>
Accommodations</b></p><p>
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.</p><p><b>
Export Control Regulations</b></p><p>
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.</p><p>
From Fortune. &copy;2025 Fortune Media IP Limited. All rights reserved. Used under license.</p></div>

Staff SRE/Devops Engineer - Kubernetes & Python

Tata Consultancy Services (TCS)

<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>387027</div>
</div><div><div><b>Desired Skills</b></div>
<div>Digital : Site Reliability Engineering (SRE)</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Site Reliability Engineering

Varishtha Infotech

<p>Experience: 5+years</p><p><b>Night Shift - Starts at 9.30 pm IST </b></p><p><b>Onsite full time opportunity </b></p><p><b>18 LPA max </b></p><p>Job Description<br/>We are looking for a DevOps Engineer with hands-on experience in ROS (Robot Operating System) to support deployment, scalability, and reliability of robotics software systems. The ideal candidate will work closely with robotics, perception, and autonomy teams to build robust CI/CD pipelines, containerized deployments, and Linux-based infrastructure for robot applications.</p><p><b>Key Responsibilities</b></p><ul><li>Design, build, and maintain <b>DevOps infrastructure for ROS / ROS2-based systems</b></li></ul><ul><li>Manage <b>CI/CD pipelines</b> for robotics software (GitHub Actions, GitLab CI, Jenkins)</li></ul><ul><li>Containerize ROS applications using <b>Docker</b> and orchestrate using <b>Kubernetes / K3s</b></li></ul><ul><li>Deploy and monitor robotics workloads on <b>edge devices and cloud environments</b></li></ul><ul><li>Maintain <b>Linux (Ubuntu) systems</b> used for robot development and deployment</li></ul><ul><li>Automate builds, testing, and deployments for ROS nodes, packages, and stacks</li></ul><ul><li>Collaborate with Robotics Engineers to support <b>simulation (Gazebo), testing, and releases</b></li></ul><ul><li>Ensure system reliability, logging, monitoring, and performance optimization</li></ul><ul><li>Implement security best practices for robotics infrastructure</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>5+ years of experience as a <b>DevOps / Platform / SRE Engineer</b></li></ul><ul><li>Strong experience with <b>Linux (Ubuntu preferred)</b></li></ul><ul><li>Hands-on experience with <b>ROS or ROS2</b> (deployment, builds, runtime support)</li></ul><ul><li>Strong knowledge of <b>Docker, Kubernetes (K8s/K3s)</b></li></ul><ul><li>Experience with <b>CI/CD tools</b> (Jenkins, GitLab CI, GitHub Actions)</li></ul><ul><li>Proficiency in <b>Bash / Python scripting</b></li></ul><ul><li>Experience managing <b>robot software builds and dependencies</b></li></ul><ul><li>Understanding of networking concepts relevant to robotics systems</li></ul><p><b>Good to Have</b></p><ul><li>Experience with <b>Gazebo / simulation pipelines</b></li></ul><ul><li>Cloud experience: <b>AWS / Azure / GCP</b></li></ul><ul><li>Experience with <b>edge computing / embedded Linux</b></li></ul><ul><li>Familiarity with <b>autonomous systems, robotics fleets, or industrial robots</b></li></ul><ul><li>Monitoring tools: Prometheus, Grafana, ELK stack</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,600,000.00 - ₹1,800,000.00 per year</p><p>Ability to commute/relocate:</p><ul><li>Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>Notice period</li><li>Current CTC</li><li>Expected CTC</li><li>Willing to do Night shift? If not please do not apply</li></ul><p>Experience:</p><ul><li>Linux (Ubuntu) systems: 3 years (Required)</li><li>DevOps&nbsp;/ Platform / SRE Engineer: 5 years (Required)</li><li> CI/CD tools (Jenkins, GitLab CI, GitHub Actions): 3 years (Required)</li><li>ROS or ROS2 (deployment, builds, runtime support): 3 years (Required)</li><li> Bash / Python scripting: 3 years (Required)</li><li>robot software builds and dependencies: 3 years (Required)</li></ul><p>Work Location: In person</p>

DevOps Engineer-ROS

<div></div><div><div><div><div><p>TCS is hiring for Cloud Kubernetes Engineer</p>
<p>
Experience &ndash; 5 to 10 Years</p>
<p>
Location &ndash; Hyderabad</p><br>
<p></p>
<p>
Job Description &ndash;<br>
</p>
<ul><li>4+ years of experience in Kubernetes</li>
<li>Development experience on DevOps/SRE automation</li>
<li>Focused on automation, containerization, and integration monitoring and configuration management.</li>
<li>Used Python and Shell-script for DevOps in both Linux &amp; Windows-based</li>
<li>Automated build and deployment process using Python and Shell Scripting</li>
<li>Experience in creating Docker Containers leveraging existing Linux Containers and AMI's in addition to creating Docker Containers from scratch. Etc.</li>
<li>Administered containerization technologies such as Docker and Kubernetes</li>
<li>Proficiency in scripting languages such as Python, Bash, JavaScript, Ruby</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385638</div>
</div><div><div><b>Desired Skills</b></div>
<div>DevOps</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Cloud Kubernetes Engineer

NetApp

<div>
 <strong>
  About NetApp
  <br/>
  <br/>
 </strong>
 NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.
 <br/>
 <br/>
 If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 As an SRE Engineer at NetApp India R&amp;D division, you will be responsible for the development, reliability, automation, and operations of AI-driven services across cloud and on-prem environments. You will be part of a highly skilled technical team named NetApp Active IQ, contributing to cutting-edge reliability engineering practices while enabling Generative AI (GenAI) innovation.
 <br/>
 <br/>
 Your focus will be on applying SRE principles to GenAI-powered services &mdash; ensuring they are scalable, fault-tolerant, highly available, and meet strict SLAs. You will bridge development and operations by building automation, observability, and self-healing capabilities for AI-driven workloads.
 <br/>
 <br/>
 This position requires an individual to be creative, team-oriented, technology savvy, driven to produce results and demonstrates the ability to working across teams
 <br/>
 <br/>
 Job Requirements
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain SRE automation tools for monitoring, deployment, and scaling of AI/GenAI workloads.
  </li>
  <li>
   Implement observability platforms (metrics, tracing, logging) tailored for GenAI services running on both Cloud and Onprem.
  </li>
  <li>
   Collaborate with engineering and data science teams to productionize GenAI models at scale.
  </li>
  <li>
   Build fault-tolerant infrastructure for AI pipelines using Kubernetes, Docker, and cloud-native tools.
  </li>
  <li>
   Drive capacity planning, incident management, and postmortem analysis with a focus on continuous reliability improvement.
  </li>
  <li>
   Implement CI/CD with automated testing and validation pipelines.
  </li>
  <li>
   Develop self-recovery mechanisms for critical services to minimize downtime.
  </li>
  <li>
   Ensure security, compliance, and resilience in AI-based applications and microservices.
  </li>
  <li>
   Interact with Active IQ engineering teams across geographies to leverage expertise and contribute to the tech community.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Education
 <br/>
 <br/>
 Typically requires no previous professional experience.
 <br/>
 <br/>
 At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer:
  <br/>
  <br/>
 </strong>
 NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
 <br/>
 <br/>
 <strong>
  Why NetApp?
  <br/>
  <br/>
 </strong>
 We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
 <br/>
 <br/>
 We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
 <br/>
 <br/>
 If you want to help us build knowledge and solve big problems, let's talk.
</div>


Software Engineer

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