dev ops engineer

KARL STORZ

<p></p><div><div><div><div><div>Job Function: Research &amp; Development
</div></div></div></div><div><div><div><div>Location:
Goleta, CA, US, 93117
</div></div></div></div><div><div><div><div>Work Location (for field-based positions):
</div></div></div></div><div><div><div><div>Work Flexibility: Hybrid
</div></div></div></div><div><div><div><div>Pay Range: $99,800 - $144,650
</div></div></div></div><div><div><div><div>Job ID: 4943
</div></div></div></div><p></p><div><div><div><div><h2 class="jobSectionHeader"><b>About the Role</b></h2>
<p>
At KARL STORZ, we&rsquo;re dedicated to advancing medical technology and improving patient care. We are seeking a <b>Senior Software Engineer (DevOps / CI-CD)</b> to lead the design and implementation of our value delivery pipeline for embedded medical device software.</p>
<p>
In this senior, hands-on leadership role, you&rsquo;ll drive a data-driven, continuous improvement vision grounded in lean and agile principles. You&rsquo;ll work closely with software development, IT, and global engineering teams to build a highly reliable, secure, and repeatable CI/CD pipeline with automated quality gates&mdash;ensuring the safe and efficient deployment of regulated medical device software.</p>
<h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2>
<ul>
<li><p>Lead the design, implementation, and evolution of CI/CD infrastructure for embedded medical device software</p>
</li>
<li><p>Serve as a senior technical lead within an agile development team</p>
</li>
<li><p>Build and support highly reliable, repeatable build and deployment pipelines with automated quality gates</p>
</li>
<li><p>Identify infrastructure needs and partner with IT to plan for current and future capacity</p>
</li>
<li><p>Install, configure, and maintain DevOps tools, reusable components, simulators, and test interfaces</p>
</li>
<li><p>Develop and maintain a comprehensive configuration management solution</p>
</li>
<li><p>Design, integrate, and test software across the deployment pipeline</p>
</li>
<li><p>Produce live dashboards and in-depth performance metrics for executive leadership</p>
</li>
<li><p>Drive data-driven continuous improvement initiatives using pipeline and delivery metrics</p>
</li>
<li><p>Define and promote best practices for DevOps, CI/CD, and embedded software development</p>
</li>
<li><p>Mentor and provide technical direction to less-experienced engineers</p>
</li>
<li><p>Collaborate effectively with global development teams, including overseas partners</p>
</li>
<li><p>Create and maintain clear, accurate technical documentation</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<ul>
<li><p>Senior-level software engineering experience with strong DevOps and CI/CD ownership</p>
</li>
<li><p>Proven experience leading DevOps transformations in complex environments</p>
</li>
<li><p>Extensive expertise with Linux platforms and tooling (gcc, gdb, make, shell scripting, etc.)</p>
</li>
<li><p>Hands-on experience installing, configuring, and maintaining:</p>
<ul>
<li><p>Source control systems</p>
</li>
<li><p>Continuous integration tools</p>
</li>
<li><p>Configuration management systems</p>
</li>
</ul></li><li><p>Strong experience with system and server administration, scripting, and automation</p>
</li>
<li><p>Experience with networking, security, databases, and cloud-based systems</p>
</li>
<li><p>Strong software design skills and ability to write clean, maintainable, well-documented code</p>
</li>
<li><p>Ability to work independently with minimal supervision while leading by example</p>
</li>
<li><p>Excellent communication skills and ability to collaborate across teams and geographies</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul>
<li><p>Experience working in regulated industries (medical devices, aviation, financial services)</p>
</li>
<li><p>Knowledge of medical device quality systems and standards (FDA 21 CFR Part 820, ISO 13485, ISO 9001)</p>
</li>
<li><p>Experience with embedded software development in C/C++</p>
</li>
<li><p>Familiarity with cross-compilation, custom toolchains, and management of open-source (FOSS) components</p>
</li>
<li><p>Exposure to microprocessor and embedded systems innovations</p>
</li>
<li><p>Experience with cloud and hybrid (on-prem + cloud) environments</p>
</li>
</ul><h2 class="jobSectionHeader"><b>What You&rsquo;ll Need to Succeed</b></h2>
<ul>
<li><p>A strong continuous improvement mindset grounded in lean and agile principles</p>
</li>
<li><p>Ability to translate technical requirements into scalable, reliable DevOps solutions</p>
</li>
<li><p>Strong problem-solving skills with a proactive, solutions-oriented approach</p>
</li>
<li><p>Confidence making architectural and tooling decisions that impact delivery at scale</p>
</li>
<li><p>Ability to communicate technical concepts clearly to engineers, leadership, and stakeholders</p>
</li>
<li><p>Strong project planning and estimation skills to keep initiatives moving forward</p>
</li>
<li><p>Enthusiasm for building high-quality, safety-critical medical device software</p>
</li>
</ul><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<ul>
<li><p>Opportunity to lead DevOps strategy for cutting-edge medical device technology</p>
</li>
<li><p>Collaborative, cross-functional, and global engineering environment</p>
</li>
<li><p>Professional growth and leadership development opportunities</p>
</li>
<li><p>Competitive compensation and comprehensive benefits package</p>
</li>
</ul><h2 class="jobSectionHeader"><b>Who We Are</b></h2>
<p>
KARL STORZ is an independent, family-owned company headquartered in Germany&rsquo;s renowned MedTech manufacturing region. For over 80 years, we&rsquo;ve pioneered groundbreaking innovations in endoscopic surgery, video imaging, and OR integration&mdash;improving patient outcomes worldwide.</p>
<p>
With more than 9,000 associates globally and 2,600 in the U.S., we combine cutting-edge technology, precision engineering, and exceptional customer support. It&rsquo;s not just about the tools we create&mdash;it&rsquo;s about the lives we change, together.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>MA Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</b></h2>
</div></div><div><div><h2 class="jobSectionHeader"><b>Eligible Employee Benefits</b></h2><ul>
<li>Medical / Dental / Vision including a state-of-the-art wellness program and pet insurance, too!</li>
<li>3 weeks vacation, 11 holidays plus paid sick time</li>
<li>Up to 8 weeks of 100% paid company parental leave; includes maternal/ paternal leave, adoption, and fostering of a child.</li>
<li>401(k) retirement savings plan providing a match of 60% of the employee&rsquo;s first 6% contribution (up to IRS limits)</li>
<li>Section 125 Flexible Spending Accounts</li>
<li>Life, STD, LTD &amp; LTC Insurance</li>
<li>We prepay your tuition up to $5,250 per year! - Tuition pre-imbursement</li>
<li>Fitness reimbursement of up to $200 annually</li>
<li>And much more!</li>
</ul>
<p>KARL STORZ reserves the right to change or modify the employee&rsquo;s job description whether orally or in writing, at any time during the employment relationship. Additionally, KARL STORZ, through its supervisors, may require an employee to perform duties outside their normal description within the sole discretion of the supervisor. Employees must comply will all applicable KARL STORZ policies and procedures.</p></div></div><p></p><div><div><div><div><div><h4 class="jobSectionHeader"><b><br>
</b></h4></div><div><div><p>KARL STORZ is committed to creating an inclusive space where employees are valued for their skills and unique experiences. To achieve this goal, we are committed to diverse voices, and all applicants will receive consideration without regard to race, color, sex, national origin, disability, veteran status, or any other protected characteristic. KARL STORZ is also committed to providing reasonable accommodations during our recruitment process. Should you need assistance or accommodation please email us at taoperations@karlstorz.com.
</p></div></div></div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>Get in Contact</b></h2>
</div></div><p></p><div><div><div><div>4943<br>
</div></div></div></div><div></div><p><br>
<b>Nearest Major Market: </b>Santa Barbara
<br>
<b>Nearest Secondary Market: </b>Santa Maria</p></div>

Dev Ops Engineer IV

Dentsu

<div></div><div><div>Job Description:</div><div>
Job Description &ndash; Dev Ops Engineer</div><div></div><div>
Greetings from Merkle!</div><div><div>
Merkle</div>, a <div>Dentsu</div> company is a customer experience transformation business partner to the Fortune 1000. The future of brand loyalty and competitive advantage is the customer experience, and we empower the world&rsquo;s leading brands to transform their data, technology, and organizational capabilities to deliver those differentiated customer experiences across marketing, sales, commerce, and service. For more than 30 years, we have built upon our heritage in data, analytics, and technology, building unmatched skills in hyper-personalization.</div><div></div><div>
Job Summary:</div><div>
The purpose of this role is to lead the collaboration with SRE Engineers and DevSecOps Engineers to formulate designs that can be built, tested and deployed through the Route to Live and into Production using continuous integration / deployment.</div><div></div><div>
Job Responsibilities:</div><ul><li>
Configure build and deploy pipelines (e.g., GitHub Actions, Bitbucket Pipelines, Jenkins, AWS Code Pipeline).</li><li>
Automate: For instance -:<ul><li>
React and Flask build (npm install, npm run build)</li><li>
Python backend packaging (pip install, unit tests)</li><li>
QA automation test runs (trigger Selenium/PyTest/Cypress suites)</li>
Deployment to AWS environments (Dev QA<li> Prod).</li></ul></li><li>
Containerization &amp; Orchestration<ul><li>
Create Docker images for both React and Python apps.</li><li>
Use ECS/EKS (Kubernetes), or Docker Compose for deployments.</li><li>
Manage multi-environment configurations (dev, qa, prod).</li></ul></li><li>
Knowledge on Automation QA Integration<ul><li>
Integrate test automation into CI/CD pipeline:<ul><li>
Run Selenium/Cypress or PyTest on each deployment.</li><li>
Automatically publish test results and screenshots.</li><li>
Block deployment if regression or smoke tests fail.</li></ul></li></ul></li><li>
Monitoring &amp; Logging<ul><li>
Implement logging and monitoring:<ul><li>
Alerts on high latency, failed builds, or resource exhaustion.</li></ul></li></ul></li><li>
Designs and ensures the use of continuous delivery pipelines and tools to fully automate deployment, testing, delivery and management of development, QA and production systems</li><li>
Collaborates with other Leads in other Technology functions to deliver reliable, robust, scalable solutions which can be built, tested and deployed through a standardized Route to Live and into Production using continuous integration / deployment</li><li>
Identifies and implements DevOps engineering best practices</li><li>
Continuous learning and evaluation of the latest approaches, tools and technologies</li><li>
 Continuous learning and evaluation of the latest approaches, tools and technologies</li></ul><div></div><div>
Job Requirements:</div><div>
Must Have:</div><ul><li>
Minimum 6 to 8 years of experience</li><li>
Strong experience in cloud environments, Kubernetes, Infrastructure as code, containers, serverless</li><li>
Provisioning of SQL and NoSQL databases</li><li>
Collaborate closely with developers to automate and improve development, testing and release process to deliver applications at speed and scale</li><li>
Experience in building CI/CD pipelines, process automation, configuration management</li><li>
Knowledge of Git, Github flows, Github actions / Jenkins</li></ul><div></div><div>
Good to have:</div><ul><li>
Experience in AWS cloud.</li><li>
Experience in Terraform</li><li>
Experience in MongoDB</li><li>
Experience in PostgreSQL</li><li>
Python/SQL/Scripting</li></ul><div></div><div>
Location:</div>
DGS India - Bengaluru - Manyata N1 Block<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

DevOps Engineer

Basharsoft

<div><h2 class="jobSectionHeader"><b>OutSystems DevOps Engineer</b></h2><p><b>
Job Summary:</b><br>
Responsible for CI/CD pipelines, deployment automation, environment management, and platform monitoring for OutSystems applications.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Manage OutSystems environments (Dev, Test, Prod).</li><li>
Implement CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions).</li><li>
Automate deployments using OutSystems Lifetime APIs.</li><li>
Monitor application performance, logs, and platform health.</li><li>
Support versioning, backups, and release management.</li><li>
Implement DevOps best practices across teams.</li></ul><h3 class="jobSectionHeader"><b>
Requirements</b><b>:</b></h3><ul><li>
Experience with DevOps tools (Git, Docker, Azure DevOps, Jenkins).</li><li>
Knowledge of OutSystems Lifetime and Deployment processes.</li><li>
Strong understanding of cloud environments (Azure/AWS).</li><li>
DevOps certifications are an advantage.</li></ul></div>

OutSystems DevOps Engineer | Saudi Arabia

Futops Technologies India

<div><h2 class="jobSectionHeader"><b>Job Title: ML Ops Engineer</b></h2><div><b>
Location:</b> Delhi/NCR (Work From Home / Remote/Hybrid)</div><div><b>
Experience:</b> 5+ Years</div><div><b>
Employment Type:</b> Full-time</div><h3 class="jobSectionHeader"><b>
About the Role</b></h3><div>
We are looking for an experienced <b>MLOps Engineer</b> who can design, build, and manage scalable cloud infrastructure to support our machine learning workflows. The ideal candidate will have a strong DevOps background, hands-on expertise in AWS services, and a solid understanding of ML operationalization. This role requires strong ownership, problem-solving skills, and the ability to drive end-to-end infrastructure automation.</div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div>
Design, implement, and manage <b>AWS-based cloud infrastructure</b> for ML and data workloads.</div><div>
Build and maintain <b>CI/CD pipelines</b> for ML model training, testing, and deployment.</div><div>
Work extensively with <b>Docker, Kubernetes</b>, and container orchestration platforms.</div><div>
Manage and optimize <b>container runtime environments</b>; exposure to <b>ROSA</b> is an added advantage.</div><div>
Support large-scale ML operations, including GPU-enabled workloads.</div><div>
Develop automation and tooling using <b>Python, Go, Bash, or Ruby</b>.</div><div>
Implement and manage <b>Infrastructure as Code (IaC)</b> using Terraform, Terragrunt, and Chef.</div><div>
Set up and monitor systems using <b>Prometheus, Grafana, and the ELK stack</b>.</div><div>
Assist in scaling infrastructure for distributed systems such as <b>Elasticsearch, Kafka, HBase, and Spark</b>.</div><div>
Collaborate closely with data scientists, engineers, and product teams to streamline deployment workflows.</div><div>
Troubleshoot complex issues across the infrastructure, environment, and ML stack.</div><h3 class="jobSectionHeader"><b>
Required Qualifications &amp; Skills</b></h3><div>
B.Tech (or equivalent) in <b>Computer Science</b> or related field.</div><div><b>
5+ years</b> of hands-on experience in DevOps or MLOps.</div><div>
Strong expertise in <b>AWS cloud services</b>.</div><div>
Proficiency with <b>Docker, Kubernetes</b>, and container ecosystem.</div><div>
Good understanding of <b>ML techniques</b>, Linux systems, GPU workloads, and large-scale deployments.</div><div>
Strong scripting/programming skills in <b>Python / Go / Bash / Ruby</b>.</div><div>
Experience with <b>Terraform, Terragrunt, Chef</b> for infrastructure automation.</div><div>
Familiarity with monitoring tools like <b>Prometheus, Grafana, ELK stack</b>.</div><div>
Knowledge of scaling data infrastructure such as <b>Elasticsearch, Kafka, HBase, Spark</b>.</div><div>
Strong analytical, problem-solving, communication, and collaboration skills.</div><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><div><b>
Remote-first</b> work culture.</div><div>
Opportunity to work on cutting-edge ML infrastructure.</div><div>
Collaborative and growth-oriented team environment.</div><div>
Freedom to innovate and implement your ideas.</div></div>

ML Ops Engineer

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
Role Overview<br>
GE HealthCare&rsquo;s Chief Data and Analytics Office (CDAO) delivers innovative data, insights, and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) initiatives by combining agile execution with industry-leading methods and tools.<br>
As a GenAI/ML Ops Engineer, you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions. You will design, deliver, and maintain robust development and deployment pipelines for high-impact AI applications across key business domains within GE HealthCare &mdash; including Finance, Commercial, Supply Chain, Quality, Operational Excellence, Lean, and Manufacturing.<br>
We are seeking a highly skilled and motivated engineer experienced in ML and GenAI operations, software development, and AI architecture to join our dynamic and growing team.<p>
tex</p><p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><h1 class="jobSectionHeader"><b>
Core Responsibilities</b></h1><ul><li><b>
Develop and operationalize ML and GenAI pipelines</b> to enable scalable, reliable, and secure deployment of AI models across GE HealthCare&rsquo;s enterprise landscape.</li><li><b>
Automate model lifecycle management</b>, including model versioning, continuous integration (CI/CD), testing, deployment, <b>observability and monitoring</b>, and governance in alignment with enterprise standards.</li><li><b>
Partner with IT and cloud teams</b> to optimize infrastructure for AI workloads across hybrid and multi-cloud environments (AWS, Azure)</li><li><b>
Collaborate with cross-functional teams</b> &mdash; including data scientists, software engineers, architects, and domain experts &mdash; to ensure smooth end-to-end delivery of AI solutions.</li><li><b>
Integrate Generative AI capabilities</b> (e.g., LLMs, multimodal models) into business workflows, enhancing automation, productivity, and decision intelligence.</li><li><b>
Conduct research and proof-of-concepts</b> to evaluate emerging tools, frameworks, and architectures for GenAI and ML Ops (e.g., LangChain, MLflow, Kubeflow, MS Copilot, OpenAi Agent Builder)</li><li><b>
Mentor and guide</b> data science and engineering teams on best practices in productionizing AI models and managing their lifecycle.</li><li><b>
Promote a culture of innovation</b>, collaboration, and continuous improvement within the Enterprise AI team.</li></ul><h1 class="jobSectionHeader"><b>
Experience &amp; Qualifications</b></h1><ul><li><b>
PhD or Master&rsquo;s degree</b> in Computer Science, Data Science, Engineering, or a related discipline with a strong focus on Machine Learning, Deep Learning, or AI Operations.</li><li><b>
1&ndash;3 years of hands-on experience</b> in developing, deploying, and maintaining ML/AI development pipelines and applications in enterprise environments.</li><li>
Knowledge of <b>API development and orchestration frameworks</b> (FastAPI, Flask, Airflow).</li><li>
Demonstrated expertise in <b>MLOps / GenAIOps tools and frameworks</b> (e.g., MLflow, SageMaker, Bedrock , LangSmith, LangGraph).</li><li>
Experience in <b>Python</b>, cloud platforms (<b>AWS, Azure</b>), and <b>open-source data science tools</b> (Jupyter, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).</li><li>
Understanding of <b>containerization, CI/CD, and DevOps practices</b> (Docker, Kubernetes, GitHub Actions, Jenkins).</li><li>
Experience with <b>data preprocessing, feature engineering</b>, and <b>model evaluation</b> in real-world, large-scale environments.</li><li>
Experience with <b>LLMs and generative AI models</b>, including transformers, diffusion models, self-supervised learning, and prompt engineering.</li><li>
Proven ability to <b>translate research and prototypes into scalable enterprise-grade solutions</b>.</li><li>
Excellent <b>communication, collaboration, and stakeholder management</b> skills, with the ability to influence both technical and executive audiences.</li><li><b>
Curiosity and drive for continuous learning</b>, staying current with advances in GenAI, MLOps, and AI infrastructure technologies.</li><li>
Problem-solving, debugging, and analytical skills, with clear and persuasive communication to technical audiences.</li></ul></div>

GenAI and ML Ops Engineer

NTT DATA, Inc.

<div>
 <p>
  We are looking for a MLOps Engineer / DataOps Engineer with Cloud / Databricks experience. The role will be responsible for seamless flow of information throughout the company, maintaining and managing the production data pipelines.
 </p>
 <p>
  You will be working across a variety of tasks, primarily cloud engineering, establishing best practice and building out our Databricks Data Lakehouse. You will also be provisioning and maintaining the data clusters and data catalogs, monitoring existing pipelines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Description
 </p>
 <p>
  <strong>
   DataOps Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Manage and optimize data pipelines and operations within the Databricks platform and cloud-based data lakes.
  </li>
  <li>
   Perform DML operations, data exports/imports, and schema management.
  </li>
  <li>
   Monitor data server health, investigate anomalies, and resolve performance issues.
  </li>
  <li>
   Analyze execution logs and troubleshoot data-related problems.
  </li>
  <li>
   Manage user access and ensure data security and compliance.
  </li>
  <li>
   Conduct regular database cleanup and optimization activities.
  </li>
  <li>
   Tune database objects and storage formats for performance and efficiency.
  </li>
  <li>
   Audit and enhance query performance; refactor tables or views as needed.
  </li>
  <li>
   Collaborate with platform and product teams to translate business needs into data solutions.
  </li>
  <li>
   Document data workflows, access policies, and operational procedures.
  </li>
 </ul>
 <p>
  <strong>
   MLOps Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring.
  </li>
  <li>
   Automate model deployment using CI/CD practices and tools
  </li>
  <li>
   Monitor model performance, drift, and resource usage in production environments.
  </li>
  <li>
   Collaborate with Data Scientists to operationalize models and ensure reproducibility.
  </li>
  <li>
   Manage model versioning, rollback strategies, and deployment readiness.
  </li>
  <li>
   Implement observability and alerting for ML systems using tools like Prometheus and Grafana.
  </li>
  <li>
   Ensure compliance with data governance and model auditability standards.
  </li>
  <li>
   Support post-deployment troubleshooting and continuous improvement of ML systems.
  </li>
 </ul>
 <p>
  <strong>
   Knowledge and Attributes:
  </strong>
 </p>
 <ul>
  <li>
   Proficient in both SQL and NoSQL systems at scale.
  </li>
  <li>
   Strong programming skills in Python and/or Scala.
  </li>
  <li>
   Hands-on experience with Databricks, ETL pipelines, and data warehousing.
  </li>
  <li>
   Deep understanding of data modeling, schema design, joins, and key relationships.
  </li>
  <li>
   Skilled in database performance tuning and high-availability configurations.
  </li>
  <li>
   Strong analytical and algorithmic problem-solving capabilities.
  </li>
  <li>
   Effective communicator with the ability to collaborate across Engineering, Product, Operations, and Support teams.
  </li>
  <li>
   Demonstrates a proactive learning mindset and adaptability to evolving technologies.
  </li>
  <li>
   Capable of holistic system thinking across applications, databases, OS, and storage.
  </li>
  <li>
   Experienced in CI/CD pipeline design, automation tooling, and source code management.
  </li>
  <li>
   Familiar with deployment and release management best practices.
  </li>
  <li>
   Highly organized with strong planning, documentation, and project management skills.
  </li>
  <li>
   Client-focused with a commitment to delivering business outcomes.
  </li>
  <li>
   Detail-oriented and collaborative, with the ability to work effectively in team environments.
  </li>
 </ul>
 <p>
 </p>
</div>


Data/ML Ops Engineer

Hybrid Image Airbrush

<div>
 Paradise Architectural PANELS &amp; STEEL is a leading manufacturer and supplier of high-quality architectural panels and steel products. Our company is committed to providing innovative and sustainable solutions for the construction industry. We are dedicated to delivering exceptional customer service and superior products to our clients.
 <br/>
 <br/>
 Job Description:
 <br/>
 <br/>
 We are seeking a highly skilled and experienced DevOps Engineer to join our team at Paradise Architectural PANELS &amp; STEEL. As a DevOps Engineer, you will be responsible for designing, implementing and maintaining our company's software development infrastructure. You will work closely with our development and operations teams to ensure the smooth and efficient delivery of our products.
 <br/>
 <br/>
 Key Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement and maintain software development infrastructure
  </li>
  <li>
   Automate software deployment processes using tools like Jenkins, Ansible, and Docker
  </li>
  <li>
   Monitor and maintain the health and performance of our systems
  </li>
  <li>
   Troubleshoot and resolve any issues that arise in the development and production environments
  </li>
  <li>
   Collaborate with development and operations teams to improve processes and workflows
  </li>
  <li>
   Develop and maintain documentation for system configurations and processes
  </li>
  <li>
   Stay up-to-date with the latest DevOps trends and technologies and make recommendations for improvements
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering or a related field
  </li>
  <li>
   Minimum of 2 years of experience in a DevOps or similar role
  </li>
  <li>
   Strong knowledge of Linux operating systems and scripting languages such as Bash or Python
  </li>
  <li>
   Experience with automation and configuration management tools such as Jenkins, Ansible, and Puppet
  </li>
  <li>
   Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud
  </li>
  <li>
   Knowledge of containerization technologies like Docker and Kubernetes
  </li>
  <li>
   Excellent problem-solving and troubleshooting skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Ability to work in a fast-paced and dynamic environment
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are a highly motivated and skilled DevOps Engineer looking for a new challenge, we encourage you to apply for this position at Paradise Architectural PANELS &amp; STEEL. Join our team and help us continue to provide exceptional products and services to our clients.
</div>


DevOp Engineer

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