
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
- The experience in AWS is desirable
- Python experience is optional however Power shell is mandatory
- Know-how on the use of GitHub

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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Job Description: Azure Integration Specialist (BizTalk to Azure Integration Services)
Experience: 4+ Years
Location: Hybrid / Remote
Employment Type: Full-Time
Role Overview
We are seeking an experienced Azure Integration Specialist with 4+ years of experience in enterprise application integration, including hands-on expertise in Microsoft BizTalk Server and Azure Integration Services (AIS). The ideal candidate will be responsible for designing, developing, supporting, and migrating integration solutions from BizTalk Server to Azure-based integration platforms.
Key Responsibilities
* Design, develop, and maintain enterprise integration solutions using Azure Integration Services.
* Participate in migration projects from Microsoft BizTalk Server to Azure Integration Services.
* Develop and support Azure Logic Apps, Service Bus, API Management, Azure Functions, and Event Grid solutions.
* Analyze existing BizTalk applications, orchestrations, maps, pipelines, and adapters for migration and modernization.
* Build and consume REST and SOAP APIs and integrate with third-party applications.
* Collaborate with business stakeholders, architects, and development teams to gather integration requirements.
* Troubleshoot and resolve integration issues in production and non-production environments.
* Implement monitoring, logging, and alerting for integration solutions.
* Ensure security, scalability, performance, and compliance requirements are met.
* Prepare technical documentation, design specifications, and deployment procedures.
Required Skills
* 4+ years of experience in enterprise application integration.
* Strong experience with Microsoft BizTalk Server administration and development.
* Hands-on experience with Azure Integration Services:
* Azure Logic Apps
* Azure Service Bus
* Azure API Management
* Azure Functions
* Event Grid
* Experience with XML, XSLT, JSON, and data transformation.
* Strong understanding of REST, SOAP, Web Services, and API integrations.
* Experience with Azure DevOps, CI/CD pipelines, and source control tools.
* Knowledge of integration patterns and messaging concepts.
* Good troubleshooting and analytical skills.
Preferred Skills
* Experience with BizTalk to Azure migration projects.
* Knowledge of Azure Monitoring, Application Insights, and Log Analytics.
* Experience with hybrid integration scenarios.
* Azure certifications are preferred.
Qualifications
* Bachelor’s degree in Computer Science, Information Technology, or a related field.
* Strong communication and stakeholder management skills.
* Ability to work independently and in a collaborative team environment.
Lightning Job By Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
Job Overview:
We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
Kindly apply at https://wohlig.keka.com/careers/jobdetails/54566
Responsibilities:
• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.
• Deploy and manage Kubernetes clusters using AWS.
• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.
• Monitor system performance using Datadog, ELK, and Cloudflare tools.
• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.
• Collaborate with development teams to design, implement and test infrastructure changes.
• Troubleshoot and resolve infrastructure issues as they arise.
• Participate in on-call rotation and provide support for production issues.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 3+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
• Strong understanding of Linux administration and shell scripting.
• Experience with automation tools such as Terraform, Ansible, or similar.
• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.
• Experience with container orchestration platforms such as Kubernetes.
• Familiarity with container technologies such as Docker.
• Experience with cloud providers such as AWS.
• Experience with monitoring tools such as Datadog and ELK.
Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently or in a team environment.
• Strong attention to detail.
• Ability to learn and apply new technologies quickly.
• Ability to work in a fast-paced and dynamic environment.
• Strong understanding of DevOps principles and methodologies.
About the Role
We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies.
Domains & Responsibilities
Frontend Development
- Build responsive and user-friendly web interfaces
- Translate UI/UX designs into functional applications
- Optimize performance and ensure cross-browser compatibility
Backend Development
- Develop APIs and server-side logic
- Work with databases and data storage solutions
- Ensure application security and performance
DevOps
- Assist in CI/CD pipeline setup and automation
- Manage deployments and cloud infrastructure
- Monitor system performance and reliability
AI / Machine Learning
- Develop and train ML models
- Work on NLP, automation, or AI-driven features
- Analyze datasets and evaluate model performance
Data Engineering
- Build and maintain data pipelines (ETL/ELT)
- Ensure data quality and availability
- Work with large datasets and optimize data workflows
Required Skills (Any Domain)
- Frontend: HTML, CSS, JavaScript, React/Vue/Angular
- Backend: Node.js / Python / Java / PHP, APIs, databases
- DevOps: Linux, Git, CI/CD basics, cloud fundamentals
- AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn
- Data Engineering: SQL, Python, data processing concepts
Good to Have
- Knowledge of Git and version control
- Basic understanding of cloud platforms (AWS/Azure/GCP)
- Problem-solving mindset and willingness to learn
- Exposure to real-world or academic projects
Who Should Apply
- Students or recent graduates in Computer Science, IT, or related fields
- Candidates with strong interest in any of the above domains
- Self-learners with project experience are highly encouraged
Internship Details
- Duration: 3–6 months
- Mode: Remote
- Certificate + PPO (Pre-Placement Offer) based on performance
What You’ll Gain
- Hands-on experience with real projects
- Mentorship from experienced professionals
- Exposure to industry tools and workflows
- Opportunity to convert to a full-time role
The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security.
Key Responsibilities
•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments
•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models
•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod
•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies
•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions
•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures
•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations
•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage
•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement
•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools
•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity
Required Qualifications
•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads
•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services
•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM)
•Scripting experience using PowerShell and/or Python
•Experience supporting production platforms with incident management, change control, and root cause analysis
•Understanding of cloud security fundamentals and enterprise governance requirements
Preferred Qualifications
•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks
•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS)
•Experience supporting data pipelines or feature stores used by machine learning systems
•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms
•Experience with observability tools
•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems
•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)
Title: Azure Cloud Developer/Engineer
Exp: 5+ yrs
Location: T-Hub, Hyderabad
Work from office (5 days/week)
Interview rounds: 2-3
Excellent comm skills
Immediate Joiner
Job Description
Position Overview:
We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.
Key Responsibilities:
- Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
- Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
- Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
- Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
- Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
- Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
- Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
- Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
- Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
- Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
- Work with Azure Key Vault for secrets and certificate management.
- Explore multi-cloud strategies, integrating AWS services where necessary.
Key Skills Required:
- Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
- Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
- Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
- Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
- Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
- CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
- Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
- Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
- Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
- Strong understanding of containerization, orchestration, and microservices architecture.
Certifications (Preferred):
Required:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure DevOps Engineer Expert
Nice to Have (AWS Experience):
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified DevOps Engineer – Professional
Nice to Have Skills:
- Experience with multi-cloud environments (Azure & AWS).
- Familiarity with container security tools (Aqua Security, Prisma Cloud).
- Experience with GitOps methodologies using tools like ArgoCD or Flux.
- Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).
Benefits
Why Join Us?
- Competitive salary with performance-based incentives.
- Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
- Access to training programs, workshops, and learning resources.
- Comprehensive health insurance coverage for employees and their families.
- Wellness programs and mental health support.
- Hands-on experience with large-scale, innovative cloud solutions.
- Opportunities to work with modern tools and technologies.
- Inclusive, supportive, and team-oriented environment.
- Opportunities to collaborate with global clients and cross-functional teams.
- Regular performance reviews with rewards for outstanding contributions.
- Employee appreciation events and programs.
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
- Strong communication skills (written and verbal)
- Responsive, reliable and results oriented with the ability to execute on aggressive plans
- A background in software development, with experience of working in an agile product software development environment
- An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
- Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
- Hands on experience with Kubernetes (EKS preferred)
- Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
- Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
- Ability to work across multiple projects simultaneously
- Ability to manage and work with teams and customers across the globe
- Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
- Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
- Docker and Kubernetes (EKS)
- Linux/UNIX Administration (Amazon Linux and RedHat).
- Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
- Configuration Management tools (Chef or Puppet or ansible).
- Log aggregations tools such as Elastic and/or Splunk.
- Automate infrastructure and application deployment-related tasks using terraform.
- Automate repetitive tasks required to maintain a secure and up-to-date operational environment.
Responsibilities
- Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
- Build AWS or other public cloud infrastructure using Terraform.
- Deploy and manage Kubernetes (EKS) based docker applications in AWS.
- Create custom OS images using Packer.
- Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
- Liaison between application development, infrastructure support, and tools (IT Services) teams.
- Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
- Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
- Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
- Learn on the job and explore new technologies with little supervision.
- Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.
Who we have in mind:
- Solid experience in building a solution on AWS or other public cloud services using Terraform.
- Excellent problem-solving skills with a desire to take on responsibility.
- Extensive knowledge in containerized application and deployment in Kubernetes
- Extensive knowledge of the Linux operating system, RHEL preferred.
- Proficiency with shell scripting.
- Experience with Java application servers.
- Experience with GiT and Subversion.
- Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
- Experience working in a large-scale operational environment.
- Internet and operating system security fundamentals.
- Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
- Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
- Experience with Configuration Management Automation tools (chef or puppet).
- Experience with virtualization, preferably on multiple hypervisors.
- BS/MS in Computer Science or equivalent experience.
- Excellent written and verbal skills.
Education or Equivalent Experience:
- Bachelor's degree or equivalent education in related fields
- Certificates of training in associated fields/equipment’s
The expectation is to set up complete automation of CI/CD pipeline & monitoring and ensure high availability of the pipeline. The automated deployment environment can be on-prem or cloud (virtual instances, containerized and serverless). Complete test automation and ensure Security of Application as well as Infrastructure.
ROLES & RESPONSIBILITIES
Configure Jenkins with load distribution between master/slave Setting up the CI pipeline with Jenkins and Cloud(AWS or Azure) Code Build Static test (Quality & Security) Setting up Dynamic Test configuration with selenium and other tools Setting up Application and Infrastructure scanning for security. Post-deployment security plan including PEN test. Usage of RASP tool. Configure and ensure HA of the pipeline and monitoring Setting up composition analysis in the pipeline Setting up the SCM and Artifacts repository and management for branching, merging and archiving Must work in Agile environment using ALM tool like Jira DESIRED SKILLS
Extensive hands-on Continuous Integration and Continuous Delivery technology experience of .Net, Node, Java and C++ based projects(Web, mobile and Standalone). Experience configuring and managing
- ALM tools like Jira, TFS, etc.
- SCM such as GitHub, GitLab, CodeCommit
- Automation tools such as Terraform, CHEF, or Ansible
- Package repo configuration(Artifactory / Nexus), Package managers like Nuget & Chocholatey
- Database Configuration (sql & nosql), Web/Proxy Setup(IIS, Nginx, Varnish, Apache).
Deep knowledge of multiple monitoring tools and how to mine them for advanced data Prior work with Helm, Postgres, MySQL, Redis, ElasticSearch, microservices, message queues and related technologies Test Automation with Selenium / CuCumber; Setting up of test Simulators. AWS Certified Architect and/or Developer; Associate considered, Professional preferred Proficient in: Bash, Powershell, Groovy, YAML, Python, NodeJS, Web concepts such as REST APIs and Aware of MVC and SPA application design. TTD experience and quality control with Sonarqube or Checkmarx, Tics Tiobe and Coverity Thorough with Linux(Ubuntu, Debian CentOS), Docker(File/compose/volume), Kubernetes cluster setup Expert in Workflow tools: Jenkins(declarative, plugins)/TeamCity and Build Servers configuration Experience with AWS CloudFormation / CDK and delivery automation Ensure end-to-end deployments succeed and resources come up in an automated fashion Good to have ServiceNow configuration experience for collaboration
What you will get:
- To be a part of the Core-Team 💪
- A Chunk of ESOPs 🚀
- Creating High Impact by Solving a Problem at Large (No one in the World has a similar product) 💥
- High Growth Work Environment ⚙️
What we are looking for:
- An 'Exceptional Executioner' -> Leader -> Create an Impact & Value 💰
- Ability to take Ownership of your work
- Past experience in leading a team
Goodera is looking for an experienced and motivated DevOps professional to be an integral part of its core infrastructure team. As a DevOps Engineer, you must be able to troubleshoot production issues, design, implement, and deploy monitoring tools, collaborate with team members to improve the existing and develop new engineering tools, optimize company's computing architecture, design and conduct security, performance, availability and availability tests.
Responsibilities:
This is a highly accountable role and the candidate must meet the following professional expectations:
• Owning and improving the scalability and reliability of our products.
• Working directly with product engineering and infrastructure teams.
• Designing and developing various monitoring system tools.
• Accountable for developing deployment strategies and build configuration management.
• Deploying and updating system and application software.
• Ensure regular, effective communication with team members and cross-functional resources.
• Maintaining a positive and supportive work culture.
• First point of contact for handling customer (may be internal stakeholders) issues, providing guidance and recommendations to increase efficiency and reduce customer incidents.
• Develop tooling and processes to drive and improve customer experience, create playbooks.
• Eliminate manual tasks via configuration management.
• Intelligently migrate services from one AWS region to other AWS regions.
• Create, implement and maintain security policies to ensure ISO/ GDPR / SOC / PCI compliance.
• Verify infrastructure Automation meets compliance goals and is current with disaster recovery plan.
• Evangelize configuration management and automation to other product developers.
• Keep himself updated with upcoming technologies to maintain the state of the art infrastructure.
Required Candidate profile :
• 3+ years of proven experience working in a DevOps environment.
• 3+ years of proven experience working in AWS Cloud environments.
• Solid understanding of networking and security best practices.
• Experience with infrastructure-as-code frameworks such as Ansible, Terraform, Chef, Puppet, CFEngine, etc.
• Experience in scripting or programming languages (Bash, Python, PHP, Node.js, Perl, etc.)
• Experience designing and building web application environments on AWS, including services such as ECS, ECR, Foregate, Lambda, SNS / SQS, CloudFront, Code Build, Code pipeline, Configuring CloudWatch, WAF, Active Directories, Kubernetes (EKS), EC2, S3, ELB, RDS, Redshift etc.
• Hands on Experience in Docker is a big plus.
• Experience working in an Agile, fast paced, DevOps environment.
• Strong Knowledge in DB such as MongoDB / MySQL / DynamoDB / Redis / Cassandra.
• Experience with Open Source and tools such as Haproxy, Apache, Nginx and Nagios etc.
• Fluency with version control systems with a preference for Git *
• Strong Linux-based infrastructures, Linux administration
• Experience with installing and configuring application servers such as WebLogic, JBoss and Tomcat.
• Hands-on in logging, monitoring and alerting tools like ELK, Grafana, Metabase, Monit, Zbbix etc.
• A team player capable of high performance, flexibility in a dynamic working environment and the ability to lead.
d ability to rain others on technical and procedural topics.











