DevOps/AWS Cloud Egineer

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

we’d love to speak with you. Skills and Qualifications:

Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.

Proficiency in scripting languages such as Python, Bash, or Ruby.

Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.

Experience with cloud platforms such as AWS, Azure, or GCP.

Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.

Experience with version control systems such as Git.

Familiarity with Agile methodologies and practices.

Understanding of networking concepts and principles.

Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.

Good understanding of security and data protection principles.

Roles and responsibilities:

● Building and setting up new development tools and infrastructure

● Working on ways to automate and improve development and release processes

● Deploy updates and fixes

● Helping to ensure information security best practices

● Provide Level 2 technical support

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Task:

• Need to run our software products in different international environments (on premise and cloud providers)
• Support the developers while debugging issues
• Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system
• Integrate new technologies to support our products while growing in the market
• Develop Continuous Integration and Continuous Deployment Pipelines
• Maintain our on premise hosted servers and applications, like operating system upgrades, software upgrades, introducing new database versions etc.
• Automation of task to reduce amount of human errors and parallelize work

We wish:

• Basic OS knowledge (Debian, CentOS, Suse Enterprise Linux)
• Webserver administration and optimization (Apache, Traefik)
• Database administration and optimization (Mysql/MariaDB, Oracle, Elasticsearch)
• jvm administration and optimization application server administration and optimization (Servicemix, Karaf, Glassfish, Springboot)
• Scripting experience (Perl, Python, PHP, Java)
• Monitoring experience (Icinga/Nagios, Appdynamics, Prometheus, Grafana)
• Knowledge container management (Docker/ContainerD, DC/OS, Kubernetes)
• Experience with automatic deployment processes (Ansible, Gitlab-CI, Helm)
• Define and optimize processes for system maintenance, continuous integration, and continuous delivery
• Excellent communication skill & proficiency in English is necessary
• Leadership skill with team motivational approach
• Good Team player

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.

Your Contact for this position is Janki Raval .

Would you like to become part of this highly innovative, dynamic, and exciting world?

We look forward to your expressive Resume.

Job Description:

Responsibilities

·       Having E2E responsibility for Azure landscape of our customers

·       Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction

·       Make usage of CI/CD framework to rapidly support lifecycle management of the platform

·       Acting as L2-L3 support for incidents, problems and service request

·       Work with various Atos and 3rd party teams to resolve incidents and implement changes

·       Implement and drive automation and self-healing solutions to reduce toil

·       Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks

·       Support ITSM processes and collaborate with service management representatives

Job Requirements

·       Azure Associate certification or equivalent knowledge level

·       5+ years of professional experience

·       Experience with Terraform and/or native Azure automation

·       Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)

·       Must be adaptable to work in a varied, fast paced exciting, ever changing environment

·       Good analytical and problem-solving skills to resolve technical issues

·       Understanding of Agile development and SCRUM concepts a plus

·       Experience with Kubernetes architecture and tools a plus

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

• Design, Develop, deploy, and run operations of infrastructure services in the Acqueon AWS cloud environment
• Manage uptime of Infra & SaaS Application
• Implement application performance monitoring to ensure platform uptime and performance
• Building scripts for operational automation and incident response
• Handle schedule and processes surrounding cloud application deployment
• Define, measure, and meet key operational metrics including performance, incidents and chronic problems, capacity, and availability
• Lead the deployment, monitoring, maintenance, and support of operating systems (Windows, Linux)
• Build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
• Run incident resolution within the environment, facilitating teamwork with other departments as required
• Automate the deployment of new software to cloud environment in coordination with DevOps engineers
• Work closely with Presales, understand customer requirement to deploy in Production
• Lead and mentor a team of operations engineers
• Drive the strategy to evolve and modernize existing tools and processes to enable highly secure and scalable operations
• AWS infrastructure management, provisioning, cost management and planning
• Prepare RCA incident reports for internal and external customers
• Participate in product engineering meetings to ensure product features and patches comply with cloud deployment standards
• Troubleshoot and analyse performance issues and customer reported incidents working to restore services within the SLA
• Monthly SLA Performance reports

As a Cloud Operations Manager in Acqueon you will need…. 

• 8 years’ progressive experience managing IT infrastructure and global cloud environments such as AWS, GCP (must)
• 3-5 years management experience leading a Cloud Operations / Site Reliability / Production Engineering team working with globally distributed teams in a fast-paced environment
• 3-5 years’ experience in IAC (Terraform, K8)
• 3+ years end-to-end incident management experience
• Experience with communicating and presenting to all stakeholders
• Experience with Cloud Security compliance and audits
• Detail-oriented. The ideal candidate is one who naturally digs as deep as they need to understand the why
• Knowledge on GCP will be added advantage
• Manage and monitor customer instances for uptime and reliability
• Staff scheduling and planning to ensure 24x7x365 coverage for cloud operations
• Customer facing, excellent communication skills, team management, troubleshooting