{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Senior Systems Engineer (OpenStack)","description":"Responsibilities

Co-design, implement, and manage applications and services for hybrid virtualization and containerized platforms based on OpenStack and/or Red Hat OpenShift ensuring platform stability, performance and compliance with industry standards and best practices.
Collaborate with architecture and engineering teams on technology stack component evaluation and selection ensuring solutions are designed following best practices and optimized from both functional and non-functional perspectives.
Develop and implement plans to enhance the reliability of the applications and services infrastructure, addressing potential points of failure and ensuring high availability of services.
Collaborate with relevant teams to conduct regular performance assessments and implement improvements based on findings.
Prepare and participate in complex changes to production environments supporting operational teams.
Develop auto-test and automation solutions for cloud platform using tools like Jenkins and Selenium along with other configuration management tools such as Terraform, Ansible, Puppet, Chef, and GitLab CI/CD.
Provide L3 expert support including on-call shifts with focus on immediate incident management and resolutions, such as outages, breaches, and system failures.
Write and maintain relevant documentation ensuring completeness and quality.
Prepare and provide trainings for operational teams in the related technical domains.
Collaborate with security management teams to ensure that systems are safe and secure against cybersecurity threats.
Work closely with process management and operational teams and contribute to process development standardizing collaboration framework and improving collaboration efficiency.

Qualification, Experience, Competence and Certifications

Bachelor’s or Master’s degree in Computer Science, Engineering, Software Engineering, or other relevant technology field.
7+ years of hands-on experience in Linux Environments and 5+ years of experience in Senior Systems engineering role.
Experience in designing, deploying, and managing Kubernetes and/or OpenShift clusters with a deep understanding of Kubernetes architecture and ecosystem.
Experience in managing large-scale public or private cloud environments and/or work in a cloud service provider environment with exposure to high-load systems is highly desirable.
Experience working with virtualization technologies like Openstack and/or VMWare, computing technologies such as x86 hardware, OS, KVM/ESXi and orchestration services is highly desirable.
In-depth knowledge of frontend, application and middleware technologies such as Web ( Apache, Nginx), Kafka, RabbitMQ. Experience with deploying and managing scalable solutions that support enterprise-level applications.
Proficient in identity and access management (IAM) protocols such as SAML, OAuth 2.0, and OpenID Connect, with experience integrating these protocols for secure single sign-on (SSO) implementations across a variety of platforms and services.
Understanding of CI/CD principles, Infrastructure as Code (IaaC) approach and software defined infrastructure solutions and posesing demonstrable experience with infrastructure as code (IaC) using tools such as Terraform, Ansible.
Proficiency in scripting languages such as Python or Bash for automation of system tasks.
Solid understanding of security practices and tools, including experience with security scanning tools and implementation of security best practices.
Experience with database management and optimization for both SQL and NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Cassandra.
Knowledge of monitoring and observability tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.
Ability to design and implement disaster recovery and high availability strategies for critical application services.
Practical knowledge of network protocols (TCP/IP, HTTP, SSL/TLS) and network security measures.
Familiarity with data platform technologies for big data processing such as Hadoop, Spark, or data warehousing solutions is highly desirable.
Strong project management skills, with experience using agile methodologies and tools such as JIRA.
Knowledge and experience working with GPU-hardware and AI hardware accelerators is a plus.
Relevant certifications are highly desirable.
Strong organizational skills with the ability to multitask and prioritize.
A proactive approach to problem-solving and decision-making.

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