Senior DevOps Engineer (Hybrid; 80-100%; m/f/x/d)

<p>Are you a skilled DevOps professional with an interest in emerging technologies? If yes - we have an outstanding opportunity for you to enhance our global platform while adhering to industry standards.</p> <p> </p> <p>About the Role</p> <p> </p> <p>As Senior DevOps Engineer at iptiQ by SwissRE help drive technological advancements and contribute to our SaaS platform's ongoing development.</p> <p> </p> <p>Key Responsibilities:</p> <ul> <li> <p>Design, implement, and maintain CI/CD pipelines to enhance deployment and monitoring capabilities.</p> </li> <li> <p>Collaborate closely with the development and data engineering teams to ensure operational standards are met.</p> </li> <li> <p>Lead efforts in automating and streamlining operations and processes.</p> </li> <li> <p>Establish and improve monitoring, logging, and alerting frameworks to detect and resolve issues promptly.</p> </li> <li> <p>Evaluate and adopt tools and technologies to improve the system infrastructure and build processes.</p> </li> <li> <p>Ensure system security, data integrity, and high availability of the platform.</p> </li> <li> <p>Advocate for, and implement, system improvements in areas such as container orchestration, service mesh, and observability.</p> </li> <li> <p>Document processes, systems and best practices for maintainability and knowledge transfer.</p> </li> </ul> <p> </p> <p>Our Technology Stack:</p> <p>Our cloud-native, multi-tenant SaaS platform operates on AWS, embodying a robust and scalable architecture. Here are the key technologies we use:</p> <p> </p> <ul> <li> <p>Backend: Utilizing Kotlin, Java, and SpringBoot, orchestrated via Docker and Kubernetes. Real-time data streaming is managed through Apache Kafka.</p> </li> <li> <p>Database Management: We employ MongoDB and PostgreSQL for a balanced approach to NoSQL and relational data handling.</p> </li> <li> <p>Frontend: Our user interfaces are built with ReactJS and TypeScript, ensuring a responsive and intuitive user experience.</p> </li> <li> <p>Continuous Delivery: Our pipeline is streamlined with GitLab, facilitating a consistent and reliable delivery process.</p> </li> <li> <p>Monitoring and Logging: Employing a suite comprising Prometheus, ElasticSearch, Kibana, Grafana and AWS X-Ray for comprehensive system monitoring and log management.</p> </li> <li> <p>Data Lake: Built on AWS S3 and AWS Aurora, with AWS Lambda and DTB handling most data transformations, ensuring a well-structured and manageable data ecosystem.</p> </li> <li> <p>Reporting: Tableau serves as our primary tool for data visualization and reporting, aiding in data-driven decision-making.</p> </li> <li> <p>Data Mesh Initiative: We are in the preliminary stages of implementing a Data Mesh architecture to enhance data discoverability and decentralization.</p> </li> <li> <p>AI &amp; Real-time Analytics Exploration: Initiating investigations into AI and real-time analytics to potentially enhance our platform's capabilities.</p> </li> </ul> <p> </p> <p>About the Team</p> <p> </p> <p>We are a diverse, international team of highly motivated individuals with a strong team spirit. We believe in mutual support to help each other succeed.</p> <p> </p> <p>About You</p> <p> </p> <p>You are an experienced and passionate DevOps professional with excellent problem-solving skills. Moreover you can describe yourself as a true team-player and a confident communicator who can engage with colleagues in person, in writing and online meetings.</p> <p> </p> <p>Essential Skills:</p> <ul> <li> <p>Strong experience with AWS, particularly in areas like AWS EKS, AWS RDS, AWS S3, and AWS MSK.</p> </li> <li> <p>Proficient in setting up and maintaining CI/CD pipelines, with a good grasp on GitLab or similar tools.</p> </li> <li> <p>Solid understanding of container orchestration, preferably with Kubernetes.</p> </li> <li> <p>Familiarity with monitoring and logging tools such as Prometheus, ElasticSearch, Kibana, Grafana and AWS X-Ray.</p> </li> <li> <p>Demonstrated experience in automating, configuring, and optimizing the performance of large-scale systems.</p> </li> </ul> <p> </p> <p>Bonus Skills:</p> <ul> <li> <p>Experience or interest in Data Mesh architectures.</p> </li> <li> <p>Knowledge of real-time data processing, particularly Apache Kafka.</p> </li> <li> <p>Familiarity with Terraform or TerraGrunt for Infrastructure as Code (IaC).</p> </li> <li> <p>Exposure to AI and real-time analytics exploration is a plus.</p> </li> </ul> <p> </p> <p>What Awaits You</p> <p> </p> <ul> <li> <p>Exploration of Emerging Technologies: Delve into emerging tech trends, including preliminary explorations into AI.</p> </li> <li> <p>Unbounded Growth: A realm with endless opportunities for career ascension and skill refinement.</p> </li> <li> <p>Fostering Culture: Thrive in a culture that champions mutual respect, support, and team harmony.</p> </li> </ul> <p> </p> <p>Excited to be part of a ground-breaking journey in the tech world? If your answ