Site Reliability Engineer; SRE

Paysera is proudly Lithuania’s 1st e-money institution, operating from the largest fintech hub in the EU. With more than a million users worldwide, we simplify payments across e-commerce, retail stores, and personal finance. With 800+ colleagues around the globe, we combine fresh energy with the stability of an international company. If you’re curious, driven, and ready to grow with us in an AI-focused environment, Paysera is the place for you.

As a Site Reliability Engineer, you'll ensure the IT infrastructure's availability, performance, and security. Collaborating with development teams and system administrators, you'll guide the design and deployment of applications to meet Paysera's reliability standards. The role demands passion for scalable systems, expertise in system architecture, and a commitment to enhancing uptime and service quality. Additionally, we are on the lookout for individuals who are committed to self‑improvement and are not afraid to employ innovative AI tools in their daily work to drive progress.

• Define and support Service Level Indicators (SLIs) and Objectives (SLOs) for existing critical components within our mixed on‑premises environment;
• Make informed decisions on database cluster optimization, and web services configuration, and introduce improvements to these areas;
• Enhance the instrumentation and efficiency of daily operations tasks performed by the operations teams;
• Drive improvements in change and release processes, transitioning from unregulated CI/CD practices to a more structured change management framework that fosters reliable CI/CD processes;
• Operate in an incident‑prone environment, working proactively to reduce the frequency and impact of critical incidents. This includes taking part in incident management, contributing to the development of a common operations knowledge base, maintenance operation procedures (MOPs), runbooks, and enhancing monitoring and observability;
• Collaborate closely with operations and development teams to enhance the reliability of our infrastructure and software, through education and shared best practices;
• Document and categorize knowledge effectively, and train team members to ensure continuity and efficiency of operations;
• Communicate effectively with team members and stakeholders, ensuring clear and concise information exchange;
• Be ready for the on‑call rotations;
• Expect to perform routine daily tasks using ChatGPT or a similar tool to enhance efficiency and productivity.

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field;
• A minimum of 3 years of experience in Site Reliability Engineering, System Administration, Incident management, or a closely related field;
• Demonstrated experience in designing and managing the reliability of large‑scale systems;
• Familiarity with modern infrastructure technologies and deployment processes;
• Strong proficiency in monitoring tools and methodologies: ELK, Grafana, New Relic, Datadog, and Zabbix;
• Strong experience with containerization technologies such as Docker and Kubernetes;
• Strong problem‑solving skills with a proactive approach to issue resolution;
• Ability to work efficiently under pressure and manage multiple priorities;
• Excellent communication skills, with the ability to explain complex technical issues to non‑technical stakeholders;
• A collaborative team player with a strong desire to mentor and share knowledge;
• Fluency in English;
• Proven familiarity and experience with AI tools like ChatGPT and other technologies, demonstrating a capability to seamlessly integrate these into daily tasks.

• Proficiency in PHP, Symfony, Doctrine ORM, and familiarity with drivers for Redis, Rabbit
  
  MQ, ELK, and Sentry;
• Proficiency with High‑availability enablement solutions such as Keepalived, Heartbeat, Corosync, Pacemaker, etc;
• Understanding and experience with static and dynamic routing protocols and all layers of the OSI model;
• Experience with Nginx and FPM and managing Maria
  
  DB clusters in an environment with Max Scale as a proxy solution;
• Solid understanding of Redis with Sentinel clusters, Rabbit
  
  MQ clusters, Elasticsearch clusters,…