Site Reliability Engineer

About the Position

We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our team. In this critical role, you will collaborate closely with software developers and operations teams to ensure high reliability, scalability, and efficiency of our systems, with a strong focus on meeting and exceeding customer expectations. Your expertise will be crucial in deploying, maintaining, and automating our infrastructure and application environments to ensure seamless user experiences.

Your proactive involvement will be key to enhancing system reliability, optimizing resource utilization, and ensuring continuous improvement in our operational practices. Your responsibilities will include defining and tracking Service Level Objectives (SLOs), managing error budgets, and reducing toil through automation. You will play a pivotal role in driving the success of technology initiatives, maximizing their impact across the organization, and ensuring that solutions consistently meet the high standards our customers expect.

Responsibilities

• Collaborate with development, security, quality, and operation teams to implement SRE practices and ensure system reliability
• Define and support the required level of reliability, availability, and performance for services and applications
• Design and deliver Cloud-based solutions tailored to client needs
• Troubleshoot, mitigate, and support fixing of the infrastructure and application issues in a timely manner
• Implement a monitoring system for the infrastructure and application reliability
• Communicate technical concepts clearly to both engineering teams and management stakeholders

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Proven experience in any cloud (AWS/GCP/Azure)
• Experience with implementing SRE practices such as SLO/SLI, Error budgets, Postmortems, Reducing Toil, capacity planning, and Incident Management
• Proficiency in Python or other scripting/programming languages
• Strong background in monitoring tools
• Proficient in CI/CD tools, infrastructure as code, and configuration management
• Solid knowledge of container orchestration technologies (Kubernetes, Docker)

Nice to Have

• Expertise in deployment and management of LLMs including technologies like RAG
• Certification in Kubernetes, AWS/GCP/Azure, or similar technologies
• Proven experience in DevOps
• Knowledge of managing and optimizing AI/ML models in production environments including basic deployment, monitoring, and maintenance

We Offer

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga, or Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan, and more.

About the Company

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