DevOps Engineer

Company Details

Teragonia, a leader in tech-enabled value creation solutions, is on a mission to create an ecosystem of connected data and actionable intelligence that solves strategic business challenges with purposeful innovation that is secure, quick, and scalable. The company translates value creation strategies into analytics and AI assets that operationalize business insights, leading to higher multiples of invested capital for company founders, investors, and private equity firms

.Teragonia's Decision Intelligence Solution contains three pillars including Business Operations Solutions, the Astradis co-developable analytics and AI platform, and Customer Success for analytics operationalization throughout an enterprise. Together, they empower Teragonia’s clients with data-driven business intelligence recommendations that drive decision making through a robust AI-driven technology

.Teragonia solutions are custom created by its team of technologists, data scientists, and business experts with first-hand private equity experience as investors, management teams, and M&A advisors

.Job Roles & Responsibiliti

es
As a Senior DevOps Engineer at Teragonia, you will design, implement, and manage scalable, reliable, and high-performing infrastructure for our analytics and AI platforms. You will collaborate with engineering teams to optimize workflows, automate deployment processes, monitor system performance, and ensure the seamless operation of enterprise-grade systems. Your contributions will directly impact the robustness, efficiency, and scalability of Teragonia’s technology solutio

ns.About the r

oleWe are seeking an experienced Senior DevOps Engineer to join our team. You will manage Kubernetes environments, automate infrastructure tasks, collaborate with backend developers, and ensure system reliability and scalability. This role demands proactive problem-solving, a deep understanding of cloud infrastructure and DevOps best practices, and a passion for optimizing engineering workflo

ws.Ideal candidate prof

ileKey responsibilit

• iesManage Kubernetes clusters to ensure high availability, scalability, and optimal performan
• ce.Automate infrastructure provisioning, deployment, and monitoring process
• es.Collaborate with backend developers to design and implement robust system architectur
• es.Optimize operational workflows to increase system reliability and reduce downti
• me.Monitor system performance metrics to proactively address issues and escalate to relevant tea
• ms.Develop scripts and tools for efficient system maintenance, troubleshooting, and automati
• on.Participate in architecture reviews and recommend improvements for infrastructure and DevOps practic
• es.Mentor junior engineers and promote DevOps best practices across tea

ms.Qualificati

• onsBachelor’s or Master’s degree in Computer Science, Engineering, or a related fie
• ld.Proven experience with Kubernetes, Docker, and container orchestration in production environmen
• ts.Strong experience with infrastructure automation tools such as Terraform, Ansible, or simil
• ar.Proficiency in scripting languages (Python, Bash, or Go) for automation and system manageme
• nt.Hands-on experience with CI/CD pipelines and monitoring tools (Jenkins, GitLab CI, Prometheus, Grafan
• a).Solid understanding of cloud platforms (AWS, GCP, Azure) and cloud-native architectur
• es.Excellent problem-solving and troubleshooting skills in complex system environmen
• ts.Ability to work in a fast-paced, dynamic environment and drive immediate impa

ct.What we of

• ferOpportunity to work on cutting-edge AI and analytics platforms for enterprise clien
• ts.Collaborative and innovative work environment with growth and learning opportuniti
• es.Competitive salary and benefits packa
• ge.Exposure to high-impact projects in private equity, M&A, and enterprise analyti
• cs.Be part of a mission-driven company delivering intelligent, data-driven solutions at sca