Senior DevOps Engineer

🕒 June 12

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Kyriba

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

Kyriba is a leading provider of financial technology solutions that offer secure, AI-powered data integration and liquidity management services for enterprises. The platform seamlessly connects ERPs, banks, and apps to provide real-time cash visibility, enhance operational efficiency, and support all aspects of enterprise liquidity management. Kyriba's offerings include real-time treasury management, risk management, payments, and connectivity solutions. The solutions are tailored for finance professionals and address complex liquidity challenges through advanced data automation and integration capabilities, supporting industries such as finance, technology, retail, manufacturing, and insurance. Kyriba's mission is to improve financial health and resilience by optimizing liquidity performance and strategic financial decision-making for organizations of various sizes.

📋 Description

• Contribute to infrastructure automation across the AWS platform using Terraform Enterprise, Ansible, Harness, Kubernetes (including operators, CRDs, and cluster lifecycle management), and GitOps practices • Support and evolve continuous delivery pipelines, ensuring reliable and repeatable deployments across environments (PRE, SBX, PRD) • Build and maintain self-service capabilities so that developers and engineering teams can autonomously claim and consume infrastructure resources (storage, compute, databases, messaging) through Kubernetes-native APIs and GitOps workflows, without manual intervention • Leverage AIOps practices to improve platform reliability: intelligent alerting, anomaly detection, AI-assisted incident triage, and automated remediation • Write, maintain, and improve production runbooks to ensure operational procedures are automated, documented, and accessible to the team • Provide L2 support on automation systems and pipelines already in place, troubleshooting issues across the platform ecosystem • Participate in on-call rotations and contribute to incident response and post-mortem processes • Collaborate actively with Production Ops, DBA, and application engineering teams on platform improvements and migrations • Contribute to FinOps by identifying and implementing AWS cost optimization opportunities • Document architecture decisions, operational procedures, and contribute to team knowledge sharing • Own, automate and improve Kyriba's storage platform (NetApp, S3, EBS), ensuring reliability, performance, and DR readiness • Design and implement storage architectures on AWS with high availability and fault tolerance • Provide L2 support on storage incidents, leading investigations on performance degradation, availability issues, and data integrity events

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or related field • 5+ years of hands-on DevOps experience building and operating a SaaS platform on AWS • 3+ years of experience with Infrastructure as Code (Terraform) in an AWS environment • 2+ years of experience as a platform engineer, contributing to automation and self-service ecosystems • Solid Kubernetes knowledge. • Solid knowledge of NetApp ONTAP (administration, provisioning, troubleshooting) • Experience with AWS storage services (S3, EBS, EFS, FSx) • Experience integrating storage with Kubernetes workloads (PV, PVC, StorageClass, CSI drivers) • Experience providing L2 support on automation systems and/or storage infrastructure • Exposure to AIOps practices: intelligent alerting, anomaly detection, AI-assisted automation (Datadog AI, GitHub Copilot, or equivalent) • Familiarity with CI/CD practices and GitOps workflows (ArgoCD, Kargo, GitHub Actions) • Experience with monitoring and observability tools (Datadog, Splunk, or equivalent) • Strong scripting or development skills in Python, Bash, or Go

🏖️ Benefits

• 15% yearly bonus and annual salary increase based on individual performance • MacBook Pro or equivalent equipment • Access to AI productivity tools (ChatGPT, Copilot) • Professional development: Coursera, Pluralsight, LinkedIn Learning, conference attendance (e.g., KubeCon) • International collaboration across DevOps, SRE, and Engineering teams • Medical, sports, and life insurance • Equity Incentive Plan participation