• Own reliability for Volcano end-to-end: Define and drive SLOs, error budgets, and incident response practices for all Volcano services • Architect the platform's infrastructure: Design and build the multi-region Kubernetes infrastructure • Build the GitOps and CI/CD backbone: Establish deployment automation, canary pipelines, and preview environment provisioning • Scale managed data services: Design, operate, and harden multi-tenant PostgreSQL clusters • Drive observability from day one: Instrument every Volcano service with meaningful SLIs • Lead cross-functional reliability work: Collaborate with the OCTO team, product engineering, and security to bake reliability into Volcano's architecture • Set SRE culture and standards: Mentor engineers on reliability principles; lead postmortems • Evaluate and adopt emerging technologies: Given Volcano's greenfield nature, evaluate edge runtimes, serverless compute, vector databases, and AI-native infrastructure components.

• As a Senior DevOps Engineer at Incode, you’ll be a senior individual contributor on the platform team responsible for operating, scaling, and securing the production systems behind Incode’s identity infrastructure. • You’ll own outcomes - not tickets - across our Kubernetes and AWS environments, partnering closely with software engineers, security, and leadership to make our platform faster, safer, and quieter. • You won’t just keep the lights on; you’ll improve reliability, reduce operational friction through automation, and lead durable fixes when things break.

• Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. • Influence joint account strategy and technical direction for high-priority opportunities. • Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. • Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. • Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. • Guide customers from early ideation through architecture design, prototyping, and production deployment. • Act as a technical decision-maker and escalation point, de-risking complex implementations. • Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services. • Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption. • Establish best practices for scalable, secure, and production-ready GenAI systems. • Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos). • Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs.

Role Description We are looking for an experienced DevOps Engineer to support and maintain a custom-developed application running in Microsoft Azure. The role focuses on CI/CD automation, Kubernetes administration, production support, incident management, monitoring, troubleshooting, and implementation of DevSecOps best practices. You will be responsible for ensuring the reliability, security, and smooth deployment of applications across pre-production and production environments. - Contract: B2B - Start: June 2026 - Duration: Until December 2026 (extension possible) - Location: Fully Remote - Workload: - First 2 months: approximately 50% allocation (10 MDs/month) - Following months: approximately 25% allocation (5 MDs/month) - Language: English Responsibilities - Manage and support cloud-based applications hosted in Microsoft Azure - Design, maintain, and optimize CI/CD pipelines using Jenkins and GitHub Actions - Perform deployments across development, pre-production, and production environments - Administer and support Kubernetes (AKS) clusters and containerized workloads - Implement and maintain Infrastructure as Code solutions using Terraform and Ansible - Monitor application and infrastructure performance, troubleshoot incidents, and ensure service reliability - Collaborate with development teams to improve deployment processes and operational efficiency - Implement security best practices and support DevSecOps initiatives - Manage access control and permissions using IAM and RBAC principles - Support patch management, vulnerability remediation, and platform maintenance - Work with logging, monitoring, and observability tools to proactively identify and resolve issues - Document operational procedures, deployment processes, and technical solutions Qualifications - Strong commercial experience as a DevOps Engineer in cloud-native environments - Advanced knowledge of Microsoft Azure - Hands-on experience with Kubernetes (AKS) administration and troubleshooting - Strong experience with Docker and containerized applications - Experience with Jenkins and GitHub Actions for CI/CD automation - Experience with Git and GitHub version control - Knowledge of Infrastructure as Code tools such as Terraform and Ansible - Experience with Linux administration and Shell scripting - Experience with monitoring and logging solutions such as Splunk and Azure Monitor - Understanding of DevSecOps principles and security best practices - Experience with IAM and RBAC access management models - Strong troubleshooting, incident management, and production support experience - Excellent communication skills in English Nice to Have - Experience with ArgoCD - Experience with PostgreSQL administration or support - Experience with Prisma Cloud, Snyk, and SonarQube - Experience with ServiceNow and JIRA - Experience working in enterprise-scale cloud environments