Seeking a dedicated DevOps Engineer to support mission-critical products for XBID, a pan-European platform for intraday electricity trading. Role involves technical operations, cloud migration, and automation.
Responsibilities
Full stack responsibility of M7 XBID and Capacity infrastructure and applications (automate, deploy, maintain, troubleshoot)
Monitor infrastructure and applications metrics via monitoring/observability systems (Prometheus, Grafana, OpenSearch, etc.)
Maintain and extend implementation of metrics-based monitoring systems
Deployment and support of internally developed applications as well as third party software within production and non-production environments
Contribute to the migration of selected test and non-production environments to the cloud
Requirements
University degree in Information Technology or a related field
Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. This role involves 60–75% coding with modern tools including AI-assisted development, cloud services, and automation frameworks.
Responsibilities
Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs.
Translate functional requirements into system designs and communicate component interactions.
Design and develop product components, refine code plans, and lead design reviews.
Contribute to project estimation and consider delivery costs.
Lead by example in creating, implementing, and maintaining extensible, reusable code.
Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
Responsibilities
Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability
Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions
Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Distributed Systems, or related field
Technical anchor for the Michelangelo Control Plane, orchestrating ML pipelines, training jobs, models, and deployments across Uber.
Compensation
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
Responsibilities
Own the architecture and technical roadmap of the Michelangelo control plane, including its API layer, Kubernetes-native resource model (CRDs and controllers), and state management on etcd and MySQL.
Design and scale the control plane's storage and reconciliation layers, solving consistency, throughput, and latency challenges as the number of managed resources and clusters grows.
Drive reliability, availability, and disaster recovery for the control plane, including multi-cluster and multi-region operation, safe upgrades, and well-defined SLOs.
Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
Build tooling, APIs, and frameworks that increase the velocity and quality of hundreds of internal engineering and ML teams.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
Nice to have: Experience building or operating ML platforms or workflow orchestration systems
Nice to have: Experience operating Kubernetes across multiple clusters or regions
Build and operate Kubernetes platforms that support Cloudflare’s global network, including design, security hardening, resource optimization, incident response, and open‑source contributions.
Looking for a Senior Infrastructure Engineer with deep distributed systems expertise to design, build, and operate the infrastructure that powers Kastle's AI agents in production at banks, lender and other financial institutions.
Responsibilities
Design and operate distributed systems that power AI agents in production, with an emphasis on consistency, fault tolerance, and horizontal scalability
Architect service-to-service communication, coordination, and state management for systems spanning multiple regions and availability zones
Own Kubernetes cluster architecture, scaling, and security hardening across environments
Build and maintain Terraform modules and GitOps pipelines so infrastructure changes are reviewed, versioned, and repeatable
Design for the reliability and auditability bar that regulated financial institutions require: replication, failover, backups, disaster recovery, and change logs
Washington D.C., District of Columbia, United States
Toronto, Canada
Compensation
Compensation may be adjusted depending on work location.
For San Francisco based hires: Estimated annual salary of $194,000 - $266,000
For Denver based hires: Estimated annual salary of $168,000 - $231,000
For New York City based hires: Estimated annual salary of $185,000 - $254,000
For Seattle based hires: Estimated annual salary of $185,000 - $254,000
For Washington D.C. based hires: Estimated annual salary of $185,000 - $254,000
For Toronto, Canada based hires: Estimated annual salary of $150,000 - $206,000
Responsibilities
Design scalable and resilient systems
Work with application teams to architect systems for Kubernetes
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