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Lead the architecture and engineering of Alpaca's financial infrastructure systems for the Middle East, ensuring scalability, regulatory compliance, and high performance while setting technical standards and mentoring engineers.
Senior DevOps Engineer designs and operates global cloud infrastructure for a fintech brokerage platform, using GCP, Terraform, Kubernetes, and observability tools to enable safe, rapid software delivery.
Build and scale Alpaca’s market-data APIs and infrastructure, serving stocks, options, crypto, and FX to millions of users via Go, Kubernetes, and cloud services.
A principal-level engineer on Nscale's AI Infrastructure Operations team who defines how multi-thousand-GPU AI clusters are validated and tuned for production: building Python control-plane and burn-in tooling, running real distributed training/inference workloads, and debugging performance across GPUs, InfiniBand/RoCE fabrics, storage, and SLURM/Kubernetes schedulers.
Network Engineer on Nubank's Connectivity Engineering team in Mexico City, implementing and troubleshooting data center, WAN, and cloud-edge networks (BGP/OSPF, VXLAN/EVPN, Palo Alto/Fortinet firewalls), owning production support with weekly on-call, and contributing to automation and observability (Prometheus/Grafana). Hybrid role, on-site 2-3 times per week.
Nextiva is hiring a Staff DevOps Engineer (remote across Mexico, with onsite expectations near its Guadalajara office) to lead platform engineering: owning a multi-cluster Kubernetes platform, GitOps deployments, an internal developer platform, service mesh/ingress, and GPU/ML workload infrastructure on AWS and GCP.
Senior DevOps Engineer at Nextiva owns and modernizes CI/CD pipelines and developer tooling for a microservices platform — building pipelines as code, progressive delivery (canary/blue-green), supply-chain security, and AI-assisted workflow automation. Core tech: Jenkins/GitHub Actions/GitLab CI, Docker, Kubernetes, Terraform, Bash/Python/Go.
Designs, implements, and maintains enterprise storage systems (SAN, NAS, object storage) for a global fintech platform, ensuring scalability, reliability, and security while collaborating with platform teams.
Build and operate DoorDash’s in-house Apache Spark platform, optimizing runtime, multi-tenant scheduling on Kubernetes, cluster lifecycle automation, and observability tooling at company-wide scale.
Senior SRE building and operating CI/CD pipelines, Kubernetes clusters, and monitoring for AI-powered maritime defense systems using Terraform, Docker, and cloud platforms.
Senior full-stack developer at CI&T working on a client project in Brazil, building features end to end: Python backends (FastAPI/Django) with REST APIs and React frontends (JavaScript/TypeScript). Involves cloud integration (Azure/AWS/GCP), Docker, CI/CD, and observability with Grafana/Prometheus; office presence in Campinas is mandatory for residents of that metro area.
Senior engineer building the distributed runtime infrastructure behind Moveworks' AI agents at ServiceNow: an agent orchestration engine, lease-based session management, and event-driven pipelines serving millions of enterprise users. Core stack: Python/Go asyncio, DynamoDB, Redis, Kafka/SQS, gRPC, and OpenTelemetry.
DevOps Engineer at a consulting firm who designs and maintains CI/CD pipelines, cloud infrastructure (AWS/Azure/GCP), Infrastructure as Code (Terraform), and Docker/Kubernetes deployments, while improving monitoring, security, and automation across varied client projects in distributed teams.
On-site infrastructure engineer at GVEC (a South-Central Texas electric cooperative) who designs, builds, and maintains the server, virtualization (VMware), and storage systems behind two data centers, with heavy emphasis on automation (PowerShell/Ansible) instead of manual work. Includes disaster recovery, monitoring (CheckMK), helpdesk L2 support, off-hours maintenance, and an on-call rotation.
Builds and maintains a resilient, low-latency mesh network that connects autonomous military systems across contested environments using Rust, gRPC, and custom routing protocols.
Remote senior machine learning engineer role (placed via Look4IT for a client) improving a globally deployed recommender system. Day to day: driving MLOps practices, building GitLab CI/CD pipelines, managing models with MLflow, deploying on AWS SageMaker, and building scalable Python ML/data pipelines while mentoring other engineers.
Set and enforce reliability architecture for Anduril’s internal business and manufacturing systems, designing observability, deployment safety, and incident response to scale production stability.
Set the reliability architecture for Anduril’s internal business systems, designing observability, deployment safety, and incident management to ensure scalable, AI-powered infrastructure for defense tech operations.
Senior DevOps Engineer responsible for designing, operating, and scaling cloud infrastructure (AWS) for R&D, including Kubernetes, MLOps, security, and cost optimization. Core technologies: AWS, Kubernetes, Helm, ArgoCD, Terraform, Prometheus/Grafana/Loki, CloudWatch.
Build and maintain secure CI/CD pipelines and infrastructure-as-code to automate builds, tests, and deployments for defense tech, using tools like GitLab CI, Terraform, Kubernetes, and Python.
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