Vagas remotas de Azure para candidatos em Estados Unidos.

Design and evolve our Azure architecture while supporting our legacy AWS footprint

8+ years pre-sales engineering experience and solution selling.

Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle.

5+ years of relevant experience, and 3+ years of search expertise (Elasticsearch (ELK Stack), Lucene, Solr or similar)

5+ years of relevant experience, and 3+ years of search expertise (Elasticsearch (ELK Stack), Lucene, Solr or similar)

Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB

Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.

Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.

Be the frontline agent: Triage, investigate, manage, and annihilate complex customer issues involving Chainguard Images.

Serves packages to customers at scale

Serves packages to customers at scale

Serves packages to customers at scale

Actively participate in the design, development, test, and operation of highly reliable services and software to model network entities and relationships that compose Equinix’s global network

5+ years of hands-on experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years in a senior or lead capacity

Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.

Responsible to design, implement, and maintain high-availability, high throughput, data and compute intensive, critical database systems running PostgreSQL which supports a growing 24x7 SaaS platform.

Support production systems on platforms such as ESXi, Azure, AWS, and GCP

Provision complete infrastructure stacks for new product launches. Recent examples include full EKS buildouts (Karpenter, Istio, Crossplane), PostgreSQL/Redis data stores with IAM authentication, CloudFront distributions

Automate the build, test, deployment, and infrastructure provisioning pipelines using Azure DevOps, Bicep/ARM, or Terraform.

Hybrid Work Options

AWS Certified DevOps Engineer