Vagas remotas de CI/CD para candidatos no Brasil.

Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.

Solid experience with AWS

Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.

Build and extend platforms to improve system reliability

Build and extend platforms to improve system reliability

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

4+ years experience in SRE, infrastructure, or platform engineering roles

(SOC2, ISO27001, PCI DSS). Experience with designing and developing AI based solutions. Ability to manage and collaborate across cross-functional teams. Proven ability to reduce operational toil through automation.

Define and lead infrastructure and reliability strategy across the platform

Design, build, and operate platform systems that help Block engineers ship software with more confidence and speed.

Design, build, and operate platform systems that help Block engineers ship software with more confidence and speed.

Leverage AI-assisted development tools (Cursor, Claude, GitHub Copilot) to accelerate delivery and code quality

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

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.

Flexible remote work environment

Kubernetes Ownership: Be the Kubernetes maintainer. Own cluster operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts, ongoing operations and maintenance

Colaborar com arquitetos e gerentes de produtos para definir requisitos técnicos, focando na viabilidade e escalabilidade da solução ponta a ponta.

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Operate and evolve our EKS-based Kubernetes platform, supporting service migrations, platform improvements, and reliability initiatives.

Develop, maintain, and optimize data processing systems and ETL pipelines using tools such as Azure Data Factory and Azure Databricks.

Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering.