Staff Software Engineer – Cloud Platform, Kafka

🕒 Maio 17

🏄 California – Remoto

🏄 California – Remote

💵 $136.000 - $265.700 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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Calix

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2000

📡 Telecomunicações

☁️ SaaS

🏢 Corporativo

💰 $50.000.000 Venture Round em 2009-08

Telecommunications • SaaS • Enterprise

A Calix é um provedor de soluções abrangentes que foca em capacitar provedores de serviços de banda larga (BSPs) para simplificar, inovar e expandir seus negócios. Através de sua avançada plataforma de banda larga, a Calix oferece tecnologias como 10G-PON, 5G, Wi-Fi 7 e mais para melhorar as operações de rede, reduzir o tempo de inatividade e aprimorar a experiência do assinante. A empresa fornece serviços gerenciados, como SmartLife e SmartHome, que ajudam os assinantes a operar, proteger e aprimorar seus estilos de vida conectados. A Calix atende a diversos tipos de provedores, incluindo operadoras de telecomunicações, operadoras de cabo e concessionárias municipais, ajudando-os a fornecer conectividade essencial de banda larga e transformar o acesso da comunidade a serviços digitais. Com foco em tecnologia de nuvem, análises e orientações de transformação, a Calix capacita os provedores de serviços a prosperarem na era digital.

Descrição

• Design, provision, and manage Apache Kafka clusters (self-managed on GCP/AWS or via Confluent Platform / MSK). • Configure and tune brokers, ZooKeeper/KRaft, topics, partitions, replication factors, and retention policies for high throughput and low latency. • Perform cluster upgrades, rolling restarts, and broker replacements with zero downtime. • Implement and manage Kafka Connect pipelines for data ingestion and egress across heterogeneous systems. • Administer Kafka Streams and ksqlDB deployments for real-time stream processing workloads. • Maintain Schema Registry and enforce schema governance standards across teams. • Define and track SLIs/SLOs for consumer lag, throughput, end-to-end latency, and broker health. • Design and implement cloud infrastructure using IaC – Terraform • Build automated deployment pipelines for Kafka configuration changes using GitOps workflows (ArgoCD, Flux). • Create self-service tooling and runbooks to reduce toil for development teams. • Automate topic provisioning, ACL management, and schema registration via APIs and CLI tooling. • Integrate tools like GitLab CI/CD, or Cloud Build for automated testing and deployment. • Ensure seamless integration of data pipelines with other GCP services like Big Query, Cloud Storage. • Monitor and Optimize performance, reliability, and cost of Kafka and streaming pipelines • Implement security best practices for GCP resources, including IAM policies, encryption, and network security. • Ensure Observability is an integral part of the infrastructure platforms and provides adequate visibility about their health, utilization, and cost. • Collaborate extensively with cross functional teams to understand their requirements; educate them through documentation/trainings and improve the adoption of the platforms/tools.

🎯 Requisitos

• 10+ years of overall experience in DevOps cloud engineering, or data engineering. • 5+ years of experience in Kafka at production scale. • Deep expertise in Kafka internals: replication protocol, log compaction, consumer group coordination, partition leadership, and KRaft mode • Proficiency with container orchestration (Kubernetes / Helm) and deploying Kafka via Strimzi, Confluent Operator, or equivalent • Strong understanding of networking (VPC, peering, private endpoints, DNS, load balancing) in cloud environments. • Hands-on experience with Kafka Connect, Schema Registry, and at least one stream processing framework (Kafka Streams, Flink, Spark Structured Streaming). • Proficiency in Google Cloud Platform (GCP) services, including Dataflow, Pub/Sub, Kafka, Dataproc, Big Query, and Cloud Storage. • Expertise in Infrastructure as Code (IaC) tools like Terraform or Cloud Deployment Manager. • Familiarity with data orchestration tools like Apache Airflow or Cloud Composer. • Experience with CI/CD tools like Jenkins, GitLab CI/CD, or Cloud Build. • Knowledge of containerization and orchestration tools like Docker and Kubernetes. • Strong scripting skills for automation (e.g., Bash, Python). • Experience with monitoring tools like Cloud Monitoring, Prometheus, and Grafana. • Familiarity with logging tools like Cloud Logging or ELK Stack. • Strong problem-solving and analytical skills. • Excellent communication and collaboration abilities. • Ability to work in a fast-paced, agile environment.

🏖️ Benefícios

• As a part of the total compensation package, this role may be eligible for a bonus.