DevOps Engineer

Responsibilities Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms (Amazon EKS & Google Kubernetes Engine) Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness Develop and maintain CI/CD pipelines (Jenkins, Argo CD, GitHub Actions) to enable automated testing and deployments Deploy and support cloud-native data services such as Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, and BigQuery Leverage AI-powered tooling (e.g., GitHub Copilot, generative-AI chat/ops assistants, and AIOps platforms) to accelerate script generation, configuration validation, and incident troubleshooting Create automation scripts and internal tooling in Python to streamline DevOps workflows Assist in establishing monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, or Datadog; incorporate AI-driven anomaly detection where applicable Participate in on‑call rotations, incident triage, and post‑incident reviews; apply SRE best practice Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements and company standards Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams Qualifications 4–6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role Fundamental grasp of SRE principles—service reliability, incident response, and performance monitoring Familiarity with observability stacks (CloudWatch, Datadog, etc.) Proficiency with Python or another scripting language for automation Effective communication skills and a collaborative mindset Solid understanding of Terraform (or similar IaC tools) and Git-based workflows Hands‑on experience managing containerized workloads on Kubernetes (EKS, GKE, or self‑managed clusters) Working knowledge of CI/CD platforms such as Jenkins, Argo CD, and/or GitHub Actions Production experience with AWS and/or GCP data services (e.g., Kinesis, Pub/Sub, Dataflow, BigQuery) Demonstrated experience using AI‑powered copilots, chat assistants, or AIOps platforms to accelerate infrastructure work or incident resolution Experience with workflow orchestration tools (Apache Airflow, Cloud Composer) Knowledge of cost‑optimization techniques for cloud resources Familiarity with event‑driven architectures and message queues (Kafka, RabbitMQ) Exposure to big‑data frameworks (Spark, Flink) or modern data‑lake architectures Understanding of GitOps workflows and service mesh technologies such as Istio Benefits Benefits for the Best You - We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well‑being Base Pay - We attract and retain the best talent with competitive compensation that aligns with industry benchmarks and merit programs yearly for promotions and salary increases based on performance, time in role, and position to market Bonus - When you crush it, we like to celebrate! Bonuses are awarded annually in connection with company and individual performance Equity - We offer each employee a generous equity award in the form of RSUs, so they can directly feel the results and success of their hard work Vacation & Time Off - We know everyone’s needs are different so we offer flexible paid time off plans including an unlimited vacation option for many employees Hybrid Working Model - We offer flexible hybrid remote working models to promote equity, employee wellness, and work life balance #J-18808-Ljbffr