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Senior DevOps Engineer/Site Reliability Engineer

Seeking a Senior DevOps/Site Reliability Engineer to build, operate, and scale reliable cloud-native infrastructure and distributed data platforms. This role requires expertise in Kubernetes, cloud infrastructure, observability, automation, CI/CD, and incident management.

About the job

Key Responsibilities

  • Administer and maintain Kubernetes clusters and containerized workloads.
  • Manage cloud infrastructure across OCI, AWS, GCP, or Azure environments.
  • Develop and maintain CI/CD pipelines for reliable application deployments.
  • Implement and manage Infrastructure as Code (IaC) using Terraform and Helm.
  • Build automation tooling and operational workflows using Python, Go, or Bash.
  • Drive observability initiatives including monitoring, logging, tracing, and alerting improvements.
  • Monitor, troubleshoot, and resolve production incidents while participating in on-call rotations.
  • Support and optimize distributed data platforms including Kafka, Elasticsearch, Spark, Redis, and MongoDB.
  • Improve platform reliability, scalability, and operational efficiency using SRE best practices.
  • Collaborate with cross-functional teams across multiple time zones.
  • Perform Linux system administration and networking troubleshooting.
  • Contribute to incident response processes, postmortems, and reliability improvements.
  • Support GitOps and deployment workflows using tools such as ArgoCD and GitHub Actions.
  • Evaluate and implement AI-assisted operational tooling for auto-remediation, alert correlation, and operational intelligence.

Requirements

  • 5+ years of experience in DevOps, SRE, or Platform Engineering roles.
  • Strong expertise with Kubernetes, Docker, and container orchestration.
  • Hands-on experience managing production cloud environments.
  • Strong Infrastructure as Code experience with Terraform and Helm.
  • Experience with CI/CD tools and deployment automation.
  • Advanced troubleshooting skills in Linux systems, networking, and distributed systems.
  • Experience with observability platforms including Prometheus, Grafana, Loki, Alertmanager, and Elastic Stack.
  • Strong programming and scripting skills in Python, Bash, or Go.
  • Experience supporting high-availability production systems and on-call operations.
  • Knowledge of incident management and reliability engineering practices.
  • Familiarity with data platform technologies such as Kafka, Spark, Elasticsearch, Redis, or MongoDB.
  • Understanding of AI-driven operational tooling and automated remediation concepts.
  • Excellent communication, collaboration, and problem-solving skills.
  • Resides on the East Coast

Benefits

We pride ourselves in recognizing our employees. Here are some examples of our benefits program:

  • Pre-IPO Stock Options
  • Medical, Dental & Vision care
  • 401(k)
  • Employee Assistance Program
  • Employee Discount Program
  • Life Insurance
  • Paid time off
  • Referral Program
  • Rewards and Recognition Program

The base compensation range for this role is USD 165,000-215,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

Skills

Kubernetes, Docker, Terraform, Helm, CI/CD, Python, Go, Bash, Prometheus, Grafana, Kafka, Elasticsearch, Spark, Redis, MongoDB

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