Senior DevOps Engineer
Leads the design, automation, and reliability of large-scale, multi-cloud infrastructure supporting search, NoSQL, and AI-driven workloads. Requires 7+ years in infrastructure, DevOps, or SRE, plus deep Kubernetes, Terraform, Linux, and distributed data-systems expertise.
About the job
Responsibilities
- Architect, scale, and maintain search and NoSQL technologies, including Solr, HBase, and Redis.
- Manage multi-cloud infrastructure across AWS and Google Cloud using Terraform.
- Deploy and operate stateful data services on Kubernetes, including stateful sets, persistent storage, and resource isolation.
- Lead infrastructure integration for vector search databases and high-performance computing supporting AI-driven architectures.
- Implement monitoring and alerting with Datadog and Prometheus.
- Automate operational tasks and maintain tooling in Python, Go, or Bash.
- Manage cloud networking, including VPCs, load balancing, service meshes, and caching layers.
- Debug complex distributed-systems incidents, conduct root-cause analysis, and participate in an on-call rotation.
Requirements
- 7+ years of experience in infrastructure, DevOps, or SRE, including substantial experience managing high-scale distributed data systems.
- Direct experience with Solr, HBase, and Redis, or comparable technologies such as Elasticsearch, OpenSearch, Cassandra, or Bigtable.
- Expert knowledge of Linux performance tuning for data-intensive applications, including I/O scheduling, memory management, and JVM tuning.
- Experience managing large-scale infrastructure with Terraform or OpenTofu.
- Deep experience running production-grade stateful workloads on Kubernetes.
- Strong proficiency in Python or Go, with the ability to build custom tools and operators.
- Practical experience using LLM tools such as GitHub Copilot, ChatGPT, or Claude for engineering productivity.
- Ability to learn new technologies independently and communicate complex technical problems clearly in English.
- Strong technical, organizational, interpersonal, written, and verbal communication skills.
Nice-to-haves
- Experience transitioning between comparable search or NoSQL technologies.
- Experience integrating vector search databases and high-performance computing into AI architectures.
- Experience with multi-cloud environments and service meshes.
Skills
Solr, Hbase, Redis, Terraform, AWS, GCP, Kubernetes, Datadog, Prometheus, Python, Go, Bash, Linux, Jvm, Opentofu
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