> Markdown version of [/jobs/ext/3735326-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/3735326-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - **Company:** THE PYTHIAN CORPORATION - **Location:** United States (Remote available) - **Salary:** $80,000.0 - $90,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Configuration Management, Continuous Integration, Data Structures, Elasticsearch, Failover, Apache Hadoop, Python (Programming Language), Linux System Administration, Octopus Deploy, Performance Tuning, Redis, Ansible, Prometheus, Cloudera, Scripting, Grafana, Apache Spark, Cloudformation, Kubernetes, Apache Kafka, Data Management, Puppet, OpenSearch, Confluent - **Published:** October 14, 2026 - **Apply:** https://www.builtincolorado.com/job/site-reliability-engineer/11641840?handler=ApplyRedirect ## About the Role * Strong Linux administration/troubleshooting; Kubernetes fundamentals (workloads, networking, storage, upgrades, security, HA); one major cloud (GCP/AWS/Azure). * IaC + config management experience; CI/CD/GitOps familiarity; scripting with Bash and/or Python. * Consulting mindset: clear English (written/spoken), estimation, stakeholder communication, documentation quality. Data Platforms (depth in one; ramp on others) * Elasticsearch/OpenSearch (ops, tuning, ILM/snapshots, security/EFK), or * Redis (OSS/managed operations; data structures, eviction policies, RDB/AOF persistence). * Kafka-Hadoop-Spark (production exposure; Confluent/MSK/Strimzi; Dataproc/EMR/CDP familiarity), or Nice to have * Security/IAM basics, budget/capacity awareness; Prometheus/Grafana experience; diagramming/runbook excellence. ## Description * Improve reliability, availability, and visibility for customer platforms; plan/execute documented maintenance; drive remediation/automation. * Provide remote support for Linux-based infrastructure across data center and cloud environments. * Manage the full OS lifecycle, including installation, deployment (Kickstart, VMs, containers, bare metal), patching, and upgrades. * Design and implement automation for infrastructure deployment, configuration, and operations using scripting (Bash, Pythian) and tools (Ansible). * Implement and evolve SLIs/SLOs, error budgets, capacity plans, and reliability reviews; harden observability (metrics/logs/traces) and keep alerts actionable. * Build and extend infrastructure as code (Terraform/CloudFormation), configuration management (Ansible/Puppet/Chef/Salt), and GitOps (Helm, Argo CD/Flux) pipelines. * Collaborate with support/app/data teams; reduce toil via scripting (Bash/Python) and small tools. * Data Platforms - pick one at depth, ramp on others: * + Elasticsearch/OpenSearch: cluster ops, shard/replica strategy, ILM/snapshots, performance/security, EFK integration. + Redis: cluster/Sentinel ops, failover drills, parameter tuning (maxmemory, timeouts), cache observability (hit ratio/latency/evictions), persistence/DR (RDB/AOF, snapshots). + Kafka-Hadoop-Spark: topic/ACL management, retention/partitioning, connector basics, rolling upgrades; pipeline observability (lag/throughput/error rates); routine automation. * Facilitate technical discussions with customers; advise on platform roadmaps and architecture trade-offs. * Support and cross-train teammates; uphold documentation quality and internal knowledge sharing. * Participate in on-call, escalations, and change reviews; proactively reduce toil via scripting/automation.