Site Reliability Engineer

Pythian

. Improve reliability, availability, and visibility for customer platforms .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSenior💰 $80,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Linux Administration, Infrastructure as Code, and Cloud Platforms, with a strong focus on automation, reliability, and observability. Proficient in managing data platforms and facilitating technical discussions to enhance platform architecture and operations.

Highest-signal resume keywords

Linux AdministrationInfrastructure As CodeCloud Platform ExperienceKubernetes FundamentalsElasticsearch Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux AdministrationKubernetesInfrastructure As CodeBash ScriptingPython ScriptingCI/CDGitOpsElasticsearchKafkaHadoop

Soft Skills

Clear CommunicationDocumentation QualityStakeholder Communication

Tools & Technologies

GCPAWSAzureRedisOpenSearchGitOps PipelinesEFKDataprocEMRCDP

Industry Keywords

ObservabilitySLIsSLOsError BudgetsCapacity Plans

Tech Stack

Tools & technologies

AWSAzureCloudElasticSearchGoogle Cloud PlatformHadoopKafkaKubernetesLinuxPythonRedisSpark

About the role

Key responsibilities & impact

Improve reliability, availability, and visibility for customer platforms
Plan and execute documented maintenance
Drive remediation and automation
Provide remote support for Linux-based infrastructure across data center and cloud environments
Manage the full OS lifecycle, including installation, deployment, patching, and upgrades
Design and implement infrastructure deployment, configuration, and operations automation
Implement and evolve SLIs, SLOs, error budgets, capacity plans, and reliability reviews
Improve observability across metrics, logs, and traces and keep alerts actionable
Build infrastructure-as-code, configuration-management, and GitOps pipelines
Collaborate with support, application, and data teams to reduce toil
Operate Elasticsearch/OpenSearch clusters, Redis environments, or Kafka–Hadoop–Spark platforms
Facilitate technical discussions with customers and advise on platform roadmaps and architecture trade-offs
Support and cross-train teammates and maintain documentation and internal knowledge sharing
Participate in on-call, escalations, and change reviews
Proactively reduce toil through scripting and automation

Requirements

What you’ll need

Strong Linux administration and troubleshooting
Kubernetes fundamentals, including workloads, networking, storage, upgrades, security, and high availability
Experience with one major cloud: GCP, AWS, or Azure
Infrastructure as code and configuration management experience
CI/CD and GitOps familiarity
Bash and/or Python scripting
Clear written and spoken English
Estimation, stakeholder communication, and documentation quality
Depth in one data platform area and willingness to ramp on others within 60–90 days
Elasticsearch/OpenSearch operations, tuning, ILM/snapshots, security, and EFK, or Redis operations, data structures, eviction policies, and RDB/AOF persistence
Production exposure to Kafka–Hadoop–Spark; familiarity with Confluent/MSK/Strimzi and Dataproc/EMR/CDP
Ability to fulfill requirements necessary to obtain a background check

Benefits

Comp & perks

Competitive total rewards package
Blog during work hours
Day off to volunteer for your favorite charity
Flexible remote work from home with no daily travel requirement to an office
Substantial training allowance
Professional development days
Training and certification opportunities
Laptop with choice of OS
Annual budget to personalize your work environment
Annual wellness budget
Paid vacation days
Paid sick days