Senior Software Engineer – Product Reliability Engineering

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. Design, develop, and deploy end-to-end automation for deployment pipelines, infrastructure provisioning, platform operations, and release orchestration .

Posted 10/7/2026full-timeAustin • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing end-to-end automation for deployment pipelines and infrastructure provisioning, with strong capabilities in Python, Go, and cloud-native architectures. Proficient in database management, performance optimization, and security compliance for high-volume transaction systems.

Highest-signal resume keywords

Python ProgrammingDatabase ManagementAWS or GCP ExperienceCI/CD Pipeline DevelopmentInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingBash ScriptingRelational Database DesignAutomation Framework DevelopmentPerformance TuningVulnerability RemediationConfiguration ManagementDistributed SystemsLogging and MonitoringCloud-Native Architecture

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

DockerKubernetesPrometheusGrafanaSplunkAnsibleLiquibaseCI/CD ToolsTelemetry PipelinesOpenSearch

Industry Keywords

AutomationOperational ExcellenceHigh AvailabilityScalabilitySecurity Compliance

Tech Stack

Tools & technologies

AnsibleAWSCloudDistributed SystemsDockerElasticSearchGoogle Cloud PlatformGrafanaJavaJavaScriptKubernetesLinuxPrometheusPythonSplunkTypeScriptGo

About the role

Key responsibilities & impact

Design, develop, and deploy end-to-end automation for deployment pipelines, infrastructure provisioning, platform operations, and release orchestration
Write production-grade Python, Go, or Bash to reduce toil and improve reliability and scalability
Design reusable frameworks for release scheduling, validation, rollback, reporting, and configuration management
Drive automation initiatives that improve engineering efficiency and operational excellence
Design, build, operate, and improve relational database platforms supporting critical payment systems and high-volume transaction processing
Contribute to architecture decisions and platform enhancements improving scalability, resiliency, and performance
Lead database upgrades, patching, backup and recovery, lifecycle operations, and modernization
Analyze and optimize database performance through index tuning, execution plan analysis, replication monitoring, and capacity management
Develop automation for database operations, configuration management, and schema deployments using Ansible, Liquibase, and CI/CD pipelines
Build monitoring, observability, and reporting solutions to identify reliability risks
Design and build GenAI-powered engineering solutions and integrate LLM capabilities into operational workflows
Evaluate AI, automation, and machine learning technologies that improve reliability and engineering velocity
Build dashboards, alerts, telemetry pipelines, and health indicators using Prometheus, Grafana, Splunk, or ELK
Analyze platform performance, reliability, utilization, and availability data
Lead troubleshooting, root cause analysis, corrective actions, self-healing, automated remediation, and auto-scaling efforts
Design highly available, scalable infrastructure for global payment systems
Ensure platforms meet security, compliance, governance, and resiliency requirements
Drive vulnerability remediation, configuration hardening, patch management, and security automation
Partner with software engineers, product managers, platform teams, and global PRE peers
Participate in architecture reviews, design discussions, code reviews, technical planning, on-call rotations, and incident response
Maintain technical documentation, runbooks, operational procedures, and engineering standards
Own initiatives from design through implementation, deployment, and operational support

Requirements

What you’ll need

Bachelor’s degree with 2+ years of relevant professional experience, OR an advanced degree with at least 2 years of relevant experience, OR 5+ years of relevant work experience
Hands-on software engineering or automation experience using Python, Java, Go, JavaScript/TypeScript, or a comparable language
Experience supporting Linux-based systems and troubleshooting distributed applications or infrastructure
Hands-on experience with logging or search platforms such as Splunk, ClickHouse, OpenSearch, or Elasticsearch
Hands-on experience with metrics and visualization technologies such as Prometheus, Thanos, Grafana, or Bosun
Experience developing backend services, APIs, command-line tools, integrations, or operational automation
Experience with AWS or GCP and cloud-native architecture and services
Experience with Docker, Kubernetes, or equivalent enterprise container platforms
Experience with infrastructure as code, configuration management, CI/CD pipelines, Git, automated testing, and deployment tooling
Understanding of telemetry pipelines, log collection and parsing, metrics collection, alerting, dashboards, data retention, access controls, and platform integrations
Understanding of distributed systems, scalability, high availability, disaster recovery, performance tuning, capacity planning, and reliability engineering
Experience in production incident troubleshooting, root cause analysis, problem management, and preventive remediation
Experience with vulnerability remediation, secure configuration, certificate management, patching, upgrades, and software lifecycle management
Ability to translate user and platform requirements into maintainable engineering solutions and clear technical documentation
Strong problem-solving, communication, and collaboration skills
Ability to work effectively across globally distributed teams
Willingness to travel 5-10% of the time

Benefits

Comp & perks

Medical
Dental
Vision
401(k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program