Sr Software Engineer (Site Reliability) Austin or Dallas, TX-Onsite

About the role

As a Senior Software Engineer-Site Reliability on the Digital Fulfillment team, you'll deliver complex code solutions. You'll support the build and deployment pipeline and when necessary, diagnose / solve production support or on-call issues. You'll contribute to overall system design, architecture, security, scalability, reliability, application performance and provide end-to-end support.

Location: Austin (preferred), open to Dallas, TX (On-Site)

Responsibilities

• Develops and maintains tooling used for environment monitoring and task automation
• Engages in and improves whole lifecycle of services, including inception and design, deployment, operation, and refinement
• Analyzes and establishes efficient configurations for software and servers, DB connections / indexes, drivers, etc.
• Collaborates with development teams to design service architectures, software platforms and frameworks, capacity planning, release plans and launch reviews
• Monitors internal and vendor service level objectives (SLOs) and agreements (SLAs); identifies / resolves SLO / SLA gaps
• Serves as technical subject matter expert (SME) for cross-functional engineering Teams; assists with / troubleshoots systems-related issues and maintenance

Requirements

• 5+ years experience designing, analyzing, developing, or troubleshooting distributed systems
• 3+ years of SRE experience managing Google Kubernetes Engine (preferred), K8s, or AWS environments
• 2+ years of Java (Spring) programming experience preferred
• 3+ years of using Terraform to maintain cloud infrastructure
• 3+ years of CI Pipeline experience with either Gitlab Pipelines, or GitHub Actions
• Experience with tools such as Gitlab, JIRA, Slack, Confluence and Intellij is preferred
• Experience with microservices architecture patterns
• Experience working with PostgreSQL, Kubernetes, Docker, Linux, GCP, Terraform, and APIs using REST and GraphQL
• Experience working with monitoring and visualization tools such as Datadog, Grafana, or New Relic
• Strong proficiency with scripting languages such as Python, Ruby, Groovy, Bash
• Proven track record of researching, understanding, and effectively applying Scalability and High Availability principles

Skills

• Advanced knowledge in system and data architecture, data modeling, and design and capable of architecting and designing at the application or service level using well-accepted design patterns
• Able to review platform designs for strength of engineering solutions, namely performance, sustainability, and iterative development potential
• Comprehensive knowledge of Computer Science fundamentals: data structures, algorithms, design patterns, system architecture and design patterns
• Advanced understanding of development methodologies and processes
• High degree of personal accountability to self and team for continued growth
• Adjust - Leverages Agile metrics to improve team performance and deliverables. Evaluates and adjusts resources, self, and team as necessary
• Collaborate - Ability to work on tasks which span multiple domains, requiring cross-team collaboration, which have a high impact on your project
• Agility - Embraces risk, change, and helps team manage ambiguity within the team's scope of work. Able to drive progress without having a complete picture and can articulate potential tradeoffs and prioritize when faced with ambiguity
• Connect - Delivers clear, concise, effective messages across different levels; can tailor communication based on intended audience
• Growth Mindset - Fosters a culture of mentoring and coaching across multiple technical teams and other stakeholders
• Relate - Fosters a culture within their team where