What You'll Do As a DevOps and Release Engineer, you'll lead the release management and deployment pipeline across our Salesforce, Boomi, and AWS environments, ensuring changes move safely and predictably from development through production. You'll partner with Salesforce developers, integration engineers, and cloud infrastructure teams to build guardrails that catch breaking changes before they reach customers. This role is critical to reducing production incidents caused by uncoordinated changes across interconnected systems. This is a remote role reporting to the Senior Manager of Business Technology. What Your Responsibilities Will Be Review and validate Salesforce, Boomi, and AWS deployment requests, ensuring you check change sets for dependency conflicts before promoting them between environments. Develop CI/CD pipelines using Salesforce CLI, change sets, and GitLab for Salesforce deployments, alongside Terraform for AWS infrastructure provisioning. Troubleshoot deployment failures with engineering teams and maintain automated rollback procedures to minimize production impact. Build monitoring dashboards to ensure deployment issues are identified and addressed before they affect customers. Establish and enforce release governance standards including approval gates, dependency checks, environment promotion criteria, and change advisory board (CAB) processes. Define and report on important deployment metrics — deployment frequency, change failure rate, mean time to recovery (MTTR), and lead time for changes — to improve release performance. Partner with security and compliance teams to ensure all deployments meet organizational controls, audit requirements, and regulatory standards. Develop runbooks, deployment strategies, and operational documentation to ensure repeatability and knowledge transfer across engineering teams. What You'll Need to be Successful Qualifications B.S. in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of experience in DevOps, release engineering, or a similar role supporting enterprise environments Hands-on experience with Salesforce CLI, change sets, and Salesforce metadata deployments Proficiency with GitLab CI/CD pipelines and Terraform for infrastructure provisioning Experience managing release processes across multiple interconnected systems, including Salesforce, Boomi, and AWS Strong troubleshooting and problem-solving skills, with the ability to diagnose and resolve deployment failures Strong collaboration and communication skills, with experience working across multiple engineering teams Experience implementing release governance practices, including approval gates, dependency checks, automated validations, and rollback procedures Proficiency in Python, JavaScript, or another programming language for scripting, automation, troubleshooting, and improving DevOps workflows Experience with monitoring and observability tools such as Grafana and Prometheus, including building dashboards, analyzing metrics, and troubleshooting system and deployment issues Experience applying AI-powered tools and automation, such as GitHub Copilot, AI-assisted code reviews, or AI-driven testing frameworks, to improve deployment efficiency and reduce manual effort Familiarity with Boomi or similar integration platforms and their deployment processes Experience with Salesforce DevOps Center or third-party Salesforce release management tools such as Copado, Gearset, or Flosum Knowledge of AWS CloudFormation, CDK, or other infrastructure-as-code tooling beyond Terraform Exposure to SRE practices, incident management frameworks such as FireHydrant or Opsgenie, and observability platforms such as Datadog or Splunk Relevant certifications, such as AWS DevOps Engineer, Salesforce Administrator/Developer, or HashiCorp Terraform Associate, are preferred As a Bar Raiser You are expected to elevate the organization's DevOps and release engineering capabilities, rather than to maintain existing processes. This includes: Hold standards for release quality, deployment reliability, automation across Salesforce, Boomi, and AWS environments. Create a culture of "automation first" by eliminating manual deployment activities, reducing operational risk, and improving deployment velocity through scalable CI/CD practices. Use data, operational metrics, and production insights — not assumptions — to improve deployment success rates, release predictability, change failure rates, and recovery times. Simplify complex cross-platform deployment workflows into standardized, repeatable, and release processes that scale with business growth. Establish and improve engineering guardrails, including dependency validation, release governance, automated testing, approval gates, rollback strategies, and deployment observability. Mentor developers, integration engineers, and platform teams on DevOps best practices, release discipline, Infrastructure as Code, and to raise engineering across the organization. Challenge existing deployment practices respectfully and driving continuous improvements that reduce technical debt, improve system reliability, and strengthen collaboration. Stay current with modern DevOps, platform engineering, cloud infrastructure, and AI-assisted engineering capabilities, introducing practical innovations that improve developer productivity while maintaining security and governance. Leave every deployment pipeline, release process, operational framework, and engineering standard stronger and easier to operate than before. You will do not simply manage releases — it raises our engineering by improving how software is built, validated, governed, deployed, and operated across interconnected enterprise platforms. As an AI Bar Raiser Avalara is committed to building a workforce that uses artificial intelligence to lead smarter, faster, and more scalable outcomes. Expect to raise the AI capability of our DevOps and release engineering practice: Identify and adopt AI-powered tools that improve deployment pipeline efficiency, such as AI-assisted code review, intelligent test selection, anomaly detection in deployment telemetry, and predictive change risk scoring. Champion the use of AI and automation to eliminate repetitive, error-prone manual release activities. Use tools like GitHub Copilot, AI-assisted runbook generation, or LLM-driven incident summarization to accelerate engineering workflows. Evaluate and pilot new AI-native DevOps capabilities (e.g., AI-powered observability, automated root cause analysis, intelligent rollback triggers) and bring well-reasoned recommendations to the team. Model responsible AI use — applying AI tools with appropriate governance, validating AI-generated outputs, and maintaining human accountability for all production decisions. Mentor peers on practical AI tool usage within the DevOps lifecycle, helping the broader team develop AI fluency and reducing resistance to adopting AI-assisted workflows. Improve for how AI amplifies engineering capacity — not as a novelty, but as a measurable lever for deployment reliability, developer productivity. #LI-Remote Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. You’ll bring experience using AI and AI-related technologies, ready to thrive here. You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know. Review and validate Salesforce, Boomi, and AWS deployment requests, ensuring you check change sets for dependency conflicts before promoting them between environments. Develop CI/CD pipelines using Salesforce CLI, change sets, and GitLab for Salesforce deployments, alongside Terraform for AWS infrastructure provisioning. Troubleshoot deployment failures with engineering teams and maintain automated rollback procedures to minimize production impact. Build monitoring dashboards to ensure deployment issues are identified and addressed before they affect customers. Establish and enforce release governance standards including approval gates, dependency checks, environment promotion criteria, and change advisory board (CAB) processes. Define and report on important deployment metrics — deployment frequency, change failure rate, mean time to recovery (MTTR), and lead time for changes — to improve release performance. Partner with security and compliance teams to ensure all deployments meet organizational controls, audit requirements, and regulatory standards. Develop runbooks, deployment strategies, and operational documentation to ensure repeatability and knowledge transfer across engineering teams. Qualifications B.S. in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of experience in DevOps, release engineering, or a similar role supporting enterprise environments Hands-on experience with Salesforce CLI, change sets, and Salesforce metadata deployments Proficiency with GitLab CI/CD pipelines and Terraform for infrastructure provisioning Experience managing release processes across multiple interconnected systems, including Salesforce, Boomi, and AWS Strong troubleshooting and problem-solving skills, with the ability to diagnose and resolve deployment failures Strong collaboration and communication skills, with experience working across multiple engineering teams Experience implementing release governance practices, including approval gates, dependency checks, automated validations, and rollback procedures Proficiency in Python, JavaScript, or another programming language for scripting, automation, troubleshooting, and improving DevOps workflows Experience with monitoring and observability tools such as Grafana and Prometheus, including building dashboards, analyzing metrics, and troubleshooting system and deployment issues Experience applying AI-powered tools and automation, such as GitHub Copilot, AI-assisted code reviews, or AI-driven testing frameworks, to improve deployment efficiency and reduce manual effort Familiarity with Boomi or similar integration platforms and their deployment processes Experience with Salesforce DevOps Center or third-party Salesforce release management tools such as Copado, Gearset, or Flosum Knowledge of AWS CloudFormation, CDK, or other infrastructure-as-code tooling beyond Terraform Exposure to SRE practices, incident management frameworks such as FireHydrant or Opsgenie, and observability platforms such as Datadog or Splunk Relevant certifications, such as AWS DevOps Engineer, Salesforce Administrator/Developer, or HashiCorp Terraform Associate, are preferred As a Bar Raiser You are expected to elevate the organization's DevOps and release engineering capabilities, rather than to maintain existing processes. This includes: Hold standards for release quality, deployment reliability, automation across Salesforce, Boomi, and AWS environments. Create a culture of "automation first" by eliminating manual deployment activities, reducing operational risk, and improving deployment velocity through scalable CI/CD practices. Use data, operational metrics, and production insights — not assumptions — to improve deployment success rates, release predictability, change failure rates, and recovery times. Simplify complex cross-platform deployment workflows into standardized, repeatable, and release processes that scale with business growth. Establish and improve engineering guardrails, including dependency validation, release governance, automated testing, approval gates, rollback strategies, and deployment observability. Mentor developers, integration engineers, and platform teams on DevOps best practices, release discipline, Infrastructure as Code, and to raise engineering across the organization. Challenge existing deployment practices respectfully and driving continuous improvements that reduce technical debt, improve system reliability, and strengthen collaboration. Stay current with modern DevOps, platform engineering, cloud infrastructure, and AI-assisted engineering capabilities, introducing practical innovations that improve developer productivity while maintaining security and governance. Leave every deployment pipeline, release process, operational framework, and engineering standard stronger and easier to operate than before. You will do not simply manage releases — it raises our engineering by improving how software is built, validated, governed, deployed, and operated across interconnected enterprise platforms. As an AI Bar Raiser Avalara is committed to building a workforce that uses artificial intelligence to lead smarter, faster, and more scalable outcomes. Expect to raise the AI capability of our DevOps and release engineering practice: Identify and adopt AI-powered tools that improve deployment pipeline efficiency, such as AI-assisted code review, intelligent test selection, anomaly detection in deployment telemetry, and predictive change risk scoring. Champion the use of AI and automation to eliminate repetitive, error-prone manual release activities. Use tools like GitHub Copilot, AI-assisted runbook generation, or LLM-driven incident summarization to accelerate engineering workflows. Evaluate and pilot new AI-native DevOps capabilities (e.g., AI-powered observability, automated root cause analysis, intelligent rollback triggers) and bring well-reasoned recommendations to the team. Model responsible AI use — applying AI tools with appropriate governance, validating AI-generated outputs, and maintaining human accountability for all production decisions. Mentor peers on practical AI tool usage within the DevOps lifecycle, helping the broader team develop AI fluency and reducing resistance to adopting AI-assisted workflows. Improve for how AI amplifies engineering capacity — not as a novelty, but as a measurable lever for deployment reliability, developer productivity. #LI-Remote
