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[Remote] Salesforce DevOps Release Engineer

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. Avalara is a cloud compliance and tax technology company. The Salesforce DevOps Release Engineer will lead release management and deployment pipelines across Salesforce, Boomi, and AWS, building CI/CD automation, release governance, monitoring, rollback procedures, and operational standards. The role will also improve deployment reliability, mentor engineering teams, and introduce AI-assisted DevOps practices.

Responsibilities

  • 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
  • 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
  • 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

Skills

  • 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 (Salesforce, Boomi, AWS)
  • Troubleshoot with the ability to resolve deployment failures
  • Collaborate to work with multiple engineering teams
  • Experience implementing release governance practices such as approval gates, dependency checks, and rollback procedures
  • Experience applying AI-powered tools and automation (e.g., 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 (Copado, Gearset, or Flosum)
  • Knowledge of AWS CloudFormation, CDK, or other infrastructure-as-code tooling beyond Terraform
  • Exposure to SRE practices, incident management frameworks (e.g., Firehydrant, Opsgenie), and observability platforms (e.g., Datadog, Splunk)
  • Relevant certifications such as AWS DevOps Engineer, Salesforce Administrator/Developer, or HashiCorp Terraform Associate

Benefits

  • This is a remote role.
  • Paid time off
  • Paid parental leave
  • Many Avalara employees are eligible for bonuses.
  • Benefits vary by location but generally include private medical, life, and disability insurance.
  • Avalara has 8 employee-run resource groups, each with senior leadership and executive sponsorship.

Company Overview

  • Avalara is the agentic AI platform for global tax and compliance. It was founded in 2004, and is headquartered in Seattle, Washington, USA, with a workforce of 1001-5000 employees. Its website is http://www.avalara.com.