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