Note: The job is a remote job and is open to candidates in USA. Avalara is a provider of cloud-based tax compliance technology. The Salesforce DevOps Release Engineer will own release management and deployment pipelines across Salesforce, Boomi, and AWS, ensuring reliable and governed changes from development through production. The role will build CI/CD automation, troubleshoot deployment issues, establish release standards, monitor deployment performance, and promote AI-assisted DevOps practices.
Responsibilities
- Review and validate Salesforce, Boomi, and AWS deployment requests, ensuring change sets are checked for dependency conflicts prior to promotion between environments
- Build and maintain CI/CD pipelines using Salesforce CLI, change sets, and GitLab for Salesforce deployments, alongside Terraform for AWS infrastructure provisioning
- Troubleshoot deployment failures in coordination with engineering teams and maintain automated rollback procedures to minimize production impact
- Own monitoring and alerting 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, track, and report on key deployment metrics — deployment frequency, change failure rate, mean time to recovery (MTTR), and lead time for changes — to continuously improve release performance
- Partner with security and compliance teams to ensure all deployments meet organizational controls, audit requirements, and regulatory standards
- Develop and maintain runbooks, deployment playbooks, and operational documentation to ensure repeatability and knowledge transfer across engineering teams
- Holding exceptionally high standards for release quality, deployment reliability, automation, and operational excellence across Salesforce, Boomi, and AWS environments
- Driving a culture of "automation first" by continuously eliminating manual deployment activities, reducing operational risk, and improving deployment velocity through scalable CI/CD practices
- Using data, operational metrics, and production insights — not assumptions — to improve deployment success rates, release predictability, change failure rates, and recovery times
- Simplifying complex cross-platform deployment workflows into standardized, repeatable, and resilient release processes that scale with business growth
- Establishing and continuously improving engineering guardrails, including dependency validation, release governance, automated testing, approval gates, rollback strategies, and deployment observability
- Mentoring developers, integration engineers, and platform teams on DevOps best practices, release discipline, Infrastructure as Code, and operational excellence to raise engineering maturity across the organization
- Challenging existing deployment practices respectfully and driving continuous improvements that reduce technical debt, improve system reliability, and strengthen cross-functional collaboration
- Staying 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
- Leaving every deployment pipeline, release process, operational framework, and engineering standard stronger, more resilient, and easier to operate than before
- Proactively 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 — using tools like GitHub Copilot, AI-assisted runbook generation, or LLM-driven incident summarization to accelerate engineering workflows
- Evaluate and pilot emerging 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
- Continuously raise the bar for how AI amplifies engineering capacity — not as a novelty, but as a measurable lever for deployment reliability, developer productivity, and operational excellence
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)
- Strong troubleshooting skills with the ability to diagnose and resolve deployment failures under pressure
- Excellent communication and coordination skills to work across multiple engineering teams
- Experience implementing release governance practices such as approval gates, dependency checks, and rollback procedures
- Experience leveraging 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
- 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.
- This is a remote role
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