Senior Software Engineer

• Build AI-assisted developer agents and automation services that reduce repetitive engineering and operational work.
• Use contextual information from Git repositories, metadata, tickets, documentation, deployment logs, and platform APIs to make automation more accurate and useful.
• Automate release planning, validation, dependency analysis, testing, deployment coordination, post-release verification, and rollback activities.
• Build tools that detect potential merge conflicts, explain their impact, and recommend or execute safe resolutions with appropriate human approval.
• Develop agents that assist with code and metadata analysis, documentation, test generation, troubleshooting, incident response, and operational runbooks.
• Establish metrics to measure productivity gains, manual effort reduction, deployment quality, and automation adoption.

• Design and implement automation across Salesforce, NetSuite, AEM, Boomi, Okta, GitHub, CI/CD systems, ticketing platforms, and other ET applications.
• Build reusable APIs, connectors, scripts, workflows, and event-driven services.
• Create platform-agnostic automation patterns for authentication, authorization, retries, error handling, logging, monitoring, and auditability.
• Develop self-service capabilities that allow teams to safely perform approved tasks without direct manual intervention.
• Monitor, troubleshoot, and improve end-to-end workflows spanning multiple enterprise applications.

• Design and optimize Salesforce Flows, declarative automation, Apex utilities, and platform integrations.
• Implement Profiles, Permission Sets, Permission Set Groups, FLS, Sharing Rules, OWDs, Shield, Event Monitoring, and related security controls.
• Build data masking and lower-environment protection processes for sensitive information.
• Debug and refactor platform automation to improve reliability, performance, and maintainability.
• Review third-party packages, Connected Apps, OAuth configurations, and API access in partnership with Security and Privacy teams.

• Eliminate manual deployment and environment-management steps through automation.
• Build CI/CD integrations for metadata validation, testing, deployment, approvals, and rollback.
• Automate sandbox refreshes, data masking, metadata synchronization, configuration updates, and post-refresh activities.
• Maintain automation code and configuration in GitHub using appropriate branching, testing, review, and release practices.
• Partner with Release Engineering and DevSecOps teams to standardize deployment and operational patterns

• Implement least-privilege access for service accounts, agents, integrations, and automation workflows.
• Apply guardrails and human approval controls to high-risk actions.
• Protect sensitive data used by automation and AI systems.
• Maintain comprehensive execution logs, audit trails, monitoring, and alerting.
• Design for reliability through testing, idempotency, retries, failure recovery, and rollback.
• Establish governance standards for secure and responsible use of AI-enabled automation

• 5+ years of experience in software engineering, enterprise automation, platform engineering, DevOps, integration engineering, or a related field.
• Proven experience building production-grade automation that reduces manual operational or development work.
• Strong programming experience in Python, JavaScript/TypeScript, Node.js, Java, or a similar language.
• Experience with REST APIs, webhooks, OAuth, event-driven workflows, asynchronous processing, and SaaS integrations.
• Experience with Git/GitHub, CI/CD pipelines, automated testing, release engineering, and environment management.
• Experience with at least two enterprise platforms, preferably including Salesforce, NetSuite, AEM, Boomi, Okta, or comparable systems.
• Hands-on Salesforce experience with Apex, SOQL/SOSL, Flows, Salesforce CLI, metadata APIs, and platform security.
• Experience designing reusable automation frameworks, internal tools, CLI utilities, or developer platforms.
• Practical experience integrating LLMs or AI services into enterprise workflows, developer tools, or operational automation.
• Understanding of agentic workflows, tool calling, retrieval-augmented generation, context management, and human-in-the-loop automation.
• Experience implementing security controls for APIs, service accounts, connected applications, secrets, data access, and automation infrastructure.
• Strong debugging, documentation, communication, and cross-functional collaboration skills.

• Salesforce Administrator, Advanced Administrator, Platform App Builder, or Platform Developer I certification.
• Experience with Salesforce Shield, Event Monitoring, security audits, or data masking.
• Experience with NetSuite, AEM, Boomi, Okta, ServiceNow, Workday, SAP, or similar enterprise platforms.
• Experience with GitHub Actions, Jenkins, GitLab CI or comparable CI/CD technologies.
• Experience with cloud services such as AWS or GCP, including serverless functions, queues, secrets management, and observability.
• Experience with agent frameworks, LLM APIs, vector databases, RAG systems, or AI evaluation frameworks.
• Experience building developer agents for code review, release engineering, incident management, testing, or platform operations.
• Experience working in a large, geographically distributed enterprise environment.

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