Software Engineering MTS
Salesforce · Posted Oct 26
Customer relationship management, cloud computing, enterprise software, and artificial intelligence solutions
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About the role
Salesforce provides AI CRM software. The team owns an enterprise Data and Integration Platform covering MuleSoft API-led integration, Agent Fabric governance for AI agents, MCP connectivity, and Wallarm API security and observability. This role builds and supports APIs, integrations, AI agents, and MCP-based connectivity while helping implement governance, security, monitoring, and platform reliability.
What you will do
- Build and support APIs and integrations using MuleSoft.
- Help develop reusable integration components and API policies.
- Support connectivity between enterprise systems, data platforms, and AI applications.
- Support onboarding and management of agents and MCP servers through Agent Fabric.
- Help implement governance, access controls, and lifecycle management for agent integrations.
- Enable secure agent-to-system connectivity using APIs and MCP-based patterns.
- Help monitor API traffic and security signals using Wallarm.
- Support API discovery, security policy enforcement, and investigation of anomalous behavior.
- Troubleshoot API and integration issues using logs, metrics, and platform telemetry.
- Contribute to CI/CD, automated testing, deployment automation, and platform configuration.
- Support production operations and participate in debugging and root-cause analysis.
- Maintain documentation and operational runbooks.
- Work with data, application, security, and AI teams to implement integration requirements.
- Participate in code reviews, engineering standards, and continuous improvement.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- 3+ years of software engineering, integration engineering, platform engineering, DevOps, or related experience, including internships or substantial project experience.
- Programming or scripting experience with one or more languages such as Java, Python, JavaScript/TypeScript, or similar languages.
- Foundational understanding of REST APIs, HTTP, JSON, authentication, and API integration concepts.
- Experience developing, consuming, testing, or troubleshooting APIs and web services.
- Familiarity with integration concepts such as APIs, services, messaging, data transformation, and system-to-system connectivity.
- Basic understanding of software development practices including Git, source control, testing, code reviews, and CI/CD.
- Familiarity with cloud platforms, containers, or modern application deployment concepts.
- Basic understanding of application and API security concepts, including authentication, authorization, secrets management, and secure coding practices.
- Ability to troubleshoot technical issues by reviewing logs, API requests and responses, system behavior, and monitoring data.
- Strong interest in learning enterprise integration platforms, API management, AI-agent platforms, and API security technologies.
- Strong communication, collaboration, and problem-solving skills with the ability to learn from and work effectively with experienced engineers.
Preferred qualifications
- Exposure to MuleSoft Anypoint Platform, including technologies such as Anypoint Studio, API Manager, Runtime Manager, Exchange, CloudHub, Runtime Fabric, or Mule applications.
- Familiarity with API-led connectivity, reusable API design, OpenAPI, RAML, or API lifecycle management.
- Exposure to Agent Fabric, AI-agent platforms, agent orchestration, agent registries, or AI governance concepts.
- Familiarity with Model Context Protocol (MCP), agent-to-agent communication, tool calling, LLM applications, or other agentic AI concepts.
- Experience or coursework involving generative AI, LLM APIs, AI application development, or retrieval-augmented generation.
- Exposure to API security platforms such as Wallarm or familiarity with API discovery, API threat protection, Web Application and API Protection (WAAP), or API security monitoring.
- Understanding of common API security risks, including the OWASP API Security Top 10.
- Familiarity with OAuth 2.0, OpenID Connect, JWTs, API keys, or other API authentication and authorization mechanisms.
- Experience with Docker, Kubernetes, or cloud-native technologies.
- Exposure to AWS, Azure, Google Cloud, or another major cloud platform.
- Familiarity with observability tools and concepts such as logging, metrics, tracing, dashboards, and alerting.
- Experience with infrastructure-as-code or automation technologies such as Terraform, Ansible, or scripting.
- Coursework, internships, personal projects, or open-source contributions involving APIs, integration platforms, cloud services, cybersecurity, or AI agents.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Salesforce
Salesforce, Inc. is a leading global cloud-based enterprise software company specializing in customer relationship management (CRM) and artificial intelligence solutions. Through its integrated Customer 360 platform, the company provides applications for sales, customer service, marketing automation, e-commerce, and analytics. Powered by innovations like Agentforce, Salesforce helps businesses bridge human capability with autonomous AI agents to drive customer success.
- Industry
- Cloud Computing
- Company size
- 87000+ employees
- Founded
- 1999
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25B raised
- 2026-03Post-IPO Debt$25B
- 2003-01Venture Round$1M
- 2001-06Series D$46.9M
- 1999-11Series C$13.2M
- 1999-06Series B$3.8M
Leadership
Chair, Chief Executive Officer & Co-Founder
President & Chief Operating and Financial Officer
Co-Founder & Chief Technology Officer, Slack
President & Chief Strategy Officer
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