Salesforce
Software Engineering LMTS
Washington - Bellevue
Sponsorship not specified$173k-$260kDetected 1 day ago
PythonJavaGoScalaNode.jsDistributed SystemsAlgorithmsCode ReviewGitSQLNoSQLPostgreSQLMongoDBRedshiftAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsPlatform EngineeringAPI Development
About the role
- To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
- And innovation isn't a buzzword - it's a way of life.
- Ready to level-up your career at the company leading workforce transformation in the agentic era?
Responsibilities
- Make architectural and design decisions with a strong focus on performance, scalability, security, and future extensibility
- Build efficient components and algorithms within a microservices-based, multi-tenant SaaS cloud environment
- Mentor engineers, conduct code reviews, and provide technical guidance to drive high standards across the team
Requirements
- 10+ years of software development experience with large-scale distributed systems
- Experience with Kafka, Airflow, or event-driven architectures
- Familiarity with Agentforce / AI-integrated workflows
- Experience with MUnit testing, Splunk monitoring, and incident management
- Prior experience in the MuleSoft T&P Planning Org or integration platform engineering
Nice to have
- Deep understanding of MuleSoft Anypoint Platform - Anypoint Studio, DataWeave 2.0, API Manager, Runtime Manager, Exchange, MQ
- Strong experience with REST/SOAP/GraphQL API design and microservices architecture
- Strong SQL and NoSQL database skills (PostgreSQL, MongoDB, Redshift, etc.)
- Experience with CI/CD pipelines, version control (Git), and DevOps practices
- Proficiency in Kubernetes/Docker and cloud-native infrastructure
- Demonstrated technical leadership and ability to mentor teams
- Excellent written and verbal communication skills
- Mastery of one or more: Java, Python, Scala, Go, Node.js (Java strongly preferred for MuleSoft platform work)
Compensation
- At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $172,500 - $260,100 annually.
Benefits
- The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
- It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
- The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
- Certain roles may be eligible for incentive compensation, equity, and benefits.
- Salesforce offers a variety of benefits to help you live well including:
- time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- Develop test strategies, design automation frameworks, write unit/functional tests to drive code coverage and automation metrics
- Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best.
Company info
- Design, build, and deliver high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow
- Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Equal opportunity
- Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
- If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Visa & Work Authorization
- Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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This listing is sourced directly from Salesforce's careers page and normalized into a canonical job model.