3620 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors degree
- Over 5 years of integration development experience, including 2-3 years of hands-on MuleSoft in production environments
- Strong proficiency with MuleSoft Anypoint Platform (Design Center/Exchange, Runtime Manager, API Manager) and API-led connectivity patterns
- Practical experience with Mule 4, DataWeave, connectors, error handling, retries/idempotency, and performance tuning
- Established testing practice using MUnit and experience with SIT/UAT and production validation
- Proven experience in Salesforce integration including REST/SOAP APIs, Bulk API, Platform Events/CDC, and Salesforce data model and limits
- Capability to define and consume interface contracts (OpenAPI/RAML), perform data mapping, and manage versioning/backward compatibility
- Understanding of security principles for integrations, including OAuth 2.0/JWT and secure transport
- Competence in operational readiness: logging/monitoring, troubleshooting across systems, and production support/hypercare involvement
- Strong interpersonal skills for collaboration with functional stakeholders, project management office (PMO), Salesforce team, and downstream system owners; proficiency in technical documentation
- Must be legally able to work in the United States without employer sponsorship now or in the future
- Ability to obtain and maintain the required clearance for this role
- Willingness to travel 20-30%, depending on work and client needs
Responsibilities
- Design and deliver critical integrations between Salesforce and enterprise systems using MuleSoft
- Collaborate closely with functional stakeholders, project management office (PMO), integration partners, and the Salesforce team
- Take hands-on responsibility for MuleSoft integrations across multiple product teams, from discovery to hypercare
- Interpret business requirements into integration specifications, including interface contracts, data mapping, and non-functional requirements
- Develop MuleSoft APIs and flows using scalable, reusable API-led architectures when applicable
- Implement robust error handling mechanisms, retries, idempotency, and resilience patterns; resolve complex cross-system issues
- Work alongside Salesforce architects/admins and downstream systems teams to synchronize data models and integration designs
- Assist with testing and release activities, covering test data requirements, deployment readiness, and production validation
Description
At Deloitte, our Customer team is dedicated to empowering organizations by fostering deeper connections with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We enhance customer experiences and propel sustainable growth by integrating customer and commercial strategies, digital products, marketing, sales, and service. Our diverse team of strategists, data scientists, operators, creatives, designers, engineers, and architects effectively balances technology with business strategy to tackle the challenges faced by our clients. We are part of Deloittes Government & Public Services practice, serving a range of government clients and public institutions. We provide a beneficial, competitive package for our professionals, focusing solely on project delivery without additional business development or promotion expectations.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 3620 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Decisive Dividend Corporation, TEN X TORONTO, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic, GE Aerospace among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 266 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 266 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.