Lead Salesforce Developer

MACHINE LEARNING TECHNOLOGIES LLC

Austin (TX)

On-site

USD 89,000 - 126,000

Part time

19 hours ago
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Job summary

Machine Learning Technologies LLC is seeking a Lead Salesforce Developer to architect scalable Salesforce solutions across Sales Cloud, Service Cloud, and Experience Cloud, guiding wealth-management workflows and enterprise integration strategies.

You will mentor engineers, drive technical decisions, and shape the Salesforce roadmap while ensuring best practices, performance optimization, and robust deployment processes across multiple orgs.

Qualifications

  • Bachelor's degree in a related field is required.
  • 7+ years of Salesforce development experience across multiple orgs or product lines.
  • Expert-level Apex development including triggers, batch classes, queueable jobs, and test frameworks.
  • Expert-level LWC and Aura development; strong declarative tools (Flows, Process Builder, Approval, Validation).
  • Deep knowledge of Sales, Service, and Experience Cloud.
  • Experience designing Salesforce integrations using REST/SOAP, Platform Events, Change Data Capture, and middleware.

Responsibilities

  • Architect end-to-end Salesforce solutions with broad organizational impact.
  • Translate CRM needs into scalable Apex, LWC, and flow-based implementations.
  • Lead cross-team collaboration aligning Salesforce with business/platform goals.
  • Enforce best practices for Apex, LWC, automated testing, and deployments.
  • Design and maintain integration patterns with external systems (REST/SOAP APIs, middleware).
  • Mitigate governor limits, data-model scalability, and org health risks.
  • Lead incident response and RCA for critical Salesforce issues.
  • Improve CI/CD pipelines and deployment automation with DevOps teams.
  • Mentor engineers and set development standards across teams.

Skills

Apex development
LWC & Aura
Sales Cloud
Service Cloud
Experience Cloud
CI/CD
REST/SOAP APIs
Platform Events
Mentoring engineers
Apex testing

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

MuleSoft
Boomi
Copado
Gearset
Salesforce DX
Salesforce CLI
Scratch orgs
Apigee
PostgreSQL
SQL Server
Redis
Elasticache
AWS (EC2, S3, ELB, ASG, API Gateway, Lambda, RDS, EKS, CloudWatch, SQS)
Kubernetes
Docker
Kafka
CloudFormation
CDK
Terraform
DevOps practices

Job description

Job ID: J53766

Job Title: Lead Salesforce Developer

Location: Austin, TX

Duration: 10 Months + Extension

Domain Exposure: Oil & Gas

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Bill Rate: $78/hour(C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

Envestnet is seeking a Lead Salesforce Developer to architect and build scalable Salesforce solutions that support wealth management business operations and advisor-driven workflows. This role offers the opportunity to drive technical decision-making across Sales Cloud, Service Cloud, and Experience Cloud implementations while mentoring engineers and aligning Salesforce capabilities with enterprise platform strategy.

Job Description
  • Architects and designs end-to-end Salesforce solutions with broad organizational impact. Leads technical decision-making for major Salesforce features, integrations, and platform initiatives.
  • Breaks down complex CRM requirements into scalable, maintainable Apex, LWC, and flow-based solutions.
  • Drives cross-team collaboration and aligns Salesforce solutions with broader business and platform goals.
  • Establishes and enforces best practices for Apex development, Lightning Web Components, automated testing, and deployment.
  • Designs and maintains integration patterns between Salesforce and external systems (REST/SOAP APIs, middleware, event-driven architectures).
  • Anticipates technical risks (governor limits, data model scalability, org health) and implements mitigation strategies.
  • Leads incident response and root cause analysis for critical Salesforce production issues.
  • Influences Salesforce roadmap planning through technical insight and feasibility analysis. Partners with DevOps/SRE teams to improve Salesforce CI/CD pipelines, deployment automation, and org observability.
  • Implements infrastructure-aware Salesforce design decisions (multi-org strategy, platform event scalability, external object patterns). Mentors engineers across multiple levels and contributes to team development.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required.
  • 7+ years of Salesforce development experience, including ownership of complex CRM solutions across multiple orgs or product lines.
  • Expert-level Apex development including triggers, batch classes, queueable jobs, and test frameworks.
  • Expert-level Lightning Web Components (LWC) and Aura component development. Strong experience with Salesforce declarative tools including Flows, Process Builder, Approval Processes, and Validation Rules.
  • Deep knowledge of Sales Cloud, Service Cloud, and Experience Cloud (Community Cloud).
  • Experience designing and maintaining Salesforce integration patterns using REST/SOAP APIs, Platform Events, Change Data Capture, and middleware platforms (MuleSoft, Boomi, or equivalent).
  • Experience with Salesforce DX, Salesforce CLI, scratch orgs, and source-driven development.
  • Experience with CI/CD for Salesforce using tools such as Copado, Gearset, or equivalent pipeline automation.
  • Proficiency with SOQL, SOSL, and performance optimization techniques (governor limits, query optimization, bulk patterns).
  • Experience with Salesforce security model including profiles, permission sets, sharing rules, and field-level security.
  • Familiarity with Financial Services Cloud or Wealth Management-related Salesforce configurations is a plus.
  • Salesforce Platform Developer II, Application Architect, or System Architect certification preferred.
  • Experience mentoring engineers and establishing Salesforce development standards across teams.
  • Strong technical background with .NET, unit, Reqnroll, RESTful APIs, and API management solutions such as Apigee.
  • Experience with PostgreSQL, SQL Server, Redis, and Elastic ache.
  • Experience with AWS services including EC2, S3, ELB, ASG, API Gateway, Lambda, RDS, EKS, CloudWatch, SQS.
  • Experience with Kubernetes, Docker, Kafka, CloudFormation, CDK, Terraform, DevOps practices, automation, agile delivery, Scrum, and test-driven development.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

© 2004-2026, Machine Learning Technologies LLC, or its affiliates

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