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Salesforce Developer python

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Realign Llc
Full Time, Seasonal/Temporary position
Listed on 2026-10-10
Job specializations:
  • Software Development
    Backend Developer, Python, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Job Type: Full Time Job Category: IT

Job Description

Job Title: Salesforce Developer with python
Location
:
Dallas, TX / Jacksonville, FL(Onsite)
Fulltime

Job Description

Salesforce Developer with python

Must Have Technical/Functional Skills

1. Technical Profile Summary

The Senior Salesforce Developer will design, develop, and optimize scalable enterprise architectures across core Salesforce clouds and decoupled middleware/data ecosystems. This role bridges programmatic Salesforce engineering (Apex, LWC) with modern programmatic backend capabilities (Python), leading API-first integrations, data pipeline engineering, automation frameworks, and maintainable enterprise software design patterns.

2. Core Salesforce Platform & Programmatic Development (Mandatory)
  • Apex Engineering & Architecture: o Advanced object-oriented programming (OOP) using enterprise design patterns (Trigger Handler frameworks, Service Layer pattern, Domain/Selector layer, Unit of Work pattern). o Asynchronous processing mastery:
    Batch Apex, Queueable Apex with chaining, Schedulable jobs, and Continuation patterns for long-running callouts. o Rigorous transaction management and governor limit mitigation strategies (SOQL/SOSL query optimization, heap size tuning, and bulkified CPU execution profiling). o Comprehensive automated testing using Apex Mocks, stub APIs, and enterprise-grade test isolation fixtures achieving resilient code coverage.
  • Modern Frontend (Lightning Web Components & UX): o Modern JavaScript (ES6+) and Lightning Web Components (LWC) reactive programming, lifecycle hooks, wire adapters, and @api/@track state architecture. o Component orchestration via Lightning Message Service (LMS), custom events, and publish-subscribe paradigms across decoupled UI boundaries. o Experience handling complex data tables, real-time client validation, custom modal interactions, and Lightning Design System (SLDS) styling standards.

    o Legacy maintenance and refactoring capabilities: aura component modernization and Visualforce deprecation roadmaps.
3. Enterprise Integration & Middleware Architecture (Mandatory)
  • API Development & Protocols: o Designing and consuming custom RESTful and SOAP web services (Apex REST APIs, external REST endpoints, JSON/XML parsing). o Deep understanding of Salesforce native integration APIs:
    Composite API, Bulk API 2.0, Streaming API, and GraphQL API. o Event-Driven Architectures (EDA) using Platform Events, Change Data Capture (CDC), and Pub/Sub APIs for real-time decoupled event streaming.
  • Security & Authentication: o OAuth 2.0 flows (JWT Bearer Token flow, Web Server flow, Authorization Code, Client Credentials) and mutual TLS (mTLS). o Named Credentials, External Credentials, Connected Apps configuration, and certificate-based mutual authentication.
  • Hybrid Middleware & Microservices: o Integrating Salesforce with enterprise middleware (e.g., Mule Soft, Apache Kafka, AWS Event Bridge, Azure Service Bus). o Idempotency handling, exponential backoff, error retry queues, and dead-letter queue (DLQ) architectures.
4. Python Development & Data Ecosystem (Mandatory)
  • Python Capabilities & Tooling: o Advanced proficiency in Python 3.x (functional programming, object-oriented design, type hinting, concurrency with asyncio, multithreading, or multiprocessing). o Direct experience with Salesforce programmatic interaction libraries such as simple-salesforce, beatbox, and official REST/Bulk API wrappers. o Microservice / API development using frameworks like FastAPI, Flask, or AWS Lambda serverless functions.
  • Data Engineering & Automation Pipelines: o Designing Python-driven ETL/ELT pipelines for high-volume data synchronization between Salesforce and cloud data warehouses (Snowflake, Big Query, AWS Redshift, or…
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