Salesforce Developer with python

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.

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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.

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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., MuleSoft, Apache Kafka, AWS EventBridge, Azure Service Bus).

o Idempotency handling, exponential backoff, error retry queues, and dead-letter queue (DLQ) architectures.

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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, BigQuery, AWS Redshift, or Databricks).

o Data manipulation and cleansing using libraries such as pandas, polars, and numpy for data sanitation, mass deduplication, and complex transformations.

o Automated operational scripts for bulk data extract, compliance validation, and platform telemetry aggregation.

AI & Agentic Systems (Preferred / Emerging):

o Interfacing Python-based AI agents, LLMs, or retrieval-augmented generation (RAG) pipelines with Salesforce data models (e.g., LangChain, LlamaIndex, OpenAI/Bedrock APIs, Salesforce Agentforce integration).

Roles & Responsibilities

Develop, implement and maintain Salesforce customizations, applications, extensions and integrations.

Develop complex workflows using flows and omni studio will be preferred

Develop LWC components

Participate in the planning/analysis of business requirements for system changes and enhancements.

Collaborate inter-departmentally to identify business needs and translate them into technical solutions.

Create testing and implementation plans, including user training and documentation.

Remain current with Salesforce technologies and best practices.

Experience with Apex, Visualforce and the Lightning Component Framework.

Advanced knowledge of Salesforce permissions, roles, reports, dashboards, etc.

Experience with APIs and integrations.

Experience working on an Agile development team

Experience with software development outside of the Salesforce ecosystem.

Excellent communication and collaboration skills.