Salesforce Developer with python — Dallas, TX

Job Description

Salesforce Developer with python

Must Have Technical/Functional Skills

• 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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• Core Salesforce Platform & Programmatic Development (Mandatory)

• Apex Engineering & Architecture:

• Advanced object-oriented programming (OOP) using enterprise design patterns (Trigger Handler frameworks, Service Layer pattern, Domain/Selector layer, Unit of Work pattern).

• Asynchronous processing mastery: Batch Apex, Queueable Apex with chaining, Schedulable jobs, and Continuation patterns for long-running callouts.

• Rigorous transaction management and governor limit mitigation strategies (SOQL/SOSL query optimization, heap size tuning, and bulkified CPU execution profiling).

• Comprehensive automated testing using Apex Mocks, stub APIs, and enterprise-grade test isolation fixtures achieving resilient code coverage.

• Modern Frontend (Lightning Web Components & UX):

• Modern JavaScript (ES6+) and Lightning Web Components (LWC) reactive programming, lifecycle hooks, wire adapters, and ••••••••/•••••••• state architecture.

• Component orchestration via Lightning Message Service (LMS), custom events, and publish-subscribe paradigms across decoupled UI boundaries.

• Experience handling complex data tables, real-time client validation, custom modal interactions, and Lightning Design System (SLDS) styling standards.

• Legacy maintenance and refactoring capabilities: aura component modernization and Visualforce deprecation roadmaps.

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• Enterprise Integration & Middleware Architecture (Mandatory)

• API Development & Protocols:

• Designing and consuming custom RESTful and SOAP web services (Apex REST APIs, external REST endpoints, JSON/XML parsing).

• Deep understanding of Salesforce native integration APIs: Composite API, Bulk API 2.0, Streaming API, and GraphQL API.

• Event-Driven Architectures (EDA) using Platform Events, Change Data Capture (CDC), and Pub/Sub APIs for real-time decoupled event streaming.

• Security & Authentication:

• OAuth 2.0 flows (JWT Bearer Token flow, Web Server flow, Authorization Code, Client Credentials) and mutual TLS (mTLS).

• Named Credentials, External Credentials, Connected Apps configuration, and certificate-based mutual authentication.

• Hybrid Middleware & Microservices:

• Integrating Salesforce with enterprise middleware (e.g., MuleSoft, Apache Kafka, AWS EventBridge, Azure Service Bus).

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

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• Python Development & Data Ecosystem (Mandatory)

• Python Capabilities & Tooling:

• Advanced proficiency in Python 3.x (functional programming, object-oriented design, type hinting, concurrency with asyncio, multithreading, or multiprocessing).

• Direct experience with Salesforce programmatic interaction libraries such as simple-salesforce, beatbox, and official REST/Bulk API wrappers.

• Microservice / API development using frameworks like FastAPI, Flask, or AWS Lambda serverless functions.

• Data Engineering & Automation Pipelines:

• Designing Python-driven ETL/ELT pipelines for high-volume data synchronization between Salesforce and cloud data warehouses (Snowflake, BigQuery, AWS Redshift, or Databricks).

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

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

• AI & Agentic Systems (Preferred / Emerging):

• 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.

Salary Range- $100,000-$120,000 a year