Software Engineer (Member of Technical Staff) – Contract Lifecycle Management

Salesforce•Dallas, TX

10d•Hybrid

About The Position

We are looking for a talented, self-directed Member of Technical Staff (MTS) Software Engineer to join our Salesforce engineering team in Dallas, TX. In this role, you will design, build, and maintain sophisticated solutions on the Salesforce platform, drive AI-powered innovation, and deliver enterprise-grade integrations that scale. This is an exciting opportunity to work alongside mission-driven teams, leverage cutting-edge AI tools, and make a measurable business impact through technology. This role is Office-Flex (~1–3 days/week in office), based out of Dallas, TX.

Requirements

5+ years of experience in software development
3+ years of API and web services development experience
Bachelor's Degree in Mathematics, Computer Science, or relevant experience
Experience developing and supporting distributed systems and enterprise system integrations using RESTful APIs and standard data formats (JSON, XML, SOAP)
Proven ability to assess integration requirements and optimize resource utilization by accurately estimating vCore capacity and SLA targets based on QPS, data volume, and solution design to ensure high performance and scalability
Familiarity with CI/CD technologies such as Maven, Jenkins, and Git
Strong understanding of data structures and data management practices (maps, caches, ETL), with practical experience writing SQL and other database query languages
Salesforce Certified Platform Developer I & Advanced Developer (Platform Developer II) certifications
Working knowledge of public cloud platforms like AWS / Heroku
Strong grasp of Object-Oriented Programming (OOP) concepts: encapsulation, inheritance, polymorphism, and abstraction

Nice To Haves

Experience with Apex, Lightning Web Components (LWC), and Salesforce.com APIs
Experience with AI developer productivity tools: Cursor, GitHub Copilot, CodeWhisperer
Experience with web application development including HTML, CSS, and JavaScript
Familiarity with Agile/Scrum development methodologies

Responsibilities

Design and implement sophisticated Salesforce solutions across Sales Cloud, Service Cloud, and custom application frameworks to meet diverse business needs.
Lead the development of intelligent solutions utilizing Agentforce, Agent Builder, and other AI-driven Salesforce capabilities to enhance platform automation.
Build and maintain sophisticated automation using Flow Builder, including complex orchestration, interactive screen flows, and high-performance auto-launched flows.
Write clean, efficient, and well-documented Apex code, strictly adhering to platform best practices, common design patterns, and rigorous algorithmic standards.
Design and manage robust integration solutions using REST/SOAP APIs, Platform Events, Change Data Capture (CDC), and infrastructure discovery tools to connect Salesforce with third-party systems.
Participate in product and feature design sessions with cross-functional teams, contributing to code reviews and ensuring product quality meets organizational expectations.
Proactively analyze Salesforce seasonal releases to identify and recommend high-value features that drive business growth and platform efficiency.
Resolve complex platform issues by leveraging a deep understanding of Salesforce architecture, the order of execution, and governor limits to maintain system stability.
Incorporate advanced AI-assisted development tools — such as Cursor, GitHub Copilot, and Agentforce — to accelerate delivery timelines and improve overall code quality.
Utilize professional developer tooling, including the Apex Log Analyzer, Query Plan Tool, and Event Monitoring, to optimize system performance and security.
Contribute to the enhancement of automation frameworks, utilities, and internal developer tools to streamline the software development lifecycle.
Engage in the Hybrid Engineer model by performing Quality Assurance (QA) on features developed by other teams, ensuring comprehensive test plan execution and automation of acceptance criteria.