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Lead Software Engineer_Onsite SF-FSC

Triunity SoftwareSan Francisco, CA🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

As a Lead Software Engineer at Triunity Software, you will architect and build innovative marketing technology solutions, driving high-impact customer engagement capabilities in a hybrid work environment. This role is perfect for a seasoned technologist with expertise in MarTech, big-data, and cloud-native design, eager to lead engineering teams and leverage AI-assisted development. Join a dynamic team and contribute to the future of customer engagement.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Posting Title:   Lead Software Engineer_Onsite SF-FSC

Location: SFO, CA ( Hybrid role) 

Type: 12 months+ 

LOCAL and w2 only. Client is ok to interview non-local candidates, but they want this candidate to relocate to Bay Area to work on hybrid basis. 

Lead Full Stack Engineer (MarTech Engineering & Orchestration)

Role Overview

Lead Full Stack Engineer in the FOE POD is a senior technical leader responsible for architecting, building, and scaling next‑generation marketing technology solutions. This role blends deep MarTech orchestration expertise with modern big‑data engineering, cloud-native design, and emerging AI‑driven development patterns. The ideal candidate is a hands-on technologist who can design resilient systems, guide engineering teams, and partner with cross-functional stakeholders to deliver high‑impact customer engagement capabilities.

Key Responsibilities

  • Lead end‑to‑end MarTech engineering initiatives across orchestration, data processing, and activation pipelines.
  • Architect scalable, event‑driven systems that power real‑time marketing experiences and automated customer journeys.
  • Design and implement orchestration workflows using Adobe Campaign or equivalent enterprise‑grade tools.
  • Develop high‑performance big‑data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
  • Build and optimize cloud‑native data pipelines on Azure, including ADF‑based ingestion, transformation, and orchestration.
  • Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems.
  • Drive AI‑assisted engineering practices including Vibe Coding and other generative‑AI development accelerators.
  • Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions.
  • Mentor engineers and elevate engineering standards, code quality, and operational excellence within the POD.

Required Skills & Experience: 

  • Deep expertise in MarTech platforms with hands‑on experience in Adobe Campaign or similar orchestration tools.
  • Strong proficiency in big‑data technologies: Scala, Databricks, Spark SQL, Spark Streaming, Python.

 

  • Cloud engineering experience with Azure services, including Azure Data Factory.
  • Advanced system design capabilities including event‑driven architectures and distributed design patterns.
  • Experience with AI‑augmented development such as Vibe Coding or comparable frameworks.
  • Proven ability to lead engineering teams in a fast‑paced, cross‑functional environment.
  • Strong communication and stakeholder alignment skills with the ability to translate technical concepts into business impact.

Preferred Qualifications:

  • Experience in large‑scale marketing ecosystems (ESP, CDP, personalization engines, real‑time decisioning).
  • Background in high‑volume data processing supporting customer engagement or growth marketing.
  • Familiarity with DevOps practices including CI/CD, observability, and automated testing.
  • Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.

 

Skills

SQL
Scala
Azure
Databricks
Python

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