Senior Level Forward Deployed Software Engineer Jobs
Senior level forward deployed software engineer jobs place experienced engineers in charge of technical direction, customer outcomes, and the cross-functional teams that deliver complex solutions in the field. Openings cover 24% remote and hybrid arrangements across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with employers like Databricks, Snorkel AI, and Provectus hiring at this level now.
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Showing 5 of 96+ Senior Level Forward Deployed Software Engineer jobs
Job Title: Forward Deployed Engineer
Location: Phoenix, AZ (Hybrid)
Duration: Long Term
Required Skills: Java Full Stack with Angular experience, AI
Job description:
Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
- Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
- Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).
- Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).
- Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns.
- Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations.
- Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades).
- Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies).
- REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting).
- Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning).
- Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling).
- Understands the AIDLC stages and where AI accelerates the SDLC.
- LLM application basics: prompting, RAG concept, tool/function calling.
- Effective day-to-day use of GitHub Copilot; writes simple eval cases.
- Solid LLM application patterns — RAG, tool/function calling, MCP basics.
- Spec-driven development; prompt and context-engineering fundamentals.
- Designs RAG and agentic solutions; advanced context engineering.
- MCP integrations across enterprise tools; defines eval strategy.
- Drives measurable developer-productivity outcomes from AI tooling.
Job Title: Forward Deployed Engineer
Location: Phoenix, AZ (Hybrid)
Duration: Long Term
Required Skills: Java Full Stack with Angular experience, AI
Job description:
Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ Years of relevant experience.
- Java/Spring Boot, GitHub + Copilot, Maven, PostgreSQL, Docker, Jira/Confluence, GCP fundamentals.
- Harness, GKE/Cloud Run, Kafka, SonarQube, Vertex AI basics; IBM Watsonx for Z (Track 3).
- Terraform, Camunda/Appian, Vertex AI, agentic frameworks (Agents + Skills, MCP).
- Java versions 8, 11, 17, 21, SOLID principles, OOP concepts, Design patterns, Functional interfaces Java migration patterns.
- Spring Framework – Core Concepts - Dependency Injection, MVC architecture, Controller responsibilities, Transaction management, Core Spring annotations.
- Spring Boot - (Spring Boot features, Core annotations, Dependency Injection, Application context, @SpringBootTest, Global exception handling, Configuration management, Multi-environment setup, ORM best practices, Security basics, Multiple DB connections, Version upgrades).
- Microservices Architecture (Monolith to microservices principles, Microservice patterns, Saga pattern, Orchestration vs Choreography, API Gateway, Distributed data consistency, Failure handling, Resilience strategies).
- REST APIs & Integration (REST lifecycle, Spring REST annotations, External API calls, Timeout & fallback handling, API performance troubleshooting).
- Caching & Performance Optimization (Redis caching, @Cacheable, Cache eviction strategies, Performance tuning).
- Security (Authentication & Authorization, Spring Security basics, Secure configuration management, Certificates & credentials handling).
- Understands the AIDLC stages and where AI accelerates the SDLC.
- LLM application basics: prompting, RAG concept, tool/function calling.
- Effective day-to-day use of GitHub Copilot; writes simple eval cases.
- Solid LLM application patterns — RAG, tool/function calling, MCP basics.
- Spec-driven development; prompt and context-engineering fundamentals.
- Designs RAG and agentic solutions; advanced context engineering.
- MCP integrations across enterprise tools; defines eval strategy.
- Drives measurable developer-productivity outcomes from AI tooling.
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Find JobsSenior Level Forward Deployed Software Engineer Job Market
Who's Hiring
- Databricks28
- Snorkel AI6
- Provectus4
- Adobe3
- OpenAI3
Top Industries Hiring
- Technology & Software76
- Consulting & Professional Services5
- Electronics & Hardware4
- Artificial Intelligence4
- Telecommunications3
Senior Level Forward Deployed Software Engineer Jobs: Frequently Asked Questions
How do I get a senior level forward deployed software engineer job?
Employers at this level look for engineers who have owned end-to-end deployments at customer sites, not just contributed to them. A strong candidate demonstrates a history of translating ambiguous customer problems into working technical solutions, experience leading junior engineers in the field, and the ability to operate autonomously across sales, product, and engineering stakeholders. Hands-on system design depth and clear communication with non-technical executives are the sharpest differentiators.
Which companies hire senior level forward deployed software engineers?
Companies hiring senior level forward deployed software engineers right now include Databricks, Snorkel AI, and Provectus, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from enterprise software vendors, defense and intelligence contractors, and high-growth SaaS companies that embed technical talent directly with strategic accounts.
Are there remote senior level forward deployed software engineer jobs?
Yes, though the role is inherently customer-facing, so fully remote openings are less common than in other software engineering tracks. About 24% of senior level forward deployed software engineer openings are remote or hybrid as of September 2026, with many positions structured as hybrid or travel-heavy rather than office-bound five days a week.
What makes a forward deployed software engineer role senior level?
Senior level forward deployed software engineer roles are defined by scope and ownership rather than task execution. At this level, engineers set the technical approach for a customer engagement, make architectural decisions in the field, mentor associate and mid-level engineers on deployments, and often influence product roadmap based on what they observe on-site. The expectation is that you resolve ambiguity independently and represent the company's technical credibility directly to enterprise or government customers.
Which industries hire the most senior level forward deployed software engineers?
Senior Level forward deployed software engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because they involve complex, high-stakes deployments where customers require embedded technical expertise rather than remote support.