Senior Level Forward Deployed Engineering Jobs
Senior level forward deployed engineering jobs place experienced engineers in technical ownership roles, setting architecture direction, driving customer outcomes, and leading the cross-functional teams that deliver complex deployments. Openings concentrate across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with 24% remote or hybrid availability, and employers like Databricks, Snorkel AI, and Provectus hiring at this level now.
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Showing 5 of 96+ Senior Level Forward Deployed Engineering 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 Engineering 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 Engineering Jobs: Frequently Asked Questions
How do I get a senior level forward deployed engineering job?
Senior level forward deployed engineering roles go to candidates who can demonstrate ownership of past deployments, not just participation in them. Employers at this level look for engineers who have led customer-facing implementations end to end, resolved complex integration failures under pressure, and mentored junior engineers through delivery. A portfolio of measurable customer outcomes and clear technical decision-making history gives candidates the strongest edge.
Which companies hire senior level forward deployed engineerings?
Companies hiring senior level forward deployed engineerings 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 concentrate among enterprise software vendors, defense contractors, and infrastructure-scale technology firms that require experienced engineers to own high-stakes customer deployments directly.
Are there remote senior level forward deployed engineering jobs?
Yes, though the role's on-site customer requirements mean fully remote positions are less common than in other engineering disciplines. About 24% of senior level forward deployed engineering openings are remote or hybrid as of September 2026, with hybrid arrangements typically allowing remote work between customer engagement windows and travel periods.
What makes a forward deployed engineering role senior level?
A senior level forward deployed engineering role is defined by scope and ownership rather than task execution. Senior engineers own the full deployment lifecycle for strategic accounts, make architectural decisions independently, and are accountable for customer outcomes rather than individual deliverables. They also mentor junior engineers, contribute to pre-sales technical conversations, and often shape how the team approaches new deployment patterns across accounts.
Which industries hire the most senior level forward deployed engineerings?
Senior Level forward deployed engineering 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 their customers operate complex, high-stakes environments where senior engineers must integrate enterprise software or infrastructure solutions with existing systems and take ownership of outcomes that directly affect business operations.