Software Engineer Advisor
About The Position
The Software Engineer Advisor provides leadership and initiative in coordinating the design, development, troubleshooting, and debugging of highly complex software programs for enhancements and new products. The role is responsible for highly complex concept design through the full development life cycle, and prepares and conducts systems programming tests that require interfacing and software testing. The position also coaches colleagues in less senior positions and performs other duties as assigned. Preferred areas of expertise include building LLM applications and autonomous agents; deploying and scaling applications on Google Cloud; modern UI frameworks and cloud modernization; production evaluation pipelines; enterprise platform integrations; modern Java and Spring Boot microservices; advanced RAG and vector databases; SQL optimization; and relevant Google Cloud certifications. A bachelor's degree in computer science, engineering, information systems, or a related field, or equivalent formal education, is listed as the minimum education. Minimum experience is four years of qualifying work experience in an information technology or engineering environment; a related advanced degree may offset the experience requirement. Strong written and verbal communication skills are required. The position may be domiciled anywhere in the United States. Remote work within the United States may be available based on business need. The posted pay range varies by location, with a USA range of $8,007.29 to $18,149.85 per month. Applicants must upload a current resume in Microsoft Word or PDF format and complete the job screening questionnaire by 5 p.m. EST on 11/11/26.
Requirements
- Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent formal education.
- Four years of qualifying work experience in an information technology or engineering environment; a related advanced degree may offset the related experience requirements.
- Strong written and verbal communication skills.
Nice To Haves
- At least two years building LLM applications and autonomous agents with LangGraph, LlamaIndex, or ReAct loops, with expertise in deterministic tool/function calling and structured JSON outputs.
- At least two years deploying and scaling on GCP, with expertise in Vertex AI, Cloud Run, Cloud Functions (2nd Gen), and Cloud SQL, and knowledge of GCP IAM, Workload Identity, and Secret Manager.
- Experience with React or Angular and migrating legacy .NET or Java architectures to modern cloud setups.
- Experience building production evaluation pipelines to measure hallucination, precision, and latency.
- Experience integrating agents with enterprise platforms such as Microsoft Teams, Slack, and internal ERP/CRM systems.
- Strong background in modern Java (17/21+) backend development using Spring Boot to build, optimize, and deploy high-throughput microservices and REST APIs to the cloud.
- Expertise in Advanced RAG, vector databases (Vertex AI Vector Search, pgvector), chunking strategies, semantic reranking, and hybrid search.
- Skill optimizing SQL queries and stored procedures to reduce compute and memory overhead, accelerate execution, and control cloud database costs during migrations.
- Google Cloud Certified: Professional Cloud Architect or Professional Machine Learning Engineer.
Responsibilities
- Provide leadership and initiative in coordinating the design, development, troubleshooting, and debugging of highly complex software programs for enhancements and new products.
- Take responsibility for highly complex concept design through the full development life cycle.
- Prepare and conduct systems programming tests requiring interfacing and software tests.
- Coach others in less senior positions.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
