---
title: 'Senior Graph Engineer (Python) at Evolver'
canonical: 'https://feeny.ai/job/senior-graph-engineer-python-evolver-palo-alto-zkm9hgd4mj3m'
type: 'job'
last_seen: '2026-11-04'
---

# Senior Graph Engineer (Python) at Evolver

- **Company:** Evolver
- **Location:** Palo Alto, CA
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-04
- **Apply:** https://job-boards.greenhouse.io/evolver/jobs/4478826009

## Job description

About Us: We are an innovative AI startup focused on transforming professional services through Generative AI and deep domain expertise. Our agent-driven solutions automate complex workflows, engaging humans when needed to maximize efficiency and accuracy. Join us to build the knowledge infrastructure that connects enterprise information and powers intelligent applications.

Role Overview: We are looking for an experienced Python engineer with deep expertise in graph technologies and knowledge representation to join our Data & Knowledge team. As a Senior Graph Engineer, you will lead the design, development, and deployment of graph-based systems that connect structured and unstructured data, support complex queries, and improve AI retrieval and reasoning. You will work closely with AI engineers and domain experts to turn enterprise information into reliable, actionable knowledge.

Key Responsibilities:

- Graph Architecture and Modeling: Design and build scalable knowledge graphs, defining schemas, ontologies, entities, and relationships that reflect complex business domains.
- Data Integration: Build pipelines that extract, normalize, and connect data from documents, databases, and external systems, with support for incremental updates.
- Entity Resolution and Data Quality: Implement entity matching, deduplication, relationship validation, and provenance tracking to maintain trustworthy graph data.
- Graph Retrieval and AI Integration: Develop graph-based retrieval capabilities and integrate them with vector search, RAG systems, and AI agents.
- Performance and Reliability: Optimize graph queries, indexing, and storage; implement testing, monitoring, access controls, and recovery practices.
- Python Development: Develop production-grade services, APIs, and pipelines for graph ingestion, querying, and integration with enterprise applications.

Qualifications:

Experience:

- 6+ years of professional software engineering experience, with strong expertise in Python.
- 2+ years of hands-on experience developing graph-based applications, knowledge graphs, or graph data platforms
- Ideally, experience using knowledge graphs in AI/agentic applications to support graph or hybrid Graph-RAG retrieval

Education:

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Technical Skills:

- Advanced proficiency in Python and libraries like NetworkX, Pandas, NumPy, or similar.
- Strong understanding of graph data modeling, graph traversal, indexing, and query optimization.
- Hands-on experience with a graph database such as Neo4j, Amazon Neptune, or Azure Cosmos DB for Apache Gremlin.
- Proficiency in a graph query language such as Cypher, Gremlin, or SPARQL, with an understanding of property graph or RDF models.
- Experience building data ingestion and transformation pipelines across structured and unstructured sources.
- Familiarity with entity resolution, ontology design, data lineage, and graph data quality practices.
- Familiarity with knowledge graphs in AI applications, including GraphRAG, hybrid graph and vector retrieval, or agent tools, is a plus.

Soft Skills:

- Excellent communication skills, including the ability to explain graph concepts and technical tradeoffs to nontechnical stakeholders.
- Strong analytical and problem-solving skills, with attention to data quality and system reliability.
- Ability to own projects from design through deployment and collaborate across disciplines.
- Comfortable navigating ambiguity and evolving priorities in a fast-paced startup.

## Benefits

- Competitive Compensation: Tailored to your experience and skill set.
- Flexible Work Arrangements: Hybrid working model for work-life balance.
- Career Growth: Opportunities for professional development and technical leadership.
- Innovative Culture: Build technologies that connect enterprise knowledge and power the next generation of AI applications.

## About Evolver

## Company Overview
- **One-liner**: Evolver is a cybersecurity and digital transformation leader that provides advanced cyber defense, secure data environments, and intelligent software solutions for federal and commercial enterprises.
- **Entity Type**: Private (no disclosed funding)
- **Headquarters**: Reston, Virginia, USA
- **Founded**: 2000
- **Founders**: Not publicly named

## Core Business
- **Primary industries**: Cybersecurity, Digital Transformation, Information Technology Services, eDiscovery & Legal Services
- **Target customers**: B2G (federal agencies such as DoD, DHS, USDA, CMS, NIH) and B2B (Fortune 500 commercial enterprises)
- **Mission statement** (from their vision): To set the standard for excellence in Cybersecurity and Digital Transformation—empowering the nation’s most critical missions and enterprises to operate with confidence in unprecedented environments.

## Products & Services
Evolver delivers integrated solutions across several domains:

- **Cybersecurity**: Advanced cyber defense, proactive threat containment, and risk management to safeguard critical systems.
- **Digital Transformation**: Modernization of IT infrastructure using AI, automation, cloud, and human-centered innovation.
- **Managed Data & Technology**: Managed IT services to keep infrastructure and legal workflows secure and optimized.
- **eDiscovery & Legal Services**: Technology-enabled legal support for eDiscovery and document management.
- **Federal Solutions**: Tailored offerings for national security, defense, and civilian agencies (e.g., CMS-HIOS, USCIS-SOC, AOC programs).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual revenue is not publicly reported; estimated employee count of “more than 500” nationwide (as per official site)
- **Notable Investors/Partners**: Longstanding partnerships with the Department of Defense, Department of Homeland Security, Department of Agriculture, Centers for Medicare and Medicaid Services, National Institutes of Health, and Fortune 500 customers
- **Growth Signals**:
  - 93% employee retention rate
  - Top 20% of all CPARS ratings on major federal programs
  - ISO 9001, ISO/IEC 27001, ISO 20000-1 certified; CMMI SVC/DEV ML3 appraised
  - Operates an Innovation Center and Catalyst Programs

## Competitive Advantages
- **25+ years of mission-critical federal experience** with deep domain expertise
- **Exceptional retention and employee expertise** (93% retention, top technologists and AI experts)
- **Strong certifications and compliance** (ISO, CMMI) enabling access to sensitive government contracts
- **Proven CPARS track record** consistently in top 20% across multiple programs

## Strategic Focus
- **Current priorities**: Accelerating AI integration, strengthening cybersecurity posture, expanding digital transformation offerings for both federal and commercial clients
- **Innovation engine**: Maintains an internal Innovation Center and Catalyst Programs to stay ahead of evolving threats and opportunities

## Why Work Here
- **Culture**: Open, collaborative, trust-based environment emphasizing innovation and “bold thinking, relentless execution”
- **Diversity & Inclusion**: Formal commitment to creating an inclusive workplace; equal opportunity employer
- **Growth & Development**: Tuition reimbursement, continuing education, paid certification support, Communities of Interest/Practice
- **Benefits**: Paid time off (vacation, sick, holidays, bereavement, civic duty), medical/dental/vision insurance, 401(k) with pre-tax and Roth options, paid parental leave, military leave, HSA/FSA, pet insurance, employee recognition programs
- **Work Environment**: Not explicitly stated as remote or hybrid; typical for a federal contractor (likely hybrid with on-site requirements near Reston, VA, and client sites)
- **Community**: Evolver CARES program for volunteerism and charitable giving

## Sources
1. [evolverinc.com](https://evolverinc.com/) – Homepage
2. [evolverinc.com/about](https://evolverinc.com/about/) – About page (history, certifications, vision)
3. [evolverinc.com/careers](https://evolverinc.com/careers/) – Careers page (benefits, culture, values)
4. [linkedin.com/company/evolver](https://www.linkedin.com/company/evolver) – LinkedIn company page (employee count, revenue estimate)

## Other roles at Evolver

- [Senior Full-Stack Engineer — Application Experiences (Vue/React, Python)](https://feeny.ai/job/senior-full-stack-engineer-application-experiences-vue-react-python-evolver-kqa845fpmndp) — Palo Alto, CA
- [Senior Full-Stack Engineering Lead — Application Experiences](https://feeny.ai/job/senior-full-stack-engineering-lead-application-experiences-evolver-palo-alto-ckasaxb9rf9k) — Palo Alto, CA
- [Senior GenAI Engineering Lead — Planning & Execution (Python)](https://feeny.ai/job/senior-genai-engineering-lead-planning-execution-python-evolver-palo-alto-j1gsx47yahs4) — Palo Alto, CA
- [Technology Procurement & Commercial Operations Lead](https://feeny.ai/job/technology-procurement-commercial-operations-lead-evolver-remote-nhttswcmnyyn)
- [Research Scientist - Information Theory and Statistical Inference](https://feeny.ai/job/research-scientist-information-theory-and-statistical-inference-evolver-palo-rsw7wjz2gqmf) — Palo Alto, CA
- [Research Scientist - Autonomous Systems](https://feeny.ai/job/research-scientist-autonomous-systems-evolver-palo-alto-8kjpd74n08k6) — Palo Alto, CA
- [Enterprise Platform Architect](https://feeny.ai/job/enterprise-platform-architect-evolver-palo-alto-fd6vzecewrbw) — Palo Alto, CA
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- [Product Solutions Architect](https://feeny.ai/job/product-solutions-architect-evolver-palo-alto-jse14w9j6baa) — Palo Alto, CA