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Matrix Global Services

Solution Engineer

Reposted 13 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Solutions Engineer will analyze complex legacy systems, support customer implementations, and apply AI techniques to enhance knowledge infrastructure in regulated environments, particularly in BFSI.
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Description

Matrix is seeking a Solutions Engineer to help design, implement, and support a next‑generation, governed knowledge infrastructure for complex legacy systems. This role sits at the intersection of systems analysis, customer engineering, and applied AI, supporting large, regulated enterprises—particularly in banking, financial services, and insurance (BFSI).

You will work with opaque, decades‑old codebases (e.g., mainframe and legacy languages) and help transform them into structured, queryable knowledge layers that both humans and AI systems can reason over reliably and safely.

This role is well‑suited for individuals who thrive in ambiguity, enjoy complex problem‑solving, and are comfortable operating as a trusted technical advisor to senior enterprise stakeholders.

Key Responsibilities

  • Analyze and troubleshoot complex, legacy system environments and enterprise software implementations
  • Support customer onboarding, implementation, and post‑deployment troubleshooting
  • Diagnose issues methodically, identify root causes, and document findings clearly
  • Collaborate with product, engineering, and customer teams to resolve issues and improve system reliability
  • Translate complex technical concepts into clear, actionable guidance for non‑technical stakeholders
  • Apply large language models (LLMs) and prompt‑engineering techniques to solve real‑world system and knowledge problems
  • Support installations and environments by navigating logs, services, and runbooks as needed

Required Qualifications

  • Strong ability to operate in ambiguous, ill‑defined problem spaces
  • Proven skill in breaking complex systems into manageable components
  • Root‑cause focused mindset rather than symptom‑based troubleshooting
  • Comfortable learning as you go and proactively finding answers
  • Problem‑Solving & Analytical Skills

Customer & Systems Experience

  • 3–5 years of experience in customer‑facing technical roles (e.g., Solutions Engineering, Implementation Consulting, L2/L3 Support, Systems Integration)
  • Experience with complex B2B enterprise software environments
  • Ability to reproduce issues, document bugs clearly, and communicate with engineering teams
  • Ability to read and understand code (Python, JavaScript, SQL, or similar)

Preferred:

  • Exposure to legacy or mainframe technologies (COBOL, PL/I, JCL)
  • Familiarity with graph databases or query languages (e.g., Neo4j, Cypher)

AI & Prompt Engineering

  • Hands‑on experience with multiple LLM platforms (e.g., ChatGPT, Claude, Gemini)
  • Strong understanding of prompt design techniques (few‑shot, chain‑of‑thought, structured outputs, multi‑step reasoning)
  • Ability to select and adapt models based on task requirements
  • Experience solving non‑trivial, real‑world problems using LLMs
  • Interest or experience in agentic workflows, tool‑calling, and evaluation loops
  • Understanding of context limits, token usage, grounding, and hallucination risks

Client & Communication Skills

  • Professional presence suitable for senior enterprise and BFSI stakeholders
  • Clear, concise written and verbal communication
  • Calm and effective under pressure, including production‑level issues
  • Ability to balance patience as an educator with authority as a technical expert

Technical Fluency

  • Comfortable working in Linux command‑line environments
  • Foundational knowledge of Docker and Kubernetes
  • Basic networking understanding (ports, DNS, TLS, firewalls, proxies)
  • Familiarity navigating at least one major cloud platform (AWS, Azure, or GCP)

Preferred:

  • Experience working at a B2B technology vendor or consulting firm
  • Experience with regulated enterprise environments and review cycles
  • Demonstrable portfolio related to AI, prompt engineering, or agent systems

Matrix is a global, dynamic, and fast‑growing technology services and consulting company with over 17,000 employees worldwide. Founded in 2001, Matrix has grown through significant organic expansion and strategic acquisitions, executing some of the largest and most impactful technology projects in the market.

We specialize in the design, development, and implementation of advanced technologies, software solutions, and digital products. Our services include infrastructure and consulting, IT outsourcing and offshore delivery, training and assimilation programs, and acting as a trusted implementation and delivery partner for the world’s leading software vendors.

With deep expertise across both the private and public sectors—spanning Finance, Telecom, Healthcare, Hi‑Tech, Education, Defense, and Security—Matrix serves a strong customer base in Israel alongside a continuously expanding global client portfolio.

At Matrix, our people are at the heart of our success. We are a community of talented, creative, and dedicated professionals who are passionate about innovation and excellence. We actively attract, develop, and retain top talent, recognizing that every employee’s contribution is critical to our continued growth and future success.

Matrix’s success is built on a challenging and engaging work environment, competitive compensation and benefits, and meaningful career development opportunities. We foster a diverse, inclusive culture that encourages collaboration, continuous learning, and growth—together.

Join the winning team. Be challenged, grow your career, and enjoy the journey in a highly respected global organization.

To learn more, visit: www.matrix-ifs.com

 

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees, providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.

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