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Technical Solutions Engineer

💼 Full-time🗓 2026-06-24

Core

Technical bridge between enterprise clients and engineering teams, designing solution architectures for AML, KYC, and payment flow integrations.

Role type

Senior Technical Solutions Engineer

Builds

Enterprise integration architectures and documentation for financial compliance and payment systems

Domain

Financial services, fintech, regulatory compliance (AML/KYC)

Deliverable

production ML models | product features | dashboards & analysis | client delivery | infrastructure

Required skills

Systems thinking, API design, SQL, Python/JavaScript/Bash scripting, technical documentation, stakeholder management

Preferred skills

Backend engineering instincts, experience with mainframes or Salesforce, knowledge of financial data structures

Technologies

REST APIs, OpenAPI, SQL, Python, JavaScript, Bash, Go, AWS

Responsibilities

Gather integration requirements from client engineering teams, design solution architectures against APIs, translate client needs into well-scoped tickets, investigate data issues using SQL and scripts, maintain integration knowledge base

Seniority

Senior, hands-on IC

Rewrite
## About the role Sigma360 is hiring a Technical Solutions Engineer to be the technical bridge between our enterprise clients and our product and engineering teams. You'll work directly with client engineering teams to gather integration requirements, design solution architectures against our APIs, and guide complex implementations involving AML, KYC, and payment flows from first whiteboard through production go-live. This role is heavy on client conversations, architecture work, integration documentation, and ticket writing — lighter on shipping production code. It's built for an engineer with strong systems thinking and clear, confident communication, who works across engineering, product, customer success, and sales to make every client engagement faster and cleaner than the last. ## About Sigma360 Sigma360 is an MIT-incubated, venture-backed, Series B data and analytics company helping financial institutions, fintechs, and governments manage entity risk. We power name screening, sanctions compliance, adverse media monitoring, KYC investigations, and risk research for some of the world's most demanding compliance teams. We value curiosity, clarity of thought, and pragmatic execution. ## Why This Role Matters Our enterprise integrations touch mission-critical systems — AML platforms, payment rails, KYC stacks, mainframes, Salesforce, custom Java services. The architecture decisions made during integration determine whether a client reaches value in weeks or in quarters, and whether their engineering team trusts us as a partner or treats us as a vendor. You are that decision-maker on the Sigma side. The architecture you whiteboard, the friction you convert into well-scoped tickets, and the documentation you produce all compound across every client who comes after. If you have backend engineering instincts, code competently, and have come to realize you do your most impactful work in conversation and in writing rather than alone in a backend codebase — this role is built for you. ## What You'll Do - Own the client technical relationship end-to-end — requirements gathering, integration architecture, and implementation through production go-live across high-touch engagements involving anti-money laundering systems, payment systems, and various financial integrations - Whiteboard integrations with client engineering teams: data flows, failure modes, idempotency, contract versioning, observability — and defend your decisions in the room - Translate client needs and integration friction into well-scoped tickets and clear input for the product and engineering roadmap - Investigate with SQL and scripts — read logs, audit client data, debug integrations, occasionally migrate data into new structures, automate recurring work - Own the integration knowledge base — API references, integration guides, architecture templates, sample code ## Tech Stack - REST APIs (OpenAPI-described) - SQL on production relational databases - scripting in Python, JavaScript, or Bash - Go backend - AWS
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