Senior Backend Engineer

Vic.ai

Senior Backend Engineer developing AI integrations for Vic.ai, focusing on building and operating backend systems in a remote role. Collaborate in an innovative environment redefining finance operations using AI.

Posted 7/8/2026full-timeRemote • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating backend systems using TypeScript/Node.js, Elixir/Phoenix, and Python, with a strong focus on API integrations and operational reliability. Proven ability to manage the full lifecycle of services from development to production, ensuring performance monitoring and adherence to IT security principles.

Highest-signal resume keywords

TypeScript/Node.js DevelopmentAPI Integration (REST, SOAP, OData, OAuth2)Queue-Based Systems (Idempotency, Retries, Dead-Lettering)Performance Monitoring and LoggingAWS Deployment and Operations

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

TypeScriptNode.jsElixirPhoenixPythonPostgreSQLAPI DesignDistributed SystemsOperational ReliabilityDatabase Optimization

Soft Skills

OwnershipIndependent WorkProblem-SolvingFast-Paced Adaptability

Tools & Technologies

AWSLLMsHTTP APIsQueue-Based WorkersMonitoring Tools

Certifications & Qualifications

Bachelor’s Degree in Computer EngineeringMaster’s Degree in Computer Science

Industry Keywords

ERP SystemsAI-Assisted ToolingSecure Development PracticesPerformance MonitoringObservability

Tech Stack

Tools & technologies

AWSDistributed SystemsElixirERPJavaScriptNode.jsPostgresPythonSOAPTypeScript

About the role

Key responsibilities & impact

Build and operate integrations that move data bidirectionally between customers' ERP systems and Vic.ai.
Develop backend services in TypeScript/Node.js (HTTP APIs, queue-based workers, PostgreSQL).
Design integrations against third-party APIs (REST, SOAP, OData, OAuth2) with explicit, typed contracts.
Make jobs idempotent and replay-safe, including retries, rate limiting, dead-lettering, and correlation/audit logging.
Own services from development through production, including deployment on AWS, monitoring, and issue resolution within defined SLAs.
Contribute to the AI-assisted tooling that speeds up customer onboarding.
Support adjacent backend domains as needed (Public API and core services in Elixir/Phoenix, plus Python services).
Contribute to architectural decisions and long-term platform scalability.
Identify, troubleshoot, escalate, and resolve issues related to performance, accuracy, and system stability.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field (preferred).
5+ years building and operating production backend systems, primarily in TypeScript/Node.js, Elixir/Phoenix, Python. Strong backend engineers from other stacks who are eager to work in TypeScript are welcome.
Experience building on top of LLMs.
Experience integrating with third-party APIs (REST, SOAP, OData, OAuth2, webhooks).
Solid grasp of queue-based and distributed systems: idempotency, retries, dead-lettering, and backpressure.
Proven experience taking systems from development to production and operating them using best practices.
Strong understanding of performance monitoring, logging, observability, and operational reliability.
Experience scaling and optimizing relational databases.
Exposure to IT security principles and demonstrated adherence to secure development practices.
Ability to work independently, take ownership, and operate effectively in a fast-moving environment.

Benefits

Comp & perks

Build real AI systems that operate at scale in production.
Own critical backend infrastructure that directly impacts customers.
Work alongside experienced engineers, data scientists, and product leaders.
Tackle complex technical challenges with autonomy and accountability.
Be part of a company redefining how finance teams operate, using AI that actually works.