Sr. Software Engineer, Data Platform (MANTL)

JobgetherBrussels (Firmensitz, recherchiert)Job.bopublished 09/30/2026
Must-have:TypeScriptReactNext.jsGraphQLAWSGoogle CloudCloudFrontendBackendFullstackAIFinTechSecurityRemote
Nice-to-have:Node.js

Accountabilities Own the end-to-end implementation of Data Platform features, including technical design, development, deployment, monitoring, and production support.

Translate customer needs into practical technical designs and incremental delivery plans.

Build and maintain REST APIs that provide marketing performance and other platform data to customer business intelligence tools.

Develop backend services and data flows that move information through queues, databases, APIs, and customer-facing interfaces.

Create intuitive self-service interfaces that allow nontechnical users to configure complex data egress workflows.

Develop webpage automations that capture and analyze aggregate event data while maintaining appropriate privacy and security controls.

Design reliable data models, API contracts, and system integrations with appropriate validation, error handling, and observability.

Collaborate with data and software engineers on the development and evolution of new Data Platform products.

Write readable, maintainable, and well-tested code; participate in constructive code reviews and document technical decisions.

Communicate technical proposals, tradeoffs, implementation progress, and design decisions clearly through written documentation and live discussions.

Participate in an on-call rotation and incident response, investigate root causes, and implement improvements to operational readiness and system reliability.

Use automated testing and secure, human-reviewed AI tools to improve development efficiency and delivery quality.

Requirements

3–6 years of professional software engineering experience focused on backend or full-stack application development, including production services or APIs.

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent relevant professional experience.

Proven experience building, deploying, and maintaining production services or APIs.

Strong TypeScript proficiency and solid backend development experience, with the ability to contribute to front-end functionality when needed.

Working knowledge of REST APIs, asynchronous data flows, and relational SQL data modeling.

Ability to write readable, tested code while addressing reliability, security, observability, and operational requirements.

Experience developing and operating software in a cloud environment such as GCP or AWS.

Strong written and verbal communication skills, including the ability to explain and defend technical decisions.

Demonstrated ability to own features through delivery while collaborating effectively across engineering, data, and product teams.

Preferred experience building data products or working in fintech, banking, or another regulated industry.

Familiarity with technologies such as NestJS, TypeORM, PostgreSQL, Redis, Kafka, BullMQ, pnpm, or Turborepo is a plus.

Familiarity with GraphQL, React, Relay, Next.js, developer-facing products, or APIs is beneficial.

Familiarity with data quality, observability, compliance-related systems, or core banking software is a plus.

Ability to participate in on-call responsibilities and respond effectively to production incidents.

Benefits

Salary range of $132,000–$165,000 per year .

Remote-first work environment within the United States.

Unlimited paid time off.

401(k) plan with employer matching.

Opportunity to work on data and software products serving financial institutions.

Collaborative environment spanning software engineering, data, product, and design.

Opportunity to work with modern cloud technologies, APIs, asynchronous systems, and data platforms.

Equal opportunity workplace committed to a diverse and inclusive environment.

Employment sponsorship is not currently available; candidates must be eligible to work full-time in the United States.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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