Lead full‑stack development for Nutrium’s web platform, collaborating with product and design teams to deliver high‑quality features for dietitians and patients.
Compensation
Gross annual salary: €25.200 - €39.200, depending on your experience.
Responsibilities
Design, develop, and improve features in the web platform
Collaborate with Product Managers, Designers, and Engineers to deliver high‑quality and on‑time product features
Participate in code reviews and contribute to a culture of quality and continuous improvement
Investigate, debug, and fix issues to ensure a reliable user experience
Learn from and support senior developers, growing skills in full‑stack development
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field
Build and lead data platform services for Shield AI’s AI Factory, designing APIs, dataset versioning, search, and metadata systems to support machine‑learning workflows.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design and implement data APIs and catalog services
Integrate LanceDB for indexing and search
Create APIs for dataset versioning and access control
Track data provenance and changes
Design schema validation, compatibility, and migration mechanisms
Design and build internal infrastructure that powers the customer-facing product, including shared APIs, services, and infrastructure for accounts, access, messaging, payments, and data hosting.
Responsibilities
Design and develop shared services and APIs
Maintain databases and infrastructure reliability
Improve build, test, and deployment processes
Own deployment, monitoring, debugging, and reliability
Collaborate with product and engineering teammates to translate requirements into reliable systems
Lead engineering execution for enterprise AI platform Nexus, shaping architecture, building team, and delivering production B2B software.
Responsibilities
Own core product engineering, translating priorities into technical plans and shipping capabilities across backend, orchestration, data workflows, and UX
Establish architecture and reliability, defining service boundaries, workflow execution, observability, and maintainable interfaces
Build AI engineering discipline, evaluating agent behavior, validating assets, handling failures, and preserving human review
Recruit and develop exceptional software, data, and AI engineers, setting ownership and high technical standards
Establish practical planning, code review, testing, release, and incident practices to support fast, dependable shipping
Senior Software Engineer responsible for designing, building, and scaling the core backend systems and microservices that power the freight and LTL carrier network.
Responsibilities
Own the core applications and algorithms that power freight and LTL carrier network
Design, build, and ship critical backend systems for carrier profiles, fleet management, schedules, and onboarding workflows
Architect marketplace mechanics for automated dispatch, matching shipments to carriers, scoring assignments, and managing offer expirations
Integrate routing, pricing, and payout rules to ensure on-time shipments and accurate financial pipelines
Debug production issues, ship API endpoints and database migrations, and operate background jobs and event‑streaming workflows
The EDGE Discovery team at Crunchyroll is focused on powering content discoverability experiences across the platform. We build and evolve the backend systems that enable anime fans worldwide to seamlessly discover, browse, search, and engage with Crunchyroll’s catalog.
Compensation
$203,400—$235,000 USD
Responsibilities
Design, develop, and evolve scalable backend systems that power search, recommendations, personalization, and content discovery experiences across Crunchyroll platforms
Lead architectural decisions for distributed systems with a focus on scalability, low latency, resiliency, observability, and operational excellence
Build and optimize APIs, metadata services, indexing pipelines, ranking systems, and recommendation infrastructure that support high-throughput user experiences
Partner closely with product, machine learning, data, and platform teams to improve discovery relevance, personalization quality, and experimentation capabilities
Drive backend platform improvements that enhance developer productivity, deployment safety, and service reliability
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