Senior Backend Engineer II – Data, Agentic Context Platforms

Emploi pas sur LinkedIn

🔥 il y a 1 heure

🇺🇸 États-Unis – Télétravail

💵 $190 409 - $224 011 / an

⏰ Temps Plein

🟠 Senior

🔙 Ingénieur Back-end

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Fetch

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501 - 1000 employés

Fondée en 2013

👥 B2C

📣 Marketing

🔥 Financement dans la dernière année

💰 Later Stage VC en 2026-05

B2C • Marketing

Fetch est une application mobile grand public de récompenses qui permet aux utilisateurs de scanner leurs tickets de caisse pour gagner des points échangeables contre des cartes cadeaux et d'autres récompenses. L'application attribue des points pour les achats du quotidien (courses alimentaires, carburant, repas, jeux, etc. ), propose des jeux et des promotions intégrés, ainsi qu'une offre destinée aux entreprises (Fetch for Business) et une extension de navigateur. Fetch indique compter des millions de personnes gagnant des récompenses chaque mois, des millions d'avis sur l'application et plus d'un milliard de dollars de récompenses distribuées. Le service mise sur la simplicité du scan des tickets de caisse, l'accumulation de points et des récompenses accessibles aux consommateurs.

Description

• Design, build, and operate scalable backend services and APIs that ingest, transform, retrieve, and serve context to agents and product applications • Own batch and real-time data flows, including event ingestion, transformation, indexing, storage, and low-latency serving • Develop reusable agent-context capabilities including connectors, context assembly, memory and state interfaces, metadata and provenance, authorization-aware retrieval, and evaluation signals • Define data models, schemas, and contracts, implementing validation, lineage, freshness checks, and observability • Select storage and retrieval patterns across operational databases, data warehouses and lakes, search systems, caches, and graph or vector technologies • Establish SLIs and SLOs, monitor latency and correctness, plan capacity, manage costs, and design graceful failure and recovery paths • Translate ambiguous context needs into durable platform abstractions and lead technical designs through implementation, rollout, measurement, and adoption • Improve engineering velocity through SDKs, tools, documentation, deployment patterns, and paved paths • Mentor engineers and raise the bar for backend architecture, data quality, operational excellence, and responsible use of context

🎯 Exigences

• 8+ years of professional software engineering experience, including ownership of production backend or distributed systems at meaningful scale • Strong programming skills in at least one modern language such as Go, Python, Java, or Rust • Proficiency in SQL and data modeling • Experience designing and operating APIs, asynchronous workflows, and data-intensive systems with demanding reliability, scalability, latency, and data-quality requirements • Experience with streaming or messaging systems, batch processing, operational databases, and cloud-based data platforms • Sound technical judgment regarding data consistency, schema evolution, privacy and access control, failure handling, performance, and cost • Experience with AWS, Infrastructure as Code tools such as Terraform or CloudFormation, CI/CD, and modern software delivery practices • Ability to lead ambiguous technical problems from architecture through adoption • Strong communication and collaboration skills, including presenting technical designs, constructively challenging decisions, aligning cross-functional partners, and mentoring engineers • A bachelor’s or advanced degree in Computer Science, Engineering, Data Science, Mathematics, or a related field—or equivalent practical experience

🏖️ Avantages

• Equity for full-time employees • 401(k) with dollar-for-dollar matching up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pet coverage • $10,000 per year in education reimbursement • Employee Resource Groups and Inclusion Council participation • Flexible PTO • 9 paid holidays • Year-end week-long break • 14 weeks of fully paid parental leave • 6 additional weeks of paid childbirth recovery leave for birthing parents • Flexible return-to-work schedule • One-time $2,000 Calvin Care Cash incentive for employees welcoming new family members • Flexible work environment, including fully remote work anywhere in the US for US-based roles • Hardware and software equipment for home working

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