Jobs at Calliere

Senior backend engineer to architect and implement distributed, cloud-native backend services and public APIs that ingest and normalize high-volume IoT/sensor data. Lead design and deployment of resilient ingestion pipelines, workflow orchestration, authentication, and monitoring in AWS. Interface with enterprise clients, shape product and architecture, and drive engineering standards and automation.

Lead and grow the bioinformatics function by mentoring a senior team, defining strategy and processes, partnering with product and engineering, translating biological insight into production-grade tools, and driving hiring and standards for large-scale genomics workflows.

Own and ship major parts of a core web application for power users. Build high-performance, stateful interfaces for search, transactions, and workflows. Collaborate with backend, product, and design to define and deliver end-to-end features with full ownership.

Own and improve backend services for an AI-native learning platform: build Python/Node.js services, design serverless/cloud-native architectures, implement event-driven workflows and advanced NoSQL models, integrate LLM-based features (RAG, embeddings, vector search), ensure production reliability, observability, testing, and frontend API integrations while collaborating in a cross-functional remote team.

Design, build, and operate scalable, high-performance software for real-time financial data feeds. Lead architecture discussions, collaborate with operations, ensure data quality, research technologies, and drive end-to-end projects.

Embed with client teams to design, build, and ship AI-driven integrations and automations. Responsibilities include prompt and retrieval design, prototyping with no-code tools and custom Python/JavaScript, hardening prototypes for production (reliability, logging, monitoring, access control), handling sensitive data, producing runbooks/specs, and collaborating with platform and engagement leads to drive adoption and reusable patterns.

Lead and grow a distributed engineering team to design, build, and operate a cloud-native data platform. Guide architecture, delivery planning, and vendor relationships while contributing hands-on to code and design reviews. Align technical execution with product priorities and ensure security, performance, and reliability of analytics and data systems.

Architect and build core distributed systems for high-throughput real-time and batch data ingestion, processing, and storage. Ensure fault-tolerance, scalability, and strong query performance for time-series and spatial data. Develop automated tooling for data quality and lineage, collaborate on reusable abstractions, and write production-ready code (Java/Python).

Embed as the senior technical lead inside portfolio companies to discover business problems, architect and ship production AI systems (model/provider selection, retrieval/grounding, guardrails), own reliability and deployment end-to-end, mentor engineers, and convert solutions into reusable patterns and platform assets.

Develop and run reproducible analysis pipelines for NGS and other omics data, perform QC, integrate and harmonize datasets, generate cohort summaries and visualizations, and communicate results to collaborators.

Build and run the full technical recruiting function for engineering roles: source, screen, interview design, ATS and metrics ownership, pipeline forecasting, and close senior/staff engineers with complex equity offers while partnering with CEO and CTO.

Senior backend engineer building secure, scalable microservice infrastructure. Translate product requirements into technical designs, implement high-availability services, design APIs and schemas, embed security across app/API/infrastructure layers, build observability (metrics, alerts, tracing), collaborate with product/design, and participate in hiring while working remotely.

Lead end-to-end experimentation and analytics for the fintech product: design A/B and multivariate tests, measure impacts on behavior, unit economics, and risk; turn model outputs into business rules; define metrics and dashboards; partner with product, finance, risk, and engineering; and communicate results to non-technical stakeholders.

Design and build a high-performance consumer marketplace platform. Implement onboarding, search, booking/ordering flows, and lifecycle management. Create third-party integrations, contribute to frontend architecture and backend services, and partner with product and design. Own features end-to-end from concept through deployment while ensuring code quality and scalable data models.

Design, build, and operate scalable backend systems and APIs across a distributed service-oriented architecture. Own features end-to-end, partner with product stakeholders, ship shared infrastructure, and maintain high code quality. Participate in an on-call rotation and collaborate in a distributed North American team to deliver reliable, high-performance user experiences.

Design and build backend systems and internal tooling for AI-native products: secure data access for agents, agent orchestration, evaluation/observability for non-deterministic outputs, performance and latency optimization, and end-to-end feature ownership from concept to production.

Embed with client teams to design, build, and productionize AI-driven workflows and automations. Own workstreams from prototype to reliable production: prompt design, retrieval, model selection, integrations, error handling, monitoring, and documentation to drive measurable operational impact and reusable platform patterns.

Lead technical POCs and pre-sales engagements to turn proofs-of-concept into production deployments. Troubleshoot complex integrations (identity, security, networking, observability), design custom solutions, run onboarding and enablement, and act as the technical lead during sales to ensure successful rollout and adoption.

Build and maintain platform systems that provision, secure, and observe isolated agent execution environments. Design reusable primitives for queues, jobs, locks, and service-bus mechanics. Extend Pulumi-based IaC, work with containers, Linux internals, storage, permissions, logging, and runtime debugging. Ship reliable, maintainable infrastructure-driven application code and collaborate in a small cross-functional team.

Design, implement, and maintain scalable, fault-tolerant backend services for real-time data synchronization and streaming. Optimize latency, throughput, and reliability, guide multi-region and disaster-recovery architecture, own projects from concept to production, and improve observability, automation, and incident response.