Jobs at Calliere

Design, develop, test, maintain, and support enterprise software applications, APIs, services, integrations, and user-facing functionality. Translate requirements into technical designs, write maintainable code, participate in Agile planning and code reviews, troubleshoot production issues, and collaborate with analysts, QA, architects, and operations teams. Contribute to automated testing, technical documentation, production support, and continuous engineering improvement.

Develop secure, scalable, production-ready AI applications, services, and APIs. Integrate machine-learning and generative AI models into enterprise systems, build data and retrieval workflows, develop prompts, and implement testing, monitoring, logging, and evaluation. Collaborate with product, data, platform, and engineering teams while applying security, privacy, responsible-AI, and governance practices. Troubleshoot issues, document technical designs, participate in code reviews and Agile ceremonies, and support continuous improvement.

Lead end-to-end development of an AI-driven decision-support system for multi-sensor data. Responsibilities include building data ingestion and fusion pipelines, training and deploying supervised and unsupervised ML models, optimizing near-real-time inference, creating GPU-accelerated dashboards, integrating modular containerized systems, and supporting secure deployment and testing. The role works directly with the founder, owns technical delivery autonomously, and collaborates with subcontractors on human factors, model validation, and security auditing.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Build and maintain cloud infrastructure, automation, configuration management, and CI/CD pipelines. Operate Kubernetes, Helm, and Docker workloads across multiple public clouds; configure observability tooling; troubleshoot production systems spanning networking, databases, serverless functions, and caching; and participate in a 24/7 on-call rotation. The role also involves owning infrastructure projects end to end and collaborating across engineering and product teams.

Design and deliver backend services for a sophisticated B2B platform. Build durable APIs, data models, resilient workflows, and systems that handle failures, retries, and complex business rules. Improve developer tooling, observability, and operational reliability while contributing to architecture decisions and engineering standards. Partner with product, design, and customer-facing teams, translate ambiguous requirements into technical plans, mentor teammates, and maintain high-quality production software.

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.

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.

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.