Principal Platform Software Engineer

• Own the technical design and delivery of key Molecular Platform services, APIs, data pipelines, workflow capabilities, integrations, and operational tooling.

• Design scalable, secure, and reliable cloud services for scientific and enterprise data, including data ingestion, normalization, metadata, processing, workflow execution, and lifecycle management.

• Translate ambiguous customer workflows and product needs into clear technical designs, well-sequenced delivery plans, and durable platform capabilities.

• Build reusable integration patterns for data sources, scientific applications, workflow systems, AI-enabled services, and OCI platform services.

• Design for multi-tenant isolation, identity and access control, auditability, data protection, observability, failure handling, and operational readiness.

• Establish the events, metrics, logs, and telemetry needed to support monitoring, troubleshooting, capacity planning, and product decisions.

• Drive rapid pilot delivery while maintaining modular designs that can support additional customers, use cases, data types, and workflows over time.

• Lead design reviews, provide technical guidance to other engineers, and raise standards for code quality, testing, reliability, security, and documentation.

• Work directly with product managers and customers to investigate feedback, resolve technical risks, and continuously improve the service.

What You’ll Bring

• 6+ years of professional software-development experience building and operating production services or platform capabilities.

• Strong programming experience in one or more languages such as Java, Go, Python, C++, C#, or similar.

• Experience building distributed systems, backend services, cloud-native applications, or large-scale data-processing systems.

• Ability to independently own moderately complex components or features from technical design through production operation.

• Ability to work effectively in a fast-moving environment, manage shifting priorities, and make sound engineering decisions with incomplete information.

• Strong collaboration and communication skills, including experience working closely with product managers, customers, or partner engineering teams.

• Hands-on experience in at least one of the following areas:

• Data platforms or data engineering, including ingestion, storage, processing, streaming, orchestration, or governance

• IoT platforms, device connectivity, edge-to-cloud systems, telemetry, or fleet-scale operations

• AI/ML platforms, model training, model evaluation or harnesses, model serving, RAG, AI agents, or Model Context Protocol (MCP)

• Familiarity with cloud infrastructure, APIs, containers, CI/CD, infrastructure-as-code, observability, and service operations.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Responsibilities

Technical Leadership and Delivery

• Define service architecture and technical designs for owned Molecular Platform capabilities.

• Deliver production-quality services, APIs, integrations, data-processing components, and automated tests.

• Lead technical investigations and resolve complex design, performance, reliability, and integration issues.

• Mentor engineers through design reviews, code reviews, debugging, and sound engineering practices.

Customer and Product Partnership

• Work closely with product management and strategic customers to understand workflows, technical constraints, and desired outcomes.

• Translate customer feedback into platform improvements and durable product capabilities.

• Make clear trade-offs between immediate pilot needs and the longer-term reusable platform architecture.

Reliability, Security, and Operations

• Establish appropriate logging, metrics, tracing, health checks, alerts, and operational runbooks for owned services.

• Design services with strong identity and access controls, tenant isolation, data protection, auditability, and secure-by-default practices.

• Lead improvements to deployment automation, test coverage, resilience, performance, and operational readiness.

• Support investigation of significant service issues and drive durable corrective actions.

Preferred Qualifications

• Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform.

• Experience with Kubernetes, Docker, microservices, distributed data systems, event-driven architecture, or service orchestration.

• Experience with scientific data platforms, life-sciences data, laboratory informatics, research workflows, or regulated data environments.

• Experience with AI/ML platforms, model training or serving, RAG, evaluation harnesses, AI agents, MCP, or enterprise AI integrations.

• Familiarity with data governance, metadata and lineage, policy enforcement, privacy controls, or compliance requirements for enterprise data.

• Experience building new platform capabilities in a fast-moving environment where early customer requirements evolve rapidly.