Abbott's Lingo platform is building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. The platform needs to ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms. The company is seeking an experienced leader to oversee both Backend Engineering and Cloud Infrastructure/DevOps to provide architectural direction, set engineering standards, mentor tech leads, and ensure delivery at scale.
Requirements
- 10+ years combined experience in backend engineering (Java/Spring Boot) and cloud infrastructure/DevOps.
- Proven success in implementing: Distributed microservices architectures
- Proven success in implementing: Event-driven systems (Kafka, RabbitMQ or equivalent)
- Proven success in implementing: Database scaling strategies
- Proven success in implementing: Multi-region cloud deployments with enterprise security requirements
- Knowledge of: CI/CD automation and deployment strategies
- Knowledge of: Kubernetes and IaC (Terraform or equivalent)
Responsibilities
- Lead a growing team of backend engineers and DevOps specialists, balancing coaching, technical guidance, and delivery oversight.
- Maintain a “hands-on” presence (~20%) to review architectures, debug critical issues, and validate technical approaches.
- Direct the design and delivery of distributed microservices, REST/GraphQL APIs, and event-driven systems.
- Ensure enterprise-grade code quality, secure coding practices, and scalable design patterns (DDD, reactive programming).
- Drive performance optimization, ensuring p95/p99 latency targets are consistently met.
- Define standards for Infrastructure-as-Code, Kubernetes orchestration (multi-region, HA clusters), and service meshes.
- Oversee CI/CD pipelines and deployment strategies (blue/green, canary), leveraging modern toolchains.
Other
- 4+ years in technical leadership or engineering management roles.
- Strong track record of leading teams and delivering enterprise-grade systems at scale.
- Background in digital health, IoT, or other regulated industries (HIPAA, GDPR).
- Experience defining SLAs/SLOs and leading capacity planning for high-throughput workloads.
- Strong stakeholder communication skills; ability to present technical strategy to executives and cross-functional partners.
