Staff Software Engineer - Product Infrastructure (Backend) at Sage

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Typically 7+ years of backend/infrastructure engineering experience, with a track record of leading complex projects at scale
Deep proficiency in Java (JDK internals, concurrency, memory management, profiling, tuning)
Strong background in building distributed systems (service-to-service communication, replication, consensus, failure handling)
Experience with API design (REST/gRPC), serialization formats, and versioning strategies
Hands-on expertise with cloud platforms (AWS, GCP)
Strong knowledge of containerization and orchestration (Docker, Kubernetes)
Familiarity with Infrastructure as Code (Terraform or equivalent)
Familiarity with event-driven architectures and streaming systems (Kafka, etc.)
Strong understanding of databases (SQL and NoSQL), transaction models, and distributed data management
Knowledge of caching strategies (Redis, Memcached, etc.) and message queues
Experience with monitoring, logging, and tracing (DataDog, Prometheus, Grafana, ELK/EFK, OpenTelemetry, etc.)
Strong skills in debugging distributed systems in production
Familiarity with secure coding practices, secrets management, and cloud security models
Knowledge of authentication/authorization frameworks (OAuth2, OIDC, JWT)
Ability to lead design reviews

Responsibilities

Lead Technical Projects: Own and drive high-impact backend and infrastructure initiatives, from design through production
Architect Scalable Systems: Design and implement distributed, fault-tolerant backend services with an emphasis on performance and resilience
Strengthen Infrastructure: Evolve our containerized, cloud-native platform, ensuring observability, reliability, and efficiency at scale
Optimize Performance: Profile and tune Java services, improve throughput/latency, and scale systems to handle high-volume workloads
Mentor & Guide: Share expertise in backend engineering and infrastructure best practices with other engineers
Partner Cross-Functionally: Collaborate with product engineering teams to deliver secure, scalable features and infrastructure improvements

Skills

Backend Engineering

Infrastructure Engineering

System Scalability

Reliability Engineering

Technical Leadership

Project Management

System Design

Sage

Care platform for senior living communities

About Sage

Sage provides a care platform aimed at improving support for residents in senior living communities. The platform allows care teams to collect valuable data, which helps them gain insights to enhance their performance and the overall outcomes of the community. By focusing on the roles of caregivers and the well-being of residents, Sage offers tools that measure and improve care quality and operational efficiency. Unlike many competitors, Sage operates on a subscription-based model, ensuring ongoing access to its services for senior living communities. The main goal of Sage is to optimize care delivery and enhance the living experience for seniors.

New York City, New YorkHeadquarters

2020Year Founded

$57.4MTotal Funding

SERIES_BCompany Stage

Data & Analytics, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Stock Options

Unlimited Paid Time Off

Paid Holidays

Flexible Work Hours

Risks

High caregiver turnover rates may impact Sage's service quality.

Rapid expansion across 26 states could strain operational capabilities.

Dependence on continuous funding rounds poses financial risks if funding becomes challenging.

Differentiation

Sage is the first cloud-based operations system in the senior living space.

The platform reduces staff turnover by an average of 20% in communities using Sage.

Sage decreases caregiver response times from 20 minutes to under 8 minutes.

Upsides

Sage raised $35 million in Series B funding to expand its reach.

The platform captures essential data, helping identify health anomalies and improve care.

Sage's AI-driven analytics anticipate health issues, reducing emergency interventions.

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