Engineering Lead at Assured

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

8+ years of experience designing and scaling distributed systems and SaaS platforms in regulated environments (e.g., healthcare, finance)
Proven expertise in microservices architecture, asynchronous messaging systems, and container orchestration using Kubernetes
Proficiency in modern programming languages (e.g., Node.js, Go, Python) and infrastructure-as-code tools (e.g., Terraform, Pulumi)
Demonstrated leadership in implementing AI/ML and GenAI solutions in production
Proven ability to drive architecture and own end-to-end systems delivery
Great communication—able to explain technical trade-offs to technical and non-technical audiences
Preferred
MS/PhD in CS, ML, NLP, or related
Experience in healthcare, insurance, compliance domains
Prior experience deploying enterprise-grade systems
Open-source contributions, publications, or technical blog presence

Responsibilities

Design and evolve a modular microservices-based architecture with clear domain boundaries and scalable APIs
Lead the adoption of publish/subscribe (pub/sub) patterns for real-time, decoupled communication using platforms such as Kafka or Amazon SQS
Architect systems to support high availability, disaster recovery, and performance optimization at scale
Define cloud infrastructure architecture using AWS, GCP, or Azure, with a focus on security, scalability, and automation
Lead the strategy, design, and integration of Generative AI and Machine Learning capabilities to enhance clinical decision support, automate operational workflows, and personalize user experiences
Evaluate AI tools, frameworks, and third-party APIs, ensuring alignment with platform goals and data protection requirements
Provide architectural guidance across teams and ensure adherence to engineering best practices throughout the SDLC
Mentor software engineers, promote a culture of technical ownership, and facilitate design reviews and documentation
Guide teams in deploying scalable, observable, and resilient services with CI/CD pipelines, infrastructure-as-code, and monitoring tools
Champion best practices for system security, auditability, and privacy by design
Lead efforts in incident response readiness, chaos engineering, and platform reliability
Act as a technology advisor to product managers, business leaders, and clinical stakeholders
Translate complex business requirements into scalable technical solutions that align with product vision and regulatory standards

Skills

Key technologies and capabilities for this role

MicroservicesKafkaAmazon SQSAWSGCPAzureGenerative AIMachine LearningPub/SubCloud Infrastructure

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What is the required experience level for this role?

Candidates must have 8+ years of experience.

What technical skills are essential for the Engineering Lead position?

Key skills include designing modular microservices architecture, leading pub/sub patterns with Kafka or Amazon SQS, architecting cloud infrastructure on AWS, GCP, or Azure, and integrating Generative AI and Machine Learning.

What does the company culture emphasize for this role?

The role suits those who thrive in early-stage environments, enjoy owning things end-to-end, and want measurable impact, while promoting technical ownership, mentoring, and collaboration with stakeholders.

What makes a strong candidate for this Engineering Lead role?

A strong candidate has 8+ years of experience, expertise in system architecture, AI integration, technical leadership, and security practices, with the ability to thrive in early-stage settings and drive end-to-end ownership.

Assured

Digital solutions for insurance claims processing

About Assured

Assured.Claims provides digital solutions specifically for Property and Casualty (P&C) insurance carriers, focusing on enhancing the claims process. Their platform allows insurers to manage claims digitally, utilizing a combination of artificial intelligence and human interaction to facilitate effective communication with all parties involved. A key feature of their service is the First Notice of Loss (FNOL) web app, which helps insurers collect structured data at the beginning of a claim, leading to improved customer experiences and faster claim resolutions. Assured.Claims differentiates itself by offering a white-label solution, enabling insurers to implement their technology under their own brand without needing to develop it themselves. The company's goal is to streamline the claims process for insurers, ultimately improving efficiency and accuracy in claims handling.

Palo Alto, CaliforniaHeadquarters

2019Year Founded

$4.3MTotal Funding

SEEDCompany Stage

Fintech, AI & Machine LearningIndustries

51-200Employees