SVP, Engineering

Covera Health

. Lead Covera Health's Engineering and Platform/IT organizations, including approximately 30 people across Engineering and AI.

Posted 10/13/2026full-timeRemote • New York • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep technical expertise in software engineering, cloud infrastructure, and data architecture while leading high-performing engineering teams. Capable of translating product strategy into technical execution and ensuring high-quality software delivery in a fast-paced environment.

Highest-signal resume keywords

Software Engineering LeadershipCloud Infrastructure ManagementData Architecture ExpertiseAI/ML Integration ExperienceExecutive Communication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringTechnical ArchitectureData PlatformsCloud InfrastructureData PipelinesDistributed SystemsEngineering StandardsTechnical Problem-SolvingHigh-Quality Software DeliveryHealthcare Data Compliance

Soft Skills

Team LeadershipCollaborationAccountabilityDecision-MakingCross-Functional Communication

Tools & Technologies

AWSDatabricksSparkHL7DICOM

Industry Keywords

Healthcare TechnologyData-Intensive SystemsEngineering ExcellenceStartup EnvironmentProduct Strategy

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsSpark

About the role

Key responsibilities & impact

Lead Covera Health's Engineering and Platform/IT organizations, including approximately 30 people across Engineering and AI.
Own technology architecture, engineering standards, technical execution, day-to-day engineering delivery, technical quality, and reliability.
Partner with the Chief Product & Technology Officer to translate product and company strategy into technical execution.
Lead and develop engineering leaders while remaining closely involved with teams and technical challenges.
Improve engineering effectiveness through strong technical practices, clear priorities, practical processes, and reliable, high-quality software delivery.
Connect technology decisions to customer, product, and business needs.
Bridge Engineering with Product, Data, AI, Clinical, Operations, Security, and other teams.
Own architecture and standards across application development, cloud infrastructure, data platforms and pipelines, integrations, and enterprise technology.
Ensure platforms and systems scale reliably and securely as products, customers, data sources, and partnerships grow.
Maintain high engineering standards balancing performance, scalability, reliability, security, cost, and speed.
Recruit, develop, and retain exceptional technology talent.
Build a culture of ownership, sound technical decision-making, collaboration, and engineering excellence.
Support increasingly complex data- and AI-driven products while meeting healthcare privacy, security, reliability, and quality requirements.
Communicate technical decisions, priorities, risks, and tradeoffs to engineering teams and executive stakeholders.
Diagnose and resolve complex technical challenges, including data pipeline issues, architectural decisions, system performance, and critical production incidents.

Requirements

What you’ll need

15+ years of progressive software engineering and technology experience, including deep technical experience building and operating complex software systems and leading engineering teams.
Experience leading engineering teams and engineering managers while remaining actively involved in technical architecture, design, and execution.
Demonstrated success building technically strong, high-performing engineering teams with a culture of ownership, accountability, and high engineering standards.
Strong product instincts and demonstrated ability to connect technology strategy and execution to product, customer, and business needs.
Demonstrated ability to partner closely with Product leadership and operate effectively at the intersection of product and engineering.
Deep technical expertise and strong architectural judgment, with the ability and desire to remain actively involved in design reviews, technical problem-solving, and critical engineering decisions.
Experience building, scaling, and operating large-scale, data-intensive production systems and platforms.
Deep technical knowledge of modern software engineering, cloud infrastructure, data platforms and pipelines, integrations, security, reliability, and data architecture.
Experience improving engineering quality, reliability, and delivery through strong technical practices, effective tooling, and practical team leadership.
Demonstrated ability to make complex cross-functional decisions, resolve competing priorities, and create alignment across multiple teams and functions.
Experience working with ML/AI engineering teams or overseeing products and platforms incorporating AI/ML capabilities.
Strong track record of recruiting, developing, and retaining exceptional engineering leaders and talent.
Experience operating in fast-paced startup or growth-stage environments.
Excellent executive communication and cross-functional leadership skills.
Experience building or leading modern, data-intensive technology platforms, with a strong understanding of complex data pipelines, distributed systems, and production reliability.
Demonstrated ability to balance technical depth with leadership responsibilities, remaining close to engineering work while guiding teams and making broader technology decisions.
Preferred: Experience at a healthcare technology or data company building modern software platforms or technically complex products using clinical, imaging, or claims data.
Preferred: Experience with healthcare or clinical data environments, including familiarity with HL7 and/or DICOM.
Preferred: Experience with modern data and analytics platforms such as Databricks, Spark, or similar technologies.
Preferred: Experience with AWS or equivalent cloud infrastructure.
Preferred: Experience transitioning from a highly technical engineering environment into a leadership role at a startup or growth-stage company.
Preferred: Experience developing engineering depth and technical leadership at a large-scale technology company, followed by engineering leadership experience in a smaller, product-focused organization.
Every team member is expected to actively use AI in their day-to-day role.

Benefits

Comp & perks

Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
Vision & Dental
Flexible Time Off - take the time you need, when you need it
Generous company wide holidays - 16 in total
401(k) Retirement Plan
Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity
Annual Wellness stipend for fitness, mental health or other wellness expenses