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Locums Hospitalist Job in Florida Specialty: Hospitalist 6/21/2022
- Ongoing Hours: 7am-7pm Near KEY LARGO, FL.If you are interested in hearing more about this opportunity, please call or text MD Staff at .

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Director of Case Management

Job Type: Full-Time, Permanent

Location: Central Louisiana

Step into a high-impact leadership role where you can truly shape how patients move through the healthcare system. This Director of Case Management opportunity offers the chance to lead a collaborative team at a respected regional medical center serving a vibrant and growing community in central Louisiana. Known for its strong culture of teamwork and mission-driven care, this organization empowers leaders to innovate, improve patient outcomes, and build programs that make a meaningful difference across the continuum of care.

Responsibilities

• Lead and inspire a multidisciplinary Care Management team including Social Workers, RN Case Managers, and Utilization Review staff while fostering a culture of accountability, collaboration, and patient-centered care.
• Oversee the day-to-day operations of the Care Management department to ensure efficient patient flow, timely discharge planning, and appropriate utilization of resources.
• Develop and implement care management strategies that improve patient outcomes, reduce length of stay, and support effective transitions of care.
• Partner with executive leadership, physicians, finance, and operational teams to align care management initiatives with organizational goals and performance metrics.
• Ensure regulatory compliance with CMS and other governing bodies related to utilization review and discharge planning standards.
• Monitor and analyze department performance data to identify opportunities for improvement and implement cost-effective solutions.
• Manage departmental budgets and staffing while building strong clinical and operational processes.
• Represent Care Management initiatives across the organization and contribute to system-wide program development and best practices.

Qualifications

• Bachelor’s Degree required.
• Active RN or Licensed Social Worker (LCSW preferred) license in the state of employment or compact state.
• Minimum 3–5 years of acute care nursing or social work experience.
• At least 2 years of Case Management or Utilization Management experience.
• Minimum 3 years of leadership experience in a healthcare setting.
• Case Management Certification (ACM or CCM) preferred.
• Demonstrated success leading multidisciplinary teams and improving operational performance metrics such as length of stay or patient throughput.
• Strong communication, critical thinking, and problem-solving skills.

About the Hospital

• 300-bed regional medical center serving a large and diverse patient population.
• A key healthcare hub for central Louisiana with a broad range of specialty services.
• Collaborative leadership structure that values innovation and process improvement.
• Mission-driven culture focused on compassionate care and community impact.
• Strong emphasis on leadership development and system-wide collaboration.

Benefits

• Competitive compensation package with leadership-level salary.
• Performance bonus eligibility up to 12.5% of base salary through the organization’s incentive program.
• Comprehensive health, dental, and vision insurance options.
• Retirement savings plan with employer contributions.
• Generous paid time off and holiday schedule.
• Relocation assistance available for qualified candidates.
• Professional development and leadership growth opportunities.

Living in Central Louisiana

• Affordable cost of living with spacious homes, short commutes, and family-friendly neighborhoods.
• Easy access to lakes, rivers, and outdoor recreation including fishing, boating, and hiking.
• A vibrant local culture featuring Southern cuisine, music, and festivals throughout the year.
• Centrally located with convenient travel access to major Southern cities.
• Warm climate and welcoming community atmosphere that make it easy to feel at home.

If you're a strategic leader passionate about improving patient care and driving operational excellence, this is an opportunity to make a lasting impact. Apply today to learn more about leading Case Management at a respected regional healthcare organization.

Overview

We are seeking an experienced Project Executive to lead and grow our client's Mission Critical Construction group. This role provides executive oversight for complex, fast-paced project including data centers and other high-reliability facilities, while driving operational excellence, client satisfaction, and team development. The Project Executive will serve as a strategic leader, partnering with ownership, clients, and internal teams to ensure successful delivery of projects from preconstruction through turnover.

Key Responsibilities

• Provide overall leadership and accountability for the Mission Critical project portfolio, including safety, quality, schedule, and financial performance
• Establish and maintain best practices specific to mission critical construction, including commissioning, redundancy, and risk mitigation
• Ensure alignment between project teams, company leadership, and client expectations
• Oversee multiple large-scale, technically complex projects simultaneously
• Review and guide project schedules, budgets, buyout strategies, and staffing plans
• Monitor project performance and proactively address risks, cost exposure, and schedule challenges
• Serve as a senior point of contact for owners, developers, engineers, and trade partners
• Build and maintain long-term client relationships within the mission critical sector
• Support business development efforts, including pursuits, interviews, and strategic planning for future work
• Lead, mentor, and develop Project Managers, Superintendents, and senior staff
• Assist with recruiting, performance management, and succession planning within the Mission Critical group
• Promote a culture of accountability, collaboration, and continuous improvement

Qualifications

• 12+ years of experience in commercial construction, with significant experience in mission critical/data center projects
• Proven leadership experience overseeing multiple large-scale projects and teams
• Strong understanding of MEP systems, commissioning processes, and mission critical infrastructure
• Excellent financial acumen with experience managing large project budgets and forecasts
• Strong communication skills with the ability to interact effectively at the executive and client level
• Bachelor’s degree in Construction Management, Civil Engineering, or a related field preferred

Why Join

• Leadership role with significant influence over a growing Mission Critical business unit
• Stable project pipeline with technically challenging, high-profile work
• Competitive compensation package including salary, bonus, and executive-level benefits
• Opportunity to shape strategy, build teams, and leave a lasting impact on the organization

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

QA / Quality Engineering Delivery Lead

Location: Secaucus, NJ (Hybrid – 3 days onsite)

Employment Type: Full-time / Contract

Experience: 12–15 years

Domain: Retail

Role Overview

We are seeking a QA / Quality Engineering Delivery Lead to own end-to-end quality delivery while driving QE transformation and modernization initiatives, including AI-augmented testing and intelligent automation frameworks. This role demands a tool-agnostic automation mindset, strong leadership capabilities, and the ability to balance BAU delivery with future-ready QE transformation, leveraging GPT-based testing and AI-led quality practices.

Key Responsibilities:

• Own quality outcomes across programs, releases, and product lines
• Lead day-to-day BAU QA delivery, including:
• Test planning & execution
• Defect management
• Release validation and go/no-go readiness
• Drive QE assessments and build continuous improvement & transformation roadmaps
• Define and execute modern test automation strategies across:
• UI, API, Mobile, and End-to-End (E2E) automation
• Lead AI-augmented testing initiatives, including:
• GPT/LLM-based test case generation
• Intelligent test design and risk-based testing
• Self-healing automation and test optimization
• Promote shift-left and shift-right testing by partnering with:
• Product Management
• Engineering
• DevOps and SRE teams
• Embed quality early in the SDLC through CI/CD and cloud-native testing
• Establish and track quality metrics, KPIs, and dashboards
• Provide clear visibility into quality status, risks, and dependencies for senior stakeholders
• Mentor QA/QE teams and foster a continuous improvement and innovation culture.

Required Skills & Experience

Must Have

• 10–14 years of experience in QA / Quality Engineering
• Proven leadership experience managing QA/QE teams in Agile & DevOps environments
• Strong hands-on expertise in test automation frameworks, including:
• Selenium, Playwright, Cypress (any one or more)
• Exposure to Tricentis Tosca (preferred but not mandatory)
• Solid experience in:
• API & integration testing
• Test data management
• Defect lifecycle management
• Demonstrated experience conducting:
• QE maturity assessments
• Automation ROI analysis
• QE transformation planning
• Ability to manage BAU delivery alongside modernization and innovation initiatives
• Strong Retail domain experience (POS, eCommerce, supply chain, merchandising systems preferred)

AI-Augmented & Intelligent QE (Mandatory Focus)

• Hands-on or leadership experience with AI-driven QE practices, including:
• GPT / LLM-based test case & test scenario generation
• AI-assisted exploratory testing
• Intelligent test selection, prioritization, and impact analysis
• Experience building or adopting intelligent automation frameworks with:
• Self-healing capabilities
• Dynamic locators & adaptive scripts
• Familiarity with:
• Generative AI usage in QE pipelines
• Prompt engineering for test generation
• Ability to operationalize AI in QE, not just PoCs

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

About Straia

At Straia, we're building the AI-native intelligence layer for colleges and universities.

Today, colleges run on dozens of disconnected systems, forcing staff to spend hundreds of hours manually reconciling data, compiling reports, and tracking down insights. Straia changes that. We unify institutional data and layer on AI agents that answer questions, generate insights/visualizations, and automate repetitive workflows, transforming how colleges operate.

Over time, Straia will evolve into the core intelligence layer for institutional operations, where every function, from student advising to admissions to budgeting and resource planning, is supported by collaborative AI agents that understand each institution's unique data landscape.

We recently raised our pre-seed from a16z, Reach Capital, and JFF Ventures, and are now hiring a founding backend engineer to help build the technical backbone of how institutions interact with their data.

The Role

As a Founding Engineer at Straia, you'll work directly with a small team including directly with our CEO (Ryan), CTO (Alan) and CPO (Nikki) to design, build, and scale the core infrastructure of our platform.

This is a 0 → 1 opportunity to shape not just the product, but the engineering culture, architecture, and trajectory of the company. You'll ship fast, make key technical decisions, and help define how AI can power the next generation of enterprise data intelligence.

We're specifically looking for someone who consistently raises the bar. The kind of engineer whose default speed and judgment increase the velocity of everyone around them. If you thrive when expectations are high and the pace is fast, you'll feel right at home

What You'll Do

• Build the core platform — architect and implement services spanning data ingestion, query orchestration, and agentic AI workflows
• Ship end-to-end features across our React + Node.js + Postgres stack, integrating directly with LLMs like GPT, Gemini, and Claude
• Scale infrastructure on GCP for performance, reliability, and data security
• Collaborate with users (university data teams and administrators) to translate real problems into elegant, powerful solutions
• Lay the foundation for Straia's engineering culture, best practices, and technical roadmap
• Prototype fast, iterate faster — your work will directly shape how education leaders experience AI in their daily decision-making

Who You Are

• 4–7 years of experience building and shipping full-stack applications, with a strong emphasis on backend systems (Node.js, TypeScript, Postgres).
• Deeply technical, with a track record of building scalable, high-quality software
• Startup-minded — you thrive in ambiguity, love building from scratch, and see constraints as creative fuel
• Mission-driven — excited to improve education through technology that makes institutions smarter, faster, and more equitable
• Collaborative and high-agency — you take initiative, value clear communication, and have the instincts of an owner, not an employee
• AI-curious or experienced — exposure to LLMs, vector databases, or prompt engineering is a plus

Our Stack

• Frontend: React + Vite
• Backend: Node.js + Express, orchestrating data and AI agent workflows
• Data Layer: Postgres + Caching for fast queries
• LLM Integration: GPT, Gemini, Claude via API
• Cloud & Infra: Hosted on GCP

Why Join Straia

• Be one of the first engineers at a venture-backed AI company redefining institutional intelligence in higher ed
• Shape the core architecture and engineering culture from day one
• Work directly with top-tier investors and advisors from a16z, Reach, and JFF Ventures
• Join a small, fast-moving team that works incredibly hard, ships fast, and still makes time for good food, laughs, and adventures — we take our work seriously, but not ourselves
• Build meaningful technology that directly impacts student success and equity across colleges nationwide

What We Offer

• Compensation: $160K–$225K + equity
• Location: San Francisco (in office 4 days a week)
• Benefits: Health (platinum insurance), dental, and vision

**We do not sponsor Visas**

The Integration Architect defines, designs, and governs enterprise integration architecture standards across AWS, Azure, Microsoft Fabric, and on-prem systems. This consultant creates scalable integration blueprints, reusable patterns, and secure connectivity frameworks that ensure interoperability, reliability, and domain-aligned data exchange. The role partners closely with domain teams, platform engineering, API management teams, and enterprise architecture to accelerate delivery while maintaining architectural integrity.

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• Define and maintain enterprise standards for API design, event schemas, messaging patterns, and integration of contracts.
  
• Establish integration governance across AWS, Azure, MS Fabric, and on-prem systems.
  
• Define patterns for ADS (Authorized Data Sources) alignment, data contracts, schema evolution, and anchor key management.
  
• Enforce adherence to enterprise security principles, including OAuth2/OIDC, JWT, TLS, Zero Trust patterns.
  

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• Build and maintain unified enterprise integration architecture blueprints spanning cloud, Fabric, and on prem connectivity.
  
• Create domain specific and cross domain integration flow maps, canonical API patterns, and event driven reference architectures.
  
• Align AWS, Azure, MS Fabric, and on-prem patterns under Unified Architecture.
  

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• Develop reusable integration patterns for:
  
  
  • 
    
  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • On prem: MFT, MQ, legacy services.
    
  
  
  
• Provide templates for API contracts, event schemas, integration error handling, observability hooks, and resiliency patterns.
  

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• Define integration patterns incorporating ADS rules, domain ownership, and anchor key management for interoperability.
  
• Ensure all integration patterns embed security, observability, lineage awareness, and operational resiliency.
  
• Collaborate with data governance to ensure consistent entity resolution and cross?domain identifier mapping.
  

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• Guide domain teams in implementing target state integration architectures.
  
• Lead or participate in architecture reviews for API designs, event models, platform integrations, and connectivity.
  
• Recommend modernization opportunities to retire from legacy integration mechanisms and adopt event-driven/API?first models.
  

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• 8-12+ years in integration architecture, API engineering, event-driven design, or hybrid integration.
  
• Strong hands-on expertise across:
  
  • 
    
  • AWS: API Gateway, Event Bridge, SNS/SQS, Lambda, Step Functions, Glue, EMR, Redshift, Lake Formation, Kinesis, AWS Batch, AWS ECR, AWS ECS Fargate.
    
  • Azure: APIM, Functions, Service Bus, Azure Data Factory (all IR types), Azure Synapse Pipelines, Azure Stream Analytics, Azure Batch, Azure Data Explorer ingestion.
    
  • MS Fabric: Data Factory pipelines, Lakehouse ingestion interfaces, Fabric Data Pipelines, Notebook-based ETL, Warehouse ingestion.
    
  • RDBMS: SQL, Oracle, DB2, RDS, etc.
    
  • On prem: MQ, MFT, REST/SOAP services.
    
  
  
  
• Understanding of ADS, anchor key management, data/domain contracts, lineage aware integration.
  
• Experience designing event driven, API first, batch, and hybrid integration architectures.
  

We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.

As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.

This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.

This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.

Key Responsibilities:

AI Application Development

Build and maintain AI-powered features including:

• Open-to-Buy optimization and inventory planning models
• Sales forecasting and demand prediction solutions
• Intelligent OMS features for routing, allocation, and automation
• Marketing AI tools such as product copy generation and AI-assisted image generation

Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.

RAG, GraphRAG, + Vector DB Engineering

• Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
• Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
• Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
• Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.

AI Agents & Orchestration

• Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
• Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
• Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.

AI Infrastructure & System Architecture

• Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
• Assist in deploying scalable inference pipelines, batching, and caching layers.
• Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).

Data Engineering, Pipelines & Model Training

• Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
• Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
• Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
• Strong foundations in Python, data structures, and machine learning concepts.
• Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
• Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
• Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
• Exposure to SQL/NoSQL databases.
• Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
• Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
• Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
• Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.

Preferred Qualifications:

• Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
• Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
• Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
• Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.

What you'll Gain:

• Hands-on impact in designing enterprise AI capabilities from the ground up.
• Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
• A chance to shape AI products used across supply chain, marketing, and e-commerce.

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

About Us

We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.

The Opportunity

We are looking for motivated developers for our intern-to-full-time track. You will be given full-time responsibilities from day one in a high-velocity growth startup environment. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.

Compensation Structure:

The base position is unpaid; however, highly qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.

About the Role

We are hiring a Backend Engineer who can design, implement, and maintain the robust, scalable server-side systems that power our platform. You will be responsible for a variety of tasks focused on data integrity, API performance, and system reliability, working on features from the database all the way through to serving the application's core logic.

Key Responsibilities

• Backend Development: Design and develop robust Node.js (TypeScript) server-side applications, build and maintain RESTful APIs, and ensure data integrity and security within MongoDB.
• Database & Data Modeling: Own the database schema design, optimization, querying, and indexing within MongoDB Atlas to ensure high performance and scalability.
• API Architecture: Define and evolve the structure of our internal and external RESTful APIs, focusing on performance, security, and maintainability.
• System Scalability: Implement caching, message queues, and distributed system concepts to ensure the platform remains performant and scalable under high load.
• Security & Compliance: Implement secure authentication systems, ensure HIPAA compliance, and maintain high security standards across the platform, especially for data at rest and in transit.
• DevOps & Quality: Develop and maintain automated backend testing, version control using Git/GitHub, and contribute to CI/CD pipelines and cloud deployment strategies.
• Cloud Infrastructure: Utilize and manage backend services within AWS (ECS, S3, Lambda) to support highly available and resilient application services.

Technical Stack

• Back-End: Node.js (TypeScript), MongoDB Atlas, AWS (ECS, S3, Lambda), RESTful APIs
• DevOps/Tools: Git/GitHub, Automated Testing Frameworks

Required Qualifications

Successful candidates must have a specific deep specialization and a foundational understanding of the others to contribute across the backend stack:

• Backend Foundation:
• 2+ years of experience with Node.js (TypeScript, API development).
• Strong understanding of modern web security, data protection, and collaborative development workflows using Git/GitHub.
• Backend Depth: Strong expertise with MongoDB (design, optimization, complex querying, aggregation pipelines) and implementing robust RESTful APIs with authentication, authorization, and error handling.
• System Design & Architecture: Proven ability to design and architect highly available, scalable, and resilient server-side applications.
• Problem Solving: Ability to debug and troubleshoot complex production issues and performance bottlenecks in the backend and database layers.

Preferred Qualifications (Nice to Have)

• Previous experience in a high-velocity team environment with separated responsibilities.
• Understanding of HIPAA compliance and working within the healthcare or other regulated industries.
• Experience with AWS services (ECS, S3, Lambda) or DevOps practices (Docker, CI/CD).
• Experience with server-side caching (e.g., Redis) or message queuing systems (e.g., SQS).

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time:

• Initial Screening Call: Discussion of your background, experience, and career goals.
• Technical Challenge: A real-world technical challenge to complete at your own pace.
• Technical Interview: An in-depth discussion where you will walk through, debug, and defend your solution, demonstrating complete ownership and understanding of the entire codebase and architectural decisions—regardless of whether code was generated manually or with AI assistance.

We're looking for engineers who can think critically, adapt their approach, and truly understand the systems they build.