Engineering Structures Jobs in Fremont Ca Remote

Head of Operations and Manufacturing Ripple Medical | California (Hybrid or Remote) | Full-Time

ABOUT RIPPLE MEDICAL

Ripple Medical is a health tech company on a mission to revolutionize hypertension management with our cuffless blood pressure wearable. Once cleared by FDA, our product will enable patients to easily and accurately monitor blood pressure at home, empowering them and their providers with actionable data to improve outcomes. We're a collaborative, mission-driven team of 33 working in a medical device regulatory environment to bring this technology to the millions of patients who can benefit.

POSITION SUMMARY

The Head of Operations and Manufacturing will own the end-to-end operational infrastructure required to bring Ripple's FDA-regulated cuffless blood pressure monitor to market and scale production. This is a hands-on leadership role for someone who thrives building from zero to one in a regulated environment: selecting contract manufacturers, standing up supply chains compliant with FDA 21 CFR Part 820, establishing ISO 13485-certified quality management systems, and preparing for direct-to-patient fulfillment.

As a company preparing for 510(k) submission and commercial launch, this role is critical to ensuring we can reliably manufacture and deliver a high-quality, FDA-cleared medical device at scale. The ideal candidate brings deep experience in medical device manufacturing (particularly wearable or electro-optical devices), understands regulated hardware supply chains and design transfer, and can roll up their sleeves while building the team and processes for long-term growth.

This position reports directly to the CEO with high visibility to the leadership team and Board of Directors.

KEY RESPONSIBILITIES

Manufacturing & Production

• Lead selection and onboarding of contract manufacturing partners with Class II medical device experience, including RFQ, quality audits, contract negotiation, and ongoing management.
• Own design transfer and manufacturing transfer, working with engineering on DFM principles, Device Master Record (DMR) requirements, and production readiness.
• Establish production planning, forecasting, and capacity management for V&V builds, pilot production, and volume manufacturing.
• Drive continuous improvement in yield, quality, and cost while maintaining FDA and ISO compliance.
• Oversee pilot runs and scale-up, including process validation (IQ/OQ/PQ) and manufacturing controls.

Supply Chain & Procurement

• Build and manage the end-to-end supply chain, including component sourcing, supplier qualification, and inventory management per FDA purchasing controls.
• Develop supplier relationships and negotiate terms while ensuring supply continuity, traceability, and risk mitigation.
• Implement inventory planning to balance working capital with service levels, including buffer strategies for Year 1 launch.
• Monitor and mitigate supply chain risks: component shortages, single-source dependencies, geopolitical factors, and logistics disruptions.

Quality & Regulatory Compliance

• Maintain and improve the ISO 13485-certified QMS in partnership with the quality and regulatory team, ensuring FDA 21 CFR Part 820 compliance.
• Support 510(k) submission activities related to manufacturing, including process validation documentation, DMR development, and device history records (DHR).
• Define incoming inspection, in-process controls, and final product testing consistent with the risk management file.
• Manage product certifications for a Class II device, including FDA registration, UDI compliance, and applicable international requirements.
• Lead root cause analysis and CAPA for quality issues, ensuring post-market surveillance compliance.

Fulfillment & Logistics

• Design the direct-to-patient fulfillment strategy, including 3PL selection with FDA-cleared Class II device experience.
• Establish logistics and distribution for nationwide shipping of a regulated device with chain-of-custody and traceability.
• Develop returns, replacement, and warranty processes that balance patient experience, cost, and compliance.

Team & Organizational Development

• Start as an individual contributor who executes hands-on, then build and lead the operations team through 510(k) clearance and commercial launch.
• Establish operational metrics and dashboards for manufacturing, supply chain, and quality performance.
• Partner with finance on cost modeling, COGS optimization, and operational budgeting.
• Collaborate cross-functionally with engineering, software, regulatory, and commercial teams.

QUALIFICATIONS

• 7-12 years in manufacturing, operations, or supply chain, with 3-5+ years in medical devices (Class II preferred), wearables, or regulated hardware.
• Experience managing contract manufacturers for regulated medical devices, preferably in Asia and/or domestically.
• Experience at or with CMs/EMS providers (Flex, Jabil, Celestica, Plexus, Sanmina) in Class II medical device or wearable programs is a strong plus.
• Track record of design transfer and scaling production from pilot to volume for regulated products.
• ISO 13485 and FDA 21 CFR Part 820 experience required.
• Familiarity with the 510(k) process and manufacturing documentation (process validations, DMR/DHR) strongly preferred.
• Bachelor's in Engineering, Supply Chain, Operations, Biomedical Engineering, or related field; MBA or advanced degree a plus.
• Based in California or travel up to 25%.

COMPENSATION

• Base Salary: $160,000 - $210,000 USD
• Performance Bonus: Tied to company milestones and personal objectives
• Equity: Early-stage stock option grant with meaningful ownership
• 100% Employer-Paid Healthcare: Medical, dental, and vision
• Additional Benefits: 401(k) with company match, flexible PTO

Greetings:

Hi, this is Mounika with Flexton, I have an amazing opportunity with one of our best clients in the Bay Area! Please have a look at JD below and drop your resume to or (4 if interested in applying!!

*****Only W2*****

Role:: Technical Program Manager

Location: San Francisco Bay Area or Remote, USA

Role and Responsibilities:

• Technical Program Manager (TPM) to support the Payments Engineering team.
• This person will partner with our Payments engineering, ops, and product teams to build/enhance decision making across multiple areas in the company. They will partner closely with the engineering leaders in Payments on processes, strategy, and execution.
• Develop a portfolio view of Payments programs’ scope and objectives. Collaborate with stakeholders to ensure technical feasibility and drive projects end-to-end. Provide leaders with sufficient visibility into execution status, issues, and decisions.
• Lead planning, execution, and delivery of large cross-functional initiatives aimed at increasing the productivity of our technical teams.
• The team is looking for a person with the technical background, who understands the problem space, will drive requirements, and leverage and apply their expertise to solve strategic problems.
• TPMs work on a variety of complex projects/ programs that touch multiple product surfaces, services, functions, and teams, and hence are required to keep the big picture in focus while being able to dive into the details, working through unique challenges. It is a highly leveraged role that aims to improve the quality and velocity of work across cross-functional teams by acting as a “force multiplier”.

Thanks

Mounika Ravi

Sr. Technical Recruiter

Cell | (4

Email:

Job Description

Sanmina Corporation (Nasdaq: SANM) is a leading integrated manufacturing solutions provider serving the fastest-growing segments of the global Electronics Manufacturing Services (EMS) market. Recognized as a technology leader, Sanmina Corporation provides end-to-end manufacturing solutions, delivering superior quality and support to Original Equipment Manufacturers (OEMs) primarily in the communications networks, defense and aerospace, industrial and semiconductor systems, medical, multimedia, computing and storage, automotive and clean technology sectors. Sanmina Corporation has facilities strategically located in key regions throughout the world.

The Sanmina Fremont facility is a full-service enclosure systems solution manufacturing plant. Located in California’s Silicon Valley, this facility produces low-to-mid volume New Product Introduction (NPI) runs to full-scale volume. The Fremont facility offers everything from small piece parts to fully integrated and tested systems. In addition, this location offers in-house painting capabilities and flexible logistics solutions in distribution, inventory management and hubbing, as well as repair services.

Job Purpose- The Production Manager is responsible for the direct management of all manufacturing and production activities for complex fabricated sheet metal, tubular frames, final assembly & test of a variety technical components & products. This role focuses on optimizing shop floor processes, ensuring product quality, meeting production schedules, and maintaining a safe working environment, directly supporting the strategic goals set by the Plant Manager.

Key Responsibilities

Production & Efficiency Management

• Oversee the daily execution of production schedules across multiple departments (e.g., sheet metal fabrication, welding, powder coat painting, final assembly, testing) to ensure on-time delivery (OTD) targets are met.
• Drive the implementation and application of Lean Manufacturing principles and Continuous Improvement initiatives (e.g., 5S, Standard Work, Waste Reduction) to enhance operational efficiency and reduce manufacturing cycle time.
• Monitor key operational metrics, including Overall Equipment Effectiveness (OEE), scrap rate, and labor utilization, taking corrective action as necessary.
• Coordinate with the Engineering department to manage the introduction of new products (NPI) smoothly into production and resolve complex manufacturing issues.

Quality and Safety

• Champion a rigorous Safety (HSE) program on the shop floor, ensuring all employees adhere to strict safety protocols and environmental compliance standards.
• Work closely with the Quality team to maintain high product quality, ensure compliance with the ISO 9001 standard, and manage in-process quality control gates.
• Lead and support teams in performing Root Cause Analysis (RCA) for production defects and implementing sustainable corrective and preventive actions (CAPA).

Team and Resource Management

• Directly supervise Production Supervisors, leading, mentoring, and developing the manufacturing workforce.
• Manage labor planning, scheduling, and capacity requirements to match demand fluctuations.
• Collaborate with Materials Planning, Purchasing and Logistics teams to optimize inventory levels and ensure the timely flow of components to the production line.

Qualifications

Education: Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or a related technical field.

Experience: Minimum of 7+ years of experience in a manufacturing environment, with at least 3 years in a management or senior supervisory role overseeing production operations.

Industry Knowledge: Hands-on experience in the heavy electrical equipment or similar industrial manufacturing sector is highly preferred as is familiarity with processes for MV products (e.g. electrical assembly, insulation processes).

Technical Skills:

• Proven expertise in Lean Manufacturing and Continuous Improvement methodologies.
• Strong working knowledge of manufacturing ERP/MRP systems and production scheduling tools.

Leadership: Exceptional problem-solving skills, decisiveness, and proven ability to manage and motivate a large, diverse manufacturing workforce in a fast-paced environment.

This is an ITAR facility and applicant must be a US Citizen or a lawful permanent resident.

Sanmina is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity

SBT is the exclusive retained recruiting firm for this position.

Company Overview

This confidential startup is a well-funded early-stage semiconductor company focused on advancing AI-driven design to address emerging challenges in the artificial intelligence ecosystem. The company is developing innovative technologies that leverage automation and machine learning to accelerate the design and development of complex analog semiconductor solutions. By applying AI to traditionally manual and time-intensive design processes, the organization aims to unlock faster innovation cycles and enable the next generation of AI hardware infrastructure.

Job Role

• Design and implement digital control logic for power management ICs
• Work closely with analog engineering teams to ensure effective integration between digital control blocks and analog power circuitry
• Develop high-quality, power-efficient RTL using Verilog or SystemVerilog to support key features
• Contribute to product readiness for manufacturing by supporting design-for-test methodologies
• Create and execute comprehensive verification strategies, including mixed-signal simulations and behavioral modeling

Qualifications

• BS or MS degree in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of experience in digital IC design, including significant experience developing solutions for mixed-signal or power management semiconductor products.
• Strong proficiency in RTL development using Verilog or SystemVerilog for synthesizable digital design.
• Hands-on experience designing digital control logic for power conversion systems, including control loops used in power management or DC-DC converter applications.

Technical Sales Account Manager (AI / Technology Accounts)

Experience: 5–10+ years

Industry: AI / Cloud / Enterprise Technology

About the Role

We are looking for a Technical Sales Account Manager with strong experience working with leading AI and technology-driven organizations such as Google, Slalom, Mphasis, Glean.AI or similar firms.

This role is ideal for someone who can blend technical expertise with strategic account management, helping grow and expand existing client relationships while identifying new opportunities within key accounts.

Key Responsibilities

Account Mining & Growth

Identify and develop opportunities within existing accounts

Drive revenue growth through upselling and cross-selling AI/technology solutions

Build long-term strategic account plans

Client Relationship Management

Establish and nurture relationships with key stakeholders and decision-makers

Act as a trusted advisor to clients by understanding their business and technical needs

Technical Sales Engagement

Work closely with engineering and product teams to deliver tailored solutions

Translate complex technical concepts (AI/ML, cloud, data platforms) into business value

Support solutioning, proposals, and client presentations

Collaboration

Partner with internal teams (delivery, pre-sales, product) to ensure successful execution

Coordinate across cross-functional teams to drive customer success

Required Qualifications

5+ years of experience in technical sales, account management, or client partner roles

Proven experience working with AI/ML, cloud, or data-driven solutions

Background with companies such as Google, Slalom, Infosys, Accenture, or similar consulting/tech firms

Strong understanding of:

AI/ML concepts

Cloud platforms (GCP, AWS, Azure)

Enterprise software solutions

Key Skills

Strong account mining and expansion skills

Excellent communication and stakeholder management

Ability to bridge business and technical conversations

Strategic thinking with a growth mindset

Highly client-focused and relationship-driven

Preferred Qualifications

Experience selling or supporting AI-driven solutions or platforms

Prior experience managing enterprise or Fortune 500 accounts

Technical background (Engineering, Computer Science, or related field)

What We’re Looking For

A technical-savvy sales professional who can engage deeply with engineering and business teams

Someone who thrives on building relationships and growing accounts

A proactive individual who can identify opportunities and drive them to closure

Senior Java/Kotlin engineer
Remote
6+ Month Contract: $70-$80 per hour
Our client is in search of a Senior Java Engineer for a 6+ month contract. You will lead the development and testing of our systems and services Participate in shaping the technical architecture of the product Help translate product requirements into user stories and technical solutions Deliver highly available and scalable services in a production environment Mentor other engineers, support the technical culture, and help grow the team Generate ideas for new initiatives and technologies Communicate with project leads, product managers and other software developers

• Systems Development: Lead and participate in the development and testing of our systems and services.
• Requirement Translation: Help translate product requirements into user stories and actionable technical solutions.
• Production Delivery: Deliver highly available and scalable services in a production environment.
• Cross-Functional Collaboration: Communicate effectively with project leads, product managers, and other software developers.

• Education: Bachelor's Degree in Computer Science or a related field.
• Experience: 4+ years of programming experience, ideally using a modern stack.
• Backend Expertise: 2+ years of experience with Java or Kotlin.
• Core Stack Knowledge: Familiarity with our environment ( Java/Kotlin, Spring, PostgreSQL, React) running on Kubernetes within a service-oriented architecture (100+ services).
• Database Proficiency: A solid understanding of relational databases and ORMs.
• Architecture: Experience working on SOA or microservice-based applications.
• Quality Standards: View Unit and Integration tests as first-class citizens in the software development lifecycle.
• Collaborative Workflow: Experience refining designs, performing code reviews, and managing pull requests in a team environment.
• Ownership & Mindset: * A solid sense of responsibility and the ability to drive projects from inception to completion

• Full-Stack Experience: Additional expertise in any of the following areas:
  • Systems: Kafka, Temporal, Docker, POSIX.
  • Databases: Deep PostgreSQL knowledge.
  • Front-End: JavaScript/TypeScript, React.

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Title: Lead Software Engineer - AI Application Platform

Mode of interview 1 round in person

Location: Must be in Charlotte, NC to work Hybrid Model

Main Skill set: Python, AI and Angular

Description:

Lead Software Engineer - AI Application Platform

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of the client, a sophisticated AI-powered application generation platform. This role suits a proven technical leader with deep, hands-on expertise across the full software stack who finds enabling a team to build better software deeply satisfying.

You will shape critical systems, mentor senior and junior developers through complex technical decisions, conduct rigorous code reviews across multiple technology domains, and directly influence the platform's trajectory through strategic engineering leadership.

This is for someone who:

• Engages thoughtfully when a junior developer asks targeted architectural questions—because you see an opportunity to shape how someone thinks about systems
• Takes time to explain subtle type-safety issues in code review, understanding that feedback is a teaching moment
• Can present architecture clearly to executives and confidently explain both what we're building and why it matters
• Finds more energy in the code your team ships than in the code you write individually
• Has proven depth across the full stack and a track record of developing engineers into stronger contributors

This is not a single-language codebase. The role requires the ability to make informed decisions on TypeScript design patterns, Python FastAPI architecture, AWS security posture, and Terraform state management in context with one another.

The Platform Challenge

The client is fundamentally a Platform-as-a-Service (PaaS) for dynamic application generation. This differs from building a traditional SaaS product. Rather than building one application, you're building infrastructure that enables users to build their own applications.

What this means architecturally:

• Dynamic Content Generation at Scale: Unlike traditional development where code is fixed, AppGen generates JSON form schemas, validation rules, and UI layouts on demand. The FormBuilder component doesn't know what fields will exist until runtime. The layout engine renders user-designed screens from configuration, not hardcoded templates.
• Multi-Tenant Isolation & Data Segregation: Each user gets their own generated app, potentially deployed to their own AWS environment. The architecture must account for data isolation, namespace management, and cross-tenant security considerations.
• User-Defined Data Structures: Traditional applications are built with predetermined database schemas. AppGen works differently—form structures, field types, and validation rules emerge from user conversations with Claude. This brings engineering challenges: How do you safely execute validation logic that users define? When users modify existing forms that have thousands of submissions, how do you maintain backward compatibility? How do you version schemas?
• Content Rendering, Not Code Generation: Unlike traditional no-code platforms where users drag-and-drop to build, AppGen uses AI instead. Users chat with Claude, Claude generates a form schema, and your platform renders that schema reliably across diverse field types, validation patterns, and workflows. The system renders configurations for immediate use, rather than generating code for later deployment.

Experience that directly transfers:

• You've contributed to or led development of low-code/no-code platforms (visual builders, workflow engines, configuration-driven systems)
• You've worked on SaaS platforms with multi-tenant architecture and understand isolation strategies, rate limiting, and per-customer customization
• You've built dynamic rendering systems that handle unknown/arbitrary schemas at runtime
• You've addressed the unique challenges of treating data configurations as user-created content (form builders, report designers, automation workflows)
• You understand the difference between platform infrastructure and applications built on that infrastructure—and the architectural implications of each

Core Responsibilities

1. Technical Architecture & Systems Thinking (40%)

• Shape architectural decisions across the full stack: How should the component layer handle dynamically generated forms? What's the right approach to validate complex cross-field dependencies in the FormBuilder? What separation of concerns makes sense between the Generator Lambda and the Parent Backend?
• Guide architecture discussions: Help senior developers think through design trade-offs. Should we use NgRx or Angular signals for this feature? When does a new Lambda function become worthwhile given cold-start costs?
• Identify and address system-wide bottlenecks: Work across layers to improve performance. Explore Lambda cold-start optimization, RDS query efficiency, and DynamoDB access patterns.
• Establish patterns and guide consistency: Define coding conventions that work across Python, TypeScript, and Terraform. Help new team members understand the reasoning behind architectural choices.
• What this looks like in practice: You're able to justify architectural decisions with technical reasoning. When someone questions an approach, you can explain the trade-offs you considered. You can write code in multiple languages to validate an approach if needed.

2. Code Review & Technical Guidance (30%)

• Full-stack PR reviews: Review Python FastAPI endpoints and Angular components with equal depth, understanding how they interact.
• Deep technical review: Catch issues thoughtful code review can surface:
• RxJS Observable lifecycle and potential memory patterns in Angular
• Query efficiency and data loading patterns in SQLAlchemy
• Terraform module organization and state management implications
• Type safety and TypeScript coverage gaps
• AWS security and IAM configurations
• Educational feedback: Your code reviews help the team learn. When you identify an issue, reviewees understand not just what changed, but how to think about similar problems in the future.
• Define quality expectations: Work with the team to establish what "production-ready" means for this platform and support consistent application of those standards.
• What this requires: Experience reviewing code across teams and multiple languages. You know how to write feedback that resonates—clear, constructive, and focused on helping people improve.

3. Mentorship & Team Development (20%)

• Expand specialist capabilities: Help backend specialists learn to contribute to the forms-engine. Support frontend experts in understanding FastAPI patterns.
• Accelerate junior developers: Pair on complex problems. Explain the reasoning behind patterns like DataState. Connect architectural choices to implementation details and performance implications.
• Identify and address gaps: Recognize when someone is struggling with a technology and provide targeted support—training, pair programming, or guidance through architectural decisions.
• Create growth opportunities: Stretch the team into new areas. A backend engineer working on their first Terraform contribution. A frontend specialist implementing an AWS Lambda authorizer.
• What this requires: Genuine investment in people's growth. You've walked developers through major transitions (generalist to specialist, specialist to full-stack, or into new technology areas). You understand that team strength grows when individuals expand their capabilities.

4. Stakeholder Communication & Technical Leadership (10%)

• Explain to diverse audiences: Translate architectural choices and trade-offs for product managers, executives, and business stakeholders. Connect "optimizing DynamoDB queries" to "improving form submission latency by 30%."
• Shape technical direction: Contribute the engineering perspective on feasibility, risk, and what unlocks future capabilities.
• Support release confidence: You understand the code changes, comprehend the risks, and know what to monitor. You can stand behind releases.

Required Qualifications

Technical Skills

Frontend (Production Experience)

• 5+ years of Angular (including handling version migrations, optimizing change detection, and guiding teams through reactive patterns)
• Strong TypeScript skills with generics, discriminated unions, and strict mode
• RxJS depth: You understand hot vs. cold observables, unsubscription patterns, and can identify potential memory issues in reviews
• NgRx state management: You've designed stores at scale, optimized selectors, and evaluated architectural implications
• CSS Grid & Responsive Design: You can assess component hierarchy and layout decisions
• Material Design: You've worked within it and know when and how to extend it

Backend (Production Experience)

• 5+ years of Python (async/await, type hints, data modeling)
• FastAPI production experience: session management, dependency injection, middleware
• SQL and ORMs (SQLAlchemy): You write efficient queries and review them critically
• AWS services: Understanding of Lambda behavior, IAM least-privilege patterns, VPC networking
• REST API design: Versioning, error handling, idempotency
• Testing frameworks: pytest, testing st

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION