Engineering Structures Jobs in New York Remote
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About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
About Sales Strategy & Operations
As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large.
This role sits within the SS&O team supporting Global Agency Sales, partnering closely with the VP, Global Agency Sales and regional Agency Sales leaders to shape how Pinterest shows up with the world's largest media holding companies and independent agencies.
What You'll Do:
Reporting to the Senior Director of Sales Strategy & Operations, and in close partnership with the VP, Global Agency Sales, you will develop and bring to life datadriven strategies that deepen Pinterest's partnerships with media agencies and accelerate revenue growth across our agency portfolio. In this role, you will:
Partner with Global and Regional Agency Sales leadership to define and deploy critical strategic, organizational and operational initiatives that improve agency health, drive revenue growth, and increase sales productivity across holding companies and key independents.
Shape Pinterest's global agency strategy and planning by developing frameworks for agency segmentation, coverage models, deal governance, and account planning that reflect agency structures (holding companies, networks, operating companies, and buying units).
Lead the analysis of agency business performance (revenue, forecast, sales pipelines, agency deals, investment mix, portfolio health, margin and incentives) to identify opportunities, risks and gaps - including recurring agency business reviews and adhoc deep dives; translate complex data into clear, actionable insights and recommendations for sales and executive stakeholders.
Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to align on priorities and ensure agencyfocused initiatives, products, and tools (including agency planning and reporting tools) are designed and launched in ways that meet agency needs and drive measurable impact.
Build scalable reporting, tooling and operating cadences to monitor agency health and program performance (e.g., global agency metrics reviews, dashboards, and playbooks), ensuring the broader sales org can easily understand performance and act on insights.
Structure and execute complex, crossfunctional projects endtoend: define problem statements, build work plans, gather and synthesize quantitative and qualitative inputs, lead analyses, align stakeholders, and drive decisions and execution.
Operationalize new initiatives and sales workflows (process, org, systems) for scale across regions, including shared playbooks, new sales processes and workflows, standardization of existing sales processes, and improved systems that enable an "alwayson" agency business and reduce duplication of effort across markets.
What We're Looking For:
7+ years of professional experience in strategy & operations in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations).
Familiarity with global media agencies - including holding company and operating company structures, investment and trading teams, planning and buying functions, how agencies make investment decisions and evaluate partners, and how agency operating models inform global deals, JBPs and enablement programs.
Exceptional analytical and quantitative skills, with a strong ability to analyze and manipulate large, complex datasets (e.g., revenue, pipeline, pricing, incentives, media performance) to generate clear insights, identify trends, and translate them into structured opportunities and recommended actions.
Proven experience building dashboards, reporting and decision frameworks that help senior leaders quickly understand business performance and take action; familiarity with tools such as SQL, Salesforce and Tableau is a plus but not required.
Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual plans, forecast revenue, drive org design, and hold teams accountable to revenue and investment commitments.
Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.
Excellent executive communication skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control.
Organized, detailoriented and strategically focused, with a track record of driving impact in complex, matrixed, and fastmoving environments.
Bachelor's degree in a relevant field such as business, economics, statistics, or a related field, or equivalent practical experience.
InOffice Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role will need to be in the office for inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the New York City office.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$155,644—$272,377 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Urban Planner / Architect / Engineer Project Manager
Real Estate Development
Company Overview:
We are a small but prominent real estate development company based in New York City, specializing in the conversion of office buildings into residential condos and rentals, as well as the construction of new ground-up rental and condo buildings in both New York City and nearby New Jersey. With a strong commitment to excellence and innovation, we take pride in transforming urban landscapes and creating spaces that enhance communities.
Position: Project Manager
Location: New York City, NY
Responsibilities:
- Provide comprehensive administrative support to the project manager in overseeing various real estate development projects.
- Coordinate project timelines, schedules, and deliverables to ensure timely completion.
- Assist in managing project budgets, expenses, and financial documentation.
- Conduct research and analysis related to architectural design, engineering, real estate finance, or construction as needed.
- Collaborate with cross-functional teams including architects, engineers, contractors, and financial analysts.
- Prepare and distribute reports, presentations, and correspondence as required.
- Maintain accurate project records and documentation.
Requirements:
- Bachelor's degree in Architecture, Engineering, or Real Estate Development.
- 3+ years of experience in real estate development, architecture, engineering, or finance.
- Strong organizational skills with the ability to prioritize tasks and manage multiple projects simultaneously.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
- Proficiency in Microsoft Office Suite and project management software.
- Detail-oriented with a commitment to accuracy and quality.
Preferred Qualifications:
- Experience in architecture, engineering, or real estate development.
- Knowledge of zoning regulations, building codes, and permit processes in New York City and New Jersey.
- Familiarity with financial modeling, budgeting, and forecasting in real estate development.
- Understanding of architectural and engineering design principles and the software utilized to bring those designs to life.
Benefits:
- Competitive salary commensurate with experience.
- Comprehensive health, dental, and vision insurance plans.
- Paid time off and holidays.
- Professional development opportunities and career advancement potential.
Experience level:
- 3 year minimum
Shift:
- 8 hour shift
Weekly day range:
- Monday to Friday
Ability to Relocate:
- Manhattan, NY: Relocate before starting work (Required)
Work Location: In person
Job Type: Full-time
Salary: $125,000
Benefits:
- Dental Insurance
- Health insurance
- 401k with match
- Paid time off
- Professional development assistance
- Tuition reimbursement
- Vision insurance
Ability to Relocate:
- Manhattan, NY: Relocate before starting work (Required)
Executive Producer / Head of Digital Project Management
About the Role
A large digital transformation marketing agency is seeking a dynamic Head of Project Management to lead the delivery organization responsible for large‑scale digital transformation initiatives. This executive‑level role oversees complex programs spanning CMS modernization, enterprise website redesigns, marketing technology implementations, and multi‑channel content ecosystems. You’ll shape the operational backbone of the organization—elevating delivery frameworks, strengthening Agile maturity, and empowering teams to execute with precision and innovation.
This is a pivotal leadership position for someone who thrives at the intersection of digital strategy, technology, and operational excellence.
Key Responsibilities
Digital Program & Delivery Leadership
• Oversee the successful delivery of enterprise‑level digital initiatives, including CMS replatforming, website redesigns, personalization programs, and martech ecosystem enhancements.
• Serve as the senior delivery leader across cross‑functional teams—engineering, UX/UI, content, data, and marketing operations.
• Establish scalable Agile delivery frameworks, governance models, and communication structures that support transparency and predictable outcomes.
• Translate business and technical requirements into actionable roadmaps, sprint plans, and release strategies.
• Drive risk management, dependency mapping, and issue resolution across multi‑workstream programs.
• Ensure rigorous QA, UAT, and launch readiness processes for all digital products and platforms.
Operational Excellence & Financial Stewardship
• Build and refine outcome‑based scopes, delivery models, and commercial structures that support digital transformation at scale.
• Oversee project financials, ensuring accurate forecasting, budget tracking, and scope alignment across all programs.
• Partner with finance and executive leadership on quarterly reconciliation, reporting, and long‑range planning.
• Develop and maintain resource management frameworks to optimize team allocation, utilization, and capacity planning.
• Champion continuous improvement across delivery processes, Agile practices, tooling, and operational workflows.
Leadership & Team Development
• Lead, mentor, and grow a high‑performing Project Management organization, fostering a culture of accountability, collaboration, and innovation.
• Define career paths, performance expectations, and development plans for Project Managers and Program Managers.
• Assign programs based on skill sets, capacity, and strategic priorities to ensure balanced workloads and strong outcomes.
• Promote best‑in‑class communication, documentation, and stakeholder engagement across all delivery teams.
Required Qualifications
• 10+ years of digital project or program management experience, with at least 4+ years leading teams or departments.
• Proven success overseeing large‑scale digital transformation initiatives such as CMS migrations, enterprise website redesigns, martech platform implementations, or customer experience modernization.
• Deep understanding of Agile methodologies (Scrum, Kanban, SAFe) and hands‑on experience with Agile delivery tools (Jira, Confluence, Asana, etc.).
• Strong knowledge of web technologies, UX/UI principles, content operations, and modern martech stacks.
• Exceptional communication and stakeholder management skills, with the ability to influence at all levels of the organization.
• Demonstrated ability to lead cross‑functional teams and manage complex, multi‑workstream programs.
• Strong analytical, organizational, and problem‑solving capabilities.
• Bachelor’s degree in a relevant field or equivalent experience.
The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.
At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.
Strategic Account Executive - AI Data ServicesHumanSignal is looking for an exceptional Strategic Account Executive to drive growth with the world's most innovative AI companies. You'll be selling at the cutting edge: our Label Studio platform and Data Creation Laboratory services power the training data behind breakthrough AI applications at frontier labs and Fortune 500 enterprises.
This isn't traditional SaaS sales. Our customers are building the futureadvanced language models, autonomous systems, embodied AI, and applications that don't exist yet. They need purpose-built datasets manufactured from scratch, not scraped from the web. You'll be selling both our platform technology and our operational capability to create novel training data in controlled environments. The technical depth, deal complexity, and strategic importance of these relationships make this one of the most exciting sales roles in AI infrastructure.
You'll own relationships with AI leaders like Anthropic, OpenAI, Google DeepMind, Meta, Nvidia, Tesla, and others pushing the boundaries of what's possible. Your success will directly enable the next generation of AI breakthroughs.
You Will:
- Own strategic accounts: Drive the entire relationship with our most important AI customersfrom initial engagement through expansion and renewal
- Hunt and close new logos: Identify and win new customers among frontier AI labs, tech giants building AI capabilities, and innovative robotics companies
- Navigate complex organizations: Build deep relationships with executive stakeholders across engineering, ML research, product, and operations within customer organizations
- Drive revenue growth: Expand wallet share by identifying new use cases, additional business units, and opportunities to deepen our partnership
- Orchestrate internally: Lead cross-functional teams including delivery operations, engineering, product, and laboratory operations to develop winning strategies and flawless execution
- Be the customer advocate: Serve as the voice of the customer internally, influencing product roadmap and operational capabilities based on market needs
- Solve complex problems: Navigate technical requirements, custom data creation scenarios, and novel use cases that have never been done before
- Think strategically: Develop and execute comprehensive account plans that position HumanSignal as the long-term data infrastructure partner
- Close significant deals: Structure and negotiate contracts ranging from $500K to $5M+ with sophisticated technical and business buyers
Ideally You'd Have:
- 8+ years of enterprise sales or account management experience with a track record of exceeding quota
- 2+ years selling deeply technical products or services to both business and technical audiences (ML engineers, researchers, AI/ML leaders)
- Proven success closing complex, multi-stakeholder deals in the $500K-$5M+ range
- Experience in AI/ML, data infrastructure, cloud services, or other technical domains where you've sold to engineering and research teams
- Ability to understand technical concepts quickly and translate them into business value
- Strong consultative selling skills with ability to uncover needs, navigate ambiguity, and co-create solutions
- Executive presence and experience developing relationships with C-level stakeholders
- Track record of driving renewals and expansion within strategic accounts
- Excellent written and verbal communication skills, including creating executive-level materials
- Proficiency with modern sales tools (Salesforce, Outreach, Clari, LinkedIn Sales Navigator)
- Strong project management abilities and exceptional organizational skills
- Passion for AI and excitement about working at the frontier of what's possible
Nice to Haves:
- Technical background or degree in Computer Science, Engineering, or related field
- Experience selling services alongside software products
- Understanding of how training data impacts model performance
- Existing relationships within the AI research or frontier lab community
- Experience in fast-growing startups where you've helped build sales processes from scratch
Why This Role Is Special:
You're not selling commodity softwareyou're enabling the teams building AGI, autonomous vehicles, humanoid robots, and AI applications we can't even imagine yet. Every deal you close helps unlock new capabilities that could change the world. You'll work with the smartest people in AI, solve problems that have never been solved before, and build relationships with companies defining the future of technology.
About HumanSignal:
At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.
We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.
We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.
We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status. At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $120,000 to $200,000 USD plus commission. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
A real estate firm recognized for curating some of New York’s most architecturally significant and culturally resonant buildings is seeking an Administrative Assistant to join the Property Management team.
Who You Are
- You have 1+ years of experience providing administrative support to commercial or residential property management teams
- Professional communicator comfortable interacting with tenants, vendors, and internal stakeholders
- Familiar with property management and accounting platforms including Prism (Building Engines), Yardi, and Payscan
- Highly organized with strong attention to detail and proficient in Microsoft Word, Excel, and PowerPoint
What You’ll Do
- Provide administrative coordination for a property management team overseeing commercial real estate operations
- Schedule meetings, inspections, and appointments while maintaining organized calendars
- Act as a primary tenant contact for general questions and route service needs to the appropriate team members
- Monitor and track maintenance requests and vendor service orders to ensure timely completion
- Assist with invoice processing, billing support, and related administrative accounting functions
- Prepare reports, correspondence, and presentation materials for the team
- Maintain structured digital and paper filing systems and assist with general office support tasks
What Success Looks Like
- Tenant communication, vendor coordination, and scheduling are handled efficiently
- Work orders and property records remain organized, accurate, and accessible
- Administrative and billing processes are completed reliably and on schedule
- The property management team receives consistent operational support that keeps daily activities running smoothly
Salary Range: $55,000 – 65,000 annually, based on experience
Location: New York, NY – On site
Gainor is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Gainor are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, creed, sex, sexual orientation, gender (including gender identity and expression), age, national origin, immigration status, marital or familial status, citizenship status, ancestry, physical or mental disability, genetic information, reproductive health decision making, veteran or military status, or any other characteristic or status protected under applicable federal, state, or local law.
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.
Bonus Skills
Banking or finance experience Experience scaling highly available, mission critical systems Full-stack experience, either toward systems (kafka, temporal, docker), databases (DynamoDB), or front-end (javascript/typescript, react).
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at .
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.
Remote working/work at home options are available for this role.
RESPONSIBILITIES:
- Architect, design, and maintain scalable CI/CD pipelines using Azure/AWS DevSecOps.
- Build and optimize Docker-based microservices, images, and deployment pipelines.
- Lead deployments across Docker Swarm, Kubernetes/EKS, and multi-location environments.
- Develop infrastructure automation using Ansible, bash scripting, Terraform and Git-based workflow.
- Manage release pipelines using container registries, artifact feeds, template pipelines, and multi-stage workflows.
- Design multi-environment strategies for dev, QA, staging, and production deployment.
- Implement cloud-native services with AWS & Azure cloud platforms.
- Implement basic security practices, including IAM roles, secrets management, and access controls.
- Develop secure, modular, reusable build and release systems.
- Work closely with full-stack engineering teams (Angular, Java, Python , backend APIs, database engineers).
- Mentor junior DevOps engineers and lead DevOps roadmap decisions.
KNOWLEDGE REQUIREMENTS:
DevOps Expertise:
Azure DevOps pipelines, YAML templating, CI/CD strategy, Git branching models.
Containerization & Orchestration:
Docker images, Docker Compose, Docker Swarm, multi-node/multi-location deployments.
Cloud Technologies:
Azure deployments & infrastructure, AWS (IAM, Lambda, S3, CloudWatch).
Programming / Scripting Languages:
Python, Bash, Linux/Unix administration, awk, shell automation, groovy.
Infrastructure Automation:
Ansible playbooks, tasks/roles, inventory design, configuration management.
Distributed Deployment Architecture:
Multi-site replication, node selection by IP, dynamic service routing.
Database Stack Experience:
PostgreSQL, MySQL, MariaDB operations & migrations.
Observability & Logging:
CloudWatch monitoring, log collection, Prometheus, Grafana, reporting & metrics.
Version Control & Build Systems:
Azure Devops, Git, Git submodules, artifact storage, registry solutions, Secrets Management.
Nice to have AI knowledge/experience and willingness to learn.
EDUCATION & EXPERIENCE REQUIREMENTS
- BS degree in Electrical/Computer Engineering, Computer Science or related field. MS preferred.
- 7+ years experience in a software devops/development/test capacity with enterprise server, storage or networking products.
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
The Principal Mechanical Design Engineer (Data Center Infrastructure) is a technical leader responsible for the architecture, integration, and validation of advanced mechanical systems supporting hyperscale data center environments. This role requires deep expertise in liquid cooling technologies (single-phase and two-phase), hydronic system design, structural integration, and manufacturable rack-level infrastructure solutions.
This role is responsible for defining system performance requirements, developing technical specifications, selection and integration of critical components, and leading mechanical design from concept through production release. Responsibilities include wetted material selection, thermal and structural analysis, fastening strategies, component layout, and design for manufacturability. Partners cross-functionally to deliver reliable, scalable, and cost-effective Data Center Infrastructure solutions while advancing innovation in liquid cooling performance.
What will you do?
- Lead the end-to-end mechanical design and engineering of hyperscale Data Center Infrastructure (DCI) systems, including liquid-cooled rack assemblies, CDUs, manifolds, enclosures, structural frames, and associated hydronic piping systems.
- Serve as the technical authority for single-phase and two-phase liquid cooling architectures, including primary and secondary loop design, in-rack distribution, and system integration within hyperscale data center environments.
- Define and validate operational performance requirements for liquid-cooled infrastructure, including pressure ratings, hydrostatic limits, temperature ranges, flow rates and uniformity, thermal expansion, durability, and serviceability.
- Design, analyze, and validate machined components, welded fabrications, manifolds, and structural systems using advanced engineering principles, including stress analysis, finite element analysis (FEA), flow modeling, and structural load calculations to ensure mechanical integrity and code compliance.
- Lead wetted material selection and compatibility analysis for liquid cooling systems, including corrosion mitigation strategies, surface treatments, cleanliness standards, and long-term durability considerations.
- Develop and review CAD models and complete technical data packages using CREO, SolidWorks, or equivalent tools; ensure design accuracy, manufacturability, and system-level integration.
- Author and approve technical specifications for piping systems, rack-level cooling infrastructure, and hydronic components, including installation guidelines, maintenance procedures, testing requirements, and compliance with applicable standards (ASME, ISO).
- Establish and oversee validation protocols including hydrostatic pressure testing, leak detection and mitigation, flow resistance analysis, and corrosion verification to ensure regulatory compliance and operational reliability.
- Evaluate customer design proposals and technical specifications to assess feasibility, manufacturability, cost, and risk; provide recommendations to optimize performance and total cost of ownership.
- Lead cross-functional design reviews with electrical, thermal, manufacturing, quality, and supply chain teams to ensure full system integration and compliance with product specifications and applicable plumbing and hydronic codes.
- Optimize rack manifold design and manufacturing processes, including machining, welding, surface finishing, connection interfaces, venting and draining strategies, and flow path optimization to enhance performance and manufacturability.
- Drive continuous improvement in manufacturing assembly methods and tooling in collaboration with production teams and equipment vendors to improve quality, scalability, and cost efficiency.
- Lead root cause investigations for complex mechanical failures identified during validation or field deployment and implement corrective design improvements.
- Provide technical leadership in vendor qualification and management for mechanical components and liquid cooling subsystems.
- Identify and mitigate technical risks impacting performance, schedule, or cost, and contribute to R&D initiatives advancing liquid cooling technologies and system innovation.
MINIMUM QUALIFICATIONS
Education:
- Bachelor’s degree in Mechanical Engineering, Systems Engineering, or a related engineering discipline from an accredited university.
Experience:
- 8 years' experience in mechanical design and integration of mission-critical systems.
- Proven track record of successful system designs and implementations in a relevant industry
- Strong understanding of mechanical systems, integration strategy, and system coordination
- Familiarity with industry standards and regulations related to Energy Storage Systems and Data Center Infrastructure is preferred.
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork abilities
PREFERRED QUALIFICATIONS
- Master’s Degree in Mechanical Engineering
- Professional Engineer (PE) License
Remote working/work at home options are available for this role.
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
Remote working/work at home options are available for this role.
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:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - 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
Apply NowShare Save JobRemote working/work at home options are available for this role.