Engineering Jobs in Wakefield Middlesex County Ma Remote
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Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance
Join us to build the technical foundation for AI accountability.
The Role
Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.
We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.
The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.
What You'll Do
Months 1–3: Learn the System
Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.
Months 4–6: Build for Scale
Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.
Months 7–12: Expand
Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.
Why This Role Is Difficult
This is infrastructure for a scientific standard, not a product feature.
Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.
You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.
The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.
You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.
You're probably the right person if
You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime
You're comfortable with GCP and have deployed containerized workloads in a real production context
You've worked with LLM APIs and understand their reliability and reproducibility characteristics
You can read a paper about measurement methodology and turn it into a working data structure
You build for durability. Your code is still running 18 months later because you thought about the next person
You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook
You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow
You're probably not the right fit if
Enterprise environments make up most of your experience. This is not a large-team context
You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists
You're based on the West Coast US or expect West Coast US working hours
You mainly build user-facing APIs and features — this is systems and infrastructure work
You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.
Hard Skills
These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.
- Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
- Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
- API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
- Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
- LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
- Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
- Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
- Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically
What you get
The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.
The comp: Base salary $110,000.
The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).
The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.
The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.
Job Overview
We are seeking a highly skilled Mechanical Engineer to support the development of advanced mechatronics and automation systems. The ideal candidate will have strong experience in mechanical design, prototyping, and production-level development, with the ability to work efficiently in a fast-paced engineering environment.
This role involves working on innovative mechanical assemblies integrated with electronics and automation systems, supporting the entire product lifecycle from concept and prototyping to production deployment.
Key Responsibilities
- Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks.
- Perform mechanical tolerance stack-up analysis and engineering calculations.
- Develop mechanical assemblies for electronics and automation systems.
- Support rapid prototyping and production tooling processes.
- Collaborate with cross-functional engineering teams to ensure design feasibility and manufacturability (DFM).
- Manage engineering data and product lifecycle using Agile PLM tools.
- Document engineering designs and communicate technical concepts through reports and presentations.
- Support prototype deployment and testing, including occasional travel to East Coast sites.
Required Qualifications
- Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field.
- Strong proficiency in SolidWorks MCAD for 3D modeling and 2D drafting.
- Experience with Agile PLM systems.
- Solid knowledge of mechanical assemblies, electronics integration, and automation design.
- Expertise in mechanical tolerance analysis and stack-ups.
- Hands-on experience with rapid prototyping and production tooling.
- Strong project management and problem-solving skills.
- Excellent communication and technical documentation skills.
Preferred / Additional Skills
- Thermal Simulation Analysis
- Structural Load Analysis
- Experience working in automation, robotics, or mechatronics environments
Work Environment
This position is onsite and involves collaboration with engineering teams working on cutting-edge mechatronics and automation systems. The role provides the opportunity to contribute to innovative product development from concept through production deployment.
POSITION TITLE: Principal Software Engineer
REPORTS TO: Director of Engineering
LOCATION: Remote / Hybrid in Boston area
About InSite Health
InSite Health is on a mission to expand access to high-quality behavioral health care for students and families. Our engineering team builds the technology that powers clinical excellence, operational efficiency, and meaningful outcomes across the schools and communities we serve.
We're looking for a Senior Software Engineer who thrives in a fast-moving environment, enjoys solving complex technical challenges, and wants to impact real-world mental health care delivery.
This is an individual contributor role ideal for someone who loves building robust, scalable systems and collaborating closely across product, clinical, and operational teams.
What You'll Do
Core Engineering Work
- Design, build, and deploy scalable, secure, and compliant systems across front-end, back-end, and data layers
- Development and maintain infrastructure-as-code system (CDK) to enable new features and improve reliability and security.
- Develop features and technical solutions in partnership with Product and Engineering leadership
- Debug, monitor, and optimize systems for speed, reliability, and user experience
Systems Design & Integrations
- Build data pipelines and integrations with EHRs, student information systems, and internal platforms
- Enhance workflow automation to improve clinical and operational efficiency
- Implement HIPAA-compliant architecture, access control, and data protections
Cross-Functional Collaboration
- Work closely with the VP of Product and Director of Engineering
- Translate technical requirements into scalable solutions that support organizational priorities
- Provide leadership and mentoring to less experienced developers
You'll Be Measured On
- Timely delivery of high-quality product features and system improvements
- System uptime, data integrity, and security compliance
- Efficiency improvements from workflow automation
- Successful integrations across clinical and data systems
- Satisfaction from internal teams and cross-functional partners
What We're Looking For Required Qualifications
- 7+ years of experience building and maintaining data-intensive platforms
- Strong understanding of system architecture, cloud infrastructure, and API integrations
- Experience with Agile development and strong operational discipline
- Excellent communication skills across technical and non-technical groups
- Experience with React.js and frameworks such as Next.js
- Fluency in JavaScript (TypeScript preferred) and SQL
- Experience with AWS (e.g., ECS, Lambda, CloudFormation, Cognito), MongoDB/Amazon DocumentDB, and HIPAA-compliant systems
- Familiarity with Jest or similar testing frameworks
Preferred Qualifications
- Experience in healthcare or knowledge of regulatory standards (e.g., HIPAA)
- Background in EdTech or experience working with school systems
- Experience with mobile development (e.g., React Native)
- Prior experience in a startup or high-growth environment
Who You Are
You bring curiosity, ownership, and initiative to your work. You're comfortable navigating complexity, thinking strategically, and collaborating with diverse teams. You enjoy building systems that people rely on — and you care deeply about getting things right.
Why Join InSite Health?
- Mission-driven work with direct impact on student mental health
- Collaborative, supportive engineering culture
- Opportunity to shape systems from the ground up
- Flexible remote/hybrid environment
- If you're looking for a role where your technical expertise helps improve lives, we'd love to hear from you.
About the Company
Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.
Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.
About the Role
Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.
This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.
The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
- Build configuration-driven ingestion processes to support batch and near real-time data pipelines
- Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
- Design and document data models, data flows, and data dictionaries to support enterprise analytics
- Implement Lakehouse architecture using Medallion data modeling patterns
- Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
- Maintain the health, security, and scalability of the Azure-based data platform
- Implement best practices for data governance, metadata management, lineage, and access control
- Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
- Implement monitoring, alerting, and observability for data pipelines and platform performance
- Optimize data pipelines for performance, scalability, and cost efficiency
- Work cross-functionally with engineering, product, and business teams to define and deliver data products
- Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
- Mentor junior engineers and contribute to the ongoing development of the data engineering team
- Stay current on emerging technologies and best practices in data engineering
Qualifications
- 7+ years of professional experience in data engineering or data platform development
- Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
- Experience building scalable ETL / ELT data pipelines
- Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
- Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
- Experience with Power BI, SSRS, or other reporting platforms
- Hands-on experience with CI/CD pipelines and DataOps practices
- Familiarity with data governance, data quality, metadata management, and MDM
- Experience working in Agile development environments
- Strong communication and collaboration skills with the ability to work across technical and business teams
- Experience mentoring or guiding other engineers is a plus
About You:
We are seeking a Senior Software Engineer with strong experience in DO-178C flight software development and avionics integration. In this role, you will design and implement safety-critical autonomous flight software, integrate it with avionics hardware platforms, and contribute to certification-ready development processes.
Responsibilities:
- Develop, integrate, and verify flight-critical software using C/C++ following DO-178C processes.
- Build application-level flight software and ensure robust integration with underlying avionics hardware interfaces
- Create, maintain and review software requirements, code and certification artifacts adhering to certification plans and standards
- Troubleshoot integration issues on test benches and aircraft
- Develop automated workflows for software integration and build processes.
- Collaborate with engineers from cross functional groups such as systems, safety, hardware, flight controls and test to ensure product and program level needs are met.
- Contribute to planning and execution of SOI audits and certification reviews.
- Create and maintain comprehensive documentation for software requirements, architecture, build processes and design decisions
- Support hardware-in-the-loop (HIL), processor-in-the-loop (PIL), and flight testing activities.
Qualifications:
- Bachelor's or Master's in Computer Science, Electrical Engineering, Aerospace, or related field.
- 3-5 years of embedded or flight software development experience within a DO-178C environment.
- Strong proficiency in C/C++ for embedded, real-time, safety-critical systems.
- Understanding of avionics protocols and architectures (ARINC 429, ARINC 653, CAN, MIL-STD-1553, Ethernet).
- Experience designing and implementing software for real-time operating systems (RTOS), with strong knowledge of low level topics such as device driver development, interrupt handling, memory management, and performance estimation.
- Strong experience with requirements management, including authoring high-quality software requirements, maintaining traceability, and using tools such as DOORS, Jama, or Polarion.
- Experience with hardware/software integration, debugging on target hardware, and use of analysis tools (logic analyzers, bus analyzers).
- Experience with Python scripting, tool automation and test automation
- Experience with CI/CD environments and automated code quality checks.
Nice To Have
- Background integrating software across diverse avionics platforms or multicore systems.
- Familiarity with flight controls, autonomy, GNC, or aircraft certification efforts.
- Exposure to MathWorks tools and Model-Based Development workflows (DO-331).
- Prior involvement in SOI audits or FAA/EASA certification programs.
Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG
ODI Developer - Hybrid Onsite in Boston MA - USC OR GC ONLY (No Visas)
- Location: Boston, MA
- Hybrid: 3 days on site
- Potential Convert: Yes, USC/GC ONLY no exceptions. WILL NOT SPONSOR
- ETL/ELT
- ODI
- PL/SQL coding
- 7 years’ experience
- Knowledge on how to be an admin side of things (not day to day but is able to do that)
- Scripting – Python & Unix Scripting
Seeking a highly skilled and experienced Sr. ODI Developer to join our Private Banking Systems team. The ideal candidate will possess expertise in a range of technologies, including ODI (Oracle Data Integrator), Oracle Data Warehouse, Linux, Python scripting, and have a deep understanding of the Banking domain is a big plus. As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data solutions.
Key Responsibilities:
- Build ODI mappings/interfaces, packages, procedures, scenarios, topology configuration, ODI Agent and load plans to integrate data from multiple enterprise systems.
- Expertise in building Pl/SQL queries, procedures, data loading process, ensuring high-performance and scalability to meet the evolving data needs of the various applications.
- Design, develop, and maintain ETL/ELT pipelines using Oracle Data Integrator (ODI).
- Collaborate effectively with cross-functional teams, including other data engineers, DBA group, analysts, and business stakeholders, to understand data requirements and deliver solutions.
- Monitor and troubleshoot RMJ jobs, ODI workflows, sessions, agents, and data pipelines on Linux environments.
- Perform root cause analysis for failures related to ODI workflows, RMJ jobs, network connectivity, API integrations, and file transfers.
- Optimize ETL workflows to improve reliability, performance, and scalability.
- Use scripting and automation tools to support data processing and operational workflows.
- Work in Linux/Unix environments, using command-line tools and shell scripts for job automation and troubleshooting.
- Maintain comprehensive documentation of data processes, configurations, and best practices.
- Participate in walk-throughs which review program specifications, source code, and all technical supporting documentation, including screens/reports. Provide feedback in accordance with team standards and guidelines.
- Participate in implementation of changes, enhancements, and newly developed programs.
- Conduct technical research and provide recommendations, develop proofs of concept or prototypes, contributing to technical design of applications.
- Helping to identify coding patterns and anti-patterns and enforce implementation of the patterns through code reviews.
- Quickly resolving issues encountered by business lines in the production environment, maintaining a helpful, "high touch" approach to working with business users, performing root cause analysis, technology evaluation, and performance tuning.
Desired Qualifications:
- Degree in Computer Science, Engineering or related technical area
- 7+ years of extensive hands-on experience in ODI, Oracle Datawarehouse, Oracle PL/SQL, Linux, Python scripting, and ODI admin module (ODI Agent setup, logs configuration, certificate installation).
- Must have experience in building Pl/SQL queries for Oracle Server (incl. stored procedures, functions…) and must understand basic principles of data modeling
- Excellent collaborative and communication skills, particularly in high-stress situations
- Experience with scripting Python and Linux scripting, CLE, networking fundamentals (API, IP/ports, SFTP/FTP connectivity)
- High proficiency in development practices: unit testing, Continuous Integration (CI/CD), refactoring, clean code
- Experience with Bitbucket/GIT source control management
- Problem solving skills, able to determine upcoming risks & issues and address them accordingly.
- Ability to interpret and troubleshoot applications using logs.
- Pro-active approach and good communication skills.
- Experience with agile methodologies (Scrum, Kanban) and tools (Jira)
- Private Banking domain experience.
- Working experience in a financial service industry
- Financial application knowledge like FIS AddVantage, CRD, CRM Pivotal.
- Experience with Apache Airflow for workflow orchestration.
- Knowledge of dbt (Data Build Tool) for modern data transformations.
- Exposure to cloud data platforms or hybrid data architectures.
Key Competencies:
- Strong analytical and problem-solving skills
- Ability to work with large-scale enterprise data environments
- Excellent collaboration and communication skills
- Ability to manage multiple priorities in a fast-paced environment
- Commitment to continuous learning and technology innovation
Estimated Min Rate: $55.00
Estimated Max Rate: $72.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: working/work at home options are available for this role.
Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.
The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.
Core Responsibilities
Financial Close & Reporting
- Manage critical components of the monthly and quarterly close cycle
- Prepare journal entries, account reconciliations, and analytical reviews
- Perform detailed variance and trend analysis to support reporting accuracy
- Ensure results align with U.S. GAAP and corporate reporting policies
Compliance & Audit Coordination
- Support both internal and external audit activities
- Prepare audit documentation, schedules, and regulatory support files
- Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements
Cross-Functional Partnership
- Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
- Assist in evaluating complex transactions and operational impacts on financial reporting
Process Optimization & Controls
- Identify opportunities to enhance efficiency across end-to-end accounting workflows
- Contribute to initiatives aimed at improving internal controls and accelerating close timelines
- Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability
Special Projects & Systems
- Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
- Assist in financial modeling, business case analysis, and other ad hoc strategic projects
- Contribute to continuous improvement efforts leveraging technology and automation tools
Qualifications & Experience
- Bachelor’s degree in Accounting required; CPA or equivalent certification strongly preferred
- 4+ years of progressive accounting experience
- Background in manufacturing and/or publicly traded environments preferred
- Strong knowledge of U.S. GAAP and corporate reporting standards
- Experience supporting audits and working within structured control environments
- Familiarity with procure-to-pay processes
- Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
- Experience working with shared services or offshore accounting teams preferred
- Ability to manage multiple deadlines in a dynamic, global environment
- Strong analytical mindset with attention to detail and ownership mentality
- Willingness to travel up to 10% (domestic and international)
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.
NOVA Engineering and Environmental is seeking a Marketing Coordinator with a focus on graphic design and social media to support our offices across the Southeast. This is an excellent opportunity for a candidate with a few years of experience or a recent graduate looking to grow within A/E/C marketing. The role blends traditional proposal and marketing support with hands-on graphic design, brand support, and social media execution. The position reports to the Marketing Supervisor and works closely with marketing, business development, and technical teams.
Essential Functions:
The successful candidate will work closely with the various Business Development Associates, Operational Managers and senior staff throughout the company. Primary job responsibilities will include the following:
Marketing & Proposal Support:
- Coordinate and manage the end to end proposal development process, from go/no go through final submission
- Assist with the coordination, development, editing, and production of SOQs, presentations, SF330’s and more using Adobe InDesign and Microsoft Office365
- Support proposal strategy sessions and assist with presentation development and production
- Write, edit, and format proposal content, resumes, project descriptions, and boilerplate content using Deltek CRM, Microsoft Office, and Adobe tools
- Maintain proposal content libraries, resumes, project sheets, and boilerplate materials
- Support proposal close out activities, debriefs, and process improvements
- Assist with market research to help offices identify trends, clients, and competitors
- Support regional marketing and business development meetings as needed
Graphic Design & Brand Support:
- Produce and update marketing graphics for proposals, presentations, and collateral in accordance with NOVA brand standards
- Assist with maintaining and growing NOVA’s internal graphics and template library
- Support the development of regional marketing collateral including brochures, flyers, conference displays, and digital assets
- Ensure consistency with corporate branding across all marketing materials
Social Media & Digital Marketing:
- Assist with NOVA’s social media program to support brand awareness, recruiting, and community engagement
- Create and schedule social media content, including graphics and short-form copy, in coordination with the marketing team
- Help track engagement metrics and support reporting on social media performance
Systems & Administration:
- Support the Client, Project, and Employee Database (Deltek Vision/Vantagepoint)
- Assist with tracking business opportunities and leads in the CRM
- Help coordinate the renewal of annual contracts and pre-qualification certifications
Minimum Qualifications, Experience and Education:
- Minimum 2 years of marketing experience or equivalent (A/E/C industry preferred)
- Proficient in Microsoft (Word, Excel, PowerPoint and Power BI) and Adobe (InDesign, Photoshop and Acrobat), as well as experience in database management
- Excellent oral and written communication skills
- High attention to detail and strong quality control skills
- Ability to manage multiple deadlines in a fast paced, deadline driven environment
- Familiarity with Deltek Vantagepoint Applications, including Deltek Vantagepoint’s CRM Software a plus
- Motivated self-starter with ability to problem solve
- Ability to work under pressure with multiple tasks and deadlines
- Ability to travel between offices on occasion
NOVA is an Equal Opportunity Employer. All qualified candidates are encouraged to apply. NOVA does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, ancestry, marital status, veteran status or any other characteristic protected by law.
About Nova:
Established in 1996, NOVA was originally founded to provide Environmental Consulting, Geotechnical Engineering, and Construction Materials Testing and Inspection services to the design and construction community, largely in the southeastern United States. Since our founding, NOVA has added additional service lines such as Facilities and Building Envelope, Forensics, Municipal and more. We are dedicated to providing a wide variety of projects and services with an emphasis on collaboration and safety. We offer a stimulating and inspiring work environment where our employees are recognized for their efforts and achievements and are mentored for professional growth.
Currently, NOVA employs 650+ personnel in 18 offices serving clients throughout the southeastern United States and beyond. Our firm has professional and administrative support staff that includes registered professional engineers, registered professional geologists, environmental scientists, registered roof observers, LEED accredited professionals, soil/foundation engineers, laboratory specialists, materials technicians, ICC-certified inspectors, NICET-certified technicians, and AWS-certified welding inspectors. NOVA’s facilities include AASHTO-accredited laboratories in soils, concrete, aggregate and hot-mix asphalt testing/inspection. We also have CCRL-inspected laboratories for concrete sampling, curing, and testing. NOVA will continue to expand its reach and reputation as a leader in the testing, inspection, and consulting fields with a strong legacy of quality and integrity by promoting our best internal resources and recruiting a diverse culture of valued and exceptional talent.
Remote working/work at home options are available for this role.
Director, Analytics Product Management Business Intelligence Center (Google Cloud) – Hybrid
Houston, Texas – US Citizen or Green Card Only
We are looking for a strategic leader to drive the vision, development, and adoption of advanced analytics and AI solutions across our sales organization. This role will oversee a portfolio of AI-enabled products, including predictive models, generative AI tools, and decision intelligence integrated into CRM and digital platforms, all designed to enhance sales performance and revenue growth.
As a key leader, the Director will partner with senior product managers and cross-functional technical teams to define product strategy, prioritize initiatives, and ensure seamless execution. Success in this role requires a strong blend of technical expertise, business insight, and executive influence, enabling the leader to translate complex AI capabilities into tangible business outcomes and enterprise-wide adoption.
RESPONSIBILITIES
Shape Enterprise Analytics Strategy: Develop and continuously refine the advanced analytics roadmap, ensuring alignment with business priorities and growth goals across local and national sales operations.
Lead AI/ML Product Innovation: Collaborate with data science and engineering teams to create, implement, and scale predictive and generative AI solutions that drive tangible business outcomes.
Team Leadership & Development: Guide, mentor, and grow senior Product Owners and Translators focused on analytics and AI initiatives; provide clear strategic direction and foster a high-performing, collaborative culture.
Executive Communication & Influence: Translate complex analytics into actionable insights for C-suite and senior leaders, securing alignment and executive sponsorship for key initiatives.
Governance & Stakeholder Management: Establish and maintain governance frameworks and executive cadences to prioritize roadmaps and ensure smooth delivery of quarterly product releases.
Portfolio Management: Oversee a suite of analytics products, balancing innovation with compliance and governance, while ensuring usability and integration across business intelligence platforms, CRM, and digital channels.
Drive Adoption & Value Realization: Ensure solutions are embedded into business processes and deliver measurable impact on performance and revenue.
QUALIFICATIONS
Education
- Bachelor’s degree in an analytical field (e.g., Engineering, Mathematics, Computer Science, Business).
- MBA or another advanced degree from a top-tier educational institution (preferred)
Experience
- 8+ years in product management or analytics leadership roles, with proven experience delivering AI/ML-drivenproducts atscale.
- Prior experience in a corporate setting or leading a professional services company in an analytical or strategic role, such as Strategy, Finance, or Insights.
- Demonstrated success managing multiple product teams and driving enterprise-wide adoption of analytics solutions.
- 3+ years with Google Cloud
Professional Skills
- Strong problem-solving skills to take ambiguous challenges and develop structured frameworks for defining, analyzing, and solving them.
- Experience shaping enterprise strategies and working with senior leadership to drive alignment and investment.
- Ability to manage ambiguity and guide the organization toward clear and decisive action plans.
- High level of familiarity with digital technologies, including understanding of underlying data architectures, data requirements, and interdependencies between front-end, service layer, and back-end systems.
- Deep understanding of descriptive, predictive, and prescriptive analytics approaches and ability to educate business stakeholders on modeling techniques.
- Strong grasp of business value drivers and the relationship between modeling choices and business impact.
- Ability to establish a collaborative work environment that enables cross-functional teams to execute at a high level.
- Superb verbal, written, and interpersonal skills; fluency in interfacing with both technical and executive teams, and the ability to make complex analytics understandable and actionable.
Equal Opportunity Employer (EOE). We are committed to creating an inclusive environment for all employees and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.
Let’s talk about benefits
Revolution Technologies is proud to offer some of the best rates in the market. Revolution is also pleased to provide a comprehensive benefits package including medical, dental, vision, short-term disability, access to a health savings account, tuition reimbursement, scholarship opportunities, 401k, life insurance, supplemental insurance, and paid time off.
Remote working/work at home options are available for this role.
