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About Kiln:

Kiln is a flex ­office and lifestyle brand. We deliver an exceptional experience that elevates the performance and lifestyle of our members through an ecosystem of people, products, places, and spaces.

Kiln launched in 2018 with locations in Salt Lake City and Lehi, Utah. Today, we’ve grown to 21 hubs across the Mountain West, and we’re just getting started. As a leader in the flex-office movement, Kiln is shaping the future of hybrid work in the evolving landscape of commercial real estate.

Our Core Values

1: Human at the core

2: Achieve & Celebrate Together

3: Thoughtful and with Purpose

4: Always Evolving

5: Nothing short of Extraordinary

6: Scrappy & Ingenious

Our Mission

Our mission is to change the world within the workplace, elevating the quality of life for our members and enabling teams to build in new and creative ways. Our community lifts individuals, facilitates learning, and is creating a collective that is capable of things we cannot imagine.

Role Opportunity:

We are looking for a Senior Interior Designer to help shape what Kiln looks and feels like as we grow. This role sits at the intersection of space design, workplace design, and experience design. You will help create environments that influence how people work, connect, and move through a space.

You will work closely with our Creative Director as part of a small, in-house design team responsible for bringing new Kiln locations to life. From early concepts through final installation, your work will contribute to thoughtfully designed environments that support productivity, community, and hospitality. Your work will directly influence spaces experienced by thousands of members every day.

The Role:

This is both a technical and creative role for a designer who is equally comfortable producing detailed drawing packages and developing design concepts.

You will contribute to the space design, workplace design, and experience design of new Kiln locations while helping evolve the design language of the brand.

This includes space planning, test-fitting new sites, collaborating with architectural partners, and helping deliver environments that feel cohesive, layered, and intentional.

You will also participate in the development of The Kiln Series — our proprietary furniture and componentry line, which is a key part of Kiln’s long-term design strategy.

Key Relationships

• Kiln Build and Procurement team
• External architecture, construction, and manufacturing partners

Key Responsibilities

• Work with the Creative Director to deliver new site designs for Kiln
• Develop concept design ideas and spatial concepts for new locations
• Space plan and test-fit concepts into new sites
• Manage and produce detailed drawing packages for each location
• Work closely with the build and procurement team to ensure designs are delivered on time and on budget
• Collaborate with external architectural partners to produce construction design sets, attend site meetings, and participate in final installations and fit-outs
• Contribute to the development of The Kiln Series furniture and componentry line by creating shop drawings, reviewing engineering specifications, and evaluating prototypes with manufacturing partners
• Develop interior styling concepts for Kiln spaces and support the interior styling team
• Integrate Kiln’s graphic brand identity into physical environments
• Develop a deep understanding of coworking and how members interact with our spaces
• Participate in the Kiln member community and contribute to social media or brand storytelling when appropriate
• Support additional design initiatives as directed by the Creative Director

Experience and Requirements

• 5+ years of experience in commercial interior design, workplace design, or hospitality environments
• A design sensibility that is layered, eclectic, and experience-driven rather than purely neutral or corporate
• Portfolio required demonstrating thoughtful commercial interior design work (hospitality experience highly valued)
• College graduate with a four-year degree preferred, but not required
• Highly proficient in CAD software, preferably Vectorworks
• Experience with space planning, commercial workplace design, and interior documentation
• Experience with rendering, visualization, and hand sketching for presentations
• Proficiency with Adobe Suite, Google Suite, Slack, and Asana, and comfort learning new SaaS platforms
• Understanding of ADA and commercial office code requirements
• Strong verbal and written communication skills
• Exceptional organizational and multitasking abilities across concurrent projects
• Demonstrates integrity, dependability, accountability, self-awareness, work ethic, and empathy
• Passion for and alignment with Kiln’s mission and values
• Willingness to travel. Valid passport required

What Kiln Offers

Salary: $85,000 – $100,000 depending on experience

• Supplemented Medical, Dental, and Vision coverage
• Flexible PTO + 10 paid federal holidays
• Complimentary gym membership at Kiln and partner locations
• 50% discount at Kiln cafés
• The opportunity to work within a small, creative team where your ideas matter — designing spaces from concept to completion and helping shape a design-forward brand that is still evolving
• Direct collaboration with Kiln’s Creative Director and founding team
• The ability to contribute to The Kiln Series, our proprietary furniture and componentry line
• The opportunity to see your ideas move quickly from concept to built space
• Work that blends space design, workplace design, and experience design
• The chance to shape environments that thousands of members interact with every day
• A design culture that values curiosity, craft, and thoughtful experimentation

Our internal consulting agency is seeking a Senior Digital Analytics Implementation Specialist to join their team in an ongoing contract or full-time employment capacity if desired. 

Role Type: Senior Individual Contributor (Non Manager)
Team: Adobe Practice Operational Readiness & Optimization
Location: Flexible (U.S.) | Travel ~1020%
 

Role Overview
Were hiring a Senior Digital Analytics Implementation Specialist to serve as the hands on expert in Adobe Analytics (AA), Adobe Customer Journey Analytics (CJA), and Adobe Experience Platform (AEP). This role is focused on implementation excellence  configuring instrumentation, ensuring accurate data capture, preparing AEP datasets for analysis, and building CJA data views and dashboards that deliver reliable insights.
This role supports the end to end analytics foundation across Adobe Analytics CJA AEP, ensuring data is modeled, stitched, joined, and validated so downstream solutions work reliably.
 

Key Responsibilities
Implementation Leadership Adobe Launch, AEP Web SDK, Tagging
"    Lead Adobe Launch (Tags) and AEP Web SDK/Edge Network implementations, including tagging configuration, event mapping, and QA across environments.
"    Develop and maintain data layer specifications, event taxonomies, tracking patterns, and documentation frameworks.
"    Write and maintain Solution Design References (SDRs) capturing event-level instrumentation.
"    Conduct detailed instrumentation QA, validating accuracy, identity behavior, and end-to-end data integrity.
Adobe Analytics Configuration & Migration Support
"    Configure Adobe Analytics variables (events, props, eVars) to support clean ingestion and alignment with AEP datasets.
"    Audit existing Adobe Analytics setups and support transition toward CJA based analysis.
"    Ensure Adobe Analytics event structures align to XDM expectations and AEP stitching requirements.
AEP Data Modeling & Dataset Preparation
"    Contribute to AEP XDM schema definition, identity namespace setup, and dataset configuration.
"    Validate dataset ingestion (batch & streaming), schema mapping, identity stitching, and join readiness.
"    Collaborate with engineering teams to ensure stable ingestion flows from SDK AEP CJA.
CJA Configuration, Joins & Dashboarding
"    Set up and maintain CJA Connections across AEP datasets.
"    Configure Data Views, including joins, identity mapping, component governance, calculated metrics, and filters.
"    Build CJA Workspace dashboards for lifecycle reporting, funnel analysis, product insights, and operational visibility.
"    Apply consistent naming, structuring, and governance patterns for scalable reporting.
Cross-Solution Alignment
"    Ensure tracking and dataset structures support downstream segmentation, activation, and journey measurement use cases.
"    Partner with internal solution leads across data, workflow, content, and activation to ensure end to end data integrity.
"    Provide clarity on how instrumentation decisions impact cross-platform behavior in AEP and CJA.
 

Required Qualifications
"    Active Adobe Certification(s) in Adobe Analytics and/or Adobe Customer Journey Analytics (CJA), at Professional or Expert level.
"    Strong hands-on experience implementing:
o    Adobe Launch (Tags)
o    AEP Web SDK / Edge Network
o    Data layers and event instrumentation
o    Adobe Analytics variable/event design
o    CJA Connections, Data Views, identity joins, and derived fields
"    58+ years of digital analytics implementation or instrumentation experience.
"    Experience with AEP XDM schemas, datasets, identity graphs, and ingestion validation.
"    Proficiency writing SDRs, tracking requirements, and data-layer specifications.
"    Experience building CJA dashboards, funnels, cohort analyses, and cross-channel insights.
 

Preferred Qualifications
"    Experience with server-side tagging and event forwarding.
"    Familiarity with AJO measurement needs and journey data flows.
"    Experience with cloud data platforms (Snowflake, BigQuery, Synapse).
"    Exposure to lifecycle marketing analytics, experimentation, or Adobe Target.

What Success Looks Like
"    Accurate, reliable tracking captured through Launch and Web SDK.
"    Clean, well structured AEP datasets that stitch and join correctly inside CJA.
"    Dashboards and insights that reflect consistent, trusted data.
"    Smooth, stable AA CJA AEP workflows enabling dependable reporting and analysis.
"    Solid alignment with solution leads ensuring data supports activation, journey design, and content workflows.

In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.

Benefits

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Job Title: Senior Automation Engineer

Location: Hillsboro, Oregon

Job Type: Full-Time

Job Description:

We are seeking a highly experienced Senior Automation Engineer to join our advanced software and embedded systems team. The ideal candidate will have deep expertise in Python automation (Pytest), Robot Framework, and QNX environments, with strong skills in UX/UI automation and testing. This role involves enhancing and migrating automation frameworks, debugging complex integrations, and working closely with cross-functional teams to deliver high-quality test automation solutions for embedded systems and entertainment platforms.

Key Responsibilities

Automation Framework Development

• Architect, develop, and maintain automation frameworks primarily using Python and Pytest.
• Lead migration of existing Robot Framework tests to Python/Pytest equivalents.
• Build reusable fixtures, utilities, wrapper layers, and automation components to support large test suites.

Test Execution & Optimization

• Analyze and interpret Robot Framework keyword libraries; enable efficient reuse within Python-based executions.
• Optimize hybrid execution flows involving both Pytest and Robot Framework assets.
• Execute and maintain UI and device automation tests using tools such as Appium, Selenium, or equivalent frameworks.

Cross-Layer Debugging & Integration

• Independently debug cross-layer automation issues involving Python, Robot Framework, device tools, and operating systems.
• Integrate automation frameworks with CI/CD pipelines and tools (e.g., Jenkins, GitLab, Azure DevOps).

Collaboration & Mentorship

• Mentor and guide junior automation engineers, establishing good coding practices, test design patterns, and quality standards.
• Work collaboratively with software engineers, product developers, and QA teams to enhance automation coverage and reliability.

System & Environment Interaction

• Work with QNX OS, virtualization systems (Hypervisor), and cloud environments (AWS).
• Engage with hardware interfacing (USB, Ethernet, multimedia interfaces) and hardware simulation/ fault-injection where applicable (nice-to-have).

Required Skills & Experience

• 7–10 years experience in automation engineering with 5+ years hands-on Python automation using Pytest.
• Practical experience with Robot Framework including keywords, variables, resources, and large keyword repositories.
• Strong skills in UI automation using tools such as Appium/Selenium.
• Solid understanding of modular test design and maintainable patterns (page-object, keyword patterns).
• Experience with QNX (Posix) operating system, virtualization (e.g., Hypervisor), and cloud-based environments (preferably AWS).
• Good understanding of Git, branching strategies, and CI/CD workflows.
• Proven ability to debug complex, multi-layered test automation environments.

Preferred Qualifications

• Exposure to embedded systems, aviation, or high-volume regression environments.
• Experience in framework migration, cross-framework interoperability, or keyword reuse models.
• Background in hardware interactions and media/UX systems (multimedia I/O, touch interactions).
• Familiarity with fault injection tools and hardware simulation techniques.
• Bachelor’s degree in Computer Science, Electronics, or related technical field.

Nice-to-Have Skills

• Hardware interfacing (USB, Ethernet), multimedia interfaces (touch, audio/video).
• Fault-injection and hardware simulation experience.
• Knowledge of peripheral communication protocols (e.g., GMSL, IP).

Job Title: Sr. Automation Engineer

Location: Hillsboro, OR

Job Summary

Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems.

Mandatory Technical Skills

(Minimum 5+ years of hands-on experience in each)

• Python automation using Pytest or Robot Framework
• QNX OS (POSIX-compliant systems)
• UX/UI Automation & Testing

Key Responsibilities

• Design, architect, and enhance scalable automation frameworks using Python and Pytest.
• Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability.
• Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions.
• Optimize hybrid execution models involving both Pytest and Robot Framework assets.
• Develop wrapper layers, fixtures, utilities, and reusable automation components.
• Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools.
• Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
• Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools.
• Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability.
• Mentor junior engineers and uphold automation design, coding standards, and best practices.

Required Qualifications

• 5+ years of hands-on experience with Python automation and Pytest.
• Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring.
• Proven experience managing and maintaining large keyword repositories (1000+ keywords).
• Experience working with QNX OS, POSIX systems, Hypervisor-based virtualization, and Cloud environments (AWS).
• Solid understanding of Git version control, branching strategies, and CI/CD workflows.
• Experience with UI and device automation tools such as Appium and Selenium.
• Strong analytical, debugging, and problem-solving skills with the ability to work independently.
• Excellent communication skills and experience working in cross-functional teams.

Preferred Qualifications

• Experience in mobility, embedded systems, aviation, or high-volume regression environments.
• Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models.
• Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field.

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

Job Role: Lead Software Engineer - AI Application Platform

Location: Charlotte, NC (Onsite)

Eligibility: USC/GC/H4-EAD only

Pay Rate: $90/hr. on W2

The Opportunity

We are seeking a Lead Software Engineer to guide the architectural development and execution of AppGen, 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

If that describes you, we'd like to talk.

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:

o RxJS Observable lifecycle and potential memory patterns in Angular

o Query efficiency and data loading patterns in SQLAlchemy

o Terraform module organization and state management implications

o Type safety and TypeScript coverage gaps

o 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

Position: Product Designer

Location: San Clemente, CA

Experience: 2–4 years

Company Overview

FutureStitch is a fully vertical circular manufacturer that believes business should be a force for good. We design, develop, and manufacture advanced circular-knit products for leading global brands including Stance, New Balance, the NBA, and MLB. From our research partnerships at MIT to our Oceanside manufacturing facility that employs second-chance hires, FutureStitch is recognized as one of the most innovative knitting manufacturers in the world.

In 2026, FutureStitch will launch a global base layer collection for New Balance and unveil a new in-house brand, SECONDS, as we expand beyond socks into accessories, base layers, and underwear.

SECONDS is a regenerative design collective built on the power of second chances for both people and the planet. Through circular manufacturing and advanced recycling technologies, we transform waste into feedstock, creating performance-driven apparel and accessories designed to scale responsibly.

Position Summary

The Product Designer will support the design and development of performance-driven softgoods across socks, accessories, base layers, and underwear. This role is focused on product and industrial design execution, including block development support, construction refinement, and material application, with supporting graphic execution as needed.

The Product Designer will contribute across research, ideation, development, and commercialization. This role partners closely with internal teams, overseas factories, and brand partners including New Balance, FootJoy, and SECONDS to help bring product concepts into production.

Key Responsibilities

• Support product and industrial design efforts across socks, accessories, base layers, and underwear
• Contribute to concept development, sketching, and ideation for seasonal and special projects
• Assist with block development, construction refinement, and material selection under senior guidance
• Research materials, yarns, trims, and fabrications to support performance and development needs
• Create and update design files, CADs, and tech packs that clearly communicate intent to development teams and factory partners
• Participate in sample reviews and provide clear, organized feedback related to construction and fit
• Collaborate with product development, merchandising, and project management teams to support timelines and execution
• Support graphic and color design needs as required, including sock graphics, branding elements, packaging, and presentations
• Maintain organization of samples, files, and seasonal assets
• Stay informed on market trends, materials, and competitive product to support design direction

Key Outcomes

• Q2 2026: Support development of winter accessory concepts for New Balance, assisting with construction refinement and material testing
• Q3 2026: Support final design execution for the SECONDS launch assortment, ensuring files and samples are production-ready
• Q4 2026: Contribute to future-season accessory and product ideation through research, sketches, and early concept development

Experience and Skills

• 2–4 years of experience in product design, industrial design, or softgoods design within apparel or accessories
• Good taste in product design and color applications
• Foundational understanding of construction, fit, and materials, with interest in performance product
• Ability to contribute creatively while working within established design systems and direction
• Comfortable managing multiple projects and deadlines in a collaborative environment
• Receptive to feedback and motivated to learn and grow
• Strong organizational skills and attention to detail
• Portfolio demonstrating product-focused work, including construction thinking and material exploration. Graphic work is a plus
• Ability to adapt design work across multiple brands and aesthetics
• Proficiency in Adobe Creative Suite including Illustrator and Photoshop. CAD or 3D tools are a plus
• Experience creating or assisting with tech packs and production files

Position: Senior Semantic Engineer / Ontology Engineer

Location: East Hanover, NJ (Hybrid - 3x/week onsite)

Duration: 6 Months (extendable)

DESCRIPTION:

We are hiring a Senior Semantic Engineer / Ontology Engineer to lead the design of healthcare-grade ontologies and semantic layers that power trusted analytics, interoperable data products, and AI-ready knowledge systems. You will apply metrics-first semantic modeling and ontology engineering practices aligned to the principles such as clear semantics, reusable meaning, governance-by-design, and measurable business outcomes. You’ll work across RDF and property graph paradigms and Snowflake semantic layer.

Key Responsibilities:

• Design and evolve healthcare ontologies and semantic models to standardize meaning across domains (clinical, patient, provider, claims, access, quality, outcomes).

• Design data products that are AI-ready and leverage ontologies and semantic models

Build metrics-first semantic layers:

• Define canonical metric definitions, dimensions, hierarchies, and calculation rules.

• Ensure metrics are explainable, auditable, and consistently implemented across products and teams.

• Model knowledge in both RDF (RDFS/OWL) for formal semantics and interoperability.

• Property graphs for traversal-heavy use cases and relationship analytics.

Develop and maintain semantic artifacts:

• Concept schemes, entity models, vocabularies, mappings, and documentation.

• Alignment patterns between ontologies, data products, and downstream analytics/AI use cases.

Implement semantic integration patterns:

• Entity identity resolution, entity linking, terminology harmonization, and enrichment workflows.

Partner with platform teams to operationalize semantics in Snowflake:

• Enable semantic access patterns that support analytics and AI applications.

• Contribute to solutions that leverage Snowflake Cortex for semantic enrichment and assisted discovery (within established governance constraints).

Collaborate with governance and architecture stakeholders to embed:

• Versioning, stewardship workflows, quality checks, and change management for semantic assets.

• Guide best practices and mentor engineers/analysts on ontology engineering, graph modeling, and metrics-first design.

Required Qualifications

• 8+ years in semantic engineering, ontology engineering, knowledge graph development, or closely related roles.

• Demonstrated experience in healthcare data domains (payer/provider, clinical, claims, RWE, quality, outcomes, etc.).

• Strong hands-on ontology engineering experience: RDF, RDFS, OWL, SPARQL and/or graph query experience

• Ontology modularization, alignment, and lifecycle management

• Experience with property graph modeling (e.g., Neo4j-style patterns) and translating between RDF and property graph representations when needed.

• Proven delivery of a metrics-first approach:

• Canonical KPIs/metrics definitions, dimensional modeling alignment, semantic consistency across BI and data products.

• Experience working with modern cloud data platforms, especially Snowflake, and exposure to Snowflake Cortex for AI-enabled workflows.

• Strong stakeholder communication skills: able to translate clinical/business intent into precise semantic definitions and usable artifacts.

Preferred Qualifications

• Familiarity with healthcare interoperability and terminology standards (e.g., HL7/FHIR, SNOMED CT, LOINC, ICD-10) and how to map/align them to enterprise semantics.

• Experience with semantic tooling and practices, validation rules, ontology testing, and CI/CD for semantic assets.

• Experience deploying semantic context layers

We Are Hiring: Databricks Lead Data Engineer – Director Equivalent Role

Location: Atlanta, USA

Work Model: Hybrid – 3 to 4 days in office per week (mandatory)

Eligibility: US Citizens and Green Card (GC) holders only

How to Apply

If you are interested in this position and have the required skills, please send across your resume at:

; ;

Paves Technologies is seeking a highly experienced Databricks Lead Data Engineer – Lead Level (Director Equivalent Role) to drive enterprise-scale data architecture, governance, and advanced analytics initiatives on Azure Cloud. This is a senior leadership role requiring deep Databricks expertise, strong data modeling capabilities, and hands-on architectural ownership across PySpark based distributed systems.

Role Overview

The ideal candidate will bring 10-12 + years of overall data engineering experience, including strong hands-on expertise with Azure Databricks, PySpark, Python, and Azure Cloud data services. You will define architecture standards, lead modernization initiatives, and implement scalable Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and business intelligence.

Key Responsibilities

• Lead end-to-end architecture and implementation of enterprise-scale data platforms using Azure Databricks on Azure Cloud.
• Design and implement Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake best practices.
• Build scalable PySpark-based ETL/ELT pipelines across ingestion (Bronze), transformation (Silver), and curated analytics (Gold) layers.
• Develop advanced data transformations using Python, PySpark, Spark SQL, and advanced SQL constructs.
• Architect robust data models (dimensional, star schema, normalized models) aligned to analytics and reporting needs.
• Drive adoption of advanced Databricks capabilities including Unity Catalog, Declarative Pipelines, Delta Lake optimization, and governance frameworks.
• Establish best practices for partitioning strategies, file compaction, Z-ordering, caching, broadcast joins, and query optimization.
• Define and standardize reusable Azure Cloud data platform tools, templates, CI/CD frameworks, and infrastructure automation.
• Work across Azure ecosystem components such as Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure DevOps, networking, and security services.
• Ensure high standards for data quality, RBAC, lineage tracking, governance, and production stability.
• Provide architectural leadership and mentorship to data engineering teams.

Required Experience & Skills

• 10–12+ years of overall experience in Data Engineering.
• Minimum 3+ years of strong hands-on Databricks experience.
• Mandatory Certifications:
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Deep hands-on expertise in PySpark, Python programming, and distributed Spark processing.
• Strong experience designing and implementing Medallion Architecture (Bronze/Silver/Gold layers).
• Advanced knowledge of Data Modeling, Data Analysis, and complex SQL (window functions, CTEs, execution plan tuning).
• Strong understanding of Delta Lake architecture, schema evolution, partition strategies, performance optimization, and data governance.
• Well-versed in enterprise Azure Cloud data platforms, reusable accelerators, CI/CD templates, and governance standards.
• Proven experience architecting scalable, secure, cloud-native data solutions.
• Strong leadership, stakeholder management, and executive communication skills.

How to Apply

If you are interested in this position and have the required skills, please send across your resume at:

; ;