JOB SUMMARY

Apptronik is seeking a Full-Stack Software Lead to lead the technical direction and delivery of the Interface team within Fleet Connect. In this role, you will guide the design and execution of the software systems that connect Apollo to customer workflows, operational dashboards, and enterprise infrastructure. You will combine hands-on development with technical leadership, partnering closely with product, applications, hardware, systems, and UX teams to deliver reliable, scalable software into live production environments. Your work will shape both the architecture of the Interface platform and the engineering practices that enable the team to execute effectively.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Technical Leadership: Set the architectural direction for the Interface platform; review designs and code, establish engineering standards, and guide implementation across frontend, backend, and integration layers.
• Execution Leadership: Partner with product and program stakeholders to translate roadmap priorities into executable plans, unblock delivery risks, and ensure the team ships high-quality software on a predictable cadence.
• Team Development: Mentor engineers through design reviews, technical coaching, and structured feedback, helping raise the team’s technical depth and execution quality.
• Full-Stack Development: Contribute directly to the development of operator-facing web applications and backend services that support fleet management, robot monitoring, and production operations.
• API and Integration Design: Architect and build REST APIs and gRPC services that interface with the robotics platform, customer WMS and ERP systems, and internal data pipelines.
• Industrial Automation: Lead integration efforts with customer automation systems including PLCs, hardware safety systems, and messaging infrastructure used in live production facilities.
• Reliability and Quality: Own software quality across the Interface product by driving test strategy, observability, maintainability, and operational readiness.
• Cross-Functional Collaboration: Work closely with UI/UX, systems, hardware, applications, product, and deployment teams to deliver features that satisfy system-wide requirements and customer needs.

SKILLS AND REQUIREMENTS

• Programming: Expert-level proficiency in Python and TypeScript; experience with C++ is a plus.
• Frontend: Strong track record with React or equivalent modern frontend frameworks, including component-based architecture and state management patterns.
• Backend: Demonstrated expertise designing REST APIs, microservices, and gRPC or Protocol Buffers based services for distributed systems.
• Industrial Protocols: Hands-on experience with OPC UA, EtherNet/IP, Profinet, or Modbus TCP for PLC and safety-system integration.
• Enterprise Integration: Experience interfacing with REST APIs, MQTT, AMQP, or Kafka for WMS, ERP, or adjacent enterprise workflows.
• Infrastructure: Familiarity with cloud platforms, Kubernetes, Docker, and the operational considerations of deploying software into production environments.
• Leadership: Proven experience leading small engineering teams or owning technical direction for a product area while remaining hands-on.
• Version Control: Demonstrated competence with Git and distributed development workflows.
• Preferred Qualifications:
• Experience with fleet management, task allocation, or multi-robot coordination systems.
• Prior experience in a Tech Lead, Staff Engineer, or equivalent capacity in robotics, automation, logistics, or industrial software.
• Experience partnering closely with UI/UX teams and incorporating user feedback into product decisions.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 8-10+ years of professional, full-time experience building and shipping production software systems, including significant full-stack or distributed systems work.
• 2+ years leading technical direction for a team or product area.
• Experience deploying software into robotics, automation, logistics, or other operationally complex environments is strongly preferred.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

JOB SUMMARY

Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic telemetry, sensor, and training data used across model development, fleet analytics, and operational reporting. You will work at the intersection of robotics, cloud infrastructure, and machine learning, ensuring data is reliable, well-governed, and accessible across both cloud and hybrid deployment environments. Your work will provide critical infrastructure for improving Apollo in development and in production.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES

• Design and maintain backend data services and pipelines for ingesting, processing, and serving telemetry, sensor, and training data generated across development and deployed fleets.
• Build robust batch and streaming data workflows that integrate on-robot data sources, cloud infrastructure, and enterprise systems.
• Develop internal APIs and platform tooling that enable machine learning, robotics, and software teams to access trusted data efficiently and securely.
• Establish data quality, lineage, and governance practices that improve confidence in datasets used for model training, analytics, and operational decision-making.
• Monitor and optimize storage systems, database performance, and resource utilization to meet scalability, throughput, and latency requirements.
• Collaborate closely with data scientists, machine learning engineers, robotics engineers, SRE, and security teams to deliver production-ready data infrastructure.
• Support secure deployment patterns including encryption, access controls, and reliable operation across cloud and hybrid environments.
• Stay current on data engineering practices, distributed systems design, and emerging technologies relevant to robotics and machine learning platforms.

SKILLS AND REQUIREMENTS

• Programming: Strong proficiency in Python; experience with Go for backend service implementation is preferred.
• Data Engineering: Experience with real-time and batch pipeline frameworks such as Kafka, Spark, Airflow, or comparable technologies.
• Databases: Strong command of relational databases such as PostgreSQL and familiarity with NoSQL stores; experience with time-series data is a plus.
• Cloud and Infrastructure: Proficiency with cloud platforms and hands-on experience with infrastructure tooling such as Terraform, Helm, or Ansible.
• Containerization: Experience with Kubernetes and Docker for deploying and scaling backend and data services.
• Security: Familiarity with encryption, RBAC, and secure service-to-service or user-to-service data access patterns.
• Monitoring: Experience building observability dashboards and alerting for data pipelines and platform services.
• API Design: Experience building REST APIs or gRPC services for data access, integration, and internal platform use.
• Preferred Qualifications:
• Experience in robotics, autonomous systems, data platforms, or machine learning infrastructure.
• Familiarity with time-series data stores such as InfluxDB or TimescaleDB for telemetry-heavy workloads.
• Experience with data catalog, lineage, or governance tooling.
• Knowledge of streaming architectures and event-driven systems in production environments.

EDUCATION and/or EXPERIENCE

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of professional, full-time experience in data engineering, backend engineering, or a closely related discipline.
• Experience building data pipelines or platform infrastructure used to support machine learning, analytics, or AI workflows.

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift 15 pounds at times
• Vision to read printed materials and a computer screen
• Hearing and speech to communicate

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll design fast, efficient runtime systems that run close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack. We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation.

If you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong coder in C or C++, and enjoy working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement.
• Care deeply about API design, abstraction boundaries, and developer experience in low-level systems.
• Experienced (or interested in) designing libraries or interfaces used by other engineers.
• Think about long-term maintainability, usability, and clarity when designing systems.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently.
• Translate low-level hardware behavior into intuitive, high-performance abstractions.
• Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage.
• Ensure APIs balance performance, control, safety, and ease of use.
• Contribute to runtime implementation where needed to support API design and integration.
• Debug, analyze, and improve usability and performance across the software stack.

Nice to have:

• Experience designing or evolving non-trivial C++ APIs used by other engineers.
• Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar).

What You Will Learn

• How to design APIs and abstractions for cutting-edge AI hardware.
• How to balance performance, control, and usability in low-level system design.
• How to translate hardware capabilities into clean, developer-friendly interfaces.
• Best practices for building maintainable, high-performance systems software.
• How software and hardware co-evolve in a fast-paced AI startup.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a remote role

JR: 2026-7617

#LI-Remote

We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 4+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $154,400.00 - $193,000.00

*This is a remote role

JR: 2026-7447

#LI-Remote

We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. 

The AI/ML team is responsible for building an AI platform to manage OSS and custom models across modalities (LLMs, images, audios, videos) on top of a high-performance inference engine, to ensure the latest SOTA models are always available at peak performance. We’re a fast-paced team looking to build the next generation of AI/ML workflows on DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a team
• Drive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale model services such as inference, fine-tuning, model benchmarks and evaluations
• Maintain and develop APIs and SDKs
• Collaborate on design and UX
• Build and scale products to achieve operational excellence
• Independently ship product features from planning to launch to maintenance with high autonomy
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teams
• Knowledge of API standards including REST, Python, or Go

Compensation Range: 

• $167,200 - $209,000

*This is a remote role

JR: 2026-7446

#LI-Remote

#LI-SK1

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

About the Role

CharterUP is seeking a Senior Software Engineer (Full Stack, Frontend Focus) to architect, implement, and own a wide variety of customer-facing and back-office software systems powering our two-sided marketplace business. You’ll work closely with our engineering leaders, product managers, and engineering team to design and build systems that will scale with our rapidly growing business needs. You will lead a wide variety of technology initiatives across multiple disciplines, including REST API Services, Web Applications, Mobile Apps, Data Engineering, and DevOps.

Title: Senior Software Engineer 

Reports to: Engineering Manager

Location: This position is based in Austin, TX (Hybrid: Monday, Wednesday, Friday in-office).

• Build high-quality software using JavaScript (Vue, React) on the frontend and Java on the backend, leveraging AI-assisted development tools to improve speed and quality.
• Deploy robust applications to AWS, ensuring scalability, reliability, and continuous improvement through intelligent monitoring and automation.
• Define and advocate for engineering best practices, tooling, and development processes, including thoughtful adoption of AI-driven approaches that enhance code quality and developer productivity.
• Mentor junior engineers, sharing best practices in both traditional and AI-enhanced development techniques, and foster a culture of learning and innovation.
• Collaborate cross-functionally to align technical implementation with evolving business needs and product vision, identifying opportunities where AI technologies can create value or efficiency.

• 4+ years of professional experience as a full stack software engineer, with hands-on leadership of end-to-end projects in fast-paced environments.
• Strong frontend development skills using modern frameworks like Vue, React, or Angular.
• Proven backend experience in JVM-based environments (Java, Kotlin, C#, etc.), delivering scalable and maintainable solutions for real-world customer needs.
• Solid understanding of cloud infrastructure, especially with AWS, and familiarity with AI-based development or deployment tools.
• Collaborative team player who thrives in cross-functional teams, embraces emerging AI capabilities, and takes full ownership of complex, high-impact deliverables.

Recruiting Process

• Step 1 - Video call: Talent Acquisition interview
• Step 2 - Video call: Live Coding Interview
• Step 3 - Video call: Two Team Interviews
• Step 4 - Offer & background check
• Welcome aboard!

About the Role

CharterUP is seeking a Staff Software Engineer - Full Stack to architect, implement, and own a wide variety of customer-facing software systems powering our two-sided marketplace business. You’ll work closely with our engineering leaders, product managers, and engineering team to design and build systems that will scale with our rapidly growing business needs. You will lead a wide variety of technology initiatives across multiple disciplines, including Web Applications, REST API Services, Mobile Apps, Data Engineering, and DevOps.

Title: Staff Software Engineer - Full Stack

Reports to: Engineering Manager

Location: This position is based in Austin, TX (Hybrid: Monday, Wednesday, Friday in-office).

• Lead the design, development, and delivery of high-quality software products, leveraging modern development practices and AI-assisted tools where appropriate.
• Partner with UX/UI designers to build intuitive, responsive user interfaces and explore opportunities to enhance user experiences through intelligent automation.
• Establish and advocate for software engineering best practices, including the thoughtful adoption of AI-driven development workflows to improve productivity and quality.
• Mentor junior engineers, fostering growth in both technical and AI-enhanced development skills, and promote a culture of continuous improvement.
• Drive the technical vision, providing guidance on complex decisions and identifying where AI capabilities can accelerate innovation or efficiency.

• 8–12+ years of experience as a professional full-stack software engineer.
• Proficiency in building Java backend services and frontends using Vue, React, or Angular.
• Strong understanding of cloud infrastructure, ideally AWS, and awareness of emerging AI-based tools for deployment, testing, and observability.
• Proven track record of leading projects from concept to deployment in fast-paced environments, including evaluating or integrating AI-driven tooling into the development lifecycle.
• Hands-on coder who takes full ownership of complex, end-to-end deliverables, continuously exploring ways AI-assisted technologies can improve speed, reliability, and developer experience.

Recruiting Process

• Step 1 - Video call: Talent Acquisition interview
• Step 2 - Video call: Live Coding Interview
• Step 3 - Video call: Two Team interviews
• Step 4 - Offer & background check
• Welcome aboard!

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain Data Unification, and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native Data Unification capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary: 

Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement.

Job Duties and Responsibilities:

• Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. 
• Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals.
• Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
• Provide high-quality customer engineering assistance that results in high customer satisfaction.
• Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
• Attend meetings with clients to analyze, troubleshoot and diagnose problems.
• Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback.
• Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
• Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption.
• Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives.
• Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
• Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
• Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base. 
• Proactively communicate to avoid escalations and negative customer satisfaction.
• Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
• Support weekend shifts on a rotational/as-needed basis if requested.
• Lead support initiatives for the betterment of the organization and team.
• Other duties and responsibilities as assigned. 

Skills You Must Have: 

• Bachelor's degree in Computer Science or equivalent field of study. 
• 3+ years of experience with on-premise or cloud Data Unification solutions.
• 3+ years of experience supporting enterprise products in SaaS in a customer-facing role.
• 3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
• 3+ years of experience with REST APIs and integration tools.
• 3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
• Experience in data management, master data management, analytics, and big data platforms and technologies.
• Experience in hands-on programming (ex. Python, Java).
• Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
• Experience with RESTful API development and debugging, Postman.
• Experience with web UI development with JavaScript frameworks.
• Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.

Skills That Are Nice to Have:  

• MS in computer science or equivalent experience preferred.
• Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.

Lead Delivery - Senior Staff Engineer

Would you like to work in an engineering environment that rewards your passion? The Lead Services engineering team runs Realtor.com®’s Tier 1, mission-critical lead platform — the real-time system that ingests, allocates, and delivers the leads that directly drive revenue across our products and business lines. From the moment a consumer raises their hand to the instant a high-intent opportunity reaches the right agent or partner, this team ensures those connections are fast, reliable, and observable end-to-end.

Join a team that strives for innovation and excellence using the latest technology and frameworks.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

What You'll Do: 

• Own system architecture and evolution for key parts of the Lead Services platform (e.g., lead ingestion pipelines, allocation engines, delivery services, ARM/lead management), defining clear boundaries, contracts, and data models between services.
• Lead design and delivery of complex, cross-squad initiatives—from early discovery and technical design through implementation, rollout (including CRs/CAB where required), and post‑launch iteration.
• Shape the technical roadmap for Lead Services: partner with EMs, PMs, and Principal Engineers to define and sequence work that advances both business goals and platform health (performance, reliability, security, cost).
• Raise the quality and reliability bar by driving best practices in testing (unit, integration, e2e), observability, and change management (CircleCI, ArgoCD, Jira CRs), and by using DORA and incident metrics to guide improvements.
• Provide technical leadership across Builder teams, coaching Staff/Senior Engineers and Tech Leads, reviewing designs and PRs for high‑risk changes, and aligning teams on shared patterns and paved paths.
• Partner closely with Product Management to translate customer and business problems into robust technical solutions, shaping scope, trade‑offs, and phased delivery plans that tie into Goals, Initiatives, and Epics in Jira.
• Lead operational excellence: influence on‑call practices, incident response (Phoenix), and RCA quality; ensure services meet or exceed SLAs for lead ingest and delivery while continuously reducing incident volume and MTTR.
• Influence engineering culture by contributing to shared standards (DoD, design / incident / CR templates), documenting patterns in Confluence/Backstage, and driving adoption across Lead Services and adjacent communities.

What You'll Bring:

• 10+ years of software engineering experience, including significant time in large‑scale, distributed systems and 3+ years influencing architecture and design across multiple teams.
• Demonstrated track record leading complex, ambiguous initiatives end‑to‑end (design → implementation → rollout → operations) with measurable business and reliability outcomes.
• Prior experience in high‑throughput, high‑availability platforms (e.g., marketplaces, transactional or event-driven systems) is strongly preferred.
• Proven ability to set technical direction for a problem space, align multiple teams, and drive execution without formal authority.
• Deep proficiency in at least one of Python, TypeScript/Node, or similar back‑end languages, and familiarity with React/TypeScript for full‑stack collaboration.
• Experience designing and operating cloud-native services on AWS (EKS, containers, managed databases, messaging/streaming) with modern CI/CD (e.g., CircleCI, ArgoCD).
• Strong grounding in system design, data modeling, and API design (REST/GraphQL), including performance, resilience, and security considerations.
• Comfort working with observability tooling (metrics, logs, traces) and using data to debug, optimize, and harden systems in production.
• Independent and can manage your own projects and time with ease, all the while setting and managing stakeholder expectations
• Strong communication skills: you can explain complex trade‑offs clearly to engineers, product partners, and non‑technical stakeholders, and you adapt your message to the audience.
• A track record of mentoring and elevating other engineers, helping them grow into Staff and beyond through coaching, clear expectations, and actionable feedback.
• Bachelor’s degree in Computer Science/Engineering/related field or equivalent professional experience.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

About the team

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform.

About the role

As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across their most important business processes. Where needed, you will build custom applications and solutions in TypeScript, JavaScript, Python, and related languages to bring these experiences to life.

You will employ your creativity and technical expertise to ideate and shape how AI, analytics, and workflows are used in customers’ processes. You are a product expert focused on implementation — building, shipping, and iterating to ensure customers get the most out of the DevRev platform.

What You’ll Do

• Customer-Facing: 30% working directly with customers
• Coding & Integration: 70–80% hands-on technical implementation

Build & Deploy

• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience

Data & Insights

• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback

Collaboration & Enablement

• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, and customer success teams
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements

What You Bring

• Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
• Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms.
• Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
• Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
• Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you’ll need to accomplish in your first year:

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

About Osano:

Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape.

About the Role:

We’re looking for a Manager, Customer Product Support to lead and scale our support function as we grow.

This role is both strategic and hands-on—you’ll act as a player-coach, leading a small but high-impact team, managing the support system, and directly engaging in tickets, escalations, and technical troubleshooting.

You’ll be responsible for building the systems, processes, and tooling that allow Support to scale efficiently—without simply adding headcount—while ensuring a high-quality customer experience.

This position is ideal for someone who thrives in fast-paced SaaS environments, enjoys solving complex technical problems, and is energized by building structure where it doesn’t yet exist.

Responsibilities:

Support Operations & Scaling

• Own and manage the support ticket queue and day-to-day operations
• Define, track, and improve key support KPIs (FRT, CSAT, resolution time, backlog)
• Build scalable processes and workflows to support growth without increasing headcount
• Identify and implement automation across triage, routing, and resolution

Technical Troubleshooting & Escalation

• Act as a senior escalation point for complex technical issues
• Diagnose front-end, browser, and integration-related issues
• Support API troubleshooting and technical debugging
• Design and improve escalation workflows across Support, Product, and Engineering

Tooling & Systems (DevRev Ownership)

• Lead implementation and optimization of DevRev (or similar tools)
• Build dashboards, reporting, and operational visibility into support performance
• Continuously improve tooling to increase efficiency and insight

Team Leadership (Player-Coach)

• Manage and coach a small team of Support ICs
• Provide mentorship, feedback, and performance guidance
• Balance leadership responsibilities with hands-on ticket ownership

Cross-Functional Collaboration

• Partner closely with Product, Engineering, and Customer Success
• Strengthen feedback loops between customer issues and product improvements
• Influence product decisions through support insights and trends

About You:

• You’re curious, self-directed, and motivated to learn quickly
• You thrive in ambiguity and create clarity for others
• You’re calm under pressure and strong in customer escalations
• You’re both a leader and operator—comfortable coaching and doing
• You lead with empathy, accountability, and a strong customer-first mindset
• You’re excited about building responsible, scalable systems

Must-Haves:

• 5+ years in technical support or similar within a SaaS environment
• 2–3+ years of experience managing support teams or ICs
• Proficiency in JavaScript, HTML, and CSS (debugging level)
• Ability to troubleshoot client-side and browser-based issues using developer tools (console, network, etc.)
• Strong understanding of API calls, integrations, and how systems interact
• Experience working within technical support queues and managing ticket workflows
• Experience with support tools (Zendesk, Jira, HubSpot Support, DevRev, or similar)
• Familiarity with AI tools (e.g., Claude Code) to improve troubleshooting efficiency and workflows 
• Ability to work cross-functionally with customer, product, and engineering teams.

Nice-to-Haves:

• Privacy, security, or compliance SaaS support experience
• Experience with mobile SDKs (iOS and/or Android)
• Server-side or backend experience (APIs, integrations, systems architecture)
• Deeper expertise in JavaScript frameworks or advanced debugging techniques
• Experience supporting technical implementations or customer integrations
• Experience building automations or scripting for support workflows
• Familiarity with project management tools (Airtable, Airfocus, Jira, etc.)
• Experience owning knowledge bases, in-app support, or customer education resources.

Why Us:

• We're a welcoming team that's dependable, curious, moves fast, and full of talented people
• We're a B-corporation with a mission that matters, in a high-growth space with significant potential
• You'll become a privacy expert, including the opportunity to obtain your Certified Information Privacy Manager credential
• You'll have access to our training program, well-defined career paths, and a leadership team that values professional development

Benefits:

• Competitive-pay compensation and ownership interest/equity
• Unlimited paid time off, plus a requirement to take at least two weeks off per year
• We're a Best Place for Working Parents and offer paid parental leave for all new parents
• Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna
• A fully and permanently remote company so you can work from anywhere in the U.S. 
• Receive a MacBook and $600 to craft your home workspace
• Annual company trip designed to foster connection, creativity, and fun
• Mental health benefits with free memberships to mindfulness and talk therapy services

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Enterprise Systems tech community, the vital architectural backbone where Realtor.com®'s most ambitious strategic initiatives transform into reality. Our team doesn't just manage software; we build the high-speed 'engine room' that powers the entire business lifecycle—integrating complex sales, billing, inventory, and fulfillment platforms into a seamless, high-scale ecosystem.

At Realtor, you will be part of a forward-thinking community dedicated to compressing the distance between business intent and execution. We research and deploy cutting-edge autonomous workflow engines to ensure our customers and internal partners have a best-in-class, friction-free experience. We strive to innovate by building self-healing infrastructures and AI-driven automation that make the transaction journey faster and more intelligent than ever before. Join us to push the boundaries of what’s possible, turning traditional systems of record into dynamic engines of growth, while learning from world-class talent in a culture that thrives on experimentation and impact.

As a Staff Full Stack Developer, you will be the bridge between complex enterprise data and high-performance user experiences. You will join the Enterprise Systems tech community to build the tools that empower our customers and partners to navigate the home-buying lifecycle with unprecedented speed. You aren't just writing code; you are designing the digital workflows that ensure our sales, order, and fulfillment engines run at peak efficiency.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Top Reasons to Apply:

• Lead a "Greenfield" Launch: You will be the founding engineer for our new Digital Storefront. This isn't about maintaining legacy code; it’s about architecting a high-performance "online store" from the ground up.
• High-Impact Technical Ownership: Serve as the strategic bridge between business intent and execution, designing the scalable micro-frontend architectures that power our most ambitious enterprise initiatives.
• AI-Accelerated Engineering: Maximize your impact by utilizing LLMs and AI coding assistants to automate repetitive tasks, allowing you to focus on high-level architectural and strategic challenges.
• Cutting-Edge Tech Ecosystem: Master a sophisticated stack featuring React/Next.js, Node.js, and AWS, while integrating real-time event-driven services and Generative AI directly into the user experience.
• Culture of Innovation & Speed: Join a world-class "engine room" environment that prioritizes experimentation, self-healing infrastructure, and the deployment of autonomous workflow engines.

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

POSITION SUMMARY

We are seeking a visionary Lead AI Architect to lead the design and implementation of next-generation AI solutions by bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will be responsible for architecting scalable Generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights.

You will serve as the technical authority on how Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock interact, ensuring our AI solutions are secure, scalable, and impactful. You will move beyond simple integrations to build robust "Bring Your Own Model" (BYOM) architectures.

PRIMARY RESPONSIBILITIES

AI Strategy & Architecture (40%)

• Define the end-to-end architecture for Generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker.

• Design "Bring Your Own Model" (BYOM) patterns, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock.

• Architect the data ingestion and grounding strategies (RAG - Retrieval Augmented Generation) to ensure AI models have access to real-time, unified customer profiles from Data Cloud.

• Establish the governance framework for AI, ensuring compliance with the Einstein Trust Layer regarding data privacy, zero-data retention policies, and PII masking.

Implementation & Development (30%)

• Lead the technical implementation of Model Builder and Prompt Builder within Salesforce, connecting them to external AWS endpoints.

• Configure Amazon Bedrock agents and knowledge bases to execute complex tasks and retrieve proprietary data for Salesforce users.

• Develop serverless middleware using AWS Lambda and API Gateway to facilitate low-latency communication between Salesforce Flow/Apex and AWS inference endpoints.

• Oversee the fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation.

Cross-Functional Collaboration (20%)

• Partner with Data Engineers to ensure Salesforce Data Cloud is correctly ingesting, harmonizing, and activating data streams from S3, Redshift, and other sources.

• Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into the flow of work (Service Console, Sales Cloud LWC, etc.).

• Act as the subject matter expert for Product Managers, translating "AI buzzwords" into viable technical roadmaps and realistic deliverables.

Optimization & Innovation (10%)

• Monitor LLM performance, latency, and token costs; implement caching strategies and model selection logic to optimize spend.

• Stay ahead of the rapid evolution in the Salesforce/AWS partnership, evaluating new features like Zero Copy Data Sharing and Vector Databases.

QUALIFICATIONS

Required Technical Skills:

• AWS AI/ML Stack: Deep expertise in Amazon Bedrock is mandatory. Experience configuring Bedrock Knowledge Bases, Agents, and Guardrails. Proficiency with AWS Lambda, API Gateway, and IAM for secure cross-cloud access.

• Salesforce AI Stack: Strong working knowledge of Salesforce Data Cloud, Einstein 1 Platform, and the setup of Model Builder/Prompt Builder.

• Architecture: Experience designing RAG (Retrieval Augmented Generation) architectures and Vector Database integrations (e.g., OpenSearch Serverless or Pinecone).

• Integration: Expert-level knowledge of REST/gRPC APIs, OAuth flows, and named credentials for secure Salesforce-to-AWS connectivity.

• Programming: Proficiency in Python (for AWS Lambda/Boto3) and familiarity with Apex (for Salesforce triggers/callouts).

Experience:

• 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science.

• 3+ years specifically focused on AI/ML solutioning or Data Engineering.

• Proven track record of deploying at least one Generative AI solution into production (not just POCs).

• Experience implementing "Zero Copy" architecture between Salesforce and Data Warehouses (Snowflake/Redshift) is a major plus.

Certifications (Preferred):

• AWS Certified Solutions Architect (Professional)

• AWS Certified Machine Learning – Specialty

• Salesforce Data Cloud Consultant or AI Associate

KNOWLEDGE, SKILLS, AND ABILITIES

• LLM Fluency: Deep understanding of context windows, prompt engineering techniques (Chain of Thought, ReAct), and embeddings.

• Security First: A paranoia for security—understanding how to prevent prompt injection and ensure data residency compliance when data leaves Salesforce for AWS.

• Communication: The ability to explain to a generic C-suite executive why we need a Vector Database without losing their attention.

About the role

We are hiring a Senior Software Engineer to lead the development of our internal AI platform and orchestration components, helping us accelerate the deployment of intelligent Agents and RAG pipelines across the organization. You will own the core infrastructure and SDKs that bridge the gap between raw LLM capabilities and production-grade applications, turning complex AI research and data into seamless, scalable tools for our engineering teams. Your work will directly enable us to automate sophisticated workflows and deliver smarter, AI-driven products to our users.

You’ll be a key architect and builder of our internal AI platform, designing components that power various AI Agents and Retrieval-Augmented Generation (RAG) pipelines. You prioritize ensuring that complex logic branches and AI workflows are well-understood, tested, and focused on engineering excellence. You will build APIs and services that are highly intuitive to consume, ensuring our internal teams can seamlessly integrate AI capabilities into their workflows.

Responsibilities

• AI Platform Engineering: Build and maintain the core infrastructure, services, and SDKs that empower the rest of the company to leverage LLMs and Agentic workflows.
• Scientific Collaboration: Partner closely with Applied Scientists and Data Scientists to translate experimental models and research into scalable, production-grade AI services.
• Data Strategy: Work with Data Engineers to design robust data pipelines that feed into RAG systems, ensuring high-quality, real-time data retrieval for AI context.
• Internal Onboarding: Act as a technical consultant and facilitator for other engineering teams, helping them successfully onboard their specific AI use cases onto the platform.
• Design & Document: Design, document, and deploy public AI interfaces that provide an exceptional developer experience for internal users.
• Operational Excellence: Collaborate with Site Reliability Engineers (SRE) to deliver AI applications in a repeatable, stable, and highly efficient software development lifecycle.
• Quality Engineering: Develop comprehensive test cases for AI models and workflows, working with QE to ensure deterministic and reliable outcomes in a non-deterministic AI landscape.

Skills and Qualifications

• Core Development: Expert-level API and service development in Python (required) and/or Go. Experience with SQL, database management
• AI Architecture: Hands-on experience building RAG pipelines, managing vector databases, and orchestrating multi-agent systems.
• Cross-Functional Fluency: Proven ability to communicate technical requirements effectively across Data Science, Data Engineering, and Product domains.
• Cloud Native Principles: Deep understanding of production-tested principles including horizontal scaling, 12-factor application design, and security principles like OWASP.
• Observability: Experience monitoring AI performance and analyzing model/software errors using tools like Sentry, DataDog, or Jaeger.
• DevOps Tools: Proficiency in container-based development with Docker and source control via Git.
• Experience: At least 5+ years of hands-on software development experience—"It’s not the years, it’s the miles."

Bonus Points 

• Experience with AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, LiteLLM, or CrewAI).
• Production experience with distributed, event-driven, and message-driven architectures.
• Experience building self-service "Platform-as-a-Product" for internal developers.

Compensation

Our compensation reflects the cost of labor across several US geographic markets. The US base salary for this position ranges from $150,000.00/year in our lowest geographic market up to $200,000/year in our highest geographic market. Consistent with applicable laws, an employee's pay within this range is based on a number of factors, which include but are not limited to relevant education, skills, job-related knowledge, qualifications, work experience, credentials, and/or geographic location. Your recruiter can share more on target salary for your location during the interview process. Coalition, Inc. reserves the right to modify this range as needed.

Perks

• 100% medical, dental and vision coverage
• Flexible PTO policy
• Annual home office stipend and WeWork access
• Mental & physical health wellness programs (One Medical, Headspace, Wellhub, and more)!
• Competitive compensation and opportunity for advancement

About the Role

Realtor.com is looking for a Director of Engineering, Consumer Enablement to lead the platform and enablement organization that powers all consumer-facing web and mobile experiences. This is a high-impact engineering leadership role responsible for three core pillars: Web & Mobile Platforms, Consumer Services, and Quality Enablement — the foundational systems and tooling that every consumer product team at Realtor.com builds on.

You will lead a multi-team org of ~40 engineers (FTE + contractors), managing senior engineering managers and staff engineers across web platform, mobile platform, component systems, backend services, and quality engineering. You'll report to the VP of Consumer Engineering.

This role is equal parts technical depth and organizational influence. You're not shipping features — you're building the paved path that lets dozens of engineers ship faster, safer, and with higher quality.

What You'll Do

Platform Strategy & Execution

• Own the technical roadmap for web and mobile platform infrastructure, including the MFE architecture (web-islands), CI/CD pipelines, React Router 7 migration (Project Oracle), and headless CMS platform
• Drive the next evolution of Realtor.com's design system (rdc-ui V4: Panda CSS migration) and component ecosystem used across 41 codebases
• Lead the decomposition of legacy monolithic services (Hestia) and the transition to domain-owned GraphQL subgraphs via Pantheon federation

Engineering Enablement

• Define and deliver the "paved path" — standardized patterns, tooling, and guardrails that reduce cognitive load for 100+ consumer engineers
• Own DORA metrics for the org
• Partner with stream-aligned teams (Buyers & Sellers, Search, Personalization, New Homes, Rentals, Mobile squads) as an internal platform provider

Quality at Scale

• Evolve the quality enablement model — shifting quality left through automation, AI tooling, and developer-owned testing
• Oversee the testing pyramid: reducing E2E test reliance, scaling Playwright frameworks, and rolling out the AI Quality Toolkit

Cloud Cost & FinOps

• Own the engineering cost envelope for Consumer Enablement — AWS spend, CircleCI credits, and third-party tooling budgets
• Partner with FinOps and infrastructure teams to instrument cost attribution, identify rightsizing opportunities, and enforce cost-aware development practices across the paved path
• Establish unit cost baselines for key platform operations (e.g., cost-per-deploy, cost-per-test-run) and drive measurable efficiency improvements quarter over quarter

People & Organization

• Lead and develop 3 senior engineering managers and multiple staff engineers across 7 sub-teams
• Create clear career frameworks and growth paths that retain top engineers and set expectations at every level
• Build inclusive team cultures with high psychological safety — where engineers do their best work, managers are effective coaches, and feedback flows in all directions
• Drive hiring rigor: define role profiles, calibrate leveling, and make high-quality talent decisions in partnership with recruiting
• Manage headcount planning, contractor-to-FTE ratios, and capacity allocation across competing priorities in a lean org

AI Strategy & Developer Enablement

• Partner with engineering managers to embed AI practices into daily workflows — code review, documentation, incident response, sprint planning
• Represent the Consumer Engineering perspective in AI investment decisions: what to build internally, what to buy, and what to deprecate

What We're Looking For

Required

• 10+ years of software engineering experience with at least 5 years leading engineering teams, including managing managers
• Bachelor’s degree or equivalent experience
• Demonstrated experience owning platform, infrastructure, or developer tooling organizations — not just product delivery teams
• Deep understanding of modern frontend architecture: micro-frontends, component systems, React, TypeScript, CI/CD pipelines
• Experience with backend GraphQL/API services and federated architecture patterns
• Strong track record of improving engineering velocity and developer experience at scale (DORA metrics, lead time, deployment frequency)
• Excellent cross-functional communication and stakeholder management — able to influence without authority, represent platform value to product and business leaders, and navigate competing priorities across multiple stream-aligned teams

Preferred

• Experience with AI developer tooling strategy: evaluating, deploying, and driving adoption of AI-assisted development tools across an engineering organization
• Hands-on background with FinOps practices: cloud cost attribution, unit economics for platform operations, CI/CD spend optimization, and engineering budget ownership
• Experience with mobile platform engineering (iOS/Android release processes, CircleCI, React Native or native)
• Familiarity with Apollo Federation, GraphQL schema governance, and Pantheon-style API gateway patterns
• Background in quality engineering transformation — shifting from manual QA models to developer-owned quality
• Experience with headless CMS platforms and content-driven architecture
• Familiarity with AWS infrastructure (EKS, Lambda, DynamoDB, CloudFront, ArgoCD)

Tech Stack You'll Own

React · TypeScript · Node.js · GraphQL (Apollo Federation) · NestJS · Swift · Kotlin · AWS (EKS/Lambda/DynamoDB) · CircleCI · ArgoCD · Playwright · Panda CSS · styled-components · New Relic · Splunk

Why This Role

• Org-wide leverage: Everything consumer runs on what this team builds. Your decisions affect 100+ engineers daily
• Clear technical vision: Active initiatives with real momentum — Oracle, CMS, rdc-ui V4, Hestia decomposition — not greenfield ambiguity
• AI-forward culture: The org is actively building and deploying AI-powered tooling with 100% AI adoption as a company goal
• Senior team: You'll work alongside Staff and Sr. Staff engineers who are already deep domain experts
• Real ownership: Full responsibility over people, platform roadmap, and cost envelope — not a coordinator role

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Reward You:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Position Overview

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value creativity, ownership, and the drive to build meaningful technology that solves real-world security challenges. Every engineer has the opportunity to make a measurable impact—on the product, the company, and our culture. We believe in using the right tools for each problem, mentoring and learning through peer reviews, and continuously improving how we build. 

The Application Data Platform team designs, builds, and maintains data-intensive applications that power customer-facing features across REST APIs and UI components. Python is our primary language, and we take pride in delivering end-to-end solutions—from frontend and API design to backend systems and databases.

Responsibilities:

• Translate product requirements into robust, scalable, and maintainable software solutions.

• Collaborate with Product Management, UX, Security Research, and Data Science teams to simplify security for our customers.

• Provide technical leadership—mentoring, code reviews, and architectural guidance.

• Design, develop, test, deploy, and maintain software in production environments.

• Own quality, reliability, and performance across the stack; proactively identify areas for improvement.

• Work with relational and non-relational databases to enable seamless data flow.

• Engage actively in team discussions—contributing ideas, asking questions, and driving continuous improvement.

Requirements: 

• 5+ years of professional software engineering experience.
• 2+ years of Python development experience.
• 3+ years working with cloud providers (AWS, Azure, or GCP).
• 4+ years of database experience, including relational systems (MariaDB, PostgreSQL, MySQL, etc.).
• Experience designing REST API contracts (OpenAPI, Swagger, etc.).
• Skilled in debugging, performance profiling, automated testing, and documentation.
• Hands-on experience with CI/CD pipelines and deployment automation.
• Strong understanding of software design principles and modern development practices for data-intensive systems.
• Familiarity with containers and Kubernetes.
• Proficiency with Unix/Linux environments.
• Excellent communication and collaboration skills.
• Self-motivated and proactive; able to take initiative and challenge assumptions constructively.

Preferred: 

• Experience with Python web and asynchronous frameworks (Django, Flask, Celery, FastAPI).
• Knowledge of authentication and authorization standards (OAuth, OIDC, IAM, SAML).
• Experience with full-stack development, particularly backend-heavy applications.
• Strong SQL tuning and performance optimization skills.
• Experience with Infrastructure as Code (Terraform, Terragrunt, CloudFormation, Troposphere).
• Familiarity with analytical (OLAP) and Lakehouse databases (Delta Lake, Iceberg, Snowflake, BigLake, etc.).

Education: 

• BS or MS in Computer Science/Engineering (or equivalent experience)

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.