Data Engineer

🏢 Summary: Senior individual contributor role responsible for designing and owning enterprise-scale data architecture and real-time data pipelines that power a strategic DFM AI + IQE partner integration. The position focuses on building scalable batch and streaming systems, defining data models, and ensuring governance, observability, and CI/CD standards across cross-system integrations. The engineer leads the digital data plane connecting internal platforms with external PLM ecosystems in a high-impact, cloud-native environment. 🗂️ Requirements: Bachelor’s degree in STEM or equivalent experience, Minimum 5 years of experience in data engineering, Deep expertise in Snowflake or similar cloud data warehouse, Expert-level SQL, Strong Python proficiency, Hands-on experience with modern data pipeline tools (dbt, Airbyte, Airflow or similar), Experience designing enterprise data architecture across multiple systems, Knowledge of batch and stream processing systems, Experience with highly scalable data stores, Experience with CI/CD, automated testing, contract testing, schema evolution, Strong knowledge of AWS data ecosystem, Experience integrating with enterprise or partner systems (e.g., PLM, ERP, SaaS) 📃 Skills: Snowflake, SQL, Python, dbt, Airbyte, Airflow, Kafka, Spark, Kinesis, Apache, Iceberg, AWS, Teamcenter, BMIDE, APIs, Looker, Streamlit, Terraform, CloudFormation, CI/CD, CDC 🏢 Description: Xometry is looking for a Staff Data Engineer to join the Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how data systems are built and operated. A defining piece of this role is owning the data architecture behind the DFM AI + IQE integration with a strategic partner. You will serve as the data engineering lead for the digital thread connecting the platform to partner ecosystems including Solid Edge, NX, Designcenter, and Teamcenter. You will build the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between systems in real time. Responsibilities Lead with technical depth – Design and drive the implementation of enterprise-scale data architecture and engineering solutions spanning multiple systems and domains. Own the partner integration data plane – Architect and build the data layer of the embedded DFM AI + IQE integration with Teamcenter and Designcenter. Own bidirectional pipelines, the joint data model for parts, BOMs, quotes, and manufacturability signals, low-latency feedback paths, and required governance, lineage, and audit controls. Build for scale – Architect and optimize reliable batch and streaming data pipelines, data models, and platforms handling complex, high-volume and event-driven data flows. Own the full lifecycle – Take end-to-end accountability from data acquisition and transformation through delivery, observability, and performance. Set the standard – Define and enforce best practices for data modeling, CI/CD, testing, code quality, contract testing, and schema evolution. Solve ambiguous problems – Navigate cross-domain technical challenges and deliver solutions meeting business and technical objectives. Develop multi-quarter roadmaps – Translate strategic priorities into technical plans and timelines. Collaborate broadly – Partner with engineering, product, data science, business stakeholders, and external partner engineering teams. Mentor and elevate – Guide engineers through design reviews, code reviews, and mentorship. Evaluate and adopt – Recommend tools, platforms, and architectural patterns within the data engineering ecosystem. Qualifications Bachelor's degree in a STEM field (or equivalent experience) and at least 5 years of experience in data engineering with ownership of large-scale data systems. Deep expertise with cloud data warehouses, preferably Snowflake, including optimization and performance tuning. Expert-level SQL and strong Python proficiency. Experience building and optimizing data pipelines and architectures using tools such as dbt, Airbyte, or Airflow. Experience planning and implementing enterprise data architecture across multiple systems and organizational boundaries. Working knowledge of queueing, batch and stream processing (Kafka, Spark, Kinesis) and scalable data stores (Apache Iceberg). Experience developing database-heavy services or APIs with focus on testability and maintainability. Strong understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines. Strong knowledge of AWS data ecosystem and cloud-native infrastructure. Enterprise integration experience with PLM, ERP, or large SaaS systems; Teamcenter experience is a strong plus. Familiarity with data visualization tools such as Looker or Streamlit. Experience with data governance, data quality frameworks, and observability tooling. Exposure to lakehouse or data mesh architectures. Experience with infrastructure as code frameworks such as Terraform or CloudFormation. Experience with event-driven architecture, CDC pipelines, and low-latency operational data flows. Benefits Base salary range: $180,000–$200,000 annually plus commission, depending on experience and location. Competitive benefits package including 401(k) match, medical, dental, and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; employee assistance program and additional wellbeing resources.

🏢 Summary: Senior individual contributor role leading enterprise-scale data architecture and real-time partner integrations, owning the design of scalable batch and streaming pipelines across systems. Responsible for building and operating the data plane behind a strategic DFM AI + IQE integration, enabling low-latency, bidirectional data flows between platforms. Sets engineering standards for data modeling, CI/CD, governance, and observability while collaborating cross-functionally. 🗂️ Requirements: Bachelor's degree in STEM or equivalent experience, 5+ years in data engineering with ownership of large-scale data systems, Deep expertise in Snowflake and cloud data warehouses, Expert-level SQL, Strong Python proficiency, Experience building and optimizing modern data pipelines (dbt, Airbyte, Airflow or similar), Experience designing enterprise data architecture across multiple systems and partner boundaries, Knowledge of batch and stream processing systems, Experience with highly scalable data stores, Experience writing database-heavy services or APIs, Strong understanding of CI/CD, automated testing, contract testing, schema evolution, Strong knowledge of AWS and cloud-native infrastructure, Enterprise or partner system integration experience (PLM, ERP, or SaaS), Experience with infrastructure as code frameworks, Experience with event-driven architectures and CDC pipelines 📃 Skills: Snowflake, SQL, Python, dbt, Airbyte, Airflow, Kafka, Spark, Kinesis, Apache, Iceberg, AWS, Terraform, CloudFormation, Teamcenter, BMIDE, APIs, CI/CD, CDC, Looker, Streamlit 🏢 Description: Xometry is looking for a Staff Data Engineer to join the Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data architecture decisions, lead the design of scalable pipelines and platforms, and set the engineering bar for how data systems are built and operated. A defining piece of this role is owning the data architecture behind the DFM AI + IQE integration with a strategic partner. You will serve as the data engineering lead for the digital thread connecting the platform to partner ecosystems including Solid Edge, NX, Designcenter, and Teamcenter, building pipelines, data contracts, and observability to move quotes, parts, manufacturability signals, and pricing data in real time. Responsibilities - Lead the design and implementation of enterprise-scale data architecture and engineering solutions across multiple systems and domains - Architect and build the data layer for embedded DFM AI + IQE integrations, including bidirectional pipelines and joint data models for parts, BOMs, quotes, and manufacturability signals - Design low-latency signal paths delivering DFM and pricing feedback into designer environments - Establish governance, lineage, and audit capabilities for partner-integrated data systems - Architect and optimize reliable batch and streaming pipelines for complex, high-volume, event-driven data flows - Own the full lifecycle of data engineering work from ingestion and transformation to delivery and observability - Define and enforce best practices for data modeling, CI/CD, testing, code quality, contract testing, and schema evolution - Solve complex cross-domain technical challenges aligned with business objectives - Develop multi-quarter technical roadmaps and execution plans - Collaborate with engineering, product, data science, business stakeholders, and partner engineering teams - Mentor engineers through design and code reviews - Evaluate and recommend tools, platforms, and architectural patterns Qualifications - Bachelor's degree in a STEM field (or equivalent experience) - At least 5 years of experience in data engineering with ownership of complex, large-scale systems - Deep expertise in Snowflake, including optimization and performance tuning - Expert-level SQL and strong Python proficiency - Experience with modern data tooling such as dbt, Airbyte, and Airflow - Experience designing enterprise data architectures spanning multiple systems and partner boundaries - Knowledge of batch and stream processing technologies (e.g., Kafka, Spark, Kinesis) and scalable data stores (e.g., Apache Iceberg) - Experience building database-heavy services or APIs with focus on testability and maintainability - Strong understanding of CI/CD, automated testing, contract testing, and schema evolution in data pipelines - Strong knowledge of AWS and cloud-native infrastructure - Enterprise integration experience with PLM, ERP, or large SaaS systems; Teamcenter experience is a strong plus - Familiarity with data visualization tools such as Looker or Streamlit - Experience with data governance, data quality frameworks, and observability tooling - Exposure to lakehouse or data mesh architectures - Experience with infrastructure as code (Terraform, CloudFormation) - Experience with event-driven architectures, CDC pipelines, and low-latency operational data flows Benefits - Estimated base salary range: $180,000–$200,000 annually plus commission, depending on experience and location - Competitive benefits package including 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave - Employee assistance and wellbeing resources

🏢 Summary: The offer is for a Platform Engineer to build and operate an Internal Developer Platform that enables self-service capabilities, deployment automation, and standardized software delivery. The role focuses on designing scalable platform components, implementing CI/CD and GitOps workflows, and enhancing developer experience across engineering teams. It involves driving cloud-native infrastructure, automation, and observability practices to accelerate application development. 🗂️ Requirements: 3–7+ years in Platform Engineering, DevOps, SRE, or Software Engineering, Hands-on experience with Kubernetes and Docker, Experience with Infrastructure as Code using Terraform, Experience building CI/CD pipelines, Experience with GitOps deployment processes, Programming skills in Go, Python, or Java, Experience with developer portals and service catalogs, Understanding of cloud-native architectures and automation principles, Polish language proficiency, English C1+ proficiency 📃 Skills: Kubernetes, Docker, Terraform, CI/CD, GitOps, Helm, ArgoCD, Go, Python, Java, Backstage, OpenTelemetry, Prometheus, Grafana, AWS, Azure, GCP 🏢 Description: Role Overview We are looking for a Platform Engineer to help build and operate an Internal Developer Platform (IDP) that empowers engineering and scientific teams through self-service capabilities, infrastructure abstraction, and deployment automation. In this role, you will be responsible for creating a scalable and developer-friendly platform that simplifies software delivery, standardizes engineering practices, and accelerates application development across the organization. You will work closely with development teams to improve developer experience, streamline onboarding, and provide reusable tools, templates, and deployment patterns. Key Responsibilities Design, develop, and maintain core Internal Developer Platform components, including developer portals, service catalogs, and service templates. Build and manage CI/CD pipelines, GitOps workflows, and deployment automation using Kubernetes, Helm, and ArgoCD. Develop and maintain reusable SDKs, templates, and “golden paths” that enable teams to rapidly deploy and operate services. Integrate observability, monitoring, and distributed tracing capabilities into platform services using tools such as OpenTelemetry, Prometheus, and Grafana. Partner with engineering teams to onboard applications and continuously improve the developer experience. Drive platform standardization, automation, and best practices across the software development lifecycle. Contribute to the evolution of cloud-native infrastructure and self-service engineering capabilities. Requirements 3–7+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or Software Engineering. Strong hands-on experience with Kubernetes, Docker, and containerized environments. Solid knowledge of Infrastructure as Code, particularly Terraform. Experience building and maintaining CI/CD pipelines and GitOps-based deployment processes. Programming experience in Go, Python, or Java. Experience with developer portals, service catalogs, and self-service engineering platforms. Strong understanding of cloud-native architectures, automation, scalability, and reliability principles. Able to speak Polish and Engilsh C1+ Nice to Have Experience with Backstage or similar Internal Developer Platform solutions. Knowledge of observability and monitoring tools such as OpenTelemetry, Prometheus, and Grafana. Experience working with public cloud platforms (AWS, Azure, or GCP). Experience supporting large-scale engineering organizations and improving developer productivity.

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: IT Engineer role focused on building and managing secure enterprise infrastructure, endpoint management, networking, IAM, and IT service delivery in a digital health environment. The position involves collaborating with InfoSec and HR teams, leading IT projects, managing hardware and software lifecycles, and supporting scalable IT operations. The role is primarily remote with required onsite work in Denver at least two days per week. 🗂️ Requirements: 8+ years of Enterprise IT experience, Experience managing macOS and Windows environments, Experience implementing MDM solutions, Expertise with IAM platforms, Knowledge of OIDC and OAuth2, Experience managing secure networking infrastructure, Experience with endpoint protection services, Experience with VPN, SASE, and CASB, Experience with Google Workspace administration, Experience using JIRA or similar ticketing systems, Strong technical documentation skills, Ability to work onsite in Denver 2 days per week 📃 Skills: macOS, Windows, Jamf, Kandji, ManageEngine, Okta, OIDC, OAuth2, VPN, SASE, CASB, JIRA, GoogleWorkspace, MDM, IAM, Firewalls, Switches, Wireless, InfoSec 🏢 Description: About the Opportunity We have an immediate opening for an IT Engineer to execute on our enterprise IT roadmap. We're searching for someone excited to build a secure and compliant enterprise IT ecosystem and drive efficiency for our employees. What would I be doing? You will partner with our Information Security, IT Management, and HR teams to evolve and secure our employee-facing infrastructure. On any given day, you will: - Architect Infrastructure: Design, deploy, and maintain robust office networking and automated endpoint management systems to ensure secure and efficient device deployment. - Lead IT Service Delivery: Own the IT service desk lifecycle, streamlining request management and resolution protocols to provide high-velocity support. - Manage Lifecycle & Hardware Logistics: Oversee end-to-end hardware lifecycle management, including procurement, inventory tracking, regular maintenance, and onboarding/offboarding workflows. - Drive Strategic Growth: Assist in development of the IT roadmap, including forecasting software/hardware budgets and coordinating large-scale technology upgrades. - Ensure Security & Compliance: Partner with InfoSec to participate in compliance audits, gather evidence, and implement zero-trust access mechanisms (e.g., SASE, VPN). - Optimize & Scale: Proactively identify process bottlenecks and architect scalable, sustainable solutions that support the company's growth trajectory. - Lead Strategic IT Projects: Independently create project plans, establish clear timelines, and manage deliverables based on team bandwidth and capacity to ensure successful execution of IT initiatives. - Onsite: Ability to work from the Denver office at least 2 days per week. Qualifications - 8+ years of professional experience in Enterprise IT, with a history of owning and evolving core infrastructure. - Expertise in managing macOS and Windows environments, including the implementation of MDM solutions (e.g., Jamf, Kandji, or ManageEngine). - Deep proficiency with Identity & Access Management (IAM) platforms like Okta, including familiarity with authentication protocols such as OIDC and OAuth2. - Demonstrated ability to manage secure networking infrastructure (firewalls, switches, wireless technology) and endpoint protection services. - Strong analytical skills with a data-driven approach to IT management, including reporting on budget utilization, hardware lifecycle, and service metrics. - Experience collaborating with cross-functional teams (e.g., InfoSec, HR) to ensure security and compliance posture (e.g., VPN, SASE, CASB). - Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. - A track record of mentoring team members and providing strategic technical guidance. - Experience tracking requests using ticketing systems such as JIRA. - Extensive experience with owning and managing Google Workspace, including user administration, security configurations, and group policies. - Previous experience working within a startup environment. - Strong experience with documentation and technical writing, including the ability to hold teams accountable for the development and maintenance of technical documentation. Impress us more - Previous experience within digital health - Expertise in Data Loss Prevention software and services - Prior ownership and management of JIRA - Demonstrable previous ownership of IT budgeting and forecasting Compensation - Base Salary: $105,000-$125,000 - Total Target Compensation (TTC): $115,500-$137,500 - Eligible for a 15% target annual bonus - Stock options, paid benefits, and employee perks included Benefits - Medical, dental, and vision plans - 401(k) match program - Stock option incentive plan - 7 company-wide holidays - Week off between Christmas and New Years - Self-managed PTO policy

🏢 Summary: IT Engineer role focused on building and securing enterprise IT infrastructure in a digital health environment. The position includes endpoint management, IAM, networking, IT service delivery, compliance support, and strategic IT roadmap execution in a primarily remote company with partial onsite work in Denver. Candidates will manage scalable IT operations, collaborate with InfoSec and HR teams, and lead infrastructure and hardware lifecycle initiatives. 🗂️ Requirements: 8+ years of Enterprise IT experience, Experience managing macOS and Windows environments, Experience implementing MDM solutions, Proficiency with IAM platforms, Knowledge of OIDC and OAuth2 authentication protocols, Experience managing secure networking infrastructure, Experience with endpoint protection services, Experience collaborating with InfoSec and HR teams, Experience with VPN, SASE, and CASB technologies, Experience using JIRA or similar ticketing systems, Experience managing Google Workspace, Strong technical documentation and writing skills, Ability to work onsite in Denver at least 2 days per week 📃 Skills: macOS, Windows, Jamf, Kandji, ManageEngine, Okta, OIDC, OAuth2, VPN, SASE, CASB, JIRA, Google, Workspace, MDM, IAM, Firewalls, Switches, Wireless, InfoSec 🏢 Description: About the Opportunity We have an immediate opening for an IT Engineer to execute on our enterprise IT roadmap. We're searching for someone excited to build a secure and compliant enterprise IT ecosystem and drive efficiency for our employees. What would I be doing? You will partner with our Information Security, IT Management, and HR teams to evolve and secure our employee-facing infrastructure. On any given day, you will: - Architect Infrastructure: Design, deploy, and maintain robust office networking and automated endpoint management systems to ensure secure and efficient device deployment. - Lead IT Service Delivery: Own the IT service desk lifecycle, streamlining request management and resolution protocols to provide high-velocity support. - Manage Lifecycle & Hardware Logistics: Oversee end-to-end hardware lifecycle management, including procurement, inventory tracking, regular maintenance, and onboarding/offboarding workflows. - Drive Strategic Growth: Assist in development of the IT roadmap, including forecasting software/hardware budgets and coordinating large-scale technology upgrades. - Ensure Security & Compliance: Partner with InfoSec to participate in compliance audits, gather evidence, and implement zero-trust access mechanisms (e.g., SASE, VPN). - Optimize & Scale: Proactively identify process bottlenecks and architect scalable, sustainable solutions that support the company's growth trajectory. - Lead Strategic IT Projects: Independently create project plans, establish clear timelines, and manage deliverables based on team bandwidth and capacity to ensure successful execution of IT initiatives. - Onsite: Ability to work from our Denver office at least 2 days per week. Qualifications - 8+ years of professional experience in Enterprise IT, with a history of owning and evolving core infrastructure. - Expertise in managing macOS and Windows environments, including the implementation of MDM solutions (e.g., Jamf, Kandji, or ManageEngine). - Deep proficiency with Identity & Access Management (IAM) platforms like Okta, including familiarity with authentication protocols such as OIDC and OAuth2. - Demonstrated ability to manage secure networking infrastructure (firewalls, switches, wireless technology) and endpoint protection services. - Strong analytical skills with a data-driven approach to IT management, including reporting on budget utilization, hardware lifecycle, and service metrics. - Experience collaborating with cross-functional teams (e.g., InfoSec, HR) to ensure security and compliance posture (e.g., VPN, SASE, CASB). - Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. - A track record of mentoring team members and providing strategic technical guidance. - Experience tracking requests using ticketing systems such as JIRA. - Extensive experience with owning and managing Google Workspace, including user administration, security configurations, and group policies. - Previous experience working within a startup environment. - Strong experience with documentation and technical writing, including the ability to hold teams accountable for the development and maintenance of technical documentation. Impress us more - Previous experience within digital health - Expertise in Data Loss Prevention software and services - Prior ownership and management of JIRA - Demonstrable previous ownership of IT budgeting and forecasting Compensation - Base Salary: $105,000-$125,000 - TTC: $115,500 - $137,500 - Eligible for a 15% target annual bonus - Stock options, paid benefits, and employee perks included Benefits - Medical, dental, and vision plans - 401(k) match program - 7 company-wide holidays - Week off between Christmas and New Year - Self-managed PTO policy - Employee stock option incentive plan Job duties, activities, and responsibilities are subject to change by the company.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to turn data capabilities into intuitive product solutions. You will shape architecture, drive engineering best practices, and deliver production-grade data applications. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading customer-facing product initiatives from concept to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Node.js, and React, Experience working with Python-based systems, Experience designing APIs and production backend services, Ability to write maintainable, testable, high-quality code, Strong technical design and architecture communication skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Architecture, Testing, Observability, Snowflake, dbt, Kafka, Flink, Materialize 🏢 Description: Built is looking for a Staff Software Engineer to join the Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. WHAT YOU'LL DO - Lead the design and delivery of the application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. - Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. - Partner with Product to shape ambiguous ideas into useful customer workflows and offer practical alternatives. - Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. - Bring strong software engineering practices through technical design, code review, mentoring, testing, and delivery patterns. - Help data engineers expand into software engineering work across frontend, backend, APIs, and production readiness. - Collaborate where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. - Use customer signals, usage data, product feedback, and support insights to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED - Staff-level software engineering experience leading ambiguous, customer-facing product initiatives from idea through production. - Strong product judgment and ability to assess customer value in workflows and requirements. - Full-stack web application experience with backend-leaning depth. - Strong experience with TypeScript, Node.js, React, and modern web application architecture. - Experience with Python or ability to work effectively in Python-based systems. - Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. - Ability to write high-quality, maintainable code with strong testing, readability, observability, and operational ownership practices. - Strong technical communication skills including design documentation and architecture discussions. - Collaborative leadership and mentoring ability. PREFERRED - Experience building data-heavy product experiences such as analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. - Experience working with data engineers, analytics engineers, or data scientists to productionize prototypes. - Experience with AI or agentic product experiences. - Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. - Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or similar domains. - Experience with product instrumentation, activation metrics, experimentation, and usage-based iteration. - Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Benefits - Salary range: $170,000 - $240,000 USD per year. - Equity as part of total compensation. - Medical, dental, and vision coverage. - Unlimited PTO policy. - 401k with match and expedited vesting. - Learning grant program for professional development.