Staff Cyber Resilience Engineer

🏢 Summary: Senior Staff Site Reliability Engineer role focused on defining SRE strategy, architecting scalable infrastructure, and leading complex cross-functional reliability initiatives. The position involves AWS, Kubernetes, Terraform, CI/CD, and observability platforms to improve operational excellence and system scalability. The role also includes technical mentorship, infrastructure security, and collaboration with engineering and executive stakeholders. 🗂️ Requirements: 8+ years of infrastructure management or backend software development experience, Experience in fast-paced product-driven environments, Expertise in Python, Javascript, or Unix Shell, Extensive AWS experience across multiple accounts and regions, Deep knowledge of Terraform, Deep knowledge of Kubernetes, Experience with advanced CI/CD pipelines, Experience with Docker and containerization, Experience leading cross-functional technical projects, Ability to handle operational escalations for complex issues, Strong communication and collaboration skills 📃 Skills: AWS, Python, Javascript, Shell, Terraform, Kubernetes, Docker, CI/CD, ArgoCD, GitHub, Coralogix, Sentry 🏢 Description: Xometry is seeking a Staff Site Reliability Engineer to join our Site Reliability Engineering (SRE) Organization. In this role as a senior individual contributor, you will define the technical strategy and direction for the reliability and performance of our infrastructure and software systems. You will lead complex, cross-functional initiatives, mentor senior engineers, and influence key architectural and business decisions across our technology organization. You will utilize your deep technical expertise to architect and implement highly reliable and scalable infrastructure solutions that empower our technology organization to quickly and safely deliver features to our customers at scale. How You'll Contribute: - Lead the resolution of the most complex, cross-cutting technical challenges and drive them to completion, ensuring alignment with organizational goals - Define the long-term technical roadmap and strategy for core SRE platforms and services - Architect, scope, and drive delivery of major engineering initiatives, balancing trade-offs between effort, risk, and long-term business impact - Set the standard for clean, efficient, and well-documented code, focusing on core system improvements and features - Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes to technical and executive stakeholders - Provide technical mentorship to engineers across the organization and drive organization-wide adoption of best practices for operational excellence, observability, and infrastructure security - Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work - Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems), focusing on architectural design and scaling - Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.), including defining SLOs and SLIs - Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc) What You'll Bring: - 8+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment - Demonstrated deep technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell - Extensive experience with AWS, including architecting, deploying, monitoring, and scaling production workloads across multiple accounts and regions - Deep expertise with Terraform, Kubernetes, advanced CI/CD pipelines, and Docker/containerization best practices - Proven experience leading technical projects with significant cross-functional impact - Comfortable working in an operational environment, including acting as a point of escalation for complex issues outside of the on-call schedule - Excellent communication and collaboration skills, comfortable engaging with technical and executive stakeholders Benefits: - Base salary range: $165,000 - $190,000 annually + bonus - 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 - EAP and wellbeing resources

🏢 Summary: Staff Software Engineer (Backend) role focused on building advanced detection capabilities and scalable backend services across hybrid on‑prem and SaaS environments. The position involves architectural design, platform integrations, and leveraging AI/ML to enhance detection accuracy while mentoring engineers. It combines deep technical ownership with cross‑functional collaboration to drive product and platform improvements. 🗂️ Requirements: Degree in Computer Science or equivalent practical experience, 6+ years of experience building enterprise‑grade software with .NET, Experience designing and delivering scalable on‑prem and cloud‑based systems, Understanding of DevOps, CI/CD, and observability tooling, Strong knowledge of distributed systems and modular architectures, Experience with Docker, Kubernetes, and Infrastructure as Code, Ability to design REST APIs and asynchronous communication patterns, Proficiency in modern object‑oriented backend languages, Experience with high‑performance databases, Experience with Azure 📃 Skills: .NET, Azure, Docker, Kubernetes, IaC, CI/CD, DevOps, REST, PostgreSQL, EF, SQL, AI, ML, OOP 🏢 Description: We are looking for a Staff Software Engineer (backend oriented) , who will work on advanced detection capabilities, scalable backend services, and architectural improvements across hybrid environments. This role combines deep technical ownership with the opportunity to influence product direction and mentor other engineers. Responsibilities: Build and enhance detection features across services in hybrid environments Design scalable backend components for both on‑prem and SaaS deployments Contribute to platform‑wide integrations across multiple products Use AI/ML tools to improve detection accuracy, anomaly identification, and engineering productivity Collaborate with product, platform, and engineering leaders to align technical decisions with business goals Mentor engineers and support a culture focused on innovation, security, and technical excellence. Requirements: Degree in Computer Science or equivalent practical experience 6 - 10+ years of experience building enterprise‑grade software, including experience with .NET Background in designing and delivering scalable on‑prem and cloud‑based systems (ideally experience with Azure ) Understanding of DevOps, CI/CD, and observability tooling Strong understanding of distributed systems and modular architectures Experience with Docker, Kubernetes, and IaC Ability to design robust REST APIs and asynchronous communication patterns Proficiency in modern object‑oriented backend languages Experience with high‑performance databases (e.g., PostgreSQL, EF Core) Nice to have a solid knowledge of identity‑related technologies. Benefits: Attractive salary and benefits package, including Multisport card, insurance, and medical care Hybrid work from the Krakow office International work environment in a product company Training and development opportunities within the organization.

🏢 Summary: Senior Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position involves driving AI-powered solutions, shaping cloud-native architecture on AWS, and solving complex scalability and performance challenges across distributed systems. The role operates across multiple teams, influencing technical strategy and mentoring senior engineers. 🗂️ Requirements: 8+ years of software engineering experience, Experience designing and delivering large-scale SaaS applications, Experience with complex distributed systems, Strong backend expertise in Python and/or PHP, Strong system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS cloud environments, Experience with CI/CD pipelines and observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Staff Software Engineer role focused on technical leadership and architecture for a large-scale SaaS marketing automation platform undergoing an AI-first transformation. The position drives cross-team architectural decisions, scalability improvements, and adoption of AI-powered and LLM-based solutions. It emphasizes system-level impact, mentorship of senior engineers, and cloud-native platform evolution. 🗂️ Requirements: 8+ years software engineering experience, Experience designing large-scale SaaS applications, Experience with distributed systems, Strong backend expertise in Python or PHP, Solid system design and architecture experience, Hands-on experience with AI-powered products or LLM integrations, Experience with AWS environments, Experience with CI/CD pipelines, Experience with observability tools, Knowledge of MySQL, Redis, or DynamoDB, Ability to drive architectural decisions across teams 📃 Skills: Python, PHP, AWS, React, Ember, MySQL, Redis, DynamoDB, CI/CD, LLM, AI, Observability 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Staff Software Engineer to join our client's growing engineering organization and help shape the future of a large-scale SaaS platform undergoing a major AI-first transformation. This is a highly impactful role focused on technical leadership, architecture, and cross-team collaboration. As a Staff Engineer, you’ll work across multiple engineering teams, helping solve complex technical challenges, drive architectural decisions, and accelerate the adoption of AI-powered solutions and agentic workflows across the platform. Rather than being tied to a single product area, you’ll operate at a broader organizational level, partnering closely with Engineering, Product, Design, and AI teams to improve scalability, performance, and engineering excellence. You’ll also play a key role in mentoring senior and lead engineers, helping raise the technical bar across the organization. This role is ideal for someone who enjoys tackling complex system-level challenges, influencing technical strategy, and driving impact through architecture, mentorship, and technical leadership rather than people management. Key takeaways: Stack: Python/PHP, AWS, React/Ember, MySQL, Redis, DynamoDB, CI/CD pipelines, observability tooling, and AI/LLM-powered services. Salary : 31 000 - 37 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical architecture session (1,5h) Panel (including cross-functional, AI-focused, High Grader | 1,5h) Responsibilities: Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub. Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities. Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP, while maintaining awareness of frontend technologies such as React and Ember. Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions. Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments. Mentor senior and lead engineers, fostering engineering excellence and best practices. Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health. Requirements: 8+ years of software engineering experience , including designing and delivering large-scale SaaS applications and complex distributed systems. Strong backend expertise with Python and/or PHP in production systems. Solid system design and architecture background, with the ability to drive technical decisions, solve complex platform-wide challenges, and balance short-term delivery with long-term scalability. Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions. Proven ability to influence technical direction across teams and drive architectural decisions. Experience with AWS, CI/CD, observability, and modern engineering practices. Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies. Experience with React or Ember is considered a plus. Background in marketing automation, CRM, or e-commerce platforms. Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: The role focuses on ensuring reliability, scalability, and performance of large-scale cloud-based applications by building and maintaining resilient infrastructure. You will manage AWS cloud environments, Kubernetes clusters, and CI/CD pipelines while implementing monitoring, automation, and incident response processes. The position emphasizes Infrastructure-as-Code, observability, and continuous reliability improvements. 🗂️ Requirements: 5+ years experience in SRE, DevOps or similar role, Strong experience with AWS cloud services, Experience with Infrastructure-as-Code tools, Hands-on experience with Kubernetes, Proficiency with Docker, Experience with CI/CD pipelines, Solid knowledge of PostgreSQL or Amazon RDS, Strong SQL knowledge, Knowledge of networking concepts (VPC, DNS, troubleshooting), Strong Linux/Unix administration skills, Experience with observability tools, Experience with automation in infrastructure, Experience with incident management 📃 Skills: AWS, Terraform, Pulumi, Kubernetes, EKS, Docker, GitHub, PostgreSQL, RDS, SQL, VPC, DNS, Linux, Unix, Prometheus, Grafana, Datadog, Dynatrace, CI/CD 🏢 Description: We are looking for an experienced Site Reliability Engineer to ensure the reliability, scalability, and performance of large-scale cloud-based web applications. You will work closely with software development, cloud operations, and platform teams to build and maintain resilient infrastructure and improve system stability. Key Responsibilities: Design and maintain monitoring, alerting, and incident response systems to ensure high availability Collaborate closely with engineering, product, and architecture teams Build and manage cloud infrastructure using Infrastructure-as-Code (e.g., Terraform, Pulumi) on AWS Operate and optimize Kubernetes environments (e.g., EKS) Develop and maintain containerized applications using Docker Improve CI/CD pipelines and drive automation across deployment processes Implement and manage observability tools (logging, metrics, tracing) Participate in incident management, postmortems, and reliability improvements Support capacity planning, disaster recovery, and system scaling Contribute to security, compliance, and operational best practices Develop automation and AI-driven solutions for monitoring and incident prevention Requirements: 5+ years of experience in SRE, DevOps, or similar roles Strong experience with AWS cloud services and Infrastructure-as-Code tools Hands-on experience with Kubernetes and containerized environments Proficiency in Docker and CI/CD pipelines (e.g., GitHub Actions) Solid understanding of databases (e.g., PostgreSQL, Amazon RDS) and SQL Knowledge of networking concepts (VPC, DNS, troubleshooting tools like dig/traceroute) Strong Linux/Unix administration skills Experience with observability tools (e.g., Prometheus, Grafana, Datadog, Dynatrace) Familiarity with automation and AI-based solutions in infrastructure Strong problem-solving and incident management skills

🏢 Summary: Staff Full-Stack Software Engineer role focused on architecting and developing scalable software platforms for advanced manufacturing, robotics, and production operations. The position involves leading technical strategy, building distributed full-stack systems, and driving engineering excellence across cross-functional teams. This is a hands-on senior individual contributor role working with modern cloud-native and manufacturing technologies. 🗂️ Requirements: Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field, 10+ years of professional software engineering experience, Experience building and scaling production software systems, Expert-level TypeScript, Expert-level JavaScript, Strong Node.js experience, Strong React experience, Deep understanding of software architecture, Experience with distributed systems, Experience with API design, Knowledge of database technologies, Experience leading technical initiatives across teams, Experience designing scalable and reliable software platforms, Ability to lawfully access U.S. export-controlled information and technology 📃 Skills: TypeScript, JavaScript, Node.js, React, GraphQL, Kubernetes, Docker, Cloud, API, SQL, MES, ERP, PLM, Robotics, MachineLearning, AI 🏢 Description: Divergent is seeking a Staff Full-Stack Software Engineer to lead the architecture, design, and development of mission-critical software systems that power its next-generation manufacturing platform. This role is intended for highly accomplished engineers who combine deep technical expertise with strategic thinking and organizational influence. As a Staff Engineer, you will serve as a technical leader across multiple software initiatives, driving architectural decisions, establishing engineering standards, and solving complex technical challenges across engineering, manufacturing, robotics, and factory operations. You will operate with significant autonomy while partnering closely with engineering leadership to shape the future of the software ecosystem. This is a hands-on individual contributor role with broad technical influence across teams and products. Technical Architecture & Strategy - Define and drive the technical architecture for critical software platforms supporting engineering, manufacturing, and production operations. - Establish long-term technical direction and influence software strategy across multiple teams and initiatives. - Design scalable, resilient, and maintainable systems capable of supporting rapid business growth and factory expansion. - Evaluate emerging technologies, architectural patterns, and development methodologies to improve platform capabilities. - Partner with engineering leadership to identify technical investments and roadmap priorities. Full-Stack Software Development - Architect, design, and develop complex full-stack applications using modern technologies such as TypeScript, React, Node.js, GraphQL, and cloud-native infrastructure. - Lead development of highly available APIs, services, user interfaces, and data platforms. - Design distributed systems and scalable backend services supporting manufacturing and operational workflows. - Drive implementation of complex technical initiatives from concept through production deployment. Cross-Functional Engineering Leadership - Collaborate closely with Manufacturing Engineering, Robotics, Product, Operations, Quality, and Design Engineering teams. - Translate complex operational and business requirements into scalable software solutions. - Serve as a trusted technical advisor across engineering disciplines. - Lead technical discussions and influence key decisions impacting multiple teams and products. Engineering Excellence - Establish software engineering best practices, coding standards, testing strategies, and architectural guidelines. - Lead architecture reviews, design reviews, and technical planning activities. - Drive improvements in reliability, observability, scalability, security, and maintainability across software systems. - Identify and proactively mitigate technical risks affecting long-term platform success. Mentorship & Technical Leadership - Mentor and develop senior, mid-level, and junior engineers. - Raise the technical bar across the organization through coaching, code reviews, and design guidance. - Lead major technical initiatives involving multiple stakeholders and engineering disciplines. - Foster a culture of ownership, innovation, collaboration, and continuous improvement. Basic Qualifications - Ability to lawfully access information and technology subject to U.S. export controls. - Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related technical field; equivalent experience considered. - 10+ years of professional software engineering experience. - Extensive experience building and scaling production software systems. - Expert-level proficiency in TypeScript, JavaScript, Node.js, and modern front-end frameworks such as React. - Deep understanding of software architecture, distributed systems, API design, and database technologies. - Demonstrated success leading technical initiatives that span multiple projects, products, or teams. - Strong experience designing highly scalable, reliable, and maintainable software platforms. - Exceptional communication, collaboration, and problem-solving skills. Preferred Qualifications - Background developing software for advanced manufacturing, industrial automation, robotics, aerospace, defense, automotive, or other complex hardware-centric environments. - Strong understanding of digital manufacturing ecosystems, including MES, ERP, PLM, factory automation, or production operations platforms. - Expertise in Kubernetes, Docker, cloud-native architectures, and distributed computing systems operating at scale. - Proficiency designing and operating data-intensive applications, event-driven architectures, and real-time operational systems. - Knowledge of software integration with robotic systems, industrial equipment, sensors, machine controls, or automation platforms. - Familiarity with machine learning, artificial intelligence, and data-driven optimization techniques applied to engineering or manufacturing workflows. - Track record of driving technical strategy, influencing architectural decisions, and delivering cross-functional initiatives with significant business impact. - Demonstrated ability to mentor senior engineers and elevate engineering standards across an organization. - Passion for solving complex technical challenges in highly interdisciplinary environments that combine software, hardware, and manufacturing technologies. Work Environment - This position is on-site 4 days a week at the Torrance, CA headquarters. Compensation - Engineer II: $122,430 - $168,340 + Equity - Senior Engineer: $141,380 - $194,390 + Equity - Staff Engineer: $163,270 - $224,500 + Equity What We Offer - Competitive salary, equity plan, and discretionary bonus opportunities. - Paid vacation, sick time, company holidays, year-end shutdown, and paid parental leave. - Comprehensive health and wellness benefits including HMO and PPO plans. - Company-sponsored life insurance and disability coverage. - Learning and development reimbursement opportunities. - Collaborative, fast-paced, mission-driven work environment. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected characteristics. Additional Information - Duties and responsibilities may change based on business needs. - Participation in E-Verify is required to confirm employment eligibility in the United States. - Qualified applicants with arrest and conviction records will be considered in accordance with applicable ordinances.

🏢 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: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Staff Software Engineer role focused on architecting and delivering mission-critical software for a nuclear energy platform in a highly regulated environment. The position combines hands-on development with technical leadership, system integration, and rigorous quality and compliance practices. The engineer will drive scalable, reliable solutions that support safety-critical operations and cross-functional collaboration. 🗂️ Requirements: Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field, 7+ years of progressive software development experience, Experience in safety-critical or highly regulated industries, Proficiency in JavaScript, TypeScript, or Python, Experience with full SDLC (Agile and Waterfall), Strong knowledge of software design patterns, data structures, and algorithms, Experience with Git and collaborative workflows, Expertise in complex software architecture design, Strong understanding of software QA and testing methodologies, Ability to debug and troubleshoot complex systems 📃 Skills: JavaScript, TypeScript, Python, Git, Agile, Waterfall, SDLC, AI, ML 🏢 Description: About the role As a Staff Software Engineer, you will serve as a technical leader responsible for architecting and delivering software that powers critical aspects of our nuclear energy platform. You'll work at the intersection of software, engineering, and operations, solving complex problems in a highly regulated environment where reliability and safety are paramount. This role requires both strategic thinking and hands-on execution, with opportunities to influence technical direction, mentor engineers, and drive cross-functional initiatives. Your work will directly contribute to advancing clean, carbon-free energy solutions and shaping the future of the nuclear industry. Responsibilities Software Design & Development: Lead the design and development of robust, scalable, and high-quality software solutions for critical nuclear energy applications. This includes architecting new features, writing clean and efficient code, and participating in code reviews. Technical Leadership: Provide technical leadership and guidance to junior and mid-level engineers, mentoring them in best practices for software development, quality, and adherence to industry standards. System Integration: Work closely with hardware engineers, control systems engineers, and other software teams to ensure seamless integration of software components with physical systems and external interfaces. Quality & Compliance: Implement and advocate for rigorous software quality assurance practices, including comprehensive testing, debugging, and documentation, ensuring compliance with nuclear industry regulations and internal quality standards. Performance Optimization: Identify and resolve complex performance issues, ensuring our software operates efficiently and reliably under demanding conditions. Problem Solving: Tackle challenging technical problems, proposing innovative solutions and driving their implementation from concept to deployment. Documentation: Create and maintain thorough technical documentation, including design specifications, architecture diagrams, and testing protocols. Experience Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field. 7+ years of progressive experience in software development, with a strong portfolio of successfully delivered projects. Experience developing software for highly regulated, safety-critical, or mission-critical industries (e.g., nuclear, aerospace, defense, medical devices, automotive safety). Direct nuclear industry experience is highly preferred. Proficiency in one or more relevant programming languages such as JavaScript, TypeScript, or Python. Demonstrated experience with full software development life cycles (SDLCs), including Agile and Waterfall methodologies. Strong understanding of software design patterns, data structures, and algorithms. Experience with version control systems (e.g., Git) and collaborative development workflows. Expertise in designing and implementing complex software architectures. Deep understanding of software quality assurance principles and testing methodologies. Ability to debug and troubleshoot intricate software systems. Exceptional problem-solving and analytical skills. Strong written and verbal communication skills, with the ability to articulate technical concepts to diverse audiences. Ability to work effectively in a collaborative, fast-paced environment. Preferred Experience Experience building offline-capable, air-gapped, or otherwise disconnected applications, and packaging them for constrained or containerized deployment environments. Hands-on experience integrating third-party physical security systems. Experience applying AI features & ML models into production workflows. Exposure to nuclear, critical infrastructure, defense, or physical security domains. Benefits Competitive compensation packages 401k with company match Medical, dental, vision plans Generous vacation policy, plus holidays Estimated Starting Salary Range The estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement The company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in limiting consideration of certain applicants.