About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact.

We're looking for skilled and experienced engineers to join our team and help lay the groundwork for our growing software platform. We believe in using the best tool for the job. While we’re always looking to improve, in this role, those tools currently include:

• Python
• Vue.js
• Django + DRF
• Docker
• AWS: EKS, S3, RDS/PostgreSQL, SQS, MSK/Kafka

What You’ll Do 

• Solve interesting problems with code. 
• Build new features for internal and external users, and refactor existing ones to make them better.
• Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you'll be neck-deep in low-level systems, and other times you'll be pairing up with the front-end team on the user interface.
• Drive the architecture of our application platform, considering the team and our future product roadmap.
• Collaborate with product, design, machine learning, and infrastructure teams.
• Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
• Mentor, learn, and share knowledge with others along the way.
• Take responsibility for the quality of the code produced by you and the team.
• Contribute to a SaaS platform used in clinical trial workflows, ensuring reliability, data integrity, and compliance with industry standards.
• Collaborate with clinical, QA, and regulatory teams to ensure software changes meet validation expectations and support inspection readiness.

What You’ll Need

• Bachelor of Science (or higher) in Computer Science or equivalent.
• 5+ years of full life cycle development experience.
• An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
• Experience and skills in designing and building Python-based (FastAPI or Django) applications.
• Experience with modern frontend JavaScript frameworks such as React, Vue, or equivalent for building responsive, user-friendly interfaces.
• Solid foundation in data structures, algorithms, and OO design.
• Ability to collaborate with a distributed team and to work autonomously on projects.
• Strong problem-solving skills and the ability to work in a fast-paced, agile environment.
• Cloud Platform experience (AWS) (knowledge of some IaC framework is a plus).
• Hands-on experience with CI/CD tools like GitLab CI is a plus.
• Knowledge of containerization technologies like Docker and container orchestration tools like Kubernetes is a plus.

We Want to Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. 

The cash compensation outlined below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets for eligible positions. Certain roles may also qualify for overtime pay. In addition to cash compensation, some roles are eligible to participate in PathAI’s equity plan and may receive restricted stock units (RSUs). Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.

Annual Pay Range:
$127,500 - $195,500

Not Overtime Eligible

Eligible for RSUs

#LI-Boston

About Us

We are on a mission to accomplish the impossible and build a safer future of autonomous and robotic machines. We are looking for a growth-minded and dynamic Infrastructure Engineer - Hardware-In-the-Loop (HIL) who embodies our values of excellence, ownership, collaboration, and effective communication.

Role Overview

We are seeking a Senior Engineer focused on building and scaling HIL test infrastructure and automation platforms. This role goes beyond test execution — you will design multi-bench systems, CI/CD-driven workflows, and reliable lab infrastructure to enable efficient, repeatable validation of Fort products.

Responsibilities

• Design and scale Hardware-in-the-Loop (HIL) benches for system and device-level validation
• Build infrastructure for multi-bench orchestration (scheduling, parallel execution, resource management)
• Build and manage DevOps workflows for test infrastructure, including pipeline automation, environment provisioning, and artifact management.
• Design and integrate CI/CD pipelines for hardware-based testing
• Build containerized (like Docker) environments for reproducible test execution
• Develop systems to control hardware programmatically (power, connectivity, devices)
• Improve lab infrastructure, fixtures, and test environments for scalability and reliability
• Build logging, metrics, and observability systems for debugging and traceability
• Collaborate with firmware, cloud, and hardware teams to resolve system-level issues
• Mentor engineers and drive best practices for scalable test infrastructure

Qualifications

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or related discipline preferred
• 5+ years of experience in embedded systems, robotics, or hardware-software systems
• Strong experience with HIL/SIL systems or test infrastructure
• Proficiency in Python for automation/framework development
• Experience designing automation systems at scale (multi-device, multi-environment, or distributed systems)
• Strong experience with CI/CD systems (GitLab, Jenkins, or similar), including pipeline design and automation workflows
• Experience with containerization technologies (Docker) and building reproducible development and test environments
• Familiarity with DevOps practices and scalable system design
• Experience with embedded communication protocols (Ethernet, CAN, BLE, Wi-Fi)
• Strong debugging skills across hardware and software systems
• Ability to design modular, maintainable systems and work cross-functionally

Preferred

• Experience with distributed systems or orchestration platforms
• Experience with cloud/logging tools (Azure, Grafana, etc.)
• Knowledge of safety standards (IEC 61508, ISO 26262)
• Hands-on hardware/fixture design experience
• Interest in applying AI/ML in daily engineering workflows

InterSystems Cloud Development initiatives enable healthcare organizations to revolutionize their operations through innovative, cloud-based technology solutions. Our team thrives on integrating cutting-edge InterSystems technologies with leading public-cloud services to solve complex, high-impact problems.

In a dynamic environment driven by constant innovation, we excel through creative thinking, exceptional problem-solving, teamwork, and an unwavering commitment to excellence. Every team member plays a critical role in our customers’ success, grounded in mutual trust and accountability. At InterSystems, we embrace change and challenge as catalysts for growth.

As a Principal Cloud Engineer, you combine deep technical expertise with strategic vision and leadership. You will own the architecture, automation, and operational excellence of large-scale, mission-critical healthcare workloads—guiding cross-functional teams and mentoring engineers while collaborating with product, security, and executive stakeholders.

Key Responsibilities

• Architect & Lead
  • Design end-to-end cloud architectures (network, compute, storage, security) for InterSystems IRIS-based solutions, ensuring scalability, resiliency, performance, and compliance.
  • Establish technical roadmaps and standards for infrastructure-as-code, CI/CD, observability, and security across multiple cloud providers (AWS, Azure, GCP).
  • Serve as the technical authority in design reviews, threat modeling, DR planning, and performance tuning.
• Automate & Operate
  • Build, deploy, orchestrate, and automate application and infrastructure packages using Terraform, Ansible, CloudFormation, Azure Resource Manager, and Kubernetes-based tooling.
  • Champion Git-centric workflows and CI/CD pipelines (GitLab preferred) to enable safe, repeatable releases.
  • Drive rigorous monitoring, logging, and incident-response practices leveraging CloudWatch, Prometheus, Coralogix, Lacework, PagerDuty, or equivalent.
• Mentor & Influence
  • Coach and develop senior and junior engineers; foster a culture of continuous improvement, knowledge sharing, and psychological safety.
  • Partner with product owners and customer executives to translate complex requirements into robust cloud solutions.
  • Lead post-incident reviews and capacity-planning sessions, ensuring lessons learned feed directly into architecture and process refinements.
• Innovate & Evangelize
  • Evaluate emerging technologies (serverless, service mesh, confidential computing, AI-for-Ops) and drive adoption where they add measurable value.
  • Represent InterSystems at industry events and customer briefings, articulating the technical vision and ROI of our cloud-first strategy.

Required Qualifications

• 10 + years managing production healthcare or regulated-industry environments, including application support, code deployment, and 24×7 operations.
• Advanced Linux administration (Red Hat or Ubuntu); strong scripting in Python, Bash, or PowerShell.
• Demonstrated success leading architecture and incident-management efforts for high-availability, multi-AZ/region deployments.
• Proven ability to influence executive stakeholders and navigate competing priorities.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Preferred Qualifications 

• Professional-level cloud certifications (e.g., AWS Solutions Architect – Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect).
• Mastery of configuration-management and IaC (Terraform Enterprise, Ansible Tower, Puppet, Chef).
• Production experience with container orchestration (Kubernetes, EKS, AKS) and service-mesh or serverless architectures.
• Solid understanding of Zero-Trust security principles, DevSecOps pipelines, and compliance frameworks (HIPAA, HITRUST, SOC 2, ISO 27001).
• Expertise in TCP/IP networking, VPN & Direct Connect, load balancing, storage performance, and Linux kernel internals.
• Experience driving large-scale cost-optimization and FinOps initiatives in cloud environments.
• Deep expertise in clinical data integration and interoperability (HL7 V2.x, C-CDA, FHIR, IHE profiles).

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Quality Engineer Rotational Program – Early Career

About InterSystems

InterSystems powers mission-critical applications in healthcare, financial services, government, and other industries. Our data platform, interoperability solutions, and analytics technologies help organizations solve complex problems and deliver meaningful outcomes. With a focus on innovation and client success, we support systems that make a real-world impact.

The Quality Development Rotational Program is a rotational experience for soon-to-be graduates (BS, MS or PhD) who are interested in the delivery of high-assurance software through advanced testing, validation, and system-level analysis. QDP engineers partner with development teams across the company to implement test automation, build continuous integration (CI) pipelines, and identify root causes of bugs and regressions in complex, distributed systems.

We focus on software quality at scale—from performance profiling to security testing—to ensure our platforms are robust, reliable, and ready for real-world use.

Program Highlights:

• 3-week onboarding and training: Learn core technologies, debugging techniques, and best practices.
• Two 6-week team rotations: Gain hands-on experience with different tools, workflows, and testing strategies across our product teams (HealthShare, IntelliCare, Data Platforms).
• Mentorship and support: Work closely with experienced engineers for guidance and career development.
• Team placement: At the end of the program, participants transition to their long-term team based on interest, fit, and business needs.

Why Join Us?

• Cross-Team Experience: Gain exposure to interoperability platforms, data infrastructure, and clinical systems.
• Supportive Mentorship: Learn from seasoned engineers with insight into best practices and career planning.
• Career Path: Transition into a full-time role with growth opportunities in test automation, performance engineering, or security testing.

What We’re Looking For

Education & Background

• Soon-to-be graduates with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related STEM field. Graduation dates ranging from December 2025 to August 2026.

Technical Skills

• Proficiency in object-oriented programming (e.g., Java, Python, C++, C#).
• Exposure to scripting languages (e.g., Bash, PowerShell, Batch scripting).
• Familiarity with unit testing frameworks (e.g., JUnit, pytest, NUnit) and test automation tools.
• Understanding of version control (Git preferred) and CI/CD tools (e.g., Jenkins, GitLab CI).
• Interest or experience in debugging, test-driven development, or software diagnostics.

Professional Attributes

• Strong analytical and problem-solving skills.
• Attention to detail and ability to spot edge cases and performance issues.
• Eagerness to learn, adapt, and grow in a technical, fast-paced environment.
• Passion for software quality and building systems that make a real-world impact.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Role Overview  
We are looking for a  Sr. Control System Engineer/Site Reliability Engineer (SRE) to integrate and maintain the hardware and software systems that enable QuEra’s quantum controls and software stack. You’ll work closely with software engineers, physicists, hardware and test engineers to install, upgrade, maintain, test and troubleshoot multiple hardware and software control systems for our Quantum Computers. This role is a foundational systems engineering role to ensure the reliability, stability, and operational functionality of both our development and production environments.  

Key Responsibilities  

• Implement, maintain and test software and hardware in a heterogeneous system that controls disparate computer system devices. 

• Define, document, implement and test procedures for QuEra’s Quantum computer operations. 

• Manage science, development and testing infrastructure, including hardware-in-the-loop (HIL) setups, containerized services (K8S), routers, switches, and test systems. 

• Propose, and/or implement automated provisioning, configuration, and orchestration of local and remote compute systems used in controlling and testing, simulations.  

• Collaborate with software and test engineering teams to ensure smooth integration/deployment of DevOps tools with custom hardware and quantum-specific workflows.  

• Maintain artifact repositories, test result dashboards, and infrastructure for tracking regressions and system health.  

• Establish and enforce best practices for access control, system configuration, and lab operations.  

• Support incident response, troubleshooting, and root cause analysis for CI/CD failures or system anomalies. 

• Implement automation for monitoring and alerting for systems and services, integrating logs and metrics from embedded systems, test benches, and orchestration layers. 

• Work with CI/CD pipelines for building, testing, and deploying software and firmware across the quantum control stack. 

Required Qualifications  

• Practical implementation of LAN and WAN technologies on switches and routers (to include but not be limited to VLAN configuration, DNS, DHCP, and TCP/IP based services) 

• Practical Linux (Ubuntu, Debian, Redhat) and Windows Administration experience, to include but not be limited to network operations and, application installation and debugging 

• Proficiency in scripting languages such as Python, Bash, or Go, and familiarity with tools like Docker, Git, and Kubernetes.  

• Experience with CI/CD tools (e.g., GitLab CI, Jenkins) and infrastructure-as-code platforms (e.g., Ansible, Terraform, or similar).  

• Familiarity with observability tools (e.g., Grafana, Prometheus, ELK stack) and logging systems for real-time data monitoring.  

• Hands on experience with rack mount servers 

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.  

• 10+ years of experience in a Network SQA, Systems Engineering, SRE, or infrastructure engineering roles.  

Preferred Qualifications  

• Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.  

• Knowledge of secure software deployment and Product life cycles.  

• Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.  

• Exposure to scientific computing, HPC, or quantum software stacks is a plus.  

• Ability to thrive in fast-moving, interdisciplinary R&D teams.  

Salary range is $160,000-$225,000. We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Responsibilities:

• You will be responsible for designing, coding, testing, and releasing software
• Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust
• Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on-call rotation
• Work in an environment that supports your individual growth
  
  

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a full stack software developer
• Required: Demonstrable understanding of software engineering fundamentals
• Required: Knowledge of HTML, CSS, DOM web programming.
• Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript.
• Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab.
• Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills
  
  

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

#LI-Hybrid

Xometry is seeking a Senior Software Engineer to join our software engineering organization. In this role, you’ll work as part of a skilled, collaborative team to build and maintain solutions for the Post Order/Order Management team. You will play a crucial role in the Xometry platform, ensuring the reliability, scalability, and security of our services.

Responsibilities:

• You will be responsible for designing, coding, testing, and releasing software
• Reading, writing, and reviewing code written in HTML, Typescript/Javascript/React, Python, and Rust
• Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Operational responsibility for the services that are owned by your team, including deploying services into an AWS and kubernetes environment and taking part in an on-call rotation
• Work in an environment that supports your individual growth

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a full stack software developer
• Required: Demonstrable understanding of software engineering fundamentals
• Required: Knowledge of HTML, CSS, DOM web programming.
• Required: Knowledge and demonstrated experience in at least two of React, Python, Typescript.
• Desired: Experience with build and testing technologies using one or more of the following Git/Github actions, GitLab.
• Required: Experience with software engineering principles related to security, scalability, asynchronous programming and transactions
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills

The estimated base salary range for new hires into this role is $119,000-$155,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a 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; EAP, other wellbeing resources; and much more.

#LI-Hybrid

We are seeking a Senior Platform Engineer to join our Development Security Operations (DevSecOps) team within the Platform Engineering organization.  This team is responsible for providing Application Security (AppSec) scanning for our build pipelines, improving security for our build and deployment pipelines, ensuring safe Supply Chain deliveries, and sustaining and enhancing general DevOps workflows.

In this role, you will contribute as a full-stack developer with strong DevSecOps mindset. You will work on a diverse range of initiatives—improving build pipelines, providing a "single pane of glass" view of our security posture to our Security team, and researching new tools and processes for our environment. Your work will be foundational to securing our development infrastructure and supporting a culture of continuous improvement.

This position is ideal for engineers who are passionate about security, enjoy solving technical challenges collaboratively, and thrive in a dynamic environment.

Key Responsibilities:

• AppSec Development: Provide expertise in SCA (Black Duck), SAST (Checkmarx), and DAST (Acunetix) scanning, integrating scans into pipelines.  Automate feedback from scans to Security and Development teams.
• Supply Chain Security:  Lead initiatives to improve Supply Chain security with delivery tools such as Entrust's Code Signing Gateway.
• Modernization Projects: Contribute to the re-architecture and modernization of legacy tools using scalable, maintainable technologies focused on performance, usability, and reliability.
• Cross-Team Collaboration: Partner with engineers, product managers, and other platform teams to identify pain points and deliver impactful solutions.
• Code Quality & Best Practices: Write clean, maintainable code and contribute to code reviews, documentation, and continuous improvement of development practices.

Qualifications:

• Experience: 5+ years of professional experience in Software Development, Platform Engineering, or DevOps roles.
• Technical Proficiency: Strong programming skills in at least one major language (e.g., Python, JavaScript/Node.js, ObjectScript, Go) with proficiency in both frontend and backend development.
• Database Knowledge: Solid understanding of SQL and experience working with relational databases.
• DevSecOps & Tooling: Experience with secure CI/CD pipeline development, and familiarity with tools such as GitLab, Perforce, Black Duck, Checkmarx, Acunetix, and Entrust.
• Adaptability & Initiative: Demonstrated ability to quickly learn new technologies, take initiative, and contribute meaningfully in a dynamic, evolving environment.
• Collaboration & Mentorship: Strong interpersonal and communication skills. Experience mentoring junior engineers and guiding interns or small project teams.

Preferred Qualifications:

• Atlassian Tools: Experience with the Atlassian product suite, including JIRA and Confluence.
• DevOps: Experience with Perforce and GitLab.
• InterSystems Technologies: Experience with InterSystems IRIS and ObjectScript, or a strong interest in learning them.

Education and Training:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

As a Senior Quality Development Engineer on the InterSystems IRIS® Data Platforms Cloud team, you will contribute to the development of high quality, robust InterSystems software by uncovering weaknesses and areas for improvement. If you are passionate about software, you will excel in this role by building tools and automation that verify new technologies as well as verifying that these new technologies do not adversely affect existing features. Your strong technical capabilities, curiosity to learn new things, creativity, and resourcefulness are an essential part of InterSystems’ innovation process.

Duties and Responsibilities:

• Develop automated functional, load and stress tests to test InterSystems products functionality in a multi-cloud environment, with focus on configurations and data that fairly represent customer systems
• Develop test scenarios and author and execute test plans
• Collaborate with interdepartmental teams to provide early feedback on new features
• Promote product quality by advocating for the customer's point of view as well as verifying that the product meets the customer’s needs

• Review product source code to inform test design for edge and stress test case development for key areas of the product such as failover and recovery

• Review the documentation and verify that it is clear and concise. Ensure that the documented procedures are clear and easy to follow

Qualifications:

• Ability to read code critically, finding bugs, weak spots, and performance bottlenecks
• Enthusiasm for debugging and learning new technical skills
• Understanding of Software Development Life Cycles (SDLC)
• Experience with application development, relational databases, and object-oriented development
• Experience with cloud technologies such as AWS, Azure, and GCP
• Familiarity with UI (Angular, Typescript, JS) and UI test automation (Selenium)
• Experience with container technologies such as Docker and Kubernetes
• Familiarity with software test tools and automation methodologies
• Experience with Object-Oriented programming (Java, .Net, C#, C++, Python) or C
• Experience with Python modules such as pytest, Kubernetes, boto3
• Effective communication and analytical skills
• Curiosity and aptitude for acquiring new technical skills and knowledge in a dynamic and highly technical environment
• Versatility and flexibility  
• Attention to detail and a passion for breaking things

Desirable:

• Experience with the Go programming language
• Technical knowledge of operating systems
• Experience with Windows batch and PowerShell scripts, unix  sh and bash scripts
• Experience with distributed systems and networking
• Experience with GitLab pipelines and continuous integration
• Familiarity with healthcare specifications such as FHIR, HL7 v2, or CDA
• Familiarity with accessibility tools (SortSite, Deque)
• Familiarity with InterSystems products, such as IRIS, ObjectScript, or HealthShare

Education and Training:

• Bachelor’s Degree in Computer Science or a related field and five years of relevant professional experience or Master’s Degree in Computer Science or a related field and two years relevant professional experience.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.