Job Description:

We are seeking an experienced and highly qualified Biomedical Engineer to join our healthcare organization. As a Biomedical Engineer, you will play a pivotal role in managing our medical equipment program and ensuring the safety, functionality, and compliance of medical technology within our healthcare facility. The ideal candidate will have a minimum of three years of hospital or healthcare experience in medical equipment maintenance or management and possess a deep understanding of computer-based medical systems, networking protocols, information security, and healthcare standards and regulations.

*Travel associated with this role will consist of being away for about a week every 2 months*

Responsibilities:

• Develop and implement a comprehensive medical equipment management program that complies with applicable healthcare standards, regulatory agencies, and industry best practices.
• Create and deliver a curriculum for a continuing education program focused on the safe and effective use of medical technology for healthcare staff.
• Manage a recall and safety alert program for medical devices, including conducting medical device hazard investigations, to ensure compliance with patient safety goals, SMDA (Safe Medical Devices Act), and TJC (The Joint Commission) requirements.
• Lead capital asset and infrastructure planning for medical equipment, covering initial concept, installation, and effective implementation of complex medical technology.
• Serve as the subject matter expert in the field of biomedical engineering, providing direct support for specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management.
• Advise clinical and administrative staff on medical technology, including existing and emerging technology, to assess viability, long-term suitability, compatibility, and safety.
• Apply project management principles to the deployment of medical equipment and health information technologies, ensuring timely and effective implementation.
• Collaborate with key stakeholders, including technical and professional staff at various levels of the organization, to ensure seamless integration of medical technology.
• Stay updated on regulatory agencies' requirements, industry regulatory standards, and International Standard Organization (ISO) standards to maintain compliance and drive continuous improvement.

Basic Qualifications:

The Contractor key personnel shall meet one of the following basic qualifications, regardless of role in the services provided under this contract:

• Experience within a medical center and Biomedical Engineering department
• OR, Experience working in or with the Veterans Health Administration (VHA)
• OR, Understanding of VISN, VA medical center, and Biomedical Engineering department operations

In addition to the basic qualifications, the Contractor key personnel shall meet the following role-specific qualifications based on the core functions and services each will be providing under this contract.

Role Specific Qualifications: 

• A Bachelor’s degree or higher in Engineering or Certification as a Clinical Engineer (CCE). 
• 5+ years experience as a Hospital-based BME or a Field Service Engineer with extensive laboratory experience. Major laboratory vendor (e.g., Abbott, Roche, Beckman Coulter etc.) experience preferred.
• Strong knowledge and familiarity with laboratory management systems, both General Lab and Point-of-Care. Knowledge of Data Innovations Instrument Manager, Abbott RALS and Siemens UniPOC highly desirable.
• Experience with Oracle Health (formerly Cerner) EHR, strong experience with Oracle Health (CareAware) MDI and PathNet required.
• Demonstrated knowledge of concepts related to computer based medical systems, networking protocols, and information security as it applies to medical technology within VHA.
• Demonstrated competency in the ability to conduct a medical equipment management program that is compliant with applicable healthcare standards and regulatory agencies; ability to develop a curriculum for a continuing education program that address the safe and effective use of medical technology; ability to manage a recall and safety alert program for medical devices, including medical device hazard investigations, to assure compliance with patient safety goals, SMDA, and TJC requirements; ability to conduct capital asset and infrastructure planning for medical equipment spanning initial concept, installation, and effective implementation of complex medical equipment; ability to function as the subject matter expert in the field of biomedical engineering, directly supporting specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management; ability to effectively advise clinical and administrative staff on medical technology, including existing and emerging technology, which addresses viability, long-term suitability, compatibility, and/or safety; to apply project management principles to deployment of medical equipment and health information technologies.
• Demonstrated skill in in communicating and working collaboratively with key stakeholders, including technical and professional staff at various levels of the organization.
• Understanding of regulatory agencies’ requirements, industry regulatory requirements and International Standard Organization standards.

Eligibility:

Compensation:

Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.

Salary range: $90,000 - $120,000

Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan.

About the role

Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.

Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.

You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.

This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.

What would you do at Fever?

• Act as a technical point of contact for incident management, triage, escalation, and resolution.
• Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
• Troubleshoot complex technical issues across our client-server architecture.
• Perform deep-dive investigations using logs, monitoring tools, and database analysis.
• Write and optimize complex SQL queries to resolve data-related issues.
• Investigate APIs, services, and backend flows to identify root causes.
• Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
• Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
• Help improve monitoring, alerting, and troubleshooting processes.

About you - Must have skills:

Technical mindset

• Proven experience in technical support, production support, troubleshooting, or similar roles.
• Excellent analytical and problem-solving skills.
• Experience working in production environments with exposure to critical incidents and on-call rotations.

Databases

• Strong understanding of PostgreSQL, MySQL, or other relational databases.
• Ability to write complex SQL queries and work with stored procedures.

APIs & Systems

• Knowledge of APIs, services, and client-server architecture.
• Experience working with RESTful APIs and JSON.
• Solid understanding of Unix/Linux environments.

Monitoring & Operations

• Familiarity with ticketing tools such as Jira or Zendesk.
• Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
• Understanding of incident management, triage, escalation, and root cause analysis processes.

Communication

• Professional proficiency in English (written and verbal).
• Experience collaborating with cross-functional and international teams.

Nice to have:

• Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
• Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
• Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
• Curiosity: An active GitHub account or open-source contributions.
• Academic: BSc degree in Computer Science, IT, or a relevant field.

Benefits & Perks

• Attractive compensation package consisting of a base salary. 
• Health insurance and other benefits, such as Flexible remuneration with a 100% tax exemption through Cobee.
• You can receive part of your salary in advance through Payflow.
• 40% discount on all Fever events and experiences
• WellHub Membership
• English Lessons
• Home office friendly anywhere in Spain
• Opportunity to have a real impact in a high-growth global category leader
• Relocation package for international candidates
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!

About the role

Behind our user-friendly apps and global platform is the Engineering team. We are looking for Tech Support Engineers to join our mission. In this role, you will be the bridge between our business operations and engineering, ensuring our systems run smoothly and our users have the best possible experience.

Whether you are deep-diving into complex SQL queries, investigating production incidents, or analyzing code logic to identify a bug, your work will directly impact millions of fans worldwide.

You’ll work in high-scale production environments, participating in incident management and on-call rotations, helping resolve critical issues and improving the reliability and stability of our platform.

This role also offers a unique opportunity for internal mobility; we value growth, and many of our support engineers eventually transition into full-time Software Engineering roles.

What would you do at Fever?

• Act as a technical point of contact for incident management, triage, escalation, and resolution.
• Participate in on-call rotations and support critical production incidents (Sev1/Sev2).
• Troubleshoot complex technical issues across our client-server architecture.
• Perform deep-dive investigations using logs, monitoring tools, and database analysis.
• Write and optimize complex SQL queries to resolve data-related issues.
• Investigate APIs, services, and backend flows to identify root causes.
• Collaborate with Product, Engineering, and Operations teams to improve system reliability and operational excellence.
• Document technical workarounds, incident learnings, and contribute to our internal knowledge base.
• Help improve monitoring, alerting, and troubleshooting processes.

About you - Must have skills:

Technical mindset

• Proven experience in technical support, production support, troubleshooting, or similar roles.
• Excellent analytical and problem-solving skills.
• Experience working in production environments with exposure to critical incidents and on-call rotations.

Databases

• Strong understanding of PostgreSQL, MySQL, or other relational databases.
• Ability to write complex SQL queries and work with stored procedures.

APIs & Systems

• Knowledge of APIs, services, and client-server architecture.
• Experience working with RESTful APIs and JSON.
• Solid understanding of Unix/Linux environments.

Monitoring & Operations

• Familiarity with ticketing tools such as Jira or Zendesk.
• Experience using monitoring and logging platforms such as Datadog, Splunk, Grafana, or Kibana.
• Understanding of incident management, triage, escalation, and root cause analysis processes.

Communication

• Professional proficiency in English (written and verbal).
• Experience collaborating with cross-functional and international teams.

Nice to have:

• Code Literacy: Ability to read or write code in JavaScript, Java, Python, Go, or Elixir (experience with Elixir is a significant bonus).
• Cloud & Infrastructure: Knowledge of AWS, Docker, and Kubernetes.
• Mobile: Familiarity with mobile products (Android and iOS) and design life cycles.
• Curiosity: An active GitHub account or open-source contributions.
• Academic: BSc degree in Computer Science, IT, or a relevant field.

Benefits & Perks

• Fever 40% discount: This discount is for personal use only
• Free Candlelight Event: This voucher is for single use only and is valid for 2 people
• Wellhub Membership: Wellhub gives employees unlimited access to a selected number of gyms, studios, classes, training, and wellness apps. Fever pays it up to the Silver plan
• Medical insurance: Fever offers “Seguro de Gastos Médicos Mayores” with the company GNP, free of charge, as it is covered 100% by Fever. This also includes dental and vision insurance fully paid by Fever
• Life Insurance (Mapfre): We offer this insurance fully paid by Fever
• Savings plan (SURA): The employee contributes 5% of the fixed salary, and Fever contributes another 5%
• English Lessons: Provided by Babelia, 100% paid by Fever
• Aguinaldo: 15 days of salary
• 20 days of paid vacation per year, which you can access after at least six months working with Fever
• Parental leave: Fever provides four (4) weeks of mandatory paid paternity leave, receiving 100% of the base salary, for (male) parents (both birthing and non-birthing)
• You can enjoy the afternoon off on your birthday if it falls on a working day. It’s our way of helping you celebrate!

This position is based in our Reston, VA office and offers a hybrid work schedule.

Verisign is hiring a Senior Site Reliability Engineer to help lead a team responsible for building, managing, maintaining, and scaling the Linux infrastructure on which our mission-critical services depend. We value engineering professionals who are equipped with great technical skills and attitudes that motivate those around them. We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Oversee deployments of solutions that combine Open Source components, COTS (commercial off the shelf) components, and custom developed components
• Deploy, configure, and maintain services in production, QA and development environments, on various platforms
• Possess advanced development of deployment automation including Ansible
• Development of automation and configuration management solutions using tools such as Jenkins
• Securing automated deployments using tools such as Hashicorp Vault
• Securing infrastructure with micro-segmentation tools such as Guardicore
• Documentation of processes, procedures, and configurations
• Coordination with other technical staff to implement systems and software
• Performance of operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them. The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications. The candidate must have:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• 10+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong experience with a high-level scripting language such as Python
• Strong automation experience - not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Strong understanding of network protocols and security
• Experience developing mature solutions for monitoring and reporting using tools like Grafana and Splunk
• Familiarity with development tools such as Github, Jira, and Confluence

Desired Skills, Experience, and Attributes:

• Deployment automation experience using tools such as Ansible
• Experience using Jenkins in a continuous delivery and integration environment
• Experience with Virtualization platforms in a production environment such as oVirt and VMWare
• Experience with HTTP proxies such as Squid
• Experience with RedHat Enterprise Linux
• Experience with CMDB and ITIL platforms such as ServiceNow
• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with Linux authentication via Active Directory
• Experience administrating Linux and Unix systems in a large-scale environment
• Experience working with teams using Scrum a plus

The pay range is $164,300 - $222,300.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

This position is based in our Reston, VA office and offers a hybrid work schedule.

We are looking for a Production Operations Engineer to help lead our team responsible for building, managing, maintaining and scaling operational infrastructure on which our mission-critical services are deployed or depend.  We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.  We seek individuals with a sense of purpose and for whom detail and craftsmanship are of their essence; individuals that are curious, demonstrate initiative, and love solving problems.

Responsibilities:

• Participate in technical designs for software solutions that combine Open-Source components, COTS (commercial off the shelf) components, and custom developed components
• Installation, configuration and maintenance of production, QA and development environments in which Verisign applications are deployed; environments include servers, operating systems, OpenStack, and automation tools
• Development of deployment automation tools including Ansible
• Development of enabling infrastructure using Terraform
• Coordination with other technical staff to implement systems and software
• Performance of occasional operations support functions, including problem isolation and resolution
• Documentation of processes, procedures, configurations, and deployment plans
• Provide critical technical leadership in the areas of operational process and change management, and mentor less experienced engineers
• Regularly reporting progress to management
• Participate in a 24x7 on call rotation

Our ideal candidate will have a unique blend of impeccable technical skills and a desire to work as part of a team to grow themselves and those around them.  The team deploys engineers and operates enabling infrastructure in support of mission critical customer applications.  

The candidate must have:

• Bachelor’s degree in Computer Science or a related technical field, or equivalent combination of education and experience
• 8+ years of experience developing and operating mission-critical systems
• Excellent understanding of Linux configuration and administration
• Strong automation experience - Not just developing automation, but knowing why we automate and what to automate
• Strong understanding of infrastructure-as-code
• Strong written and verbal communication skills – able to clearly and succinctly describe complex issues
• Familiarity with networking protocols and systems

Desired Skills, Experience, and Attributes:

• Experience with RedHat Identity Manager and/or FreeIPA
• Experience with ServiceNow
• Experience with a high-level scripting language such as Python
• Experience with RedHat Enterprise Linux and/or FreeBSD
• Experience with network troubleshooting using such tools as ping, traceroute and dig
• Deployment automation experience using tools such as Ansible
• Experience working with teams using Kanban and/or Scrum a plus
• Experience with Docker or Kubernetes in a production environment
• Experience with OpenStack in a production environment
• Experience administrating Unix systems in a large-scale environment
• Experience using Jenkins in a continuous delivery and integration environment

The pay range is $135,800 - $183,800. 

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

About Anchanto:

Enabling Simpler, Faster and Scalable eCommerce Operations, Our mission is to simplify backend eCommerce operations for businesses of all sizes through our innovative & intelligent SaaS platforms. We aim to transform the way businesses conduct eCommerce in the region, while aggressively moving towards becoming the most customer-centric company in our domain.

Our offices are spread across Singapore, Kuala Lumpur (Malaysia), Jakarta (Indonesia), Manila (Philippines), Sydney (Australia), Bangkok (Thailand), Seoul (South Korea), Pune (India). Our diverse and multicultural fabric is woven in a way that each Anchanter gets complete freedom and opportunity to realize & explore his/her full potential.

We pride ourselves in building awesome & powerful products that have the potential to change the way businesses perceive eCommerce management. We believe in delivering anchanting experiences and aim to become the #1 customer-centric company in our domain.

The Role:

We are currently seeking an experienced QA Lead to develop the software test automation framework for testing the above software product from scratch with use of automation tools like selenium/cucumber/testing etc.

Responsibilities:

• 7-10 years of Manual Testing experience in Functional, Regression, System, Integration and UAT testing, automation testing
• Developing Frameworks from scratch
• Testing concepts and in dept knowledge of Testing and Agile
• Jira knowledge is a must
• candidate should be aware of Selenium Web driver and TestNG
• Should be able to work as backup lead
• will be plus - API Automation - Rest Assured and Karate
• will be plus APPIUM Automation
• E-commerce domain experience will be a huge bonus and will make you stand out in the crowd.
• Experience in Web Based Application testing. (Front End & Back End)
• Should be operational as an individual contributor as well in test case preparation, test data setup and test execution.
• Excellent communication skills required (Verbal & Written) with Onshore & Offshore stakeholders
• 3-4 years of Agile experience required. Experience with Scrum, Sprint, Backlog Planning
• Should have hands-on experience in Team Management, Mentoring juniors, Daily Status Reporting, Client, BA, Dev Co-ordination.
• Experience in Effort Estimation, Capacity Planning, Defect Management, Resource allocation.
• Should be able to handle small – mid size team independently as a Test Lead including activities such as Test Planning, Test Execution, Defect Management, Status Reporting, Effort Estimation, Test Reports
• Experience in dealing with end clients, coordinating with Business Analyst at various stages of QA life cycle
• Thorough understanding and solid hands-on experience in all types of functional testing.
• Experience with mobile app testing is preferred but not mandatory
• Should be able to identify roadblocks, showstoppers and proactively act upon mitigation plan
• Thorough understanding of SDLC & STLC
• Multi-tasking capabilities and leadership qualities required.
• Immediate joiner preferred.
• Quick learner and proactive approach needed
• Should be able to foresee issues/roadblocks that could possibly delay deliverables and proactively escalate to QA Manager
• API Testing, Database testing and Automation Testing experience using selenium will be an added advantage
• Automation experience with Selenium + Test NG / Cucumber is must have

Required Skills:

• Immediate Joiners preferred – Notice Period : Immediate joiner or 30 days Max
• 7-9 years of Manual Testing experience in Functional, Regression, System, Integration and UAT testing.
• 3-4 years of Team Leading, Team Management, Lead level activities
• 7-9 years of hands-on experience in all types of Black Box testing (Smoke, Sanity, System, Integration, Regression, UAT)
• Any Testing related certification will be an added advantage
• 1-3 years of E commerce domain knowledge
• API Testing, Database testing will be an added advantage

Bonus Points For

• Experience with JavaScript is a plus
• Experience with Jmeter / Load runner is a plus
• E commerce domain experience is a plus

Benefits

• Hybrid/remote working options (we have an office in Pune)
• A chance to build career with a fast-growing global SaaS tech company
• An opportunity to collaborate with local & global teams on interesting projects
• Competitive salary package
• Amazing work-life balance
• Learning opportunities
• Work hours: 09:00 AM to 06:00 PM India time with occasional travel if necessary

Anchanto provides equal employment opportunity, promotes diversity; actively encouraging applicants all backgrounds, ages, LGBTQ+, & those with disabilities to apply

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

Proton VPN enables millions of people to connect securely and privately, even in places where the internet is restricted or unreliable. Delivering that experience means our service must perform flawlessly under highly variable, real-world conditions.

We are looking for a Senior Performance Engineer to lead our efforts in making Proton VPN the fastest, most resilient, and most reliable VPN service in the world.

You will define and drive the measurement, analysis, and optimization of Proton VPN’s end-to-end performance, across clients, platforms, and global infrastructure. You’ll help ensure that every connection is fast, stable, and private, regardless of where the user is or what network they’re on.

What you will do: 

• Design and own Proton VPN’s performance framework, defining metrics and KPIs that reflect the real-world experience of users (time-to-connect, throughput, latency, stability, reconnection rates, etc.).
• Develop distributed testing systems that simulate real network conditions, including low bandwidth, packet loss, and high-latency scenarios.
• Continuously measure and analyze performance across platforms (desktop, mobile, backend) and regions to identify bottlenecks and regressions.
• Collaborate with backend, R&D, and client teams to optimize protocol handling, connection setup, routing, and encryption performance.
• Create dashboards, reports, and automated alerts to track global performance health.
• Contribute to the design of resilient connectivity strategies that adapt dynamically to variable network conditions.
• Serve as the performance champion within the engineering organization, mentoring others and driving a data-driven performance culture.

Job requirements: 

Technical Skills

• 5+ years of experience in performance engineering or systems QA, ideally in networking, VPNs, or distributed systems.
• Knowledge of network protocols (TCP/IP, UDP, TLS, WireGuard, debugging, manipulating, and performance profiling tools.
• Proven ability to analyze latency, throughput, and stability metrics across multiple layers (client, OS, transport, application).
• Proficiency in Python (or similar scripting language)
• Familiarity with network emulation and simulation tools (e.g., tc/netem, iperf, IPTables/nfTables…).
• Experience with monitoring and observability stacks (Grafana, Prometheus, Loki) and CI/CD pipelines.
• Cross-platform experience with Linux, macOS, Windows, Android, and iOS preferred.

Bonus points for: 

• Experience with Rust/C/C++/System development

Soft Skills

• Analytical and methodical, yet creative in solving complex performance problems.
• Comfortable working with uncertainty and non-deterministic conditions.
• Collaborative mindset, able to work across client, infrastructure, and data teams.
• Strong communication and documentation skills in English.

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-Onsite

So, what’s the role all about?

As a Specialist Automation Engineer. You will be part of a cross-functional Scrum team that develops and supports specific components of our end product. You will be working hand in hand with the other R&D people. You will be involved in new feature development; provide input to POs and developers on the correct behavior of the system. You own the quality of the product, taking full responsibility for all functional – but also non-functional – aspects, like performance, stability, security, and maintainability. Serve as the quality leader for the group and is accountable for the product quality. Drive the team for continues improvement and innovate with quality assurance practices.

How will you make an impact?

Drive an AI-first quality mindset, leveraging automation and data insights to improve testing, defect detection, and overall product quality

Design and execute AI-assisted test strategies (manual, automation, unit, integration, E2E, exploratory) for web and backend to ensure strong coverage

Own end-to-end quality of modules and releases, ensuring standards, reliability, and customer expectations are met

Identify defects early, proactively diagnose issues, and continuously improve test coverage and risk mitigation

Lead test automation efforts and define QA strategy, deliverables, and ownership across the team

Contribute to Discovery and Epic reviews, partner with stakeholders to identify risks, shape requirements, and ensure environment readiness and stability

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial, or Electronics Engineering

8–11 years of experience as an Automation QA Engineer

Strong experience in test planning and execution for scalable applications

Hands-on with Playwright (TypeScript/JavaScript); knowledge of Java/JavaScript is a plus

Experience with AI-driven testing approaches and test management tools (TestLink, Xray)

Good understanding of Agile (Scrum/Kanban) methodologies

Experience with API testing (Postman), SQL, and microservices architecture

Familiarity with virtual environments, Windows, and shell operations

Hands-on in functional and non-functional testing with a strong quality mindset

You will have an advantage if you also have:

Experience in web & backend testing

Knowledge of HTTP and cloud (AWS preferred)

Exposure to Telecom/UC systems

Experience in risk-based testing & CI/CD

ISTQB/ISEB/TMap certification is a plus

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10799

Reporting into:  Tech Manager
Role Type: Individual Contributor

We're seeking a talented Senior Test Engineer to join our Embedded Platform team. This role demands expertise in embedded software testing on target hardware, with automotive testing experience being a significant advantage. The ideal candidate is a self-starter capable of managing diverse tasks in testing, automation, and requirements analysis. 

Key Responsibilities: 

• Lead verification efforts for Embedded Software, including Diagnostics, Communication, and Bootloader components on Hardware Targets 
• Enhance manual and automated test coverage based on evolving requirements 
• Drive continuous improvement in requirements and test coverage through rigorous quality assurance processes 
• Actively contribute to design and code reviews 
• Develop software and scripts to create and optimize automated testing environments 

Required Qualifications: 

• Proficiency in CAPL, C/C++ (scripting at minimum), or Python 
• Proven experience in testing low-level embedded software functions 
• Skill in creating hardware-based test cases from requirements 
• Ability to transform manual test cases into automated procedures 
• Strong troubleshooting skills across software, hardware, and test environments 
• Expertise in scripting tools and methods to streamline SW development and testing 
• Capability to interpret schematics and data sheets 
• 5+ years of relevant industry experience 
• BS in Computer Science, Computer Engineering, Electrical Engineering, or related field (MS preferred) 

Desired Skills: 

• Experience with CAN and Ethernet debugging/testing using Vector CANoe and similar tools 
• Familiarity with automation via Jenkins, Git (GitLab), Python, or Parasoft 
• Hands-on experience with on-chip debugging tools like Lauterbach 

Join our innovative team and help shape the future of embedded systems. Apply now to drive excellence in software testing and quality assurance. 

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Scopely is looking for a Staff Engineer to join our Monopoly GO! team and work from Sevilla on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

Monopoly GO! is our new casual game and a key franchise that has just become Scopely’s largest game, enjoyed by millions of players. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

What You Will Do
You will have the opportunity to lead & work in one of our game teams, developing new features with our talented team and contributing to a game that is played by millions of players around the world. You will be responsible for:

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, the game design team and other development teams to implement new features and technological pipelines for Monopoly GO!
• Driving the implementation of online game mechanics and system processes using Unity and C#
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration,load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: game design, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences

What We’re Looking For

• 6+ years as part of a professional game development team or other relevant area
• BA or Computing Degree
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Experience with and knowledge of Unity Game Engine or a similar technology (i.e. Unreal Engine)
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications, both for server and client
• Solid understanding of mobile networking best practices: request limiting, request caching, batching, content aggregation, minification, integrating with rest and TCP/UDP services, etc.
• Experience with asynchronous, multi-threaded, parallel programming paradigms and other techniques to maximize UI responsiveness and do operations in background
• Experience and understanding around client-side testing, like unit, functional or integration testing
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

Bonus Points

• Experience building your own games as personal projects or game jams
• Experience with asset pipelines: asset bundles, dependency management, etc
• Mobile experience (iOS and Android): ability to debug native device issues, strong understanding of hardware and platform limitations, performance metrics, etc
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing

ABOUT THE JOB

As an Automation QA professional, you will be involved throughout the development lifecycle of the development team with responsibility in the quality assurance of software development and deployment with emphasis on the development and implementation of test automation. You will be working closely with developers as they develop code to ensure requirements are being met and to the correct quality, and you will conduct automated (and manual tests where necessary) to ensure the software created is fit for purpose.

During testing, you will be thinking “outside of the box” to understand the various scenarios and configurations that customers use to ensure customer quality is maintained and through doing so drive regression testing across the products. You will be responsible for defining and driving innovative automated testing strategies and toolsets into our overall development processes that support and enhance the current Quality Assurance processes.

QA AUTOMATION ENGINEER RESPONSIBILITIES

• Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition through to delivery
• Designing, developing and supporting frameworks for our test infrastructure and providing automation expertise to our development teams
• Engaging with key stakeholders, both internal and external, providing expertise to functional project teams.
• Contributing toward predictable delivery of quality releases
• Research, recommend and implement tools as needed with the goal of increasing automation
• Proactively bringing issues and problems to the attention of the team, generating, proposing, and implementing innovative solutions to solve them
• Be meticulous about documentation and maintaining a robust log of all test cases and test result
• Ensure that all tests are executed and give regular feedback to the team lead on the status of quality
• Use appropriate measures and KPIs to validate and report on software quality
• Work closely with the software engineering team, Product Management and Technical Operations as well as business users and Senior Management, as required
• Be a creative thinker who can quickly identify and test for functional ‘edge cases’ outside of expected functionality workflow

QA AUTOMATION ENGINEER REQUIREMENTS

• At least 3 years of experience in the field of software quality assurance.
• Experience with Playwright
• Good written and communication English (minimum B1)
• Strong analytical thinking
• Good knowledge of different types of testing, including integration testing and performance testing.
• Good knowledge of Postman, JMeter or other testing tools
• Good knowledge of test management tools such as Azure DevOps, Jira, or similar tools
• Good knowledge of SQL databases and queries
• Good knowledge of automated testing tools and frameworks (Playwright/Selenium/Cypress/Appium etc.)
• Basic knowledge of 1 programming language (Java/C#/TypeScript etc)
• Basic knowledge of Git versioning control systems
• Basic knowledge of continuous integration/continuous deployment (CI/CD) processes.

BENEFITS:

• You will work with amazing colleagues from different locations
• You will have the chance to play a key role in a newly-established office in Sofia and write history
• Transport allowance
• 25 days of paid leave annually because for us the work life balance is a must
• Additional health insurance and dental coverage
• A sports card, covering various options for sport
• Food vouchers
• Certification and courses
• Travel opportunities
• Parties and team buildings
• Individual plan for career development
• Coaching and mentorship programs
• Participation in various social initiatives
• Access to an online platform for wellbeing and mind health
• Bonuses for talent recommendation

Who we are

Today PRISMA connects around 20 European markets, making it the leading platform for the movement of gas around the continent. And with the Green Transition well underway, we're now striving to further integrate Europe's energy infrastructure and help secure its energy supply for decades to come. To achieve this, we hand-pick the best tech stacks to solve every challenge we face, ensuring PRISMA remains at the cutting edge of a fast-evolving industry. Learn more about our journey here.

We believe that the strength of PRISMA lies in our people, including their growth, their well-being, and their diverse perspectives. Diversity, Equity, and Inclusion are central to our mission, as detailed in our DEI Matters initiative. With more than 20 nationalities in our team, we are proud of a rich mix of backgrounds and ideas, from music lovers and gamers to philosophers and cycling enthusiasts. This diversity of thought and experience is what drives our innovation and success.

Now, we are looking for two people to join our first structured Trainee Program in Product & Platform roles. Over 18 months, you will build the skills, experience, and perspective to take on a real career in product ownership, customer success, or platform management at PRISMA.

What you'll do

This is a structured 18-month program with a designed curriculum, real deliverables, and real responsibility, earned progressively as you grow. Its centre of gravity is Product Ownership, but it is deliberately broad, preparing you for a genuine range of career paths within PRISMA.

The program runs across six phases:

• Phase 1 · Foundations: PRISMA's products, the European gas market, agile basics, and technical orientation for non-engineers;
• Phase 2 · Immersion: Embedded in Customer Success, introduction to Domain-Driven Design and Event-Driven Architecture, and your first user stories;
• Phase 3 · Practice: Backlog ownership, Event Storming co-facilitation, PMO governance basics, and cross-functional presentations;
• Phase 4 · Deepening: Full requirements lifecycle covering system vision, algorithm specification, event and data design, roadmaps, and service provider coordination;
• Phase 5 · Ownership: Leading discovery and business cases, stakeholder strategy, and AI-assisted product and platform workflows;
• Phase 6 · Graduation: Full responsibility over a product or platform scope, peer review by the other trainee, and a competency-based evaluation.

By the end of the program, you will be well-placed to step into one of the following roles:

• Product Owner: owning a product scope, partnering with engineering teams, and setting direction for what gets built and why;
• Customer Success Representative: the expert bridge between our platform and the transmission system operators, storage providers, and market participants who rely on it;
• Project or Service Manager: governing complex delivery, managing external partners, and ensuring that platform commitments turn into reliable outcomes.

You do not need to know today which of these fits you best. The program is designed to help you find out.

What we expect

We are deliberately keeping this open, because strong platform professionals come from very different starting points. What matters most is attitude and aptitude. In general, we expect you to have:

• A completed qualification in an IT-related field, whether a university degree (computer science, business informatics, economics, engineering, or similar) or a vocational qualification such as Fachinformatiker with relevant professional experience;
• A genuine interest in software and how digital products are built and operated. You do not need to write code, but you need to care about what is under the hood;
• Fluent English, written and spoken, as PRISMA is a multi-national environment and English is our working language;
• Clear, structured communication, as you will regularly be the link between engineers, customers, and business stakeholders;
• The ability and willingness to work primarily on-site in Leipzig, as the program's rotation and mentorship structure requires presence.

The following would be a strong advantage:

• Advanced German skills (B2 or above), as many of our customers, regulatory documents, and key stakeholders operate in German;
• Experience in an IT or software environment in any capacity: support, QA, development, system integration, agile team membership, internship, or working student role;
• Exposure to regulated industries, B2B platforms, or the energy and infrastructure sectors;
• Intellectual curiosity about the European energy transition and the role that digital infrastructure plays in making it happen.

What we offer

• A genuinely structured learning path with modules, milestones, mentored deliverables, and clear phase gates;
• Two trainees hired simultaneously, with pair learning, peer feedback, and a built-in professional relationship from day one;
• Direct mentorship from experienced Product Owners, engineers, customer-facing colleagues, and senior domain experts;
• A real and open career horizon: the program gives you the foundation for multiple trajectories and helps you find your fit;
• Work that matters, on real infrastructure for a continent in transition;
• A Leipzig office with 20+ nationalities, flat hierarchies, and a culture of transparency;
• Occasional home-office flexibility after the initial onboarding phase.

Discover more in the benefits section here.

Where you can learn more

• You can discover more about the PRISMAtes here;
• Our interview process includes different moments, and here you can find out;
• Curious to know what your routine may be like? Check out the story from one of our employees.

Company Benefits & Perks

This is Hybrid role (3 days in office /2 days remote)

About your Team:

On the Transactional Surveillance Technology team you will be testing infrastructure you build will be critical to maintaining the team's velocity and reliability in detecting market manipulation and financial crimes, directly supporting regulatory compliance and protecting millions of client accounts. The quality and reliability you ensure has real-world impact on market fairness and financial security

 What will be your responsibilities within IBKR: 

As a Software Development Engineer in Test and help protect market integrity at massive scale. You'll build and maintain the automated testing infrastructure that ensures reliability across systems processing 1+ billion order events daily—work that directly impacts the fairness and security of financial markets.

• Build scalable testing frameworks that enable our team to deploy confidently and maintain high system reliability
• Design comprehensive test suites covering unit, integration, and acceptance testing that catch issues before they reach production
• Collaborate with engineers and data scientists to embed quality practices throughout the development lifecycle
• Provide metrics and reporting on test coverage, quality trends, and system reliability
• Build and maintain monitoring and alerting systems for test infrastructure
• Develop data quality checks to ensure integrity across pipelines and databases
• Investigate and triage test failures, working with development teams to identify root causes and implement fixes

 What required skill’s you need:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field
• 3+ years of software engineering experience with strong coding skills (Python required)
• Strong experience with unit testing frameworks (pytest, unittest, etc.)
• Strong communication skills with meticulous attention to detail
• Experience with version control systems (git)

Experience & Mindset:

• Solid foundation in testing methodologies and quality assurance principles
• Strong problem-solving and analytical abilities
• Self-motivated with ability to drive projects independently

Preferred Qualifications

• Experience with data quality/lineage platforms (Manta/Ataccama)\
• Background in performance/load testing tools
• API and contract testing experience
• Experience with data engineering concepts and tools
• Experience with monitoring/observability tools

Company Benefits & Perks

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality).
• Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit.
• Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile.
• Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams.
• Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log.

Customer & Stakeholder Management

• Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders.
• Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews.
• Translate technical complexity into clear business impacts for executive stakeholders.
• Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. 

Cross-Functional & Pod Coordination

• Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability.
• Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning.
• Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations.
• Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths.

Methodology & Process Discipline

• Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects.
• Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs).
• Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan.

Metrics & Reporting

• Define and track deployment KPIs, such as:
• Time to Blueprint, Time to First Agent in UAT, Time to Go-Live
• Milestone On-Time Rate
• Defect and incident trends during QA/UAT and Hypercare
• Report delivery status, risk posture, and mitigation plans to internal and external stakeholders.
• Contribute data to capacity and utilization models to inform planning and staffing.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

At Klaviyo, the Sales team prides themselves on being marketing and product experts. While most companies hire pre sales Solutions Engineer to just give demos, fill out questionnaires, and only explain setups, that makes us yawn. As a pre sales Solution Engineer for our Enterprise Sales team, you will be responsible for facilitating long term, deep relationships with the prospects to help drive our market-leading position in the owned marketing space.

So what do we do as Solution Engineers? We work directly with our prospective and existing customers to build technical champions, and help envision how Klaviyo could be used and integrated within our prospects’ and customers' tech stacks. We dive deep, take a consultant-first mindset, and develop solutions that ensure long term success for our customers. We use these engagements as an opportunity to learn, prototype, and ship meaningful improvements to the Klaviyo experience. We look for interesting problems and aim for solutions that are extensible and reusable.

A few things our team has recently built as part of our engagements include: 

• Write integration specifications for customers hosting their eCommerce stores on non-standard platforms, ensuring seamless data flow while maintaining platform integrity
• Modified the Magento extension codebase to accommodate specialized data sync requirements, demonstrating our ability to adapt core integrations
• Developed a new integration for Demandware from scratch, showcasing our capability to expand Klaviyo’s ecosystem of partners
• Built Klaviyo's first ever public chrome extension, which allows anyone (marketer or developer) to troubleshoot and audit their front end API calls being sent to Klaviyo more easily.  

If you’re a creator that gets excited by driving technical success and prototyping new solutions - all within the context of influencing direct strategic sales - this could be for you. What you’ll get in return is the opportunity to be part of an extremely high-performing, strategically-important team that works at the exciting intersection of engineering, sales, and customer engagement.

How You’ll Make a Difference:

• Spearhead the technical and solution pre sales campaign to prospective Klaviyo Mid Market and Enterprise clients to help Klaviyo hit its revenue targets, including
• Technical discovery around current customers architectures, understanding their business and technical challenges and opportunities
• Host technical workshops where you’ll be working with developers and business teams to align technical solutions to overall business outcomes 
• Architect and execute Proof of Value plans to achieve technical selection over the competition 
• You will become a complete expert in the Klaviyo experience, from understanding the data pipelines and code base of our integrations to understanding technical tradeoffs between different implementations
• Support product field alignment by being the voice of our customer needs and working closely with our Developer Experience team and Product teams to synthesize product gap information
• Be the go-to internal technical and subject matter expert resource, educating sales team members as well as prospects/customers to provide a consistently positive Klaviyo experience.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• 3+ years experience in sales engineering, solutions engineering/architecture for a software product or digital agency experience with solution implementation and client engagement
• 3+ years in a role working with web development languages (Javascript, Node.js, React); REST APIs; and/or with a general purpose programming language such as Python
• Strong domain knowledge in several of the following areas and a proven ability to learn new domains quickly:  marketing automation tools, customer data platforms (CDP), eCommerce systems, mobile apps, analytics, ad tech, data engineering
• Proven ability to track and learn from the ever-changing technical landscape and incorporate modern, optimized solutions to high-value problems.
• A compelling and honest communicator and storyteller who can impress prospects at any level from executive to developer, with the capability to persuade technical stakeholders as well as explain technical concepts to non-technical stakeholders
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. 

Klaviyo in APAC:

We are starting small but have big plans for Klaviyo in APAC. Our Sydney team began to take shape throughout 2022 and has now built out our go to market teams in sales, customer success, partnerships, marketing, recruiting and product support. As the team grows we will see a continued expansion of Klaviyo’s customer base and the building of a fantastic working culture in line with what we see elsewhere in Klaviyo but with its own local identity within our Sydney based team. This is your unique opportunity to join us at a very early stage and help to shape our future Klaviyo in APAC.

One of our values as a company is ‘always learning’ and you can feel that in APAC. People are looking to grow and develop and Klaviyo provides a great platform to do so. As we are still relatively early in our journey in APAC this means there is a lot of headroom to grow and develop within your role - we are looking for the leaders of the future. At Klaviyo generally managers are often promoted up into their roles and people are regularly being promoted or moving into new functional areas - it really is an education through experience here. 

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#LI-Hybrid

Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid 

Role Description / Responsibilities

A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance

• Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
• Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities

• Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
• Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
• Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing

• Validate end‑to‑end ETL/ELT workflows.
• Ensure correctness of data transformations and seamless movement between data layers.
• Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices

• Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
• Provide clarity on data issues, identify root causes, and support resolution.
• Participate in refinement sessions to assess testability of new features and data logic.
• Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)

• Develop automated test scripts using Python, PySpark, or Pandas.
• Contribute to automated test frameworks that validate transformations and data quality at scale.

Skills & Experience

Mandatory

• Proven experience testing data and analytics platforms.
• Advanced SQL and PL/SQL skills.
• Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
• Strong understanding of ETL concepts and data transformation methodologies.
• Experience validating large datasets, data pipelines, and data models.

Desirable

• Python for test automation and data manipulation.
• PySpark for distributed data testing.
• Pandas for lightweight automation and exploratory validation.
• Exposure to CI/CD, data observability tools, or version control (Git).

Vonage Applications:

Our Applications business unit focuses on delivering a suite of advanced communication tools designed to enhance customer engagement. From cloud contact centers to feature-rich unified communications solutions, our Applications team is dedicated to providing businesses with the tools they need to streamline operations and improve customer experiences.

Why this role matters:

You'll be the quality champion for our mission-critical voice platform—working 70% on automation and 30% on creative manual testing. This is a technical, hands-on role where you'll build test frameworks, support engineers, and ensure our SIP/voice systems work flawlessly. Perfect for someone eager to grow in automation, AWS, and voice technologies.

Your key responsibilities:

Build & evolve automation (your main focus)

• Design and maintain Python/SIPssert/SIPP-based test frameworks for voice platform validation
• Create CI/CD pipelines with GitHub Actions for continuous testing
• Write automated test suites for SIP protocols, call flows, and carrier integrations
• Develop monitoring automation with AWS and Grafana to catch issues early
• Improve test infrastructure—speed, reliability, and coverage
• Participate in early system design, providing valuable input on early architectural decisions phases
• Own, triage, investigate and help with resolution and validation of production defects or early stage malfunctions during development

Test what automation can't

• Manually validate complex voice scenarios and call quality
• Run exploratory and chaos testing to find edge cases
• Analyze SIP call flows using Wireshark, VoipMonitor etc
• Perform performance testing under real-world conditions

Collaborate & support the team

• Partner with developers on test strategies and code reviews
• Investigate production issues using logs, traces, and packet captures
• Champion quality best practices and shift-left testing
• Document findings and share knowledge with the team

What you'll bring

Must-haves:

• SIP protocol knowledge (call flows, signaling)
• 3+ years QA experience (manual + automation)
• 2+ years test automation framework development
• Network troubleshooting tools (Wireshark, tcpdump, VoipMonitor)
• AWS basics and cloud platform familiarity

Nice to have (we'll help you learn!):

• Python or another programming language
• Ribbon SBC/SLB/PSX, OpenSIPs, or SIPp platforms
• Docker, Grafana, GitHub Actions
• RTP, SRTP, VOIP protocols
• MySQL, DevOps tools (Ansible, Terraform)

You're a great fit if you:

• Love building automation and improving test frameworks
• Are curious about voice/network technologies
• Think creatively about testing challenges
• Enjoy collaborating with engineers
• Have an improvement mindset and eagerness to learn

How you’ll benefit:

In addition to providing exciting work, career advancement opportunities, and a collaborative work environment, Vonage provides competitive pay and benefits including Discretionary Unlimited Time off, Medical, Dental & Vision Insurance and 401(k) + more.

Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process

#LI#LI-KF1-KF1

We are an innovative and collaborative team that is hungry for innovative technologies. We are looking for Software Engineer professionals that are pensioned for coding, testing, willing to learn innovative technologies, while also willing to maintain legacy technologies and can work in fast-paced environments.  This role offers opportunities for growth and is ideal for a collaborative and self-motivated individual who is passionate about building quality software and advancing their technical expertise.  

What you’ll do:

• Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities.
• Determine software solutions, applying object-oriented principles to ensure reusability and scalability.
• Develop and implement code that is clean, efficient, and well-documented, adhering to team standards.
• Conduct unit testing and participate in code reviews to maintain high-quality code.
• Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production), ensuring alignment with project goals and operational needs.
• Manage and optimize CI/CD pipelines, automating build, test, and deployment processes to streamline releases and maintain consistency across environments.
• Utilize team tools including Jira, GitLab, SwaggerHub, and Bruno (similar to Postman) for project tracking, version control, API documentation, and testing, respectively.
• Maintain and update documentation regularly in Confluence to keep resources current and accessible for team collaboration.
• Maintain code quality through regular refactoring and documentation for team knowledge sharing.

What you should have:

Qualifications:

• A bachelor's degree in computer science, Engineering, or a related field with 3-5 years of professional experience; or equivalent experience in lieu of a degree.
• Strong understanding of object-oriented programming and design principles with a Strong focus in Java EE, Jakarta EE, Kotlin.
• Strong understanding of object-oriented programming and design principles.
• Familiarity with cloud environments (AWS, GCP, or Azure preferred) and an ability to leverage cloud-based tools for software development and deployment.
• Solid foundation in software development processes, debugging, and testing.
• Proven experience with Agile and Scrum methodologies.
• Understanding of computer science concepts, including data structures, algorithms, and software lifecycle processes.
• Ability to develop and integrate APIs, and proficiency with SQL and relational databases.
• Basic knowledge of network communications and distributed systems.
• Ability to manage development environments and troubleshoot independently.
• Working knowledge of Linux or Unix operating systems.
• Driven to learn new programming languages and frameworks.
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes) is preferred.
• Strong verbal and written communication skills.
• Ability to work collaboratively and share knowledge with team members.
• Demonstrates organizational skills and an ability to prioritize effectively.

Preferred Qualifications:

• Familiarity with test-driven development and high code coverage standards.
• Experience in front-end and back-end systems integration.
• Working knowledge of modern databases (e.g., PostgreSQL) and microservices architecture.

Paperless Parts provides the manufacturing industry with a SaaS platform that empowers the next generation of manufacturers to join the digital age. When manufacturers use our product, they free up valuable time for faster quoting and estimating, leading to increased profitability and reduced manual steps. From life-saving medical devices to critical components that unlock new depths of outer space, our customers produce parts that go into some of the world’s coolest and most impactful products. It is our mission to enable manufacturers with the technology they need to drive innovation forward.

We are a team of motivated and hardworking creators and doers. If you’re looking to have a direct impact on a Series B fast-scaling company that is revolutionizing an essential industry, read on and apply!

This is a full-time hybrid position based in Boston, MA.

This position requires activities that are subject to US Export Control Laws and require US Citizenship or Green Card Holder.

About the Role 

Step into the role of Principal Software Engineer and serve as a technical force multiplier for our engineering organization. In this high-leverage position, you will look beyond the immediate roadmap to define the architectural vision that will support Paperless Parts for years to come. You will bridge the gap between business strategy and technical execution, ensuring our systems are robust, scalable, and AI-ready.

This role is a powerful catalyst for change and innovation. You will be responsible for modernizing our engineering practices—integrating AI agents into the development lifecycle, driving the evolution from monolithic to a service architecture, and mentoring our engineers to become the next generation of leaders.

Who You Are

• Technical Visionary & Pragmatist: You have a proven track record of evolving complex architectures in scale-up environments. You balance the pursuit of "technical purity" with business reality, making hard trade-offs with incomplete information.
• Force Multiplier: You don't just write great code; you make the entire team better. You are passionate about mentorship and teaching others effective patterns for design, review, and agentic coding.
• AI Pioneer: You think strategically about how AI agents and workflows can fundamentally change how we build software. You believe that "what is good for humans is good for AI," championing standards that serve both.
• Business Partner: You understand that technical debt is a business risk. You can translate complex infrastructure needs into tangible business value (ROI, reliability, speed) to help leadership prioritize effectively.

Why You'll Love Working Here

• Architectural Authority: You will lead the design of our most critical systems, making high-stakes decisions on migrating to distributed architectures and defining our data strategy.
• Optimizing the AI-Native Workflow: You will have the freedom to operationalize AI at scale—implementing agents for ticket resolution, automated reviews, and documentation—driving significant improvements in modern engineering efficiency.
• High-Impact Work: Our software is used in mission-critical industries like aerospace and defense. The reliability and performance standards you set directly impact the production of life-saving and critical components.
• Culture of Excellence: You will help establish a culture of deep observability and operational maturity, leading the charge on incident management and blameless postmortems.

What You'll Do

• Architect & Evolve: Lead the technical strategy for migrating legacy monolithic patterns to scalable, service architectures. You will define the long-term vision for our backend systems, APIs, and cloud infrastructure.
• Operationalize AI Development: Drive the adoption and continuous improvement of AI-assisted workflows (using tools like Cursor and Claude Code). You will champion the strategic integration of AI agents to enhance autonomous task execution and leverage AI throughout the software life cycle.
• Drive Operational Maturity: Instill a strong focus on reliability and site operations across the team. You will lead initiatives to improve observability (logging, monitoring), define clear runbooks, and facilitate postmortems that turn incidents into structural improvements.
• Elevate Engineering Standards: Enforce "context-first" engineering. You will champion the creation of Architectural Decision Records (ADRs) and high-quality documentation, ensuring our codebase provides the explicit context needed for both human alignment and effective AI agent performance.
• Mentor & Lead: Act as a technical beacon, dedicating significant time (~20%) to pairing, design reviews, and mentoring engineers across different levels to elevate the team's collective skill set.
• Strategic Alignment: Collaborate with R&D leadership to prioritize technical initiatives. You will articulate the ROI of infrastructure investments and technical debt reduction in terms of customer reliability and business agility.

What You'll Bring

• 12+ years of experience in software engineering, with a strong background in architecting SaaS products at scale (start-up to scale-up transition experience preferred).
• Deep Architectural Expertise: Proven success decomposing monoliths and designing distributed systems, with strong judgment on build-vs-buy decisions and technology selection.
• Modern Stack Proficiency: Expert-level knowledge of modern web frameworks and databases, along with deep experience in AWS cloud-native patterns (containers, serverless).
• AI/LLM Fluency: Practical experience leveraging LLMs and AI agents in a production engineering workflow. You understand prompt engineering, context limits, and how to structure codebases for AI interpretability.
• Operational Rigor: A strong commitment to production reliability, with experience designing systems for observability and leading incident response processes.
• Communication Mastery: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and influence decisions without relying on authority.

Why Join Us?

• Impactful Work: Your contributions will power industries critical to our society and economy, making a real difference.
• Continuous Learning: We invest in our people and offer opportunities to learn, grow, and advance their careers.
• Supportive Culture: Our team is our greatest asset, and we foster an environment where everyone can thrive.

If you’re a forward-thinking engineer eager to make a significant impact while working with a talented, driven team, we’d love to hear from you!

Salary range:  $212,000 - $286,000

Summary:

As a Solution Architect at Paperless Parts, you will play a pivotal role in bridging the gap between our customers’ business needs and our product’s technical capabilities. You’ll partner closely with both our Sales and Professional Services teams to ensure customers receive solutions that are technically sound, scalable, and aligned with their strategic objectives.

In the pre-sales stage, you’ll work alongside Account Executives and Solutions Engineers to engage prospects in discovery, evaluate their manufacturing workflows, and scope tailored solutions. This includes identifying integration requirements (ERP, CRM), determining implementation complexity, and shaping Statements of Work and project plans that set realistic expectations.

Post-sale, you’ll be a resource to the implementation teams, providing context and guidance around our services engagements, ensuring a smooth path to go-live. You’ll act as the technical lead on large implementation projects, partnering with project managers, engineers, and customer stakeholders to deliver lasting value through platform adoption.

This role is ideal for someone who thrives at the intersection of manufacturing process expertise, technical systems knowledge, and customer-facing collaboration.

This is a full-time position based in Boston, MA and requires on-site presence, with a hybrid schedule as needed.  

Responsibilities

• Lead technical design and business process discovery sessions to identify client requirements, uncover operational challenges, align solutions with strategic business goals, and develop a scope of work.
• Develop and deliver customized solution proposals tailored to client-specific use cases.
• Create statements of work and pricing for custom services engagements.
• Provide technical guidance on software integration, deployment, hosting, and security considerations.
• Partner closely with Account Executives to drive sales opportunities and build strong customer relationships.
• Support the development of business and technical content for proposals, statements of work, and best practices ensuring alignment with customer needs.
• Provide design and deliver support for high-impact solutions by collaborating with Professional Services teams to translate customer requirements into actionable technical architectures and implementation plans.
• Collaborate cross-functionally with Product, Engineering, and Services teams to ensure successful solution delivery.
• Provide structured product and industry feedback to internal teams to influence product roadmap and ensure alignment with customer needs and market trends.
• Represent Paperless Parts at customer sites and industry events; travel up to 25% as needed.
  
  

Requirements

• Bachelor's degree in Business, Computer Science, Mechanical Engineering, or a related field.
• Minimum 3 years of experience in a Solution Architect, Sales Engineer, Consultant, or similar client-facing technical role.
• Hands-on experience designing and delivering integrated solutions using modern APIs.
• Proficiency with REST APIs, SQL, and scripting or automation using Python (preferred).
• Solid understanding of manufacturing workflows, processes, and digital transformation challenges.
• Strong ability to quickly learn and apply technical concepts in dynamic environments.
• Proven success in conducting discovery sessions and translating client needs into viable solutions.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and presentation skills; able to explain technical concepts to diverse audiences.
• Collaborative mindset with the ability to build trust and influence both clients and internal stakeholders.
• Programming experience or familiarity with tools like JavaScript, Excel scripting, or automation frameworks is a plus.
• Willingness to travel up to 25% for client meetings, training, or industry events.

Salary range: $110,000-$150,000

This role is also eligible for bonus.

The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, performance, sales or revenue-based metrics, and business or organizational needs.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

We are seeking a highly experienced hands-on Software Manager of Quality Engineering who will lead the Quality function for an Exposure Management product with a strong focus on an automation-first strategy, observability-driven quality insights, and data-backed decision making. You will step in to directly manage a dedicated team of 6 to 8 engineers, optimizing their workflow and taking ownership of team management. This is a hybrid role

Your Opportunity:

• Manage, mentor, and grow a tight-knit US-based team of 6 to 8 QA engineers and SDETs.
• Conduct regular one-on-ones and build a culture of engineering excellence.
• Hybrid office role: 3 days per week for Maryland residents, 1 to 2 days per week for DC/Northern Virginia residents.
• Operate in a 50% to 60% hands-on capacity.
• You will be deeply involved in designing, enhancing, and implementing the automation framework, as well as picking up targeted SDET tasks.
• Define and execute the long-term Quality Engineering vision, aligned with product and engineering goals.
• Own the automation roadmap across UI, API, performance, integration, and end-to-end testing, ensuring automation is embedded into CI/CD workflows.
• Implement and enhance observability practices using logs, metrics, traces, and synthetic monitoring.
• Partner with DevOps/SRE to improve error budgets and early incident detection.
• Build a monthly Quality Insights report for leadership.
• Define, track, and present data-driven quality metrics such as automation coverage, escaped defect rate, release reliability score, and performance baselines.

What You'll Need:

• 7–10+ years of experience in Quality Engineering, including 2–5 years directly leading teams.
• You must have a strong background working in product-based software companies.
• Experience managing smaller teams of 6 to 8 engineers.
• Candidates whose recent experience is primarily managing massive teams of 20 or more engineers will not be a fit, as maintaining hands-on capability is required.
• Deep expertise in test automation frameworks and cloud-based SaaS delivery.
• Experience with Playwright preferred, Selenium, or Python, we value your core knowledge of automation architecture in large environments over specific syntax.
• Strong understanding of observability tools (Datadog, Grafana) and hands-on experience with performance testing tools (JMeter, K6, etc.).
• Strong command over quality metrics, reporting, excellent communication, and stakeholder management skills.

#LI-LP1

Staff Electrical Design Engineer, EPC

The Staff Electrical Engineer is responsible for the end-to-end electrical design of industrial, offices, and lab facilities across multiple locations. The role holds full ownership of electrical deliverables — from concept through construction — across a diverse range of project types including hazardous occupancy, recycling facilities, office and labs, warehouse environments, and 34.5 kV/24.9 kV site infrastructure. The engineer is expected to operate with a high degree of independence, serving as Electrical Engineer of Record on assigned projects while coordinating across multiple disciplines to deliver code-compliant, construction-ready packages on schedule and within budget. This position requires a licensed Professional Engineer who is not only highly skilled at performing complex engineering calculations but also motivated, detail-oriented, and capable of communicating effectively at all levels — from field teams to executive stakeholders.

Responsibilities will include:

• Design and own a wide range of electrical systems — including medium voltage (up to 34.5 kV) feeds, low voltage power distribution, lighting, raceway, grounding, and communications. 
• Serve as Electrical Engineer of Record and responsible for producing permit and construction drawings. 
• Perform power system studies including short-circuit analysis, arc flash calculations, and protective device coordination using SKM or ETAP to ensure safe and code-compliant designs. 
• Perform cable ampacity calculations using AmpCalc or similar software to optimize cable size instead of using prescriptive tables from National Electrical Code (NEC). 
• Lead multi-discipline coordination with architectural, civil, structural, mechanical, fire & life safety, and other design teams to produce complete Issue for Construction (IFC) packages. 
• Review conceptual designs from manufacturing engineers and stakeholders to identify technical and financial risks. Prepare electrical specifications and conduct technical bid evaluations for designs produced by external design consultants. 
• Lead code analysis for NEC, IECC, and applicable NFPA standards across all project deliverables, and ensure designs meet all regulatory and compliance requirements. 
• Provide construction administration support including RFI responses, submittal reviews, change order management, and on-site inspections. Serve as the technical point of contact during construction and commissioning. 
• Prepare engineering cost estimates and project schedules, perform QA/QC reviews of electrical designs, and mentor junior engineers while contributing to internal design standards and best practices. 

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering from ABET accredited program. 
• Licensed Professional Engineer in Nevada or eligible for reciprocity. Must get their PE in Nevada and South Carolina within 2 months of start date. 
• Minimum 10 years of experience in heavy commercial and industrial sectors, with evidence of exceptional ability. 
• Subject matter expertise in National Electrical Code (NEC), International Energy Conservation Code (IECC),  and relevant National Fire Protection Association (NFPA) standards with demonstrated ability to lead code analysis and apply requirements across complex, multi-discipline projects. 
• Advanced proficiency in Revit MEP, AutoCAD, Navisworks, Bluebeam, and SKM or ETAP for design production, clash detection, document review, and power system studies. 
• Advanced proficiency in AmpCalc or similar for cable ampacity calculations. Ability to perform photometric studies using lighting design software such as Visual or AGI and make decisions on optimal lighting levels for projects. 
• Strong analytical and problem-solving abilities, with the capacity to independently manage multiple concurrent projects, prioritize tasks effectively, and deliver high-quality engineering documents on schedule. 
• Ability to travel to project sites for construction administration, commissioning support, and field issue resolution, with flexibility to adjust availability based on project phase demands. 
• Excellent communication skills — verbal, written, and through drawings/sketches — with the ability to collaborate across disciplines and interface confidently at an executive level. 

The opportunity:

Flexport is a platform for global trade in an industry that comprises 12% of the global GDP.  We are the first licensed freight forwarder and customs brokerage built around a modern tech stack.  We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet.

Exceptional software development is integral in allowing us to fulfill our mission of fixing the user experience in global trade. At Flexport you’ll develop products that are at the forefront of reshaping the entire logistics & supply chain industries. You’ll work alongside self-starters interested in solving real-world problems and streamlining the inefficiencies in the complex global trade industry. You’ll have the opportunity to reshape an industry by creating the new operating system for global trade.

Our engineers are top-notch software developers who love listening to the users, working as a team, and proactively taking the lead whenever necessary. The role involves learning the business of freight forwarding, modeling the work that people do to move freight, designing solutions to make it more efficient, and thinking innovatively to automate much of it. In this role, you will have an opportunity to own the design and development of key parts of our forwarding systems. You will have influence on subsystem design and help contribute to a team culture around practices that are critical to a quality product. 

About the team:

We have multiple teams in Shanghai and Shenzhen working on a suite of core products and services that enable Flexport operation to scale, including Forwarding Application, Client Application, Shipper Application, WMS, Consol Planning Tool, Document Platform (AI empowered), Email Platform, Compliance Platform, Work Assignment Engine, Exception Management, AI Copilot, Insight Builder (AI Data Analytics) and so on. 

In addition, we have a NAWS (Native AWS) team that develops infrastructure solutions for our products and services using the latest Infrastructure as Code (IaC) technology: CDKTF (Cloud Development Kit for Terraform). Our scope includes, but is not limited to, CI/CD, observability, DevX, data subsetting (TS3), IaC, template engines, and various open-source projects. Additionally, the team provides technical guidance to engineers across the organization.

We are looking for engineers who love learning, are passionate about collaborating, and desire to build solutions with a global impact.

You will:

• Build highly available, secure, distributed systems in a microservice architecture.
• Build cutting edge infrastructure solutions to help improve development experience across the company. And, work closely with other engineering teams to help them solve infrastructure related problems.
• Design, develop, test and maintain systems that represent the real-world intricacies of logistics entities, such as shipper, client, cargo, document, carrier, container, email etc.
• Collaborate with some of the best engineers in the industry to work on complex business and technical problems.
• Work closely with business partners and product managers to distill complex business problems into elegant technical solutions.
• Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
• Ensure our products maintain a high-quality bar. We believe in anticipating issues by obsessing over metrics and applying key learnings from post-mortems to all our services.
• Geek out about shipping and logistics. (We do this often.)

You should have:

Basic Qualifications

• 3+ years of experience writing software, and a strong engineering background.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Knowledge of at least one programming language such as TypeScript, Ruby, C, C++, Java, or Kotlin
• Bachelor's degree in Computer Science or related technical field, or equivalent experience

Preferred Qualifications

• A love of simple, well-tested code that is easy to extend and hard to break.
• A bias for action. When you see a problem, you solve it.
• The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
• Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
• Understanding of performance tradeoffs, load balancing and operational issues
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
• Experience with Infrastructure as Code (IaC) tools such as CDKTF, Terraform, AWS CloudFormation, or similar.
• Having basic concepts in AWS services, including IAM, EC2, ECS, S3, Lambda, Step Functions, EventBridge, and VPC, or equivalent services from other cloud providers.
• Familiarity with CI/CD pipelines, infrastructure automation, and monitoring/observability tools.
• Ability to troubleshoot and optimize distributed systems and cloud deployments.
• Non-optional: an aptitude for learning quickly.

Engineering Culture and Values:

• Check out our Key Values profile.

#LI-onsite

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

Anduril’s Discovery business line is seeking a talented Technical Program Manager to join our rapidly growing team. In this role, you will be responsible for shaping and delivering features and services critical to the next generation of air and missile defense systems. This role requires a unique blend of technical expertise, program management experience, customer focus and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 5 years of experience as a Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology, aerospace, or defense company
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Experience  developing and driving engineering plans through Jira and other industry-standard tooling
• Demonstrated ability to translate complex technical issues into business-impact insights
• Ability to work within organizations with minimal structure and with minimal direction 
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Exceptional organizational and communication skills
• Willingness to travel as needed (up to 25%, depending on location)
• Currently possesses and is able to maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building tracking solutions in Palantir Foundry 
• Professional or relevant person experience integrating AI into personal or team workflows
• Experience guiding the delivery and operation of distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experience managing Test and Evaluation or continuous Quality Assurance of complex software programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in Computer Science or an Engineering discipline

Position Overview
Woolpert is hiring a Sr. Water Resources Engineer to join our dynamic Water Team in Virginia. This position is primarily responsible for assisting with technical delivery on projects as well as the budgeting, planning, scheduling, monitoring, and reporting for specific project phase(s) and/or task(s). This position is key in establishing and improving levels of team technical competence, quality, and efficiency. This position will be part of a team engaging clients across the water markets in support of client objectives in the areas of Water Resources Design, Drainage Design, Utilities Design, Site Civil Design, Data Analytics, Organizational Performance, Process Improvement, and related studies and analyses. 

We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country where the job is located. 

What You Will Do:

• Support various phases of our water/wastewater/stormwater management projects, from communication with clients to deliverable generation.
• Perform technical aspects of specified deliverables and/or lead a team of technical staff in creating deliverables consistent with scope, schedule, and budget.
• Manage phases of projects, ensuring completion of work that meets quality assurance requirements.
• Perform field work, as needed.
• Analyze and interpret information, including field and water quality data, to present to clients in a meaningful format.
• Meet internal and/or external project deadlines.
• Comply with and implement clearly defined QA/QC measures.
• Communicate issues affecting phase/task or project schedule, budget, or quality and escalate unresolved issues to the project manager, team leader, and/or discipline leader. 
• Support the development and advancement of stormwater design projects with consideration of local regulatory requirements and design standards.
• Analyze and interpret stormwater model results for project development and capital improvement program planning.

What You Will Bring:

• Bachelor’s degree in Civil, Biosystems, or a related engineering program.
• Minimum of 8 years of relevant professional experience.
• Willingness to perform technical tasks as assigned, as well as ensure the completion of additional tasks by other team members.
• Strong communication skills, both written and oral.
• Strong organizational skills to successfully manage multiple, competing priorities.
• Ability to interface effectively with clients, team members, and other firm resources.
• Proficiency in Microsoft Office Suite.
• Ability to make sound decisions/recommendations based on the evaluation and synthesis of project information and data.
• Task and personnel management experience is preferred.
• Registered Professional Engineer in Virginia, or the ability to obtain.

About the Role

The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime’s data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company.  As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data.

This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.

You will partner closely with data engineering, analytics, product engineering, and compliance teams to:

• Support Chime in data compliance and risk reduction initiatives
• Establish data quality as a product discipline
• Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases
• Implement governance workflows upstream, where data are created
• Ensure data context and metadata are sufficient for downstream use cases, including AI applications

You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing curiosity and a practical eye for where AI creates leverage in data governance workflows. This role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.

The base salary for this role and level of experience will begin at $160,000.00 and go up to $221,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Build Data Trust Infrastructure: Design and implement trust scorecards, trust signals, and quality indicators that give data consumers real-time visibility into data reliability - and partner with producers upstream to embed quality checks at the source before issues propagate downstream.
• Drive Data Quality Strategy: Own and evolve Chime's data quality strategy end-to-end. Design and partner with engineering teams to implement data quality frameworks and monitoring systems that proactively identify, surface, and resolve data issues at scale.
• Develop and Implement Data Governance Policies: Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
• Enable the Data Catalog: Collaborate on the development, adoption, and enrichment of Chime's data catalog - improving discoverability, context richness (lineage, ownership, definitions, usage guidance), and the overall experience of working with Chime's data.
• Automate Governance Processes: Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
• Champion SOX Compliance: Play an active role in Chime's SOX compliance efforts, ensuring that data governance practices, controls, and audit trails meet regulatory requirements and are well-documented.
• Lead AI Adoption for Data Governance: Serve as a leader and advocate for AI tooling within the data governance space - identifying opportunities to apply AI to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices across engineering teams.
• Collaborate Across Teams: Work closely with data engineers, analysts, and compliance officers to align data governance initiatives with business needs and regulatory requirements.

To thrive in this role, you have

• Experience: 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks. Engineering ability to design and implement data governance and quality processes is critical to success.
• Trust & Quality Expertise: Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable for both engineers and non-technical stakeholders.
• Programming Experience: Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
• Curiosity and Relentlessness: You are genuinely curious about data, technology, and the problems that sit at the intersection of the two. You don't let ambiguity stop you - you dig in, ask the right questions, and keep pushing until you've found the right answer or built the right solution. You bring energy and persistence to hard problems and don't need external pressure to drive yourself forward.
• Composure in Complexity: Data governance at a fintech means navigating competing priorities, regulatory constraints, sprawling data ecosystems, and stakeholders with different mental models of "good." You thrive in this environment rather than shrinking from it - you can hold complexity without getting overwhelmed, break it into manageable pieces, and make steady progress without waiting for perfect conditions.
• Exceptional Communication: You are a terrific communicator in both verbal and written form. You can write a crisp one-pager that earns buy-in from a skeptical audience, run a meeting that ends with clarity instead of confusion, and translate deeply technical concepts into plain language that moves people to action. You treat communication as a core part of the job, not an afterthought.
• Product Management Mindset: You think like a product manager as much as an engineer. You ask "who is this for and what problem does it solve?" before writing a line of code. You prioritize ruthlessly, define success before you start building, and care about adoption and outcomes - not just delivery. You treat your internal stakeholders as customers and design solutions with their experience in mind.
• AI Curiosity and Advocacy: Genuine curiosity about AI and its applications in the data governance space, with an appetite for identifying and piloting new tools and workflows that improve the experience of working with Chime's data.
• Technical Proficiency: Strong knowledge of data governance tools and platforms, and experience with cloud data warehouses like Snowflake. Experience with data catalog platforms and driving adoption across engineering organizations is a strong plus.
• Bonus: Compliance Knowledge: Familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to governance practices that meet audit and compliance requirements.

#LI-Onsite #LI-GC1

About the role

Chime’s Instant Loans team builds products that give members upfront liquidity for larger, specific needs, with clear, predictable repayment that helps them build credit responsibly. As an engineer on the team, you’ll work across the stack to build and scale services that offer a few hundred to a few thousand dollars over terms from months to years, making fair credit accessible to people who are often denied by traditional banks. This role is ideal for engineers who want to move quickly, collaborate closely with product, design, data, and risk, and care deeply about expanding financial access and stability for millions of members.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
• Work on member-facing mobile app, including designing and building strong, resilient APIs that power key member experiences.
• Collaborate with cross functional teams to understand member pain points and come up with solutions
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Proactively identify opportunities for improving the reliability and scalability of our systems
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• 3+ years developing software in a production environment at scale
• Proven experience with Ruby on Rails or comparable frameworks
• Comfort working across the stack and an eagerness to learn new technologies
• Experience designing APIs, working with transactional databases and caching systems
• A product mindset with a strong bias toward experimentation, iteration, and measuring impact
• Exposure to large-scale architecture patterns and an appreciation for clean, maintainable code
• A collaborative spirit and strong communication skills, with experience working cross-functionally
• Experience working in a fast-paced, product-focused environment (Fintech experience is a plus)

#LI-Hybrid #LI-SB1

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

About the Role

The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems.

This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

What You'll Do

• Build the AI Platform Foundation: Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease.
• Standardize the AI Developer Path: Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale.
• Engineer AI Trust & Safety Systems: Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, and deterministic performance expected by our enterprise partners.
• Drive technical strategy: Partner with principal engineers to define the technical roadmap for Smartsheet’s AI infrastructure, making architectural decisions that will shape how we build with AI for years to come.

What We're Looking For

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus

Strong Plus

• Prior work in an Applied AI or LLMOps platform within a product company
• Experience with the following:
• Kubernetes (EKS/GKE): The industry standard for AI. Skills include managing GPU scheduling, auto-scaling based on token throughput, and using tools like Karpenter for cost-efficient node provisioning.

• Infrastructure as Code (IaC): Using Terraform, Pulumi, or AWS CDK to provision Vector Databases, SQS queues, and S3 buckets.

• Vector Databases: Proficiency in managing and optimizing Pinecone, Milvus, Weaviate, or Databricks Vector Search.
• AI Gateways: Building or configuring proxies (like LiteLLM or Kong AI Gateway) to handle rate-limiting, PII masking, and cost-tracking.

• LLM Observability: Setting up tracing tools like Langfuse, LangSmith, or MLflow to monitor "Time to First Token" (TTFT) and trace hallucination issues.
• Model-Based Evals: Implementing automated scoring systems (like RAGAS or DeepEval) that use an "LLM-as-a-Judge" to grade production outputs.

Smartsheet is building the next generation of AI-powered work management through SmartAssist, our intelligent agent platform. As we scale from early demos to production-grade agents, quality is the critical frontier and we are looking for a Agent Quality Engineer to own it.

This is not a QA role. It's a deeply technical, high-autonomy position at the intersection of LLM evaluation, prompt and context engineering, and retrieval-augmented generation. You will diagnose why our agents fail, design the systems that catch regressions, and drive measurable improvements across our orchestrator and subagent fleet.

You will work closely with our Agent Engineering and AI Platform teams, embedded in a team that has already shipped evaluation infrastructure on Databricks/MLflow and is building toward a mature Agent Development Lifecycle (ADLC).

You Will:

• Own agent quality end-to-end: diagnosis, improvement, and validation across SmartAssist's orchestrator and subagents
• Identify failure modes across quality dimensions factual accuracy, completeness, tone, actionability, and latency and prioritize what to fix
• Drive quality improvements through prompt engineering, context engineering, and RAG retrieval tuning
• Extend and mature our evaluation framework: scorers, golden datasets, regression gates, and online evaluation for production traffic
• Close the feedback loop ensure that every change has a measurable, attributable quality signal
• Collaborate with our Agent Architecture lead to distinguish quality problems that require prompt/context solutions from those that require structural fixes
• Establish repeatable methodology that scales beyond any single agent or subagent

You Have:

Required

• 8+ years of software engineering experience, with at least 2 years working directly with LLMs in production
• Deep, hands-on experience with prompt engineering and context engineering, you understand how model behavior changes with framing, structure, and input design
• Strong working knowledge of RAG architectures: chunking strategies, embedding models, retrieval evaluation, and failure diagnosis
• Experience building or extending LLM evaluation frameworks, you have designed scorers, worked with golden datasets, and thought carefully about what good looks like
• Fluency in agent system design, you don't need to own the architecture, but you can engage as a peer on architectural tradeoffs that affect quality
• Strong Python skills; comfortable working in data-heavy environments (Databricks, Delta tables, or equivalent)
• Ability to communicate complex quality findings (written and verbal) to both technical and non-technical stakeholders, you can explain what’s broke, why it matters, and what needs to happen next without losing the room
• Strong cross-functional judgment, you know when to escalate, when to resolve independently, and how to build credibility across engineering, product, and AI platform teams
• A bias for clarity in ambiguous situations, when failure modes are murky and trade-offs are real, you bring structure and a clear point of view rather than waiting for consensus
• Legally eligible to work in the U.S. on an ongoing basis
• BS or MS in Computer Science, a related field, or equivalent industry experience

Strong Plus

• Experience with MLflow or similar experiment tracking platforms
• Familiarity with CI-integrated evaluation pipelines
• Experience with multi-agent orchestration frameworks
• Prior work in an Applied AI or LLMOps function within a product company

What Success Looks Like:

In your first 6 months, you will have:

• Delivered measurable, validated quality improvement on at least one SmartAssist agent across our defined quality dimensions
• Expanded evaluation coverage to close the most significant blind spots in our current framework
• Established a repeatable quality improvement methodology the broader team can apply

Why This Role:

• You will have real ownership, not a supporting role on someone else's roadmap
• SmartAssist is shipping to real users; this work has immediate, visible impact
• You will be part of a fast-moving team that deeply values engineering rigor and actively seeks diverse perspectives

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The Role:

We are looking for a Staff Product Manager for the Merchant Experience Platform within our Omnichannel Fulfillment division. As the PM for this critical platform, you will define and deliver a world-class, seamless merchant experience across the entire journey, from self-serve onboarding and platform configurations to transparent billing and effortless payments. Your mission is to build a fast, intuitive, and reliable platform that serves as the single source of truth for our merchants and powers their success across our logistics ecosystem.

Key Responsibilities:

• Platform Vision & Strategy: Define the multi-year roadmap for the Merchant Experience Platform, encompassing onboarding, integrations, configuration, billing, and payments.
• End-to-End Merchant Journey: Own the experience flow from a merchant's first interaction, through system configuration and data setup, to their ongoing financial transactions and reporting.
• Merchant System Integration Strategy: Drive the strategy for seamlessly integrating with external merchant technologies, including ERP systems (like NetSuite) and e-commerce platforms, ensuring robust data exchange and workflow integrity.
• Billing & Payments Automation: Drive the strategy and execution for automated payment solutions, revenue recognition, and reliable financial reporting.
• Cross-Functional Leadership: Partner with Engineering, Finance, Operations, and Sales to ensure a friction-less merchant journey and accurate financial outcomes.
• Product Leadership & Mentorship: Act as a subject matter expert who coaches and mentors Senior and IC PMs on complex systems thinking, financial modeling, and platform architecture design.

Minimum Qualifications:

• Experience: 8+ years in Product Management, preferably within Logistics Tech, SaaS Integrations, Fintech.
• Technical Proficiency: Deep understanding of APIs, ERP integrations, and financial reconciliation workflows.
• Systems Thinking: You can map out how a physical action in a warehouse triggers reconciliation with a merchant system or triggers a financial event for billing.
• Analytical Rigor: Proven ability to conduct deep quantitative analysis, create complex data models, and use data to diagnose root causes and quantify business impact.
• Problem-Solving Grit: Logistics is messy. You need the ability to find elegant, automated solutions for edge cases and "broken" data.
• Communication: The ability to explain complex financial logic to a software engineer and high-level business impact to a CFO.
• Demonstrated ability to drive results in complex, regulated industries (Logistics, Fintech, Healthcare, etc.).
• Experience owning a product roadmap and delivering measurable business impact (e.g., revenue growth, efficiency gains).

Why This Challenge Matters:

The Merchant Experience Platform is the gateway to Flexport's logistics ecosystem. By owning the entire journey—from an effortless onboarding and configuration process to reliable, transparent billing and payments—you are directly impacting Flexport’s bottom line, driving merchant adoption, and removing the friction that holds global trade back.

Bonus Points if you have:

• Experience with NetSuite, Stripe, or high-volume transactional billing systems.

Why Flexport:

At Flexport, we’re building the future of global trade. Our product team is at the heart of this transformation, driving solutions that have a direct impact on our customers and the logistics industry. We foster a culture of innovation, inclusivity, and continuous learning, giving you the opportunity to work on meaningful, impactful projects while supporting your professional growth.

What's in it for you?

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a thriving multinational environment
• Competitive salary and equity options
• Daily catered lunches, breakfast, snacks and soft drinks available in our office on daily basis
• Comprehensive health and wellness benefits.
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Collaborative, inclusive, and diverse work culture.

Flexport is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, or veteran status.

#LI-hybrid

Staff Software Engineer: Applied AI

Every day, thousands of shipments cross borders, change hands, and hit unexpected problems. For decades, fixing those problems meant phone calls, emails, and humans heroically firefighting. We think that's about to change completely.

We've been building AI agents that spot trouble before it happens, reroute shipments, and keep goods moving—with our team of experts in the loop where it counts. The early results have been jaw-dropping. We're now going all in on a future where supply chains run themselves, and we're looking for the people who want to build that future with us.

This isn't a role where you join a team and pick up tickets. You'll find the highest-leverage problems, design the solutions, and ship them to operators moving freight across 112 countries. If that sounds like your idea of a good time, read on.

What You'll Do

You'll build the cutting-edge agents and AI-powered applications that make Flexport's operations smarter, faster, and increasingly autonomous. That means:

• Designing and shipping end-to-end AI agents that handle real logistics work—customs compliance, document processing, exception management, and more
• Crossing organizational boundaries to understand problems deeply, align stakeholders, and get things done without waiting for permission
• Moving fast from idea to production, treating every deployment as a learning opportunity
• Working directly with operators, domain experts, and leadership to turn ambiguous problems into shipped solutions

You Should Have

• 10+ years of software engineering experience; you've built with LLMs extensively—whether in production, side projects, or just because you couldn't stop yourself
• Strong product instincts: you can identify what's worth building, not just execute on a spec
• LLM fluency: agent patterns, RAG, prompt engineering, tool use, evaluation. You know what works in production and what looks good in demos
• Full-stack capability in TypeScript and Next.js—you can own a feature end to end
• An entrepreneurial drive: you thrive in ambiguity, move fast, and don't wait to be told what to do
• Excellent communication: you can work across teams and disciplines to get alignment and unblock yourself
• An audacious appetite for impact: you're not here to maintain—you're here to change how global trade works

Nice to Have

• Experience with workflow orchestration (Temporal, etc.)
• Experience building internal tools or operator-facing applications

How We Work

• We come to the office 3 times a week to hang out, whiteboard, and ship together
• We have the latest hardware and software—including frontier AI models on day one
• We're agile, but not dogmatic. Teams decide how they work best
• Stack: Next.js, TypeScript, Postgres, Snowflake. For AI: Anthropic, OpenAI, Google AI APIs

Why This Role Is Special

• Your work is visible: This is a small, senior team reporting directly to the VP of Engineering. What you build gets noticed, and your ideas shape the direction
• Real stakes: thousands of containers, 112 countries, $19 billion of goods. Your agents will have immediate, measurable impact
• Full ownership: from problem definition to production deployment, it's yours
• You're early: the playbook for applied AI in enterprise logistics doesn't exist yet—you'll help write it

What's in it for you: 

• An opportunity to contribute to one of the fastest-growing companies, where you’ll have the chance to create a global impact while being a part of a  thriving multinational environment 
• Daily catered lunches incl. vegetarian options, breakfast, snacks and soft drinks available in our office on daily basis 
• Commute expenses: Flexport will cover  home-office commuting costs for employees living outside of Amsterdam
• 25 working days as vacation days based on full time employment.
• Health insurance: Flexport offers a collective health insurance plan including a basic package and any available additional packages. Your monthly premium is fully paid by Flexport. 
• A defined pension contribution scheme
• Equity program: every team member becomes a shareholder, aligning our success with yours. As a private company in a multi-trillion dollar industry, you have a direct stake in our collective growth and success.
• Employee Assistance Program through Aetna Resources for Living: Flexport provides an employer-sponsored program at no cost to you and your household members
• Parental leave benefit: Flexport is here to support you and your families in one of the most important times in life – the birth of a child! Our parental leave program allows both mothers and partners to take time off from work for pregnancy, childbirth, and to bond with your new child.

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

The Role

The Senior SDET - Browser & Extension Testing will own test strategy, quality architecture, and the automated regression infrastructure for Securly's onboard filtering project — building the test systems that ensure a safety-critical Chrome extension works correctly for millions of students and keeps working through every browser update and policy change.

The onboard filtering project is a high-risk architecture change to a widely-deployed extension. A regression in allow/block decision logic, cache invalidation, or bypass prevention could expose students to inappropriate content or disrupt school operations. The test infrastructure you build is the last line of defense before production.

At L5, this is an engineering leadership role, not a QA role. You will define what 'production-ready' means for a safety-critical student product, enforce that standard through CI/CD quality gates, and contribute to extension development directly.

What You'll Do

• Define what 'passing' means for the onboard filtering project: establish written quality criteria covering correctness, security, and performance that gate production releases.
• Design and implement automated test suites covering block/allow decisions, iframe handling, cache invalidation, TTL expiry, fallback behavior, and filtering decision engine edge cases.
• Build CI/CD quality gates that prevent regressions from reaching production; own the pipeline configuration and ensure the quality bar is enforced, not advisory.
• Model bypass threats systematically: document how students exploit timing windows, iframes, DOM manipulation, redirect chains, and DNS TTL behavior — then build automated tests that catch those bypasses.
• Measure and establish written performance baselines: page load latency impact, service worker memory usage, cache sync overhead across realistic Chromebook hardware profiles.
• Contribute to Chrome extension development work in TypeScript/JavaScript alongside test responsibilities.
• Serve as the team's expert on bypass threat modeling: your analysis of how students circumvent filtering is an input to the implementation team's architecture decisions.
• Mentor engineers on test architecture as a first-class discipline.

Skills & Requirements

Who You Are

• You think like an attacker when writing tests — you do not test the happy path and call it done. You document attack vectors so the implementation team designs against them.
• You have shipped production Chrome extensions and built the test infrastructure around them. You know both sides of the work.
• You treat test architecture as a first-class engineering discipline. A feature without a regression suite is not finished.
• You define what 'quality' means on a safety-critical product and produce written criteria that hold the codebase to that standard.
• You contribute to development, not just testing — this is an L5 engineering role, and your TypeScript ships alongside your test suites.
• Your bypass threat model documents are used by the implementation team to make better architecture decisions.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

Location: Houston, TX or Reston, VA preferred / Remote considered / Hybrid office schedule and travel up to 50%.

Overview

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Location: Houston preferred / Remote considered / Hybrid office schedule and travel up to 50%.

Overview

• Support the end-to-end engineering execution of BESS projects for data centers, from development to commissioning.Manage the technical scope of projects and serve as the technical point of contract to the project manager.
• Coordinate with internal engineering, procurement, and construction teams to ensure project milestones are met.
• Collaborate with customers, EPC contractors, OEMs, and design consultants on integration of BESS with data center electrical infrastructure.
• Review and validate system designs (electrical, civil, mechanical) and vendor submittals to ensure technical compliance and quality.
• Design and develop Single line diagrams, Schematics, Wiring diagrams for Battery storage systems
• Prepare Electrical Equipment Specifications, Data Sheets, Purchase Requisitions and Bid evaluations for inverters, Switchgear, Transformers and other electrical equipment as required
• Develop Short circuit, load flow, and arc flash studies using software such as ETAP.
• Assist in developing project schedules, procurement plans, and technical documentation.
• Conduct site walks and support field activities during installation and commissioning.
• Participate in Factory and Site Acceptance Testing (FAT/SAT) of BESS components and systems.
• Identify technical risks and propose mitigation strategies in coordination with Project Management.
• Ensure all work is compliant with relevant codes (e.g., NEC, IEEE, NFPA) and On Energy Storage’s internal standards.

• Experience working on EPC or design-build projects in the energy or critical infrastructure sector in North America.
• Familiarity with commissioning protocols and QA/QC procedures for electrical systems.
• PE or EIT certification is a plus.

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world.

What we're looking for:

Join Nexamp's mission to transform the energy landscape with your expertise as a Senior Interconnection Engineer. We are at the forefront of the renewable energy revolution, driving change and innovation in the renewable energy sector. If you're passionate about crafting a sustainable future and have a track record in the technical intricacies of interconnection, we want you on our team.  

We are seeking a detail-oriented Senior Interconnection Engineer with a robust technical background and proven experience in PV system design and interconnection. This role is vital for providing specialized support to project managers and ensuring that our projects are not only technically sound but also optimized for cost and efficiency. 

You will report to the Manager, Grid Integration Engineering (GRIT), and will work closely with internal teams, including Engineering, Business Development, Policy, and Asset Management, to develop and commission commercial and industrial renewable designs. You will be hybrid out of our New York City, Chicago, Boston, or Washington, DC office with some business travel to other locations.

What you'll do:

• Manage a portfolio of utility interconnection applications from initial submission through project closeout. 
• Function as a Subject Matter Expert (SME) on technical standards (i.e. IEEE 1547, NFPA 70, UL 1741, etc.) and requirements (utility) for Distributed Generation projects within an assigned geographic region.  
• Perform detailed review, analysis, QA/QC, and interpretation of technical documentation, utility interconnection applications, utility pre-screen reports, System Impact Studies, and Interconnection Service Agreements. 
• Provide expert technical advice during study reviews and deliver recommendations to internal teams on study outcomes. 
• Prepare interconnection cost estimation and hosting capacity map analyses to assist development in identifying low-cost interconnection locations. 
• Work alongside Project Managers on value engineering and cost optimization for projects. 
• Act as technical consulting support during negotiations and disputes regarding project timelines and costs for assigned projects. 
• Participate in the technical closure of projects, including field support along with reviewing witness tests and energization procedures. May also attend site visits and witness tests as required. The number of projects actively supported at a given time should be 70-80.  
• Lead and contribute to special projects aimed at refining internal processes and setting industry standards, with a focus on innovation in interconnection means and methods.  This may include (but not limited to) non-wires alternatives, selective curtailment, and other grid-enhancing technologies. 
• Building and managing key relationships with internal stakeholders, and driving strategic developments and insights  
• Leading comprehensive technical assessments to identify interconnection challenges in a given region and creating solutions to overcome technical hurdles (to improve project success). 
• Support technical working groups both internally and externally. 
• Participate in project design reviews; review of single line diagrams, three-line diagrams, and site layout designs for compliance with utility requirements, which may include incorporating any utility design requirements and/or effective grounding equipment. 
• Respond to RFIs on active construction projects as required. 
• Provide guidance and recommendations for navigating change with utilities. 
• Mentor Interconnection Engineers, sharing expertise and leading by example in all aspects of interconnection processes. 
• Support business development through pre-application activities such as site selection based on thorough analysis.
• Additional duties as assigned and/or directed. 

What you'll bring:

• 3+ years of relevant experience with a utility, solar developer, Regional Transmission Organization, or consultancy, focusing on technical aspects of interconnection or interconnection-related activities and issues. 
• Strong knowledge of industry standard design codes such as National Electric Code, International Building Code, International Fire Code and other standards relevant to the industry. 
• Bachelor’s Degree in Mechanical or Electrical Engineering. 
• Working knowledge in AutoCAD software.
• Moderate proficiency with Microsoft Word, Excel, and PowerPoint.
• Moderate proficiency with Microsoft collaboration tools (Salesforce, Teams, Power BI, SharePoint, etc.) 
• Ability to coordinate and prioritize multiple projects and tasks. 
• Ability to work in a team environment as well as work independently. 
• Valid Drivers License and EIT Certification.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.  
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.  

If you don’t meet 100% of the above qualifications, but see yourself contributing, please submit an application.  We encourage people from minority or marginalized groups to apply. 

At Nexamp, our mission is building the future of energy, so it is clean, simple, and accessible for all. We believe a diverse team brings different perspectives and experiences, thus benefiting our work. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change. 

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days, and other volunteer opportunities, company outings, and more!

Compensation:  

The reasonably estimated salary for this role at Nexamp ranges from $120,000 - $135,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location.

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes.