​This is a full-time, remote Application Support Engineer role at Cresta, a fast-growing digital health SaaS company using AI to revolutionize contact centers. The engineer will serve as a crucial technical link between customers and product development, specializing in diagnosing and resolving intricate technical issues related to API integrations, databases, microservices, and specialized telephony protocols. This role requires participating in a rotational on-call schedule and adherence to a Sunday–Thursday work week.

• ​Location: Remote, United States.
• ​Salary Range: $90,000–$160,000K base + Bonus + Equity.
• ​Schedule: Sunday – Thursday, 8 am–5 pm ET, plus a rotational on-call schedule.
• ​Experience: 4+ years of experience in a technical support, helpdesk, or customer-facing engineering role.
• ​Focus: Advanced technical troubleshooting, API and database analysis, VoIP/telephony protocol support (SIP/RTP), and collaborating closely with Engineering to drive resolution.

​What You'll Do: Advanced Resolution and Advocacy

​The engineer ensures high customer satisfaction by providing expert technical solutions and clear communication.

• ​Technical Issue Resolution: Investigate, diagnose, and resolve intricate technical issues related to:
  • ​API integrations, databases, servers, and microservice performance.
  • ​Telephony signaling protocols for VOIP (SIP/SIPrec, H.323) and media control protocols (RTP).
  • ​Web hosting and network technologies.
• ​Collaboration & Escalation: Partner closely with Engineering, Product, and Sales teams to escalate bugs, feature requests, and critical incidents, and replicate customer environments to identify root causes.
• ​Customer Advocacy: Serve as the primary technical point of contact, providing clear, concise, and empathetic communication.
• ​Knowledge Management: Create and maintain comprehensive documentation, FAQs, and knowledge base articles.
• ​Process Improvement: Identify recurring issues and contribute to process enhancements that improve the customer support experience.

​Required Technical Skills and Experience

​The role requires mandatory experience in complex systems, networking, and specialized communication protocols.

• ​Experience: 4+ years in a customer-facing support or engineering role.
• ​Core Technical Proficiency (Required):
  • ​Telephony signaling protocols for VOIP (SIP/SIPrec, H.323) and media control protocols (RTP).
  • ​APIs (automation, collaboration, and data extraction/changes through HTTP methods).
  • ​Application log analysis.
  • ​Network architecture and components.
  • ​Server OS and hardware troubleshooting.
• ​Tools: Experience with support ticketing systems (e.g., Zendesk, Linear, JIRA).
• ​Bonus Skills:
  • ​Experience managing or integrating CCaaS platforms (e.g., Avaya, Five9, Genesys).
  • ​Experience with cloud-based hyperscaler solutions (e.g., AWS S3/RDS/EKS) and Kubernetes.
  • ​Basic scripting skills (e.g., Python, PowerShell, Bash).
  • ​Experience with logging and monitoring tools (e.g., Datadog, Grafana).

​This is a full-time, Fully Remote Technical Support Engineer role at HiddenLayer, a company specializing in protecting systems from adversarial AI attacks (AISec). This role is the first line of contact for customers, requiring a self-starter with strong composure and technical expertise to troubleshoot, investigate, and resolve issues related to the AISec Platform. The engineer will be crucial in scaling support processes and acting as a technical liaison between customers and Research/Engineering teams.

• ​Location: Fully Remote (Specific availability requirement: Hawaii time zone/location).
• ​Experience: 3+ years of experience in a Support Engineering role working with global enterprise customers.
• ​Focus: Troubleshooting, investigating, and resolving product issues; validating detection efficacy; contributing to knowledge bases; and improving support scalability and tools.
• ​Compensation/Benefits: Venture-backed company with a $50M funding round, fully subsidized health options, unlimited flexible time off, and an L&D fund.

​What You'll Do: AI Security Support and Cross-Functional Feedback

​The engineer provides high-quality, responsive support while driving continuous improvement and product feedback.

• ​Technical Support: Provide responsive, high-quality technical support to customers throughout their lifecycle, resolving a high volume of technical issues with increasing autonomy.
• ​Troubleshooting & Escalation: Troubleshoot, investigate, and resolve product issues, escalating with clear context to Engineering (for bug fixes/edge cases) and Research (to validate detection efficacy and communicate model performance findings).
• ​Customer Advocacy: Partner with the Product team to provide customer-driven feedback on new features, usability, and roadmap priorities.
• ​Process & Knowledge: Continuously improve support workflows, tools, and documentation. Contribute to internal and external knowledge bases, and help maintain a customer-first culture.
• ​Onboarding: Collaborate with the AI Architect and Account Director during onboarding to ensure a smooth setup experience for customers.

​Required and Preferred Qualifications

​The ideal candidate blends customer-facing skills with strong foundational knowledge in modern development and data infrastructure.

• ​Experience: 3+ years in a Support Engineering role, working with global enterprise customers.
• ​Development Tools: Familiarity with developer and infrastructure tools such as GitHub, Docker, and Kubernetes.
• ​Scripting: Demonstrated proficiency in Python (e.g., debugging, scripting, or building internal tools).
• ​Support Platforms: Proficiency with support platforms like Zendesk and Jira.
• ​Preferred Background: Background in Cybersecurity, MLOps, or Data Science is preferred.
• ​Preferred Technical Skills: Understanding of GenAI security and experience with cloud platforms such as Azure, AWS, or GCP is a plus.
• ​Soft Skills: Grace under pressure, proactive decision-maker, and excellent communicator with a proven ability to de-escalate challenging situations.

​This is a full-time, fully remote Digital Support Engineer role within the Materials and Structural Analysis Division (MSD) of Thermo Fisher Scientific. The engineer is responsible for managing the IT and infrastructure aspects of digital solutions and services, ensuring smooth deployment and reliable remote support. This involves acting as an IT consultant during pre-installation, performing automated deployments, and providing advanced technical troubleshooting for complex system and infrastructure problems.

• ​Location: Fully Remote (Idaho, USA).
• ​Travel: Open to travel up to 25% of the time (mainly regional).
• ​Experience: 5+ years of relevant knowledge or experience in key technologies (Linux, Automation, Virtualization).
• ​Focus: IT application management, infrastructure integration design (firewalls, VLANs), automated deployment (Ansible), and deep troubleshooting for complex systems to enable remote diagnostics.

​Specific Work and Responsibilities

​The engineer ensures the seamless integration and reliable operation of digital solutions within customer environments.

• ​Pre-Installation Consulting: Engage with local support teams as a consultant to design the integration of the solution with the local infrastructure and answer all IT-related questions.
• ​Deployment and Remote Setup: Ensure systems are set up for remote diagnostics and health monitoring. Perform automated deployments through the use of configuration management technology.
• ​Advanced Troubleshooting: Conduct detailed troubleshooting and analysis of system, software, and infrastructure problems that affect reliability and performance.
• ​Support: Provide support to the installations within the SLA as agreed, utilizing established processes.
• ​Collaboration: Support factory and development teams with first deployments. Provide recommendations to manuals, training, and customer-facing material.

​Requirements and Technical Expertise

​The role demands a strong foundation in network technologies, virtualization, and modern automation tools.

• ​Education: Bachelor’s or Master’s degree in ICT Computer Science or a technical/SW field is typically required.
• ​IT Experience: Experience in IT application management, data storage, and (remote) software installations, support, and troubleshooting.
• ​Networking Fundamentals: Fundamental understanding and hands-on experience with network technologies including firewalls, content filters, routing/switching, and VLANs.
• ​Virtualization & Automation (5+ years required knowledge): Knowledge or experience with:
  • ​Virtualization technologies like VMware/KVM infrastructure.
  • ​Linux, Monitoring tools, Automation and Scripting.
  • ​Kubernetes, Ansible, and Docker.
• ​Soft Skills: Proven customer-facing skills, strong problem-solving skills, and a motivated team player.

​This is a senior, full-time Technical Support Engineer role at Navina, a fast-growing digital health SaaS company that utilizes AI to create "patient portraits" and clinical insights for physicians. The engineer is a key contributor to customer satisfaction, responsible for resolving daily customer issues and serving as the first line of defense for R&D. The role requires proven experience in technical support, strong troubleshooting abilities, and mandatory skills in SQL and web application debugging.

• ​Location: Remote (U.S. East Coast time zone or available to work East Coast hours).
• ​Experience: 4+ years of experience in a customer-facing Tech Support, Integration, or Services role at a SaaS company.
• ​Focus: Resolving daily customer issues within SLA, using SQL and web application debugging for troubleshooting, and collaborating closely with R&D, Product, and Medical teams for complex escalations.

​Responsibilities: Resolution, Collaboration, and Improvement

​The engineer maintains high customer satisfaction while proactively improving the support ecosystem.

• ​Customer Resolution: Resolve customer issues daily, ensuring timely responses (SLA) and maintaining high levels of customer satisfaction.
• ​Cross-Functional Work: Work closely with R&D, Product, Customer Success, and the Medical team for complex problem-solving and time-sensitive escalations.
• ​Knowledge Contribution: Build and contribute to Navina’s technical support knowledge base.
• ​Process Improvement: Contribute to methodologies, best practices, and techniques to improve the support process.

​Required and Advantageous Qualifications

​The role requires mandatory data and web application debugging experience, with healthcare and programming skills being a strong advantage.

• ​Mandatory Technical Skills:
  • ​Proven experience with SQL and data analysis — MUST.
  • ​Proven experience with debugging web applications.
• ​Experience: 4+ years in a customer-facing Tech Support/Services role at a SaaS company.
• ​Soft Skills: Strong project management skills, excellent problem-solving and troubleshooting skills, and proven excellent customer-facing communication (verbal and written).
• ​Advantageous Skills:
  • ​Familiarity with the US healthcare industry.
  • ​Proven experience in programming (JavaScript, Python, Node.js).
  • ​Experience with troubleshooting data pipelines and ETL processes.

​This is an early-career, full-time Associate Engineer, Product Support role within the Data & Analytics team at Trinity Life Sciences. This position is focused on supporting system reliability, production release management, and enhancing monitoring capabilities in a fast-paced environment. The role is ideal for a candidate with foundational knowledge in SQL, scripting, and cloud platforms who is eager to learn and participate in on-call rotations.

• ​Location: Remote, US (Remote, MA listed for context).
• ​Salary Range: $70,000.00 - $85,000.00 Salary.
• ​Experience: 1–2 years of experience in production support, technical operations, or DevOps.
• ​Focus: Production monitoring, incident response, assisting with release execution, basic SQL queries, and contributing to automation using DevOps tools.

​Key Responsibilities: Monitoring, Releases, and On-Call

​The Associate Engineer contributes to operational stability and collaborates with various technical teams.

• ​Production Monitoring & Incident Response: Monitor production systems to ensure uptime, respond to alerts, and troubleshoot issues under guidance from senior team members. Document all incidents and resolutions.
• ​Production Release Management: Assist in coordinating and executing production releases. Validate deployments and ensure proper rollback procedures are in place.
• ​Automation & DevOps Support: Assist in automating routine support tasks and deployment processes. Learn and apply DevOps tools and practices (e.g., Git, Jenkins, Docker) and support CI/CD pipeline maintenance.
• ​SQL & Data Operations: Write and optimize basic SQL queries for data validation and troubleshooting. Support database maintenance and performance tuning under supervision.
• ​On-Call Support: Participate in on-call rotation to provide after-hours support for critical issues and ensure timely escalation.

​Required Qualifications and Technical Skills

​The role requires a technical degree and basic proficiency in key operational and data technologies.

• ​Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
• ​Technical Proficiency: Basic proficiency in SQL and scripting (e.g., Python, PowerShell).
• ​Cloud Exposure: Exposure to cloud platforms (preferably Azure) and ETL workflows.
• ​DevOps: Familiarity with DevOps tools and concepts is a plus.
• ​Soft Skills: Strong problem-solving skills, excellent communication and teamwork abilities, and an eagerness to learn.

​This is a full-time, remote Technical Support Engineer (L2) role at Adapty, a rapidly growing, AI-first mobile SaaS company specializing in managing in-app purchases and paywalls. This position focuses on handling 2nd line technical inquiries and solving complex production issues with a proactive, hands-on approach. A key requirement is covering the evening shift and utilizing strong technical investigation skills using specialized tools.

• ​Location: Fully Remote (Works as an individual contractor).
• ​Experience: At least 1 year’s experience in 2nd line technical support, preferably in B2B.
• ​Shift Requirement: Evening shift (22:00–07:00 CET).
• ​Focus: Troubleshooting production issues, analyzing logs (Kibana, SQL, Postman), preparing escalation reports for developers, and improving product documentation.

​What You Will Do: Investigation and Resolution

​The engineer is responsible for keeping the platform running reliably and ensuring high customer satisfaction during the evening shift.

• ​Technical Support: Handle 2nd line technical inquiries and meet SLAs during the dedicated evening shift (22:00–07:00 CET).
• ​Troubleshooting: Review logs in Kibana and troubleshoot issues using SQL and Postman.
• ​Escalation Management: Conduct initial technical investigations and prepare comprehensive escalation reports for developers. Follow up on escalated issues to ensure resolution.
• ​Documentation: Update and improve the product documentation based on real user feedback.
• ​Customer Relations: Build trusted customer relationships through clear, regular communication, maintaining a proactive approach until issues are solved.

​Required Technical Skills and Experience

​The role requires confidence in specific debugging tools and a customer-focused mindset.

• ​Experience: At least 1 year’s experience in 2nd line technical support, preferably in B2B.
• ​Technical Proficiency: Confident using Kibana, SQL, and Postman to analyze logs and data.
• ​Communication: Fluent English is required for clear, supportive communication.
• ​Mindset: Proactive, patient, and genuinely enjoys helping people, with a focus on stable schedules and making a direct impact.

​This is a full-time, Fully Remote Automation Support Engineer role based in Cambridge, UK, serving as the primary technical point of contact for customer robotics systems. The role involves hands-on troubleshooting, case management for both software and hardware issues, and building strong customer relationships for laboratory automation platforms that contribute to life science discoveries. The engineer will work remotely, in the office, and at customer sites, requiring significant domestic travel.

• ​Location: Fully Remote (Cambridge, UK or surrounding areas).
• ​Travel: Required domestic travel of around 30% (international travel is possible but unlikely).
• ​Experience: ASE I requires 2+ years; ASE II requires 4+ years experience in lab automation, robotics, or software.
• ​Focus: Primary case management for complex lab automation robotics and software, debugging code, troubleshooting networking, and configuring databases.

​What You Will Be Doing: Technical Support and Automation Deployment

​The engineer will manage a dedicated customer base, ensuring platform reliability through troubleshooting, coding, and deployment support.

• ​Customer Relationship Management: Build strong customer relationships through proactive communication and manage a customer base of up to 30 accounts on the West Coast (as listed in the source).
• ​Case Management & Collaboration: Serve as the primary point of contact for customer systems, managing cases and meeting targets for response time and quality. Collaborate extensively with Field Service Engineers for troubleshooting and hardware/device issues, and with cross-functional teams to drive resolutions.
• ​Technical Troubleshooting: Debug and deploy code for integrating laboratory automation devices. Troubleshoot networking issues with TCP/IP and serial communications. Configure relational databases for laboratory scheduling software.
• ​Deployment & Training: Deploy laboratory automation solutions, working with various teams to troubleshoot field issues. Interface with and train customers remotely or onsite.
• ​Continuous Improvement: Contribute to documentation and continuous improvement of support processes.

​Qualifications and Technical Skills

​The position requires a foundational technical degree, experience with object-oriented programming, and a strong problem-solving mindset.

• ​Required Education: Bachelor's degree in a technical field (Computer Science, Robotic Engineering, or related fields).
• ​Required Experience: 2+ years (ASE I) or 4+ years (ASE II) experience in lab automation, robotics, or software experience.
• ​Programming Proficiency: Basic proficiency in C#, Python, or other Object-Oriented Languages. Ability and interest in software troubleshooting.
• ​Soft Skills: Exceptional written and oral communication skills, professional demeanor, adaptability, and a passion for driving customer success.
• ​Preferred Skills: Understanding of or experience with robotic arms and laboratory automation software. Familiarity with networking (TCP/IP) and Serial Communications. Experience with system deployment engineering or bio/pharmaceutical labs.

​This is a senior, fully remote API Support Engineer (Tier 3) role focused on troubleshooting and resolving complex API, integration, and data flow issues across enterprise applications within a large federal and DoD-aligned mission environment. This role serves as the highest escalation point, requiring in-depth diagnostic support for API consumers, backend systems, and integration middleware, ensuring resilience and service restoration.

• ​Location: Fully Remote (US).
• ​Clearance: Must hold an active Top Secret clearance (supported by a Tier 5 background investigation).
• ​Experience: Minimum 6 years in API support, backend troubleshooting, or application technical support.
• ​Certifications (Required): ITIL v4 Foundation and CompTIA Security+.
• ​Focus: Resolving Tier 3 escalations, data mapping, authentication issues (OAuth2, SAML, JWT), root cause analysis, and validating API behavior against OpenAPI/Swagger specifications.

​Duties & Responsibilities: Escalation, Diagnosis, and Validation

​The engineer provides expert-level diagnosis and acts as a key liaison between support and development teams.

• ​Complex Resolution: Resolve complex API issues escalated from Tier 1 and Tier 2 support, including endpoint failures, schema mismatches, and authentication problems.
• ​Triage & RCA: Triage enterprise-wide API incidents, diagnose data mapping issues, payload inconsistencies, and transformation logic errors. Perform root cause analysis (RCA) by collecting logs and analyzing error patterns.
• ​API Validation: Validate API behavior against OpenAPI/Swagger specifications, schemas, and version requirements. Assist in testing API changes prior to deployment.
• ​Cross-Functional Partnership: Work closely with development, integration, cloud, and cybersecurity teams to reproduce issues, validate fixes, and address security concerns (OAuth2, SAML, JWT).
• ​Documentation & Governance: Document findings and resolutions in the knowledge base. Participate in Change Control Board (CCB) processes when fixes affect production integrations.

​Required Technical Knowledge

​The role requires strong foundational knowledge of API architecture, security, and enterprise environments.

• ​API Fundamentals: Strong knowledge of REST APIs, endpoint communication, and data structures.
• ​Integration Troubleshooting: Experience diagnosing and resolving API defects, schema mismatches, and integration failures. Familiarity with middleware, integration layers, and message brokers.
• ​Security & Specs: Experience troubleshooting authentication and authorization flows (OAuth2, SAML, JWT). Experience working with JSON schemas, OpenAPI/Swagger specifications, and API documentation.
• ​Logging & Monitoring: Experience analyzing logs from API gateways, application servers, or integration pipelines. Familiarity with monitoring tools used for API health.
• ​Preferred Knowledge: Experience with AWS GovCloud integration patterns, knowledge of event-driven architectures, and experience with scripting/automation for diagnostics.

​This is a full-time, remote Technical Support Engineer role at Neo4j, the leader in Graph Database and Analytics. The engineer will be crucial to customer satisfaction by providing expert-level technical support, specializing in troubleshooting complex issues across the full Neo4j graph platform, including clustering, performance tuning, and integration with various application languages and cloud environments. The role involves deep product learning, acting as a Subject Matter Expert (SME), and collaborating with Product Engineering to drive fixes and enhancements.

• ​Location: Remote: West Coast US.
• ​Annual On Target Earnings Range: $100,000 - $140,000 USD, plus stock option grants.
• ​Focus: Tier 2/3 technical support, Cypher query tuning, troubleshooting JVM performance issues, cluster management across cloud environments, and driving product improvements.
• ​Initial Period: First two months focused on product immersion and foundational case work.

​What You'll Do: Expert Troubleshooting and Product Evolution

​The engineer provides comprehensive technical expertise, acting as a key interface between the customer base and the internal development teams.

• ​Technical Triage & Resolution: Timely triage varying issues based on error messages, log files, stack traces, and other data. Handle a range of urgent to minor support requests during business hours, with occasional off-hours scheduled work and on-call shifts.
• ​Performance Tuning: Consult with customers on Cypher query tuning (the graph query language) to address performance needs. Troubleshoot performance issues in JVM-based software.
• ​Cluster Management: Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of environments including cloud (AWS, Azure, GCP), virtual, and bare metal.
• ​Integration Support: Advise and troubleshoot client application driver connections from official drivers in languages/frameworks like Java, Spring, JavaScript, Python, .NET, Go, and JDBC.
• ​Product Input: Work with Product Management and Product Engineering to help define and drive fixes and enhancements based on customer needs.
• ​Knowledge Sharing: Create and share technical knowledge content, and act as a Subject Matter Expert (SME) for the Field Engineering team.

​Technical Skills and Requirements

​The role demands a strong background in database technologies, distributed systems, and core operating environments.

• ​Database Background: Background in database technologies (SQL, NoSQL, or competing graph database technologies).
• ​Platform Expertise: Strong understanding of Neo4j and how customers build, deploy, and manage applications using the graph platform.
• ​Core Systems: Demonstrated proficiency in Linux (primarily) and Windows (secondary) environments.
• ​Distributed Technologies: Experience with Docker and Kubernetes, distributed technologies, and clustering.
• ​Java Skills: Review and provide suggested improvements to Java User Defined Procedures (and UDFs) and other Neo4j Java API questions (Java experience preferred).
• ​Education: B.S. or M.S. in Computer Science or Engineering, or other technical fields strongly considered.

​This is a full-time Application Support Engineer (ASE) role responsible for the installation, configuration, troubleshooting, and maintenance of proprietary line-of-business applications and their hosting environments (UAT and Production). The ASE focuses on ensuring application reliability and server health through monitoring and deep technical expertise across multiple platforms. This role includes mentoring team members and actively contributing to documentation, automation, and continuous improvement initiatives.

• ​Location: Remote (US CA Remote, US WA Remote, US Remote).
• ​Compensation: $94,400 to $118,000 annualized, plus a 10% AIP opportunity and comprehensive benefits.
• ​Experience: 5+ years of recent enterprise-level IT systems or application support, plus 3–4 years experience with automation and scripting.
• ​Focus: Maintaining 100% application uptime, expert-level troubleshooting (AD, Windows/Linux, vSphere), scripting for automation, and continuous process improvement.

​Essential Functions: Reliability and Process Improvement

​The engineer is accountable for application stability and driving efficiency through technical solutions and documentation.

• ​System Monitoring: Architect tools to monitor systems to ensure pre-production and production servers are maintained for 100% uptime.
• ​Troubleshooting: Anticipate, correct, and document issue resolution. Work with vendors, technical, and non-technical users to understand and correct issues with company applications.
• ​Process Enhancement: Resolve issues and make recommendations, helping to implement process improvements.
• ​Documentation & Mentoring: Maintain comprehensive documentation of configurations, workflows, and procedures. Provide user documentation, including process-flow descriptions or Visio diagrams. Mentor and assist other team members.
• ​Automation: Contribute to the department’s continuous improvement initiatives through automation and scripting.

​Essential Knowledge and Skills

​The role requires expert knowledge in core infrastructure components and proficiency in modern scripting and cloud technologies.

• ​Operating Systems & Virtualization: Expert knowledge of MS Windows OS and Linux OS. Expert understanding of processors, storage devices, SAN arrays, and I/O devices compatible with vSphere.
• ​Identity Management: Expert knowledge of Active Directory domains, schemas, and configurations.
• ​Database & Interfaces: Intermediate proficiency with Microsoft SQL and XML. Strong understanding of operating system secured certificate maintenance and associated impacts on application interfaces.
• ​Cloud & Automation: Intermediate knowledge of Azure and Azure DevOps. Proficiency in scripting and automation using tools like PowerShell, Python, and AI technologies.
• ​Certifications (Preferred): MCSA, MCSE and/or VCP6 certifications preferred.

​This is a Third-level, advanced Technical Support Engineer role at SMA America, focused specifically on providing expert service and advanced troubleshooting for Large Scale Photovoltaic (PV) Systems and products. The engineer serves as an advanced service engineer, technical expert, and mentor, driving root cause analysis for difficult issues and improving system concepts in the clean energy sector.

• ​Location: Remote (Rocklin, CA headquarters hub; position utilizes a dedicated hybrid schedule—in-office Tuesday and Thursday, remote Mon, Wed, Fri).
• ​Salary Range: $82,000.00 - $108,000.00.
• ​Experience: At least 3–5 years in a technical support role, and at least 3 years of experience in power plant system commissioning is required.
• ​Focus: Advanced troubleshooting (Tier 3), root cause analysis for power plant level and communication problems, serving as a Subject Matter Expert (SME), and coordinating technical escalations globally via Jira.

​Primary Duties: Expert Support and System Improvement

​The engineer provides the highest level of technical escalation support and drives internal improvements in product design and service capabilities.

• ​Advanced Service: Serves as an advanced service engineer for all SMA large scale products, conducting quantitative and qualitative analysis to determine root cause during technical escalations.
• ​Technical Support & Coordination: Provides high-level support for difficult and unresolved customer inquiries, coordinating with customers and SMA’s Global Competency Center via the JIRA ticket system.
• ​Mentorship & Training: Serves as an expert technical resource and mentor for second-level Contact Center agents and Field Service staff. Creates work instructions and training material to elevate technical skills across the Global Service Organization.
• ​R&D Interface: As required, serves as the interface with Research & Development to optimize the design, performance, and serviceability of large scale products.
• ​SME Role: Performs as a Global Virtual team resource serving as a Subject Matter Expert (SME) for Root Cause Analysis (RCA) of failures across R&D, Quality, Supply Chain, and Global Service.

​Required and Preferred Qualifications

​The role requires a strong background in electrical engineering and practical experience in the solar energy field.

• ​Education: Bachelor’s degree in electrical engineering is preferred.
• ​PV/Solar Expertise (Required): Advanced knowledge of solar electric (PV) installation, system design, and/or inspection is required.
• ​Commissioning Experience (Required): At least 3 years of experience in power plant system commissioning is required.
• ​Technical Skills (Required): Advanced technical troubleshooting skills, advanced knowledge of engineering and mathematical concepts, and proficiency with Microsoft Office Suite.
• ​Preferred Skills: Advanced knowledge of power plant measurement devices and techniques, and the ability to work nonstandard business hours occasionally. Spanish and/or German language skills is a plus.

​This is a full-time Operations Support Engineer role at Baylor Genetics, responsible for maintaining and monitoring technical software systems, resolving customer issues, and supporting operations related to genomic technologies. The engineer will act as the crucial link between customers and internal technical teams (scientists, software engineers, bioinformaticians), ensuring compliance with strict healthcare regulations (CLIA, CAP, HIPAA, FDA). The role involves a non-traditional, alternating schedule that includes evening and weekend shifts.

• ​Location: Remote (Headquarters in Houston, TX, 77021, USA).
• ​Experience: Minimum of 2 years of experience in technical support or software engineering.
• ​Schedule: Alternating non-traditional schedule (e.g., Mon-Tue evenings, Fri-Sun alternating weekends).
• ​Focus: Technical support, system monitoring, code debugging, and process automation within a high-compliance genomic/healthcare environment.

​Key Responsibilities: Monitoring, Debugging, and Compliance

​The engineer handles complex technical issues while ensuring operational stability and regulatory adherence.

• ​Technical Support and Monitoring: Maintain and monitor support systems for technical software, including web applications and genomic software. Intake, troubleshoot, and resolve customer issues, ensuring proper and clear escalation to internal teams.
• ​Code Analysis: Debug complex code and analyze application logs to assist in issue resolution.
• ​Process Improvement: Assist in code development and code scripting (automation) for the improvement of operations support. Contribute to the design and documentation of support workflows.
• ​Cross-Functional Collaboration: Work closely with scientists, software engineers, and bioinformaticians to diagnose and resolve technical issues.
• ​Regulatory Compliance: Ensure support systems and processes align with regulatory standards such as CLIA, CAP, HIPAA, and FDA, and assist with related documentation and audits.

​Required Background and Skills

​The role demands a technical background (Computer Science/Bioinformatics) and scripting proficiency.

• ​Education: Bachelor’s degree or higher in Computer Science, Computer Engineering, Bioinformatics, or a related field.
• ​Scripting: Demonstrated competency in scripting languages (e.g., Bash, Python).
• ​Systems: Familiarity with Linux/Unix systems; cloud experience is a plus.
• ​Data: Familiarity with statistical programming languages (e.g., R, Python) and hands-on experience with databases and SQL is a plus.
• ​Preferred Experience: Experience with genomic software systems and experience in healthcare-related environments with high regulatory requirements.

​This role is a full-time Technical Services Engineer position at Daxko, serving as the primary escalation point for customer service issues. The engineer is responsible for diagnosing the root cause of complex inbound cases across all Daxko software and integrated third-party tools. This position requires strong communication skills to act as the liaison (champion) between Customer Success, Development, and TechOps, ensuring coordination during system-wide incidents and facilitating bug escalation via Jira.

• ​Location: Birmingham, Alabama, United States (Employees can work remotely).
• ​Salary Range: $43,100 - $75,100 per year, plus comprehensive benefits and performance-based incentives.
• ​Focus: Tier 2/Escalation support, root cause analysis, cross-functional communication, bug testing/escalation, and participating in an on-call rotation.

​Key Responsibilities: Escalation, Analysis, and Coordination

​The engineer acts as the technical communication hub responsible for efficient case resolution.

• ​Case Management: Work the daily inbound cases from Customer Service, determine the root cause, and either resolve or escalate to other teams (Development, TechOps).
• ​Escalation Point: Act as the escalation point for Customer Success when identifying urgent action from other departments.
• ​Communication Champion: Serve as the communication champion between Customer Success, Professional Services, Development, and TechOps to coordinate resources during system-wide incidents.
• ​Bug Management: Test and escalate bug tickets to the appropriate development team via Jira.
• ​Support Scope: Support all Daxko software offerings and integrated third-party tools.
• ​Availability: Participate in an on-call rotation.
• ​Education: Teach others how to use Daxko software offerings.

​Required and Preferred Skills

​The role demands strong problem-solving and communication skills, with database familiarity being highly preferred.

• ​Required Skills: Strong analytical and problem-solving skills, strong interpersonal and cross-functional communication skills, and excellent time management. Ability to work independently and take initiative.
• ​Preferred Education/Experience: Bachelor’s Degree in Business, Computer Science, or related field, or Coding Bootcamp/relevant certifications.
• ​Technical Preference: Familiarity with one or more of the following databases: Microsoft SQL, MySQL, MongoDB, and PostgreSQL.

​This is an entry-level, globally remote, full-time Associate Linux Support Engineer role at Canonical, the company behind Ubuntu. This position is for a hands-on engineer with a strong academic background and a passion for Linux and open source, focused on delivering expert-level technical support across the full Canonical stack, including cloud, desktop, server, and IoT environments. The engineer will own and manage cases from qualification to resolution, ensuring compliance with strict Service Level Agreements (SLAs).

• ​Location: Globally Remote (Home based - Americas, San Francisco mentioned for context).
• ​Focus: Providing expert technical support and root cause analysis for complex Linux issues, including kernel crashes, cloud environments, and OS configurations. The role requires participation in a regular weekend working rotation.
• ​Travel: Ability to travel internationally twice a year for company events (up to two weeks long).
• ​Company Culture: Pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries.

​The Role Entails: Support Ownership and Learning

​The engineer is accountable for providing outstanding technical support and contributing to the team's knowledge base.

• ​Case Ownership: Own and manage support cases from problem qualification to full resolution via telephone, email, and web, ensuring adherence to the Service Level Agreement (SLA).
• ​Troubleshooting: Regularly triage and solve complex technical problems involving Linux kernel crashes, cloud environments, desktop/server issues, and OS configurations.
• ​Knowledge Sharing: Contribute new knowledge base articles and maintain existing ones to ensure shared knowledge is available to customers.
• ​Communication: Act as a customer advocate, keeping them updated in a timely manner. Draft and distribute technical notices internally and externally.
• ​Continuous Learning: Keep learning as Canonical's products and services grow and evolve, including understanding the Ubuntu development process to set accurate customer expectations on fix timelines.

​Required Background and Expertise

​The ideal candidate possesses a strong technical foundation and the drive to excel in a challenging, customer-facing role.

• ​Education: Exceptional academic track record and an Undergraduate degree in a technical subject (e.g., Computer Science, MIS, Electrical Engineering) or a compelling alternative path.
• ​Linux Fundamentals: Experience with Linux troubleshooting (collecting logs and stack traces, fine-tuning configuration files).
• ​Technical Knowledge (2 or more required): Knowledge or basic hands-on experience in:
  • ​Linux server administration
  • ​Programming fundamentals in any language (bash, Perl, Ruby, Javascript, C/C++, Go)
  • ​Networking (bonding, firewalling, bridging, switching, network file system tuning)
  • ​Virtualization / Cloud computing concepts (provisioning, monitoring, orchestration)
• ​Soft Skills: Ability to learn quickly, thrive on change, handle pressure, and possess strong written and verbal English communication skills.

​Nice-to-Have Skills

• ​Experience supporting virtualized environments (KVM, Virtual Box, VMWare).
• ​Experience with other open-source desktop technologies.
• ​Active contribution to open-source projects/forum/code.

​This is a high-level, specialized Data Scientist role focused on Decentralized Finance (DeFi) quantitative research for a Series B company that manages risk and optimizes economic systems for major DeFi protocols. The role requires a candidate who is Crypto Native and can perform deep, novel quantitative research, manage client relationships end-to-end, and translate complex data analysis into actionable, public-facing research and clear dashboards.

• ​Location: Remote (US, Canada, or Puerto Rico).
• ​Compensation: $150K - $200K Base Salary, plus cash bonuses (OTE potential) and equity refreshers.
• ​Experience: 4+ years of professional experience in a relevant quantitative or data-focused field.
• ​Focus: Novel quantitative research, mechanism design optimization, client ownership, research publication, and building domain expertise in cryptoeconomics.

​Responsibilities: Research, Client Management, and Publication

​The Data Scientist acts as a subject matter expert who drives client success through proprietary research and clear communication.

• ​Novel Quantitative Research: Perform in-depth, novel research to make premier DeFi protocols safer and more efficient through mechanism design, data analysis, and dynamic parameter optimization.
• ​Client Ownership: Take end-to-end ownership of client engagements, including scoping work, managing relationships, and delivering measurable value through research.
• ​Research Publication: Draft and write engaging, high-quality research for public consumption to grow the company's brand and satisfy client requirements.
• ​Data Visualization: Build and deploy easy-to-understand and visually compelling dashboards for internal teams and external client consumption.
• ​Deep Domain Expertise: Develop expert-level knowledge of the complex cryptoeconomic mechanisms that underpin the DeFi industry.

​Required Experience and Background

​Success in this role requires deep quantitative experience coupled with mandatory Web3 domain expertise.

• ​Web3 Experience: Must be Crypto Native and have strong experience working within Web3.
• ​Financial Background: Experience working with pricing models, financial products, and/or different asset classes.
• ​Technical Stack: Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).
• ​Skills: Proven track record of drawing deep insights from complex datasets, extremely clear and effective communication, and the ability to work independently toward abstract goals.
• ​Preferred Qualifications: Experience with derivatives-style products, experience managing external client relationships, and published/presented research.