Forward Deployed Engineer

Accountabilities:

Lead the development and delivery of technical solutions from initial discovery and prototyping through implementation, deployment, documentation, adoption, and ongoing maintenance.
Identify recurring, high-volume, and manual technical workflows across revenue technology and professional services teams, transforming them into reusable tools and scalable automated processes.
Establish engineering standards and reusable automation patterns to reduce one-off scripts and ensure solutions remain secure, reliable, maintainable, and supportable.
Monitor, troubleshoot, and maintain production automations and integrations, continuously improving reliability, observability, error handling, and performance.
Evaluate emerging technologies and AI capabilities through hands-on experimentation, recommending which solutions should be adopted, standardized, or avoided.
Collaborate directly with stakeholders and end users to gather technical requirements, translate complex or unclear workflows into actionable solutions, and prioritize opportunities based on business impact, efficiency gains, and risk.
Build and maintain internal tools, administrative utilities, and platform automation supporting cloud environments, business systems, and internal platforms, including customer setups, environment preparation, reporting, and cross-system workflows.
Plan and execute large-scale technical changes associated with major platform initiatives and new capabilities, ensuring repeatability, validation, and risk mitigation.
Support advanced laboratory automation and complex customer technical requirements in partnership with solution consulting and professional services teams.
Develop, organize, and maintain reusable lifecycle actions, activity templates, and scoring scripts within the platform's shared script library.
Improve shared AI tooling, skills, plugins, and integrations across platforms such as Microsoft Copilot, ClickUp Brain, and Anthropic Claude.
Drive practical AI adoption by identifying opportunities and developing AI-powered workflows and agents for research, discovery, reporting, documentation, and team handoffs.
Establish and maintain responsible AI usage guidelines, including approved use cases, review processes, documentation standards, and clear ownership responsibilities.
Translate recurring operational challenges and customer feedback into actionable requirements for product and infrastructure teams, identifying when automation is appropriate and when broader platform improvements are needed.
Collaborate with product, professional services, infrastructure, and AI-focused teams to share technical insights, encourage solution reuse, and align development priorities.
Develop documentation, training materials, and ownership frameworks to ensure successful implementation, adoption, and long-term maintenance of technical solutions.
Track and communicate the impact of automation and internal tooling through usage metrics, adoption rates, and measurable time and cost savings.
Identify emerging operational bottlenecks and scalability challenges early, proposing proactive technical improvements.
Contribute to strategic cross-functional initiatives while promoting organizational values through positive and professional interactions with internal and external stakeholders.
Requirements:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent relevant professional experience.
At least 5 years of professional experience in automation engineering, DevOps, platform engineering, infrastructure engineering, solutions engineering, or internal tools development.
Strong scripting and programming skills in PowerShell and Python. Familiarity with Bash, JavaScript, or TypeScript is an advantage.
Proven experience designing, developing, and maintaining production-grade automation solutions or internal tools, from initial concept through ongoing operational support.
Hands-on experience with CI/CD pipelines, automated testing, logging, monitoring, and troubleshooting production automation.
Ability to prototype solutions quickly while recognizing when additional engineering, security, and reliability improvements are necessary for long-term or large-scale deployment.
Experience integrating systems through REST APIs and working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
Familiarity with infrastructure-as-code technologies such as Bicep, Terraform, or similar tools is preferred.
Strong understanding of virtualization technologies and disk image formats, including Hyper-V, ESXi, or KVM, as well as VHD/VHDX, VMDK, and differencing disks.
Practical experience developing generative AI solutions using LLM APIs, AI agents, skills, or Model Context Protocol (MCP) integrations, with sound judgment regarding output quality, security, and data protection.
Solid software engineering practices, including Git version control, testing, technical documentation, and secure credential management.
Demonstrated ability to understand non-technical teams' workflows and translate their needs into practical tools and automation solutions that people can successfully adopt.
Familiarity with Skillable Studio, particularly lifecycle actions and scoring scripts, is a strong advantage but not mandatory.
Excellent written and verbal communication skills, with the ability to explain technical concepts to different audiences, including leadership, colleagues, customers, and external stakeholders.
Strong organizational and project management skills, with the ability to prioritize competing responsibilities, manage workloads, and meet deadlines.
High levels of professionalism, integrity, confidence, and interpersonal courtesy.
Proficiency with Microsoft Office and collaboration tools such as Microsoft Teams or equivalent communication and video conferencing platforms.
Previous experience working within a fully remote team is preferred.
Understanding of business operations and processes, or the ability to develop this knowledge quickly.
Proactive problem-solving mindset, with a commitment to continuous improvement and operational excellence.
Strong troubleshooting abilities and the capacity to implement effective corrective actions in fast-paced environments.
Ability to work from an eligible U.S. state, as the position is currently available only to candidates whose primary residence is in an approved state.
Benefits:
Annual Salary: Competitive base salary ranging from $90,000 to $120,000, depending on experience, qualifications, skills, and role requirements.
Fully Remote Work: 100% remote position, with no regular commuting requirements.
Monthly Home Office Stipend: $200 per month to support office expenses, equipment, and supplies.
Healthcare Coverage: Two medical plan options, two dental plan options, vision insurance, and access to health savings and healthcare spending accounts, including generous employer contributions to the HSA.
Additional Protection: Employer-paid life insurance, short-term and long-term disability coverage, employee assistance program, and voluntary life, AD&D, accident, and critical illness insurance options.
Retirement Savings: 401(k) plan with employer matching contributions.
Flexible Paid Time Off: Unlimited PTO, paid holidays, bereavement leave, parental leave, caregiver leave, and paid FMLA leave.
Work-Life Balance: Opportunity to log off at 2:00 p.m. local time every Friday when work and deliverables are up to date.
Additional Company Break: Full company closure during the week of the Fourth of July holiday.
Wellness Reimbursement: Up to $750 annually toward eligible wellness activities and lifestyle expenses, including gym memberships, fitness classes, and healthy meal plans.
Professional Development: Tuition reimbursement and access to internal learning and development opportunities through the company's training platform.
Additional Perks: Access to pet insurance and other employee well-being resources.
Travel: Occasional business travel may be required, estimated at up to 10% of working time.