• Build high-performing, scalable, enterprise-grade applications, while providing expertise in all areas of full stack development. • Analyze, configure, develop, test, document, and implement new and existing applications and solutions to deliver high quality, scalable solutions to meet business objectives and operational requirements. • Support application/architecture design, design patterns and development technology/standards. • Collaborate with team members and stakeholders to support business objectives and continual improvement of team dynamics. Identify areas for improvement in the development environment, best practices and team dynamics. • Participate in identification and resolution of application and technical issues. Identify and communicate lessons learned. • Adaptive to emerging technologies. Strong desire to learn and master new technologies. • Focused on delivery of high quality solutions and improvements in customer experience and operational excellence. Awareness of scalability and enterprise thinking. Awareness of applying emerging technologies to business problems.

Role Description The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. - Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. - Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. - Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow: - Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). - Define the target workflow: what the agent does, what the human does, and where they hand off. - Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). - Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems: - Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. - Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. - Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. - Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems. Enable access and training for business to run the workflows: - Run agents and automation pipelines in production. - Own agent performance end-to-end. Track the KPIs that matter — throughput, quality, cost, human intervention rate, cycle time, adoption. - Build and manage evals. Re-run them on any material model, data, or workflow change before it ships. - Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they’re no longer the right tool. - Instrument observability: tracing, structured logs, dashboards. You don’t ship what you can’t see. Qualifications - Hands-on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting. - Working knowledge of LLM and agent behavior — prompting, context, tool use, RAG, MCP, evals, failure modes. - Be very comfortable with a cloud platform. - Trustworthy with elevated access. Least-privilege, auditability, and safe rollbacks are second nature. - Strong technical and process judgment. You think in outcomes and KPIs, can defend prioritization calls. - Comfortable being the most technical person in a business meeting and the most business-savvy in a technical one. Requirements - Prior experience working hand in hand with businesses to deliver measurable outcomes. - Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API. - Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations. - Experience in regulated environments (HIPAA, SOC 2, GxP, SOX). Success in Year One - Shipped three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place. - Domain leadership brings you into planning early, not late. - Contributed at least one reusable asset another engineer on the team is now using. - Enabling non-builders to become builders using the artifacts you created. Compensation Ranges - The base salary range for standard cost of living areas is: $152,100-$190,100. - Higher cost of living areas: $167,300 - $209,100. - Lower cost of living areas: $136,900-$171,100. - Additional components such as bonus and equity are also included in this role. - The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate. Benefits - Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. - Free testing for Natera employees and their immediate families in addition to fertility care benefits. - Pregnancy and baby bonding leave. - 401k benefits. - Commuter benefits. - A generous employee referral program. Company Description Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly.

• Work with Docker’s most important customers and cross functional Docker teams to accelerate the customer’s container and AI journeys, focusing on developer workflows • Engage with customer teams and cross functional Docker teams to gather customer’s technical/business goals and challenges related to their container and AI journey. • Create and manage engagement plans that span existing products and new Docker offerings to achieve critical business goals. • Oversee “design partner” rapid prototyping engagements with Docker engineering and customer teams to validate customer-product fit for new use cases • Work with Docker teams to create/manage/deliver custom demos and content aligned to customer use cases. • Deliver high-impact enablement and best practices content to customer audiences from developer to C level. • Ability to travel up to 50% domestically and internationally as a senior representative of Docker to prospective clients, customers, and technical alliance partners.

Role Description As our Senior Software Engineer on our Pilot Experience Solutions, you’ll own product experiences that follow pilots across the full arc of their journey, from students logging their first training flights to career aviators tracking certifications, currency, and thousands of flight hours. You’ll work across our React Native and native iOS applications, with particular focus on the offline-first architecture and data synchronization that keep our solutions reliable in the cockpit and on the ramp, connected or not. This is a high-ownership, high-agency individual contributor role: you’ll be trusted to make architectural calls, ship independently, and raise the technical bar for the engineers around you, with AI tools and workflows as a default part of how you build. Responsibilities - Build and maintain Pilotbase’s Pilot Experience Solutions across React Native and native iOS applications, covering the full pilot journey from student training through professional career milestones. - Own the offline-first architecture and data synchronization layer that keeps pilots’ logbooks accurate and available with or without connectivity. - Partner with product and design to translate pilot training and career milestones into shipped, customer-facing functionality. - Make high-judgment architectural and technical decisions independently, with minimal oversight. - Use AI tools and agentic workflows as a default part of how you plan, build, test, and ship. - Mentor and influence other engineers on the team, raising the bar on code quality, technical judgment, and AI-assisted development practices. - Collaborate with internal stakeholders and pilots directly to understand real-world logging, training, and career-tracking needs, and translate that feedback into product decisions. - Write clean, well-tested, maintainable code across mobile and backend. - Continuously evaluate and improve how our solutions are built, deployed, and monitored. Qualifications - 7+ years of professional software engineering experience, with meaningful time spent building and shipping production SaaS / mobile applications. - Hands-on experience with React Native and/or native iOS development (Swift/Objective-C). - Experience designing and maintaining offline-first mobile architectures and data synchronization. - Hands-on experience with AWS and MongoDB. - A high-agency engineer who takes end-to-end ownership and is comfortable operating with minimal oversight. - Comfortable using AI tools and agentic workflows as a core part of your development process, with a clear point of view on how they change the way software gets built. - Strong communication skills and the judgment to collaborate effectively with technical and non-technical peers. Requirements - Experience with consumer mobile apps in aviation or another regulated, compliance-sensitive space. - Experience building or operating agentic AI tooling within a software development lifecycle. - Interest in aviation or pilot experience. Benefits - Full benefits package (Medical, Dental, Vision, Short-Term Disability, Life Insurance, 401(k) plan). - Equity Appreciation Plan. - Flexible Time Off policy. - Seven (7) company-wide paid holidays + two (2) floating holidays. - Two (2) wellness days. - Employee Assistance Program. - Professional Development Stipend. - Home Office Stipend.