YOUR MISSION

Seeking an experienced Mission Manager to lead and coordinate the planning, integration, and execution of aerospace vehicle launches for defense and commercial space missions. The Mission Manager will be responsible for overseeing all aspects of the launch lifecycle, ensuring safe, efficient, and successful execution of space launch missions. This role requires strong technical knowledge of launch systems, leadership in multi-disciplinary teams, and the ability to interface with government and commercial stakeholders.

RESPONSIBILITIES

• Mission Planning & Coordination:
• Lead the planning and management of launch operations from mission concept through final execution.
• Define launch objectives and timelines in collaboration with program management, engineering, and mission partners.
• Develop detailed launch schedules, identifying critical milestones and key dependencies to ensure mission readiness.
• Serve as the primary point of contact for launch operations, coordinating with internal teams, government agencies, and commercial partners.
• Interface with subcontractors and mission partners to manage requirements, schedules, and technical deliverables.
• Launch Vehicle Integration:
• Oversee the integration of payloads with the launch vehicle, ensuring compatibility and compliance with mission requirements.
• Collaborate with engineering teams to resolve integration issues and ensure that both payload and vehicle systems meet performance and safety standards.
• Work closely with vehicle providers (e.g., ULA, SpaceX, Northrop Grumman) to manage launch site operations, technical reviews, and flight readiness certification.
• Identify, analyze, and manage technical, operational, and programmatic risks associated with the launch process.
• Develop and implement contingency plans and risk mitigation strategies to minimize potential impacts to the launch schedule and mission success.
• Conduct root cause analyses of any issues arising during the launch campaign and ensure corrective actions are taken.
• Regulatory Compliance & Safety:
• Ensure that all launch operations comply with U.S. government regulations, including FAA, DoD, and other relevant agencies.
• Maintain strict adherence to safety protocols and launch site procedures to ensure the safe execution of all pre-launch and launch activities.
• Lead pre-launch safety reviews and ensure compliance with environmental and range safety standards.

QUALIFICATIONS

• Education:
  • Bachelor's degree in Aerospace Engineering, Electrical Engineering, or related technical field (Master’s preferred).
• Experience:
  • 4+ years of experience in launch operations, aerospace systems engineering, or a related field.
  • Demonstrated experience in spacecraft development and launch, including planning, integration, testing, and execution of space or defense missions.
  • Strong knowledge of launch vehicles, propulsion systems, and ground systems, with a track record of successful mission execution.
• Technical Skills:
  • Expertise in launch vehicle integration, ground operations, and flight dynamics.
  • Familiarity with mission assurance processes and regulatory frameworks (e.g., FAA, DoD, Range Safety).
  • Experience with launch planning and scheduling tools and software (e.g., MS Project, Primavera, or custom tools).
• Security Clearance:
  • Must have or be able to obtain and maintain a TS/SCI or TS/SAP U.S. government security clearance.

PREFERRED SKILLS AND EXPERIENCE

• Experience in classified or national security space launches.
• Familiarity with various launch providers (e.g., ULA, SpaceX) and their respective vehicles (e.g., Falcon 9, Atlas V, Delta IV).
• Experience with military or government launch operations (e.g., NRO, USAF).
• Active U.S. security clearance (TS/SCI preferred).

COMPENSATION

• Base Salary: $110,000-$165,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—successful candidates will be located near our Denver or Long Beach facilities. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

***This job requires active TS/SCI clearance with a CI Polygraph.  Please apply only if you have an active TS/SCI clearance with a CI Polygraph. ***

North Point Technology is hiring a Linux Administrator SME to support mission-critical environments across our Centralized SuperComputing Facility (CSCF) and other high-impact programs. This role is ideal for a senior Linux expert who can troubleshoot deep system issues, automate administration at scale, and strengthen secure, reliable platform operations across complex environments.

Responsibilities:

Administer, maintain, and harden Linux systems supporting HPC and other mission-focused programs in heterogeneous, multi-platform environments. Troubleshoot complex operating system and kernel-level issues using source code analysis, system logs, and low-level diagnostic tools. Manage patching and system lifecycle activities, including repository administration and custom kernel builds to support new functionality and security requirements. Automate system configuration, maintenance, and patch management using enterprise tools and repeatable workflows. Support and integrate identity and access management services, including directory services and token-based authentication. Partner with support teams to improve system stability, security, and operational efficiency across critical Linux environments.

Required Qualifications:

• Bachelor’s degree in Computer Science, AIS, or related field
• 10+ years of relevant professional experience
• At least 5 years of experience developing or supporting system software in heterogeneous, multi-platform environments
• Strong scripting skills in Bourne/Bash and Expect
• Experience debugging Linux kernel issues using source code analysis, system logs, crash, systemtap, or similar tools
• Experience managing Satellite repositories for patching and custom kernel builds
• Experience automating system configuration and maintenance with Ansible and Satellite Server
• Understanding of identity management systems, including LDAP and token-based authentication
• Strong problem-solving skills and the ability to work independently in complex technical environments

Preferred Qualifications:

• Experience supporting High Performance Computing environments
• Experience administering large-scale Linux infrastructure in secure or mission-driven settings
• Experience improving operational workflows through automation and standardization

***Active TS clearance required; must be eligible for CI Polygraph. Applicants without an active TS clearance will not be considered.. ***

North Point Technology is looking for a TS Cleared Software Engineer to support a critical mission.  The program delivers cutting-edge intelligence and geospatial data management applications and services to the National Geospatial-Intelligence Agency (NGA).   The Program’s focus is on meeting the current mission needs of our customer, but also pioneering future automation solutions for the NGA based on agency directives. We are developing innovative solutions for geospatial analysis and production capabilities that will revolutionize the way intelligence is distributed to stakeholders.  

In this role, you will be part of a software development Scrum team assisting with software requirements verification, software development and operational support. The successful candidate will have experience and/or knowledge of SCRUM processes and System Requirements verification (such as Jira, Confluence

Required Qualifications:

• Frontend web development using modern techniques and frameworks (e.g., HTML5, CSS3, CSS frameworks like LESS and SASS, Responsive Design, Bourbon, Twitter Bootstrap)
• JavaScript development using modern standards, including strict mode compliance, modularization techniques and tools, and frameworks and libraries (e.g., jQuery, MV* frameworks such as Backbone.js and Ember.js, D3)
• Consuming RESTful APIs
• Using and working in team environments that use agile methodologies (e.g., Scrum, Lean)
• Use of version control systems, specifically Git and GitHub
• Ensuring Section 508 Compliance
• Quickly researching and learning new programming tools and techniques
• Using and working with open-source solutions and community
• Creating web layouts from static images
• Creating views and templates in full-stack frameworks like Rails, Express, or Django

Preferred Qualifications:

• Kubernetes
• Docker
• Continuous Integration and Deployment Tools: Git, Jenkins, Puppet, Docker
• Agile SW development methodologies

***This job requires active TS/SCI clearance with CI Poly.  Please apply only if you have an active TS/SCI with CI Poly. ***

North Point Technology is looking for a TS/SCI Cleared Systems Integration/Test Engineer to support a critical mission.  The program delivers cutting-edge intelligence and geospatial data management applications and services to the National Geospatial-Intelligence Agency (NGA).   The Program’s focus is on meeting the current mission needs of our customer, but also pioneering future automation solutions for the NGA based on agency directives. We are developing innovative solutions for geospatial analysis and production capabilities that will revolutionize the way intelligence is distributed to stakeholders.   

Required Qualifications:

• Proficiency in GEOINT workflows
• Proficiency in system-of-systems testing
• Proficiency with test automation tools (JMeter, JUnit, TestComplete)
• Collaborates with cross-functional engineering teams to define, document, analyze, execute, and interpret tests for products, systems, components, and modifications; identifies functional issues and recommends resolutions
• Establishes internal quality control standards and maintains reliability programs
• Documents and analyzes test cases, providing feedback and recommendations for product or design improvements
• Ensures testing procedures comply with all applicable industry standards
• Contributes to the continuous improvement of overall testing and quality programs to drive better outcomes
• Analyzes system requirements, concepts of operations, acquisition plans, and system descriptions to develop evaluation and test plans and procedures; prepares for and conducts data collection and analysis; and reports status and results
• Delivers clear visibility into progress, risks, and impediments
• Supports the development of Government test and evaluation documentation, including Test & Evaluation Strategies, Test & Evaluation Master Plans, Event Test Plans, Test Readiness Assessments, and T&E Reports
• Partners with other test organizations to support T&E program integration
• Delivers specialized T&E capabilities tailored to system function, level, maturity, and performance area
• Executes test plans and procedures and validates the results of automated tests
• Serves as an official witness for demonstrations and test events, providing feedback to the Government
  

About The Role

As a Manager of Sales Development, you will lead our exceptional, high agency team to achieve ambitious objectives to drive overwhelming demand for our data activation platform, develop the future leaders of our company, and grow our brand recognition in the market.  You will report into our Head of Sales Development. 

This role is perfect for a leader who is passionate about building and scaling outbound programs, coaching talent, and partnering cross-functionally to drive meaningful pipeline at the top of the funnel.  In this role, you’ll be responsible for hiring, developing, and managing a team who are focused on engaging a range of personas at some of the world’s most impactful companies. 

We’re looking for an experienced and people-driven sales leader who has the skills to effectively drive progress toward our sales organization’s ambitious and challenging objectives. You are strongly aligned with our values and bring a high sense of ownership to your work at Hightouch.

This is a hybrid role in our Chelsea, NYC office or Denver, CO office. 

What You’ll Do

• Hire, train, and develop a team of outbound SDRs
• Coach your team on prospecting and campaign development through 1:1s, call reviews, email coaching, and other formats as needed
• Monitor and report on the team’s performance against input and output metrics
• Work closely with Sales and Marketing leadership on demand generation strategy, sales play development, messaging, and more
• Support the sales leadership in defining the team’s operating model, targets, and headcount needs

What We’re Looking For

• 5+ years of experience in sales with 2+ years of experience leading a sales development function in B2B SaaS focused on outbound opportunities
• Strong analytical skills and passion for digging through data to assess team + business performance.
• Proven track record of team quota attainment.
• Passion for hiring and developing people early in their careers.
• Experience supporting teams working across Enterprise and Mid-Market segments.
• Enthusiasm for wearing many hats, you’re happy to hop on a cold call as well as inspecting message quality and call recordings.
• Experience creating a team culture of collaboration and winning.

Bonus If You Have

• Experience using sales tools such as Outreach, Gong, LinkedIn Sales Navigator, etc.
• Previous closing experience as an Account Executive.
• Have worked in sales at an early or growth stage technology startup.

Compensation

About the Opportunity

The Customer Insights & Adoption (CIA) team is hiring a Senior Product Architect, Internal Tools (f/m/d) to design and build internal products that help Contentful teams work smarter. This role serves internal product development, turning ambiguous workflow problems into useful systems that improve how Customer Experience, Sales, and Partner-facing teams operate every day.

This is a hands-on role with approximately 60% implementation and 40% architecture and planning. You will actively contribute production code while owning technical design and direction for a focused set of internal tools that support pipeline, retention, and customer experience outcomes. You’ll prototype, iterate, and operationalize internal systems that are lightweight where they should be, durable where they need to be, and designed for clear long-term ownership.

If you are excited by the idea of shipping high-leverage internal tools, bringing order to messy workflows, and translating promising prototypes into systems people actually rely on, this role offers the chance to have visible impact across the business.

Why this role matters

CIA’s internal tools work is part of how we turn customer, field, and partner insights into operational advantage. The right tools help our teams move faster, reduce manual work, improve data quality, and create a more consistent way of supporting customers and partners. This role exists to make those improvements real — not as one-off experiments, but as well-scoped internal products and patterns that deliver demonstrable value for our internal teams.

• Join a high-impact team building internal products that improve customer experience, strengthen field effectiveness, and help Contentful scale more effectively
• Shape how CIA approaches internal product development, R&D, and technical architecture — with meaningful room to influence both the systems we build and the way we build them
• Work on a wide range of interesting problems, from internal apps and integrations to structured data workflows, experimentation, and AI-assisted tooling
• Partner with deeply cross-functional stakeholders across CX, Sales, Partnerships, Product, IT, and Platform teams, with visible impact on how Contentful operates internally

What to expect? 

This is a hands-on role with approximately 60% implementation and 40% architecture and planning

• Own and evolve a focused set of internal tools, utilities, and integrations that support the Customer Experience organization (CSMs, Support, Professional Services, Learning Services) and cross-functional internal users such as Sales, Partnerships, and Pricing & Packaging
• Lead R&D and rapid prototyping efforts to identify high-leverage solutions, then determine which ideas should remain lightweight, which should be operationalized, and which should be designed for clean handoff to other teams
• Build production-quality front-end and back-end code, including API design, data flows, resilience, observability, and robust internal user experiences that align with our design system and engineering standards
• Apply component-based and front-end best practices to ensure internal tools are consistent, scalable, and maintainable
• Leverage Contentful and other internal platforms where appropriate to create reusable patterns and scalable internal solutions rather than reinventing common capabilities from scratch
• Explore and implement web crawler and scraper approaches, structured extraction workflows, and other internal data-ingestion patterns
• Explore and implement AI-assisted workflows where relevant to improve internal tools, accelerate development, and support pragmatic experimentation without compromising quality or maintainability
• Collaborate with IT, InfoSec, Platform, Legal, and Privacy partners on responsible data handling, hosting, identity, compliance, and operational readiness
• Define success metrics, instrument telemetry, report impact, and document architecture & playbooks so that stakeholders understand where they unlock value for Sales, CSMs, Professional Services, and adjacent teams, and how other teams can support or extend the systems over time

What success looks like

• Customer Experience, Sales, and partner-facing internal teams rely on a focused set of internal tools that are easy to use, well adopted, and meaningfully improve how work gets done across the business
• Internal tools built by this role are consistent, scalable, and reliable, reflecting strong front-end patterns, sound API and data-flow design, and user experiences that align with Contentful’s design system and internal platform standards
• Stakeholders have clear visibility into the impact of CIA-built systems through trusted success metrics such as adoption, time saved, data quality, and reliability, and use those signals to prioritize future investments
• Cross-functional partners experience CIA as a pragmatic, high-leverage internal product and architecture function that can take ambiguous problems, define the right solution, and deliver useful systems that support pipeline, retention, and customer experience outcomes
• Reusable patterns, technical documentation, and operating playbooks make it easier for adjacent teams to build on this work, support it over time, and extend internal tooling without accumulating unnecessary complexity or one-off solutions

What you need to be successful

• Demonstrated ability to balance system design with hands-on implementation, including recent experience contributing to production codebases
• 7–10 years building and operating production web applications
• Hands-on expertise with modern TypeScript, React and Next.js (or equivalent), state management, testing, performance, and accessibility best practices
• Back-end experience with Node.js and TypeScript, API design, eventing or queues, and serverless or containerized services, along with sound observability practices across logs, metrics, and traces
• Experience with Contentful or similar API-first CMS and composable content platforms
• Ability to translate ambiguous requirements into clear technical designs and scalable implementations, engineered for maintainability and ownership transfer
• Experience designing web application architectures, data flows, and integration points across multiple systems, with judgment about when to build a full product, when to automate, and when to keep a solution intentionally small
• Experience establishing lightweight engineering practices for a small team, including clear documentation, code review norms, testing approaches, release discipline, and operational readiness
• Mentorship and technical leadership that raises the bar on code quality, design rigor, and documentation while helping peers make better architectural decisions
• Clear written and verbal communication with technical and non-technical stakeholders, along with a bias for action and evidence-based decision making

Nice to Have

• Practical experience with AI and LLM-based workflows, particularly spec-based development, evaluation, and test or guardrail processes
• Experience working with component-based front-end architectures and design systems, including design tokens, component libraries, CSS architecture, accessibility, and Figma design and development experience
• Familiarity with web crawling and scraping approaches, including structured content extraction, normalization, and change detection
• Experience building internal tools, dashboards, or workflow systems for customer-facing, revenue, or operations teams

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive equity awards for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

• Support the development of web-based frontend space ground system software, including 2D and 3D interfaces, using React and TypeScript
• Contribute to team discussions on architecture, design, and code reviews
• Collaborate with cross-functional teams including space operators, designers, backend engineers, and astrodynamics algorithm engineers
• Take on well-scoped tasks and features with guidance from experienced engineers
• Write tests and follow established testing practices to maintain code quality

• Pursuing or recently completed a bachelor's degree in Computer Science or a related discipline
• Basic understanding of HTML/CSS and modern JavaScript or TypeScript
• Familiarity with React or similar modern frontend frameworks
• Basic understanding of how frontend applications communicate with backend services (e.g., REST APIs, WebSockets)
• Interest in building complex, data-rich user interfaces
• Comfort with Git and collaborative development workflows
• Strong written and oral communication skills and aptitude for working across disciplines
• Enjoys debugging and problem solving
• A strong bias towards understanding how things work rather than accepting the status quo

• Experience with React patterns including hooks, functional components, and component composition
• Exposure to testing frameworks such as Jest, Vitest, or React Testing Library
• Familiarity with component libraries, design systems, or tools like Storybook and Figma
• Exposure to Three.js, React Three Fiber, or other web-based 3D libraries
• Familiarity with CSS-in-JS, Tailwind, or other modern styling approaches
• Exposure to databases such as PostgreSQL or MySQL
• Interest in data visualization, real-time interfaces, or interactive 3D applications

COMPENSATION

• Base Salary: $28/hour 

This position will be open until it is successfully filled. To submit your application, please follow the directions below.

About The Role: 

• We're looking for a Staff Software Engineer who wants real ownership in a fast-moving environment. 
• You'll help design, build, deploy, and operate the software that runs Urban Sky's manufacturing operation—a full-stack MRP system that tracks inventory, work orders, bills of materials, quality holds, and serialized parts from receiving through final integration. It's the operational backbone of how we actually build balloons. Because the company is growing quickly, the scope of the role will evolve over time, and you'll have meaningful influence over what we build next and how we build it. 
• You'll work shoulder-to-shoulder with the people using the software every day—manufacturing technicians, logistics coordinators, quality inspectors, and finance. There's no product manager between you and them. You'll learn how parts flow through the building, what makes a quarantine workflow painful at 3pm on a Friday, and how a missed traceability record turns into a compliance problem. Translating messy physical processes into clean software is most of the job. 
• The interfaces you build are for operators, not consumers. A shop-floor tech holding a tablet, scanning a barcode, working through a multi-step assembly procedure—that's your user. Touch targets, scanner integration, and drag-and-drop work instructions matter more than landing-page polish. 
• We operate in an aerospace-regulated environment (AS9100). Every mutation needs an audit trail. Serialized parts need end-to-end traceability. "Move fast and break things" doesn't apply to production data. We still move fast—but with the discipline that comes from knowing a corrupted record can ground a flight. 
• You don't need prior MRP or manufacturing experience. You do need to be excited—or at least not intimidated—by learning a complex business domain alongside the code. 
• If you enjoy small teams and solving ambiguous problems, this role is likely a great fit. 

What You'll Do 

• Our overall software team is roughly 7 people, and this team will be just 2 people, everyone works across the stack. That's not aspirational—it's required. A small team with real ownership only works if everyone can contribute quickly and adapt as the company and product evolve. 
• Senior engineers here build trust by shipping early and expanding their scope through demonstrated ownership. 

What we need you to do right away

• We expect senior engineers to become productive almost immediately. 
• In your first days and weeks, you will: 
  • Set up your environment and start committing code within your first day or two 
  • Learn existing systems by improving them, not by watching from the sidelines 
  • Fix bugs, tighten rough edges, and ship small enhancements to production 
  • Participate in deployments, debugging, and operational workflows 
  • Use AI tools from the start to understand the codebase and accelerate contributions 
  • Ask questions, propose improvements, and engage in technical decisions 
• You won't be waiting for a long ramp period. 
• You'll build context by doing real work that ships. 

What you will grow quickly into

• As you gain context, scope expands fast. 
• Within your first couple of months, you'll be expected to: 
  • Own meaningful areas of our stack across backend, frontend, and infrastructure 
  • Lead design and implementation of projects that may span quarters 
  • Make architectural decisions with an eye toward reliability, operability, and future change 
  • Work directly with operators and stakeholders—often non-engineers—to refine solutions 
  • Drive systems from concept → implementation → production → iteration → support 
  • Continuously simplify, improve, and evolve what you own 
  • Help the team move faster by raising technical quality and reducing friction 
• By this point, you're not just contributing—you're a primary owner. 
• There are no lanes to stay in and no handoffs to hide behind. 
• If something feels confusing to an operator, that's an engineering problem. 
• If a system is brittle, slow, or overbuilt, that's an engineering problem. 
• If a workflow on the shop floor doesn't match the software, that's an engineering problem. 
• If requirements change mid-stream, that's reality—and adapting thoughtfully is part of the job. 
• If AI-generated code is messy, that's also an engineering problem. 
• You'll own systems end-to-end, from design through production and long-term maintenance—even as those systems evolve. 

Our engineering principles 

• These principles guide how we build systems in a fast-moving, real-world environment. 
• Design for operations, not just implementation 
• Software doesn't stop at merge. We design systems that can be deployed, monitored, debugged, and safely operated under changing constraints. 
• Favor simple, adaptable systems 
• Clarity beats cleverness—especially when systems need to change quickly. 
• Own the full lifecycle 
• Engineers are responsible for their systems from design through production, operational support, and ongoing evolution. 
• Build reliability through feedback 
• Observability is a first-class concern. Logs, metrics, and traces help us understand how systems behave as usage and requirements change. 
• Use abstraction sparingly and intentionally 
• Abstractions should make change easier, not harder. If they obscure failures or slow iteration, they're the wrong choice. 
• Scale and evolve based on evidence 
• We increase complexity, performance, and scale in response to real operational needs—not speculative futures. 
• Leverage AI with engineering judgment 
• We use AI aggressively to increase velocity and explore solutions, while remaining fully accountable for correctness and maintainability. 
• Embrace iteration as the default 
• Progress comes from frequent adjustments and steady improvement, not rigid plans. 

AI-assisted development 

• AI isn't supplemental here. It's a core part of our SDLC. 
• We use Claude Code for feature implementation, run automated multi-agent code review on pull requests, and have AI-driven quality checks integrated into CI. A meaningful portion of production code is AI-written and human-shaped. The skill we care about isn't typing speed or autocomplete—it's the judgment to review, restructure, reject, or rewrite AI output until it's correct, readable, and operable. 
• We expect you to: 
  • Use AI tools daily for implementation, debugging, refactoring, and exploration 
  • Adapt quickly as tools, models, and workflows evolve 
  • Apply strong judgment to AI-generated code—you're accountable for what ships, not the model 
  • Use AI to build production systems, not just prototypes 
  • Treat AI as leverage, not a replacement for understanding 
• We care far more about how you use AI than which model you prefer. 

What we are looking for

• This is a senior role. We're optimizing for experience, judgment, and adaptability. 
• You likely have: 
  • 8+ years of professional software engineering experience 
  • Strong fundamentals in system design, data structures, and architecture 
  • Experience building and operating backend systems at scale 
  • Solid instincts for data modeling, schema design, and SQL 
  • Comfort with cloud infrastructure and modern DevOps practices 
  • Experience owning production systems in environments that evolve quickly 
  • Strong communication skills and the ability to collaborate as priorities shift 
• You probably enjoy: 
  • TypeScript and modern web development 
  • Designing clean APIs and well-structured monoliths 
  • Thinking carefully about data models, schemas, and migrations 
  • Infrastructure, reliability, and operational excellence 
  • Mentoring others and raising the bar for the team 
• Learning quickly and adjusting course as new information emerges

Technologies (not a checklist) 

• We currently work with technologies such as: 
  • TypeScript / JavaScript 
  • React, Vite, Mantine UI 
  • tRPC for API contracts 
  • PostgreSQL (raw SQL and migrations, not just an ORM) 
  • ClickHouse for analytics 
  • Playwright for end-to-end testing 
  • AWS, Terraform, Docker 
  • CI/CD pipelines 
• You don't need experience with every tool—but you should be comfortable learning new systems as the stack evolves. 

 Benefits 

• Salary $150,000 - $180,000 per year  
• Stock Options 
• Medical, Vision and Dental 
• Unlimited Vacation Days 
• Cell Phone Bill Stipend 

This is a hybrid role where office attendance in Denver is expected 2 days per week (Tuesday and Thursday). A $100 monthly transportation/parking stipend is provided.

About the Opportunity

Contentful is looking for a Software Engineer to join our Ecosystem product line with a primary focus on Marketplace. In this role, you will help build, maintain, and grow the systems, apps, and workflows that expand what customers can do with Contentful.

You will work across the Marketplace surface area and adjacent ecosystem tooling, helping us deliver high-impact apps, improve the contribution and review pipeline, and scale the ways internal and external developers build on top of Contentful. While Marketplace is the primary focus, this role should also be able to contribute across adjacent Ecosystem areas, such as Extensibility and Developer Experience, when priorities call for it.

This role is ideal for an engineer who is strong in front-end product work but not limited to it: someone who is comfortable moving between React surfaces, Node.js services, APIs, developer tooling, and production operations as needed. We are looking for a product-minded full-stack engineer who enjoys strong cross-functional collaboration and taking growing ownership of software through its full lifecycle in production.

We are also evolving how we build software. We increasingly use AI-assisted development workflows to accelerate delivery, reduce menial workload, and improve leverage across the software development lifecycle. We are looking for an engineer who is genuinely excited to experiment with these tools — not just adopt them passively, but bring strong engineering instincts to getting the most out of them.

 What to expect?

• Design, build, and maintain Marketplace features, apps, and supporting services that improve the experience for both app builders and app installers.
• Contribute to the systems and tooling that help Contentful teams and partners bring new apps and integrations to market faster.
• Contribute across adjacent Ecosystem problem spaces, including extensibility workflows, developer tooling, internal platform capabilities, and backend services that support developers building on Contentful.
• Improve contribution workflows, trust and safety checks, maintainability, and operational quality across Marketplace and ecosystem surfaces.
• Partner closely with product, design, and engineers across Ecosystem to shape solutions that solve meaningful customer and business problems.
• Help generalize, polish, and productionize internally-built apps and ecosystem contributions so they can be supported long term by Marketplace Engineering.
• Own software in production, including debugging issues, improving observability, strengthening reliability, and participating in support and operational responsibilities.
• Use AI-assisted workflows across planning, implementation, debugging, and documentation where they create real leverage.
• Help the team improve how we use AI in engineering by sharing practices, refining workflows, and contributing to a healthy engineering culture around quality and speed.

What you need to be successful

• Roughly 4-7 years of relevant software engineering experience
• Solid professional software engineering experience building and maintaining production systems.
• Strong experience with TypeScript and Node.js, plus solid experience building user-facing product surfaces in React or similar front-end frameworks.
• Clear strength in front-end engineering, paired with real comfort contributing to backend services, APIs, and developer-facing tooling rather than working exclusively in the UI layer.
• Experience designing and evolving APIs, integrations, and services used by other engineers, partners, or customers.
• Good judgment around reliability, maintainability, security, and technical tradeoffs in a product environment.
• Comfort working across the stack and across boundaries, from user experience to backend behavior to operational concerns.
• Strong communication and collaboration skills, including experience working cross-functionally and asynchronously across teams and time zones.
• A product mindset and real empathy for developers, partners, and customers.
• Practical experience using AI tools to improve engineering productivity, with the ability to evaluate outputs critically and maintain a high quality bar.

Nice to Have

• Experience with developer platforms, SDKs, app frameworks, marketplaces, extensibility products, or integration ecosystems.
• Experience with AWS, Terraform, Kubernetes, Cloudflare, or related cloud infrastructure.
• Experience maintaining or contributing to public or shared developer tooling.
• Familiarity with AI-native product surfaces, agentic workflows, or systems that connect software to external tools and services.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This position is not eligible for visa sponsorship. Applicants must be authorized to work without visa sponsorship by the start date of employment.

Salary Statement: The salary range displayed is specifically for potential hires who will work or reside in Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, the applicant’s skills and prior relevant experience, and certain degrees and certifications (e.g., JD/technology).

Salary Range: 136,000 - 184,000 [This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.]

This posting is open for 4 weeks from the date of posting.

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

The application deadline is 05/18/2026

Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: $140,000 - $190,000 

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $275,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

Location: Remote (For Non-Local) or Hybrid (Local to NYC area)

Position Summary:

Join our mission to transform our nation's healthcare system as a Senior Full-stack Software Developer. In this role you will assist in leading projects from design to delivery. Partner with product managers and designers to define requirements during discovery and planning. Collaborate with developers to deliver those requirements on time as new features or improvements to existing functionality. 

Why You’ll Love Working Here 

• We have a remote-first culture.
• You will make a tangible impact on society. Your code will directly improve healthcare experiences for millions.
• We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. 

Position Responsibilities

In this role, you’ll combine technical leadership with hands-on coding to build scalable, high-impact healthcare technology. You will: 

• Exercise leadership over features from design to delivery. 
• Be a partner to product, design, and quality assurance team members. 
• Become a subject matter expert on your team’s products. 
• Provide technical support to cross-functional team members and stakeholders. 
• Expand Judi, our web-based enterprise health platform, using Python, AWS services, React/Typescript, and other technologies. 
• Work in an Agile/Scrum environment. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Preferred Qualifications

We’re looking for someone who brings a mix of technical expertise, problem-solving ability, and collaborative spirit: 

• 7+ years of job-related experience. 
• Desire to work at a health tech company. 
• Strong Python (Flask / SQLAlchemy) and React / Typescript experience. 
• Advanced PostgreSQL database knowledge (e.g., common table expressions, windowing functions, views, stored procedures, full-text or geospatial indexing). 
• Experience with infrastructure as code using AWS, Terraform, or similar technologies. 
• Experience writing unit and integration tests. 
• Git expertise and experience working in a mono repo. 
• Able to demonstrate agency, urgency, and ownership over delivering quality work. 
• Strong written and verbal communication skills. 
• Previous Pharmacy Benefits Manager (PBM) experience is a plus. 

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About Procare

For over 30 years, Procare Solutions has been dedicated to empowering early childhood educators by providing products and services that enable them to focus on the care, safety and education of children.  We recognize the responsibility that comes with nurturing and educating children, which is why our child care management solutions are designed to automate business processes, help ensure safety and compliance, communicate with families and provide educational resources and training to help teachers and children thrive.

Over 40,000 satisfied customers have chosen Procare Solutions as their trusted partner in providing exceptional care for young minds.   

A Little About the Role

As a Principal Engineer, you will serve as a technical visionary and a force multiplier, operating at the organizational level to ensure our technology stack scales alongside these ambitions. While our Senior Engineers focus on specific features, you will be responsible for the long-term architectural health of the entire ecosystem. You will help define and evolve our offerings toward our scaling goals, recognizing that the technical path forward is an open question. Whether parts of the platform evolve in place or warrant greenfield rewrites, that assessment—and the strategy that follows—is a core part of the role.

What you’ll do:

Data Architecture & System Design

• • Lead our data architecture transformation — decomposing overgrown domain models, 
  establishing clean domain boundaries, and designing schemas that perform at scale.
• • Define query access patterns, indexing strategies, and data modeling standards that 
  prevent the next generation of technical debt.
• • Own the technical strategy for the platform's evolution — whether that means 
  modernizing the current stack, rebuilding key components, or a hybrid approach.

Platform & Service Architecture

• Shape the broader system architecture — API design, service boundaries, integration patterns, event-driven real-time systems — with a focus on reliability
• Drive the scaling strategy from our current base to 3-5x, ensuring platform, infrastructure, and operational practices are ready
• Partner with product leadership when strategic decisions are made and collaborate effectively with other departments

Technical Vision

• Collaboratively set the 2-5 year technical direction, informed by where the business and the technology industry are heading
• Evaluate build-vs-buy decisions, investigate emerging technologies
• You understand the strengths and limitations of AI and have a strong understanding about how AI capabilities should be integrated into the engineering platform and product
• Anticipate scale failures, performance cliffs, and architectural dead ends before they become incidents

Engineering Culture & Standards

• Raise the technical bar through design reviews, architectural standards, and hands-on mentorship of both technical and non-technical stakeholders
• Establish lightweight, effective processes for how we make and document technical decisions: RFCs, ADRs, design reviews
• Build, design, and execute on internal AI tooling and patterns to drive AI enablement throughout the organization

Execution

• This is not a slides-and-diagrams role. You will write code — approximately 30-40% of your time, particularly on critical path migrations, performance-sensitive systems, and proving out architectural patterns
• Lead by example: your PRs, design docs, and technical decisions set the standard
• Sequence work pragmatically — you know how to migrate production databases serving millions of users without downtime

Our ideal candidate will have:

• 10+ years' of experience in technical leadership roles
• BA/BS in Computer Science or equivalent experience
• You have experience with Ruby/Rails, TypeScript/React, Go, Python, and the ability to learn new stacks fast
• You have an AI-native workflow. You likely have an agentic setup that you have tweaked and optimized for how you work
• You have built agentic applications with both autonomous and strong human-in-the-loop UX patterns
• Demonstrated experience building and scaling complex products and applications

Physical Requirements

• This position works most of the time in a fixed office location and may involve sitting and/or standing for prolonged periods
• Frequently required to communicate verbally and in writing (mostly email) with candidates, other employees, and vendors
• Use of computer, telephone, and other office equipment for the greater part of the workday
• Occasional travel may be required to conferences or to other Procare offices

Why Procare?

• Excellent comprehensive benefits packages including: medical, dental, & vision plans
• HSA option with employer contributions
• Vacation time, holidays, sick days, volunteer & personal days
• 401K Plan with employer match and immediate vesting
• Employee Stock Purchase Plan
• Employee Discount Program
• Medical, Dependent Care, and Transportation FSA Plans
• Company paid Short and Long-Term disability and Life Insurance
• RTD EcoPass for all Denver employees
• Tuition Reimbursement and continued Professional Development
• Fast paced, high energy workplace environment in prime downtown location
• Regular company provided meals

Salary

$180,000 - $200,000/year DOE

Location

This position is based in either our Atlanta, GA office or Denver, CO office. We are currently in a hybrid in-office/remote working model based on business needs. Candidates must be willing and able to work from our Atlanta, GA or Denver, CO office a minimum of 3 days a week.

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

#LI-TP1

Location: Only SF, Denver, NYC

About the Role:

We’re hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

About the Team:

Payroll is the beating heart of Gusto’s business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external.

Sub- Teams:

• Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process.
• Ledger: This team is building a payroll ledger to track accrual accounting for payroll-related money movement. This team is starting to support the payroll domain, risk, payments, and accounting. 
• Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end-to-end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more.
• Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with. 

Here’s what you’ll do day-to-day:

• Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals
• Design, build, and test the foundation that supports compliant payroll for millions of people
• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
• Mentor and grow fellow engineers working to create holistic and scalable solutions
• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy
• Improve the productivity and happiness of our teams with the services, tools, and APIs you build.
• Engage in a highly supportive environment working with others to drive productivity and innovation
• Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects.

Here’s what we're looking for:

• Successful applicants typically have at least 15+ years of experience
• Able to build maintainable, structured, well-documented code 
• Strong knowledge of data structures, data modeling, and system design
• Experience working across 3+ teams, influencing both product and team direction
• Experience working on platform products which are depended upon throughout the company
• Experience engineering, designing, building and supporting large scale systems in production
• An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders
• Experience operationalizing and scaling large interconnected production systems
• Enthusiasm for a collaborative, test-driven environment
• Experience in complex highly regulated domains
• Examples: HR, Payroll, Taxes, or Compliance 
• Experience using AI tools to build, test, and iterate on products quickly.
• Understanding of how to evaluate AI-driven outputs using clear success criteria.
• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.
• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-DNI

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real. 

As a Senior AI Platform Engineer, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will contribute to platform-level technical decisions about AI providers, tools, and architectures. You will also help build and deliver AI training and enablement for the company, including office hours, brown bags, and hands-on resources. 

This role reports to the Chief Security Officer and works across every function. You will have meaningful autonomy, direct visibility to executive leadership, and the opportunity to shape how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Contribute to technical evaluation and selection of AI providers, tools, and platforms, helping inform build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Help design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that build real fluency across teams 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and surface new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), or agent frameworks 
• Experience building integrations between software systems using APIs, webhooks, data pipelines, or authentication flows 
• Ability to work across a broad technical surface area, moving between infrastructure, application development, and platform work as priorities require 
• Good communication skills and ability to explain technical AI concepts to non-technical audiences through training, documentation, or direct support 
• Comfortable operating with autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $170,000-$275,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

YOUR MISSION

AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to make that investment real. 

As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will ship capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work. 

The scope is broad by design. You may be standing up on-premises GPU infrastructure one week, building connectors between AI models and internal systems the next, and developing a custom application for a specific business workflow after that. You will make platform-level technical decisions about which AI providers, tools, and architectures to adopt. You will also own AI training and enablement for the company, running office hours, brown bags, and building the resources that help people get real value from these tools. 

This role reports to the Chief Security Officer and works across every function. You will have significant autonomy, direct access to executive leadership, and the opportunity to define how a fast-growing defense technology company operates with AI. 

RESPONSIBILITIES

• Build and maintain AI platform infrastructure: API integrations, model access pipelines, system connectors (MCP, tool use), and on-premises compute environments as needed 
• Develop custom AI-powered applications, workflows, and integrations that connect frontier models to internal systems such as project management, documentation, communications, and operational tools 
• Own technical evaluation and selection of AI providers, tools, and platforms, making build-vs-buy decisions based on capability, compliance requirements, and speed to value 
• Design and deliver AI training and enablement programs for the company, including hands-on workshops, office hours, documentation, and shared resources that help teams build real fluency 
• Partner with engineering, security, and IT teams to ensure AI deployments meet government security and compliance requirements across data classification levels 
• Stay current with the rapidly evolving AI landscape and bring informed recommendations on new models, tools, and capabilities that could accelerate the company 

QUALIFICATIONS

• Strong software engineering background with experience building and shipping production systems, ideally in Python, TypeScript, or similar languages common in AI/ML tooling 
• Hands-on experience with large language model APIs, including prompt engineering, tool use, retrieval-augmented generation (RAG), and agent frameworks 
• Experience building integrations between AI systems and enterprise platforms (APIs, webhooks, data pipelines, authentication flows) 
• Demonstrated ability to work across a broad technical surface area, context-switching between infrastructure, application development, and platform architecture 
• Strong communication skills and ability to translate technical AI concepts for non-technical audiences through training, documentation, and direct support 
• Self-directed and comfortable operating with high autonomy in a fast-paced environment where priorities shift and the playbook is being written in real time 
• Ability to maintain or obtain TS//SCI clearance 

PREFERRED SKILLS AND EXPERIENCE

• Experience deploying AI or ML systems in government, defense, or regulated environments with security and compliance constraints 
• Familiarity with government cloud environments (AWS GovCloud, Azure Government) and authorization frameworks (FedRAMP, IL4/IL5) 
• Experience with on-premises GPU infrastructure (NVIDIA, CUDA) for model hosting or fine-tuning 
• Background in developer tooling, platform engineering, or internal tools teams at high-growth technology companies 
• Experience building knowledge retrieval systems, embedding pipelines, or enterprise search infrastructure 
• Currently hold or have previously held a U.S. security clearance at any level 

COMPENSATION

• Base Salary: $200,000 - $330,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—while we observe a hybrid work environment, you will need to be onsite as the business needs require. On an average week, you can expect to spend at least 3 days per week in office.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

JOB SUMMARY:

The Jira Platform & Identity Automation Engineer is responsible for designing and implementing automation and structured data models across Jira Service Management and Jira Assets. This is a short-term project (6 months) contract with British Aerospace Engineering.  The role focuses on automating Active Directory (AD) access workflows and building scalable, maintainable systems that translate business processes into reliable, auditable automation. The engineer will support both the development of a structured asset/data model and the automation of high-volume AD group membership changes based on approved service requests.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

AD Automation & Workflow Execution

• Design and implement automation that converts approved Jira tickets into AD group membership changes
• Integrate Jira workflows with execution platforms (e.g., PowerShell services or VMware Aria Orchestrator)
• Develop and maintain automation using ScriptRunner for Jira or equivalent tools
• Implement validation, idempotency, and error handling for automated actions
• Ensure all changes are logged, auditable, and attributable

Jira Assets (CMDB) Design & Implementation

• Design object schemas in Jira Assets for devices, infrastructure, applications, and services
• Define relationships between assets (e.g., system → owner → access groups)
• Establish data standards, governance, and lifecycle processes for Assets
• Integrate Assets with Jira forms to enforce structured input and reduce errors

Platform Integration & Architecture

• Define and implement separation between request intake (Jira), data/policy (Assets), and execution (automation/orchestration)
• Build integrations between Jira, Assets, and external systems via REST APIs
• Ensure scalability and maintainability of automation workflows

Identity & Access Management Alignment                                                   

• Support and improve AD group lifecycle and access request processes
• Apply IAM principles including least privilege, role-based access, and separation of duties
• Identify opportunities to reduce manual access provisioning and improve consistency

REQUIRED SKILLS AND EXPERIENCE:

• Hands-on experience with Active Directory, including security groups and group membership management
• Experience with PowerShell-based administration
• Experience with Jira Service Management, including workflows, request types, and automation
• Experience designing or working with structured data models (CMDB, asset systems, or similar)
• Experience with scripting and automation
• Experience integrating systems via APIs
• Strong understanding of RBAC, least privilege, and separation of duties

EDUCATION: Bachelors with  3+ or Master with  1+ Years of Experience

LENGTH: 6 months

LOCATION: Full Time/ On-Site in Broomfield, CO

CLEARANCE REQUIRMENT:  TS/SCI Eligible 

DOD 8570 REQUIREMENT: IAT - Level II

SALARY RANGE: $100 to $120 per hour

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

• Remain in a stationary position for extended periods of time.
• Operate a computer, keyboard, and other office equipment using hands and fingers.
• Communicate effectively in person, over the phone, and through electronic means.
• Occasionally move about the office to access files, office equipment, and meeting spaces.
• Lift and/or move up to 15 pounds as needed.
• Maintain specific vision abilities, including close vision and the ability to adjust focus.

WORK ENVIRONMENT:

This position is performed within a secure, classified workspace. Employees must comply with all applicable security protocols and access control procedures, including restrictions on personal electronic devices and the handling of sensitive information.

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the San Francisco, CA area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of New York, New York the annual salary range for this role is $174,000-$210,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of San Francisco, CA the annual salary range for this role is $168,000-$215,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of San Francisco, CA the annual salary range for this role is $174,000-$210,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of Denver, CO the annual salary range for this role is $157,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

For residents of San Francisco, CA the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of New York, New York the annual salary range for this role is $110,000-$130,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

For residents of Denver, CO the annual salary range for this role is $189,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of New York, New York the annual salary range for this role is $168,000-$215,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of San Francisco, CA the annual salary range for this role is $110,000-$130,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in Soho, NY.

For residents of NY, NY the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the Denver, CO the annual salary range for this role is $155,000 - $175,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of Denver, CO the annual salary range for this role is $152,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This role requires 2-3 days a week in office in Soho, NY

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the New York, NY area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

The Digital Experience & Experimentation family of products includes Product Analytics, Feature Flags, Experimentation, and Session Replay and is a fast-growing segment at Datadog and addresses a distinct buyer, product managers, digital experience teams, and product engineers building and optimizing customer-facing applications. As a Product Solutions Architect, you will partner closely with Datadog customers and the Product team to design architectures, implement best practices, and drive adoption of this digital experience product family across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as an in-house subject matter expert for the Datadog Product Analytics, Feature Flags, Experimentation, and Session Replay and related products.
• Partner with field teams to offer guidance on architecture choices, SDK instrumentation, data collection, and best practices to large Enterprise customers as they adopt the product family.
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience.
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community.
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities.
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Product Analytics product family.
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments.
• Collaborate on defining the technical GTM motion for Feature Flags and Experimentation, including competitive positioning against competitors to enable Sales Engineers globally to run these conversations independently.

Who You Are:

• 5+ years of experience solving complex problems for customers and a strong knowledge of building applications, specifically using product analytics, feature flagging, or digital experience tooling.
• You have excellent verbal and written communication skills.
• Familiarity with product analytics platforms and optimizing them for Enterprise level production usage (e.g. Adobe Analytics, Google Analytics, Amplitude, Mixpanel, Heap, Contentsquare, FullStory, PostHog).
• Fluent in the digital experience and product analytics market domain, competition, technological shifts, and customer needs related to feature flag management, experimentation, and session replay.
• In-depth knowledge or experience with leveraging feature flag and experimentation tools (LaunchDarkly, Eppo, Split, Optimizely, etc.) and session replay platforms (FullStory, Contentsquare, Microsoft Clarity, etc.).
• Someone who can analyze Codebase and understands CI/CD, branch strategies and how that can influence Feature Flags.
• Experience with commonly used web and mobile languages and frameworks such as JavaScript, TypeScript, React, Python, iOS/Swift, Android/Kotlin, and file formats such as JSON and YAML.
• You are comfortable operating in rapidly evolving, ambiguous technical domains.
• You build deep context across teams and translate it into reusable, scalable solutions.
• You take ownership from problem definition through implementation and measurable outcomes.
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations.
• Able to sit up to 4 hours, traveling to and from client sites.
• Able to travel via auto, train, or air up to 40% of the time.

Bonus Points:

• Successful track record with 5+ years experience working as a Growth Engineering 
• Experience using Datadog and/or other observability tools with Product Analytics, or Feature Flags.
• Have proven experience deploying observability or analytics instrumentation in production environments at scale.
• Background in experimentation program design, defining success metrics, guard rails, and statistical significance frameworks for A/B tests.
• Experience with privacy-by-design and data governance for session replay, including PII masking, consent management, and data residency requirements in regulated industries.
• Experience collaborating with open source projects and active engagement within associated communities.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Your role
We are looking for a rare breed of leader: someone who possesses the technical depth of an AI Architect and the strategic mindset of a Sales Executive. Reporting directly to the Vice President of Sales Engineering, you will recruit, mentor, and direct a team of Forward Deployed Engineers who translate complex business challenges into high-impact, Agentic AI systems.

You are a self-starter who thrives in ambiguity. You don't just manage a team; you lead from the front, acting as the company’s most technically fluent business consultant and our customers' most trusted AI architect. You will partner across Sales, Product, and Engineering to ensure our AI platform is not only adopted but becomes the backbone of our customers' operations.

You will lead a specialized, high-impact technical division within our global Sales organization. This team isn't just selling software; they are building the future of communication. The Agentic Sales Engineering team is the "special forces" of our Go-To-Market strategy—a group of elite Forward Deployed Engineers who embed themselves within our most strategic accounts to bridge the gap between visionary AI potential and production-ready reality.

What you’ll do

• Build & Mentor: Recruit and develop a high-performing team of Forward Deployed Engineers. Coach them to develop both their technical AI/ML skills and their ability to command a C-suite boardroom.
• Strategic GTM Leadership: Partner with Sales leadership to identify "must-win" accounts where Agentic AI can be a differentiator. Actively participate in the sales cycle to provide leadership, technical authority, and strategic deal support.
• Bridge the Gap: Act as the crucial link between the field and the lab. Synthesize critical "field signals"—customer pain points, integration patterns, and platform limitations—and deliver them to Product and Engineering to influence the roadmap.
• Architect Value: Guide the team in designing complex multi-agent systems, retrieval pipelines (RAG), and decision logic that integrate with CRMs, ERPs, and custom APIs via our MCP framework.
• Innovate Processes: Create and implement new systems for "AI Envisioning" sessions, helping customers navigate complex cloud/data infrastructure to bring AI bots to life.
• Drive Execution: Ensure the team isn't just selling a vision, but building the "shippable" capabilities that validate a customer's investment during pre-sales and early deployment.

Skills you’ll bring

• The Basics: BA/BS degree or equivalent practical experience.
• Experience: Minimum 8 years of customer-facing technical experience (Sales Engineering, FDE, or Solutions Architecture).
• Minimum 5 years of people management experience, specifically leading technical teams.
• Technical Depth: Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Vector Databases, and Agent Orchestration Frameworks. Proficiency in Python, Go, or JS/TS.
• Business Acumen: The ability to simplify technical complexity and communicate clear ROI and trade-offs to non-technical C-suite executives.
• Leadership Style: High emotional intelligence with a "scrappy" mentor mindset. You are someone who takes initiative and thinks creatively to get the job done under tight timelines.
• Operational Excellence: Strong analytical skills to use data in improving team effectiveness and product vision.

About the Opportunity

We are seeking a hands-on, front-end-strong full-stack engineer to own the clinical reporting experience at the heart of our imaging platform. This is a high-impact individual contributor role — you will be the primary engineer driving the reporting UI and clinical workflow that cardiologists and radiologists use to review, finalize, and deliver results.

Our engineering team skews backend-heavy, which means there is significant frontend work ahead and real ownership available for the right person. You will work directly with clinical stakeholders — cardiologists, radiologists, and Core Lab teams — to shape workflows that directly impact patient care.

The ideal candidate is a strong React/TypeScript engineer who is comfortable with backend API integration, has built clinician-facing interfaces before, and is genuinely excited about doing the detailed, grinding work of getting clinical UIs right.

What You'll Own

Clinical Reporting UI

• Own the end-to-end reporting experience — the interface cardiologists and radiologists use to review cases, finalize results, and sign off on reports
• Build a web-based results summary displaying case status, key measurements, exceptions, and data provenance across Cleerly and integrated third-party applications
• Design and implement clear, high-usability clinical interfaces that handle complex multi-source data with strong information hierarchy

Workflow Integration

• Implement secure viewer launch flows — opening the Cleerly viewer, embedded HTML5 components, or external viewers via deep-link or SDK integration
• Partner with Backend, Viewer, and CoreLab teams to ensure the full workflow reliably supports case gating, edits, final sign-off, and write-back to PACS/EHR
• Integrate with third-party reporting engines and dictation tools (e.g., Nuance, M*Modal) as needed

Backend and API Integration

• Consume and shape REST APIs, manage pagination and filtering, and ensure audit-safe data handling across the reporting surface
• Work with FHIR/HL7 standards for structured reporting outputs and EHR write-back
• Contribute to backend services as needed to support the reporting platform

What We're Looking For

Required:

• 8+ years of professional software engineering experience, with demonstrable frontend depth
• Strong React and TypeScript — this is your primary toolkit and you are genuinely comfortable owning a complex clinical UI in it
• Experience building clinician-facing interfaces — radiology, cardiology, clinical workflow, or similar regulated environments
• Solid backend/API integration skills — you can consume and shape APIs, handle edge cases, and reason about data integrity
• Working knowledge of at least one healthcare interoperability standard (FHIR or HL7 v2)
• Strong testing discipline — rigorous handling of edge cases, error states, partial results, and latency in clinical UIs
• Ability to operate in a regulated environment — requirements traceability, change impact analysis, validation support
• Direct experience collaborating with clinical stakeholders to define and refine workflows

Nice to Have:

• DICOM-SR, SEG, or Presentation State familiarity — structured reporting, segmentation, or image overlay concepts
• Experience embedding or launching medical viewers (OHIF/Cornerstone, HTML5 viewers, iframes) using secure messaging protocols
• Java and Spring framework experience
• Prior integration with commercial reporting or dictation tools (Nuance, M*Modal)
• DICOM protocol knowledge (C-STORE, C-FIND, DICOMweb)

Why This Role

This is not a role for someone who wants to delegate the frontend work. Our team needs someone who is excited to get into the details — pixel-level UI decisions, clinical edge cases, the nuance of how a cardiologist actually reads a report — and who takes pride in getting that layer right. If you've built clinical workflow UIs before and want real ownership of a product used directly in patient care, this is the role.

 Why you should apply:

• PURPOSE: Cleerly’s purpose is to create a world without heart attacks. With our new paradigm for precision heart care, we will leave big footprints in the sands of time. Help us make that a reality!
• COMMUNITY: We are building a truly world class team of talented problem solvers. While we have diverse backgrounds, we are united in our commitment to each other, to our customers, and to the patients our technology serves.
• GROWTH: We prioritize learning and growth. As a rapid growth company, there is always space for new challenges and responsibilities. And, through Cleerly U, we invest in the development of our team.
• OWNERSHIP: Everyone on the team contributes to our success, so everyone has equity in the company through our employee stock option incentive plan.
• BENEFITS: Cleerly offers a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. Our 401(k) program helps you invest in the future.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $175,000 - $201,000
• TTC: $200,000 - $231,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

Fivetran is looking for a Senior Staff Software Engineer enthusiastic to join our fast-growing company. Database Team with a focus on SQL Server, Oracle binary log reading and change data capture, you will be responsible to help build new features of our data pipeline service, help improve our software architecture, and maintain reliable operation of the service. We're looking for someone who wants to learn and apply the key values that make our product great, dive deep into complex investigations into database transaction logs, binary log parsing, data replication and build a world class ELT solution for SQL Server or Oracle systems.

Fivetran is the epitome of data-driven-development — our engineering team is focused on building a world class product that:

• Facilitates Data Analytics — join our mission to reliably deliver best-in class schemas, and clean data, designed to be intuitively useful to analysts.

• Contributes to our Community — help develop tools like Data Lakes, SQL-based Transformations, and schema explorers to empower analysts to choose the best tools, and to make those tools more powerful.

• Is Absolutely Dependable — work to make Fivetran the most reliable and secure component of our customers’ data infrastructure.

We emphasize using no-nonsense code, and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, C, Postgres, and Kubernetes, and our front-end is built on React and Typescript.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java, SQL Server, Oracle, SQL, Kubernetes

What You’ll Do

• SQL Server and/or Oracle Binary Log Reading: Develop and implement strategies for reading SQL Server or Oracle binary logs to enhance data replication accuracy and efficiency.
• Reverse Engineering Database Binary Logs: Utilize reverse engineering techniques to understand and improve upon the database binary log structure for better data integrity and replication performance.
• Dive Deep into Data Replication: Debugging and analyzing existing code that is in use by hundreds of customers today, including those operating the largest SQL Server clusters.
• Analyze New Features: Analyze new features introduced by SQL Server and/or Oracle in recent releases and determine how to develop supporting features.
• Contribute to Maintenance and Improvement: Participate in the maintenance and improvement of existing connectors; call for improvement in all areas of Fivetran's codebase and infrastructure.
• Cloud and Scale: Be a part of the process to move a high-performance client-side service to the cloud and operate at scale.
• Software Designs and Technical Roadmap: Develop software designs and a technical roadmap for the team. Also collaborate with Database Group leadership in helping craft the rolling 12 month technical roadmap for the organization.
• Assist Customer Success and GTM Teams: Work closely with the Customer Success and Go-To-Market (GTM) teams to assist in challenging customer situations. Provide technical expertise and solutions to ensure customer satisfaction and support Fivetran's growth objectives.

Skills We’re Looking For

• 10+ years programming in Java, C or C++ languages, with a strong background in SQL Server.
• Experience with SQL Server and/or Oracle binary log reading and the ability to reverse engineer database binary logs.
• Writes well-structured and performant code
• Be able to solve critical problems for our largest customers to minimize impact. 
• Be able to dive into code that has been previously written and suggest improvements.
• Understand and can explain how to build high performance systems and processes.
• Able to define project requirements and be proficient at designing software and infrastructure.
• Enjoy mentoring and growing junior develops.
• Have an analytical mindset that helps you identify design flaws in existing systems and come up with improvements.
• Experience understanding customer requirements and/or problems and breaking them down into engineering tasks.

Bonus Skills​

• Advanced knowledge in reverse engineering, particularly with database systems.
• Experience in working with open source projects with other collaborators.
• Experience in data processing (ETL, ELT) and/or cloud-based platforms.
• Experience in designing and developing file, event, application, or database connectors.
• Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, Docker, BuildKite, or similar technologies.

#LI-HYBRID #LI-AM1

OUR MISSION 

The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all. 

OUR VALUES 

Be the Offset.  We create asymmetric advantages with creativity and ingenuity 

What would it take?  We challenge assumptions to deliver ambitious results 

It’s the People. Our team is our competitive advantage, and we are better together 

YOUR MISSION 

True Anomaly operates across Azure, AWS, their GovCloud variants, on-premises facilities, classified environments, and customer-deployed infrastructure. As Senior Manager of Infrastructure Engineering, you will own the compute platform that ties all of it together: Kubernetes, networking, CI/CD, cloud infrastructure, and the government-accredited environments that the company deploys into. Your team will grow initially to 6 then further as the company breaks out dedicated subteams for SRE, network engineering, developer productivity, and incident management. The infrastructure you build will serve every program in the company, directly displace subcontractor engagements that currently cost millions per program, and form the foundation of True Anomaly’s accredited compute platform. This role requires someone who can operate across the full breadth of infrastructure disciplines, make sound architectural calls in classified and unclassified environments, and build a team that scales with an aggressive growth trajectory. 

RESPONSIBILITIES 

• Build and lead the Infrastructure Engineering team: initially 3 Senior Engineers (Kubernetes/platform reliability, networking, CI/CD/cloud), growing into dedicated subteams as the organization scales 

• Own the compute platform strategy across commercial, CUI, and classified environments, delivering standardized infrastructure that any program can deploy onto instead of building from scratch 

• Deliver government-accredited compute environments (IL-5, IL-6) using internal engineering capacity, replacing the current model of outsourcing each new accredited environment to subcontractors 

• Drive Kubernetes standardization, multi-tenant cluster design, service mesh, and workload orchestration across the company’s multi-cloud and on-premises footprint 

• Partner closely with the Staff/Principal Platform Engineer and Staff/Principal Network Engineer (who report to the VP) as the senior technical anchors for compute and networking architecture 

• Collaborate with Cybersecurity on hardened infrastructure (STIGs, security scanning, network segmentation) and with AI and Data Engineering on the compute and networking layer their platforms run on 

QUALIFICATIONS 

• 10+ years of experience in infrastructure, platform, or systems engineering, with 3+ years leading infrastructure teams across multiple technical disciplines 
• Active U.S. security clearance, such as Secret, Top Secret or TS/SCI clearance 

• Deep hands-on expertise in Kubernetes, container orchestration, and cloud infrastructure (AWS, Azure, or GovCloud variants) at production scale 

• Working knowledge of networking across complex environments: multi-cloud, on-premises, VPNs, firewalls, and network segmentation across classification boundaries 

• Direct experience building or operating DoD accredited environments (IL-4/IL-5 or higher), with familiarity with NIST 800-53, STIGs, RMF, and the ATO process 

• Experience with CI/CD platform design and infrastructure-as-code practices at scale (Terraform, Ansible, or similar) 

• Track record of building and leading engineering teams in high-growth environments where the infrastructure had to scale faster than the headcount 

PREFERRED SKILLS AND EXPERIENCE 

• Experience in aerospace, defense, or national security technology companies where infrastructure spans classification levels 

• Background managing teams that operate across both unclassified and classified environments with mixed clearance requirements 

• Experience with service mesh (Istio, Linkerd), GitOps workflows, and developer platform tooling 

• Prior experience at a high-growth company where a single infrastructure team covered multiple disciplines before specializing into subteams 
• Familiarity with platform engineering “paved roads” operating models that balance standardization with engineering team autonomy 

COMPENSATION  

• Base Salary:   Long Beach - $165,000 to $230,000, Denver - $160,000 to $220,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS 

• Active U.S. Secret clearance required; Top Secret preferred; must be able to obtain TS/SCI 

• Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA  

• Work environment is in a standard office, working at a desk or in a production factory. 

• Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. 

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT 

1. AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. 

YOUR MISSION

True Anomaly is seeking a talented and driven Electrical Engineer II to support the rapid design, development, and testing of high-reliability electrical systems for our spacecraft programs. In this role, you will execute across the full hardware development lifecycle — from requirements capture and schematic design through bring-up, integration, and production — while collaborating closely with cross-functional engineering teams. You will bring hands-on technical depth, a strong sense of ownership, and the initiative to contribute meaningfully from day one. 

RESPONSIBILITIES

• Execute requirements capture, component selection, analysis, schematic capture, prototyping, bring-up, debugging, documentation, manufacturing, and test for electrical designs 
• Support the rapid design, development, and testing of high-reliability electrical systems for spacecraft engineering and development efforts 
• Collaborate with system architecture development across cross-functional teams 
• Participate in preliminary and critical design reviews to support program requirements 
• Conduct derating analysis and worst-case circuit analysis 
• Support system-level integration of electrical subsystems, including hardware and software interfaces 
• Perform first article testing, unit-level testing, and production testing 
• Contribute to the development and execution of validation and qualification testing campaigns to ensure reliable hardware 
• Develop and maintain documentation for electrical systems and components, including design specifications, test plans, and operating procedures 
• Support hardware through production, integration, and launch 
• Collaborate with experts from other teams and departments to improve system efficiency, manufacturability, and reliability, and to ensure compliance with relevant industry standards and quality assurance processes 
• Contribute to continuous improvement of electrical engineering processes and practices 

QUALIFICATIONS

• Bachelor's degree in Electrical Engineering or related field 
• 2-4 years of professional experience in electrical engineering 
• Proficiency with PCB design in Altium Designer or equivalent 
• Solid understanding of applicable codes and standards including PCB and PCBA design 
• Strong written and verbal communication skills 

PREFERRED SKILLS AND EXPERIENCE

• Master's degree in Electrical Engineering or related field 
• Experience with spacecraft electrical system design and testing 
• Familiarity with spacecraft power systems, avionics, and communication subsystems 
• Knowledge of industry standards and regulations related to spacecraft electrical systems 
• Embedded firmware development experience 
• Experience with simulation tools such as SPICE, MATLAB, and Simulink 
• Knowledge of IPC standards and specifications including IPC-610, IPC J-STD-001, and other relevant PCB design and assembly standards 
• Experience working in a fast-paced, startup environment or a similarly dynamic setting 

COMPENSATION

• Base Salary: $90,000-$135,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. 

ADDITIONAL REQUIREMENTS

• Ability to maintain or obtain TS//SCI clearance 
• Work Location—this role will be onsite at either our Centennial, CO or Long Beach, CA locations, with travel to other sites as needed.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability.