About the opportunity

The Customer Insights & Adoption (CIA) team is hiring a senior architect to lead internal technical enablement across Contentful’s product portfolio and recommended ways of building. You will serve as a deeply technical, highly cross-functional subject matter expert who empowers internal teams, customers, and partners to adopt Contentful with confidence and consistency. You’ll apply your industry experience, consultative leadership, and passion for teaching to build scalable programs and toolkits that drive a shared understanding of what good looks like, inform product innovation, and guide business strategy.

What to expect?

• Own and evolve internal technical enablement on Contentful product features, implementation patterns, and best practices for the Customer Experience organization (e.g. Customer Success Management, Professional Services, Learning Services, Customer Support Engineering) and cross-functional teams (e.g. Sales Engineering, Partnerships)
• Serve as a company-wide Contentful subject matter expert by engaging closely with internal teams to develop prescriptive implementation guidance and synthesize it into workshops, enablement materials, tools, examples and other resources
• Establish a strategic, scalable technical enablement practice that supports continuous education, centralized knowledge sharing, and consistent understanding across teams, customers, and solution partners
• Collaborate with Product, Product Marketing and Demo teams throughout the product development lifecycle to evaluate new features, provide actionable feedback, and influence decisions as a trusted advisor
• Coordinate closely with Professional Services to translate customer implementation insights into impactful enablement content; coordinate with Learning Services and Developer Experience to ensure messaging and guidance are aligned across courses, training, and documentation
• Create, curate, and maintain a library of enablement materials including feature usage guidance, prescriptive patterns, use cases, discovery questions, and architectural recommendations
• Develop and deliver internal workshops and technical training that effectively support both technical and non-technical audiences; model excellent virtual facilitation and learner engagement techniques
• Contribute to and help lead strategic enablement initiatives, such as starter kits, maturity models, trial environments, and other cross-team projects that strengthen our internal, customer, and partner ecosystem
• Support Customer Success Managers and Partner Managers as a technical advisor during select customer and partner engagements, providing clarity on architecture, implementation decisions, and best practice adoption

What do you need to be successful?

• 6+ years of experience in solutions architecture, technical consulting or a similar technical role, ideally in a digital experience platform environment or solution services agency
• Deep familiarity with content management systems, composable architecture, and modern web development patterns (e.g. headless CMS, API-first)
• Practitioner-level code proficiency, including comfort working with modern web frameworks (e.g. React, Next.js), APIs, SDKs, and developer tooling, with the ability to critically evaluate implementation approaches
• Proven ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences, including in writing, workshops, and live facilitation
• Strong track record of building and scaling technical enablement programs, knowledge bases, or enablement practices in a cross-functional environment
• Experience working closely with Customer Success, Professional Services, Sales Engineering, or Partner teams in a customer-facing or internal advisory capacity
• Excellent consultative and communication skills, with the ability to influence stakeholders and drive alignment across teams
• Demonstrated ability to synthesize customer and field insights into prescriptive patterns, architectural recommendations, and reusable enablement assets
• Comfortable taking ownership of strategic initiatives from ideation through execution
• Experience designing and delivering engaging virtual training and workshops with strong learner engagement techniques
• Collaborative mindset with a passion for teaching, knowledge sharing, and elevating the technical capability of those around you

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 05/17/2026

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: $149,000- $200,999

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

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.

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

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 

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. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith.
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $120,000 - $175,000.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Denver office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Denver base salary range for this role is $175,000 - $250,000.