Senior Backend Engineer

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT THE WORK This position is on our Applied AI team, which is responsible for helping Honor safely and pragmatically apply AI across our operating model, product systems, and internal workflows. The mission of the Applied AI team is to help Honor become an organization that learns faster, remembers more, and continuously compounds what it learns over time. We believe the most valuable use of AI at Honor is not isolated task automation, but building durable organizational intelligence: systems that retain operational context, surface relevant prior learning, support better decisions, and help teams turn fragmented insights into repeatable improvements. Honor operates in a deeply relationship-driven industry. The best home care operators personalize service because they remember the details, understand context, and adapt to the situation. At Honor’s scale, that requires thoughtful systems: reliable context, governed access, reusable AI patterns, traceable workflows, and product experiences that help humans and agents make better decisions together. As a Senior Engineer on Applied AI, you will help design, build, and productionize the foundations that make this possible. You may work on systems that power AI-assisted sales follow-up, operational defect analysis, reusable memory and retrieval patterns, internal agentic tools, AI-powered data analysis, schedulable workflows, or closed-loop feedback systems that connect audits, product changes, and measurable business outcomes. You will work closely with engineering, product, design, data, operations, security, and business stakeholders to move quickly while maintaining the discipline needed for production systems. This team is highly exploratory, but the work is not a lab exercise. We are looking for engineers who can turn ambiguous AI opportunities into safe, reliable, measurable product and platform capabilities. We have an exciting runway ahead of us. As AI becomes an operational layer across Honor, we need engineers who can help create the paved roads: secure model access, compliant data pathways, observability, cost controls, evaluation patterns, human-in-the-loop workflows, and reusable architecture that allows teams across Honor to adopt AI without creating long-term fragmentation. ABOUT YOU * You thrive in a diverse, cross-functional team, collaborating with design, product management, data, operations, security, and other engineering teams. * You are excited by ambiguous, high-leverage problems where the right answer requires both technical judgment and operational empathy. * You enjoy building production-grade systems that connect user-facing workflows, backend services, data pipelines, and AI/LLM capabilities. * You’ve built and maintained production-grade features in Python, or have transferable experience in common languages like Node.js and are willing to learn Python. * You know how to design reliable data models and have used relational databases at scale. * You have been a key contributor to the design and implementation of large, complex projects. * You are comfortable working in and refactoring legacy, monolithic systems while also designing new services and integration patterns. * You are a strong communicator, both verbally and in writing, and can explain technical tradeoffs to technical and non-technical audiences. * You think carefully about quality, observability, privacy, security, and operational risk. * You are excited to work with AI systems in a way that is pragmatic, measurable, and grounded in real business outcomes. * You are willing to participate in an on-call rotation in collaboration with our tier 1 support team. SOME, OR ALL, OF THESE ARE TRUE * You have experience building LLM-powered products, AI agents, retrieval systems, memory systems, or evaluation frameworks. * You have worked with model providers or platforms such as AWS Bedrock, OpenAI, Gemini, Anthropic, or similar systems. * You have experience with secure data access patterns, RBAC, auditability, or compliant data workflows. * You have built internal tools, workflow automation, or systems that support operations teams at scale. * You are comfortable working with messy operational data and turning it into reliable product or platform capabilities. * You have experience designing systems that involve human-in-the-loop review, feedback loops, or measurable quality improvement. * You are knowledgeable about microservice architecture and best practices. * You have experience working with an RPC architecture. * You are comfortable with frontend development and have experience with JavaScript frameworks like React. * You have experience leveraging observability and monitoring tools like DataDog. * You enjoy mentoring and spreading knowledge to other engineers. * You are energized by building foundations that help other teams move faster and more safely. TECH YOU MAY USE * Python * Thrift * MySQL * AWS * AWS Bedrock * OpenAI, Gemini, Anthropic, or similar model platforms * JavaScript * React * Looker * GitHub * DataDog * Internal agentic tools and workflow automation platforms   #LI-Remote Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $160,000—$180,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT HONOR Our mission is simple: change the way we care for our parents so they can age safely at home. How we accomplish that mission is anything but simple. Delivering reliable home care requires coordinating people, schedules, geography, skills, preferences, and changing needs across a complex operating environment. Honor combines technology, operations, and the local expertise of our partner agencies to improve how care is delivered at scale. Our platform supports the caregivers who provide care, the teams who coordinate it, and the families who depend on it. We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges. ABOUT THE ROLE You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions. This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes. You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach. WHAT YOU’LL DO * Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact. * Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability. * Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work. * Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration. * Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems. * Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach. EXAMPLES OF PROBLEMS YOU MAY SOLVE * Improving caregiver-client matching while balancing fit, continuity, availability, and travel. * Building more reliable and sustainable schedules for caregivers and clients. * Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact. ABOUT YOU * 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams. * Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes. * Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all. * Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight. * Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems. * Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor. * Can communicate clearly with technical, operational, and executive audiences. * Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view. * Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture. HELPFUL EXPERIENCE Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation. A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact. WHY THIS ROLE IS DIFFERENT Many companies have interesting datasets. Honor has a dynamic operating environment in which technical decisions directly affect caregivers, care teams, families, and older adults. The opportunity is to build systems that do more than predict outcomes. They will help Honor decide what to do next, execute more effectively, and continuously learn from the results. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $228,600—$254,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.