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Manage patient check-in/out, appointment scheduling, cash collections, and maintain accurate patient records and referrals. | High school education with 1+ year healthcare service experience, proficiency in PC skills and medical terminology, and multitasking ability. | At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together. Duke Health Integrated Practice Duke Health Integrated Practice comprises more than 110 primary and specialty outpatient clinics, extending the reach of the Duke Health mission across the state of North Carolina. JOB LOCATION Duke Orthopaedics of Raleigh - 3480 Wake Forest Rd JOB SUMMARY We are seeking a Patient Service Associate to serve as the first point of contact for our patients upon arrival for appointments. This role includes participation in a variety of duties associated with daily clinic preparation process, patient identification, patient check in/out, charge posting, cash management and patient appointment scheduling. JOB DUTIES AND RESPONSIBILITIES Schedule Patient Appointments Check-In patients upon arrival/Check-Out patients upon appointment completion Collect patient co-payment and/or balance due on account upon arrival Create and attach referrals/authorizations for visits Prepare for clinic visits by reviewing next day patients and completing all preparations activities required per physician Maintain and distribute all faxes received File/Scan history sheets/ancillary reports and all other required patient record documentation Answer telephone appointment line/main line (Disseminate messages according to practice communication standards) Complete all Maestro Care check in alerts at all times. Audit encounter forms for completeness and accuracy JOB ELIGIBILITY REQUIREMENTS Work requires knowledge of basic grammar and mathematical principles normally acquired through high school education. Minimum of one year of work experience in directly communicating and providing service to patients or public; preferably in a healthcare related field. Experience in effectively coordinating multiple tasks or activities. Ability to communicate professionally, in both verbal and written communication. Basic PC and data entry skills. Knowledge of medical terminology. Ability to organize and prioritize work and work effectively under stressful situation. JOB HOURS The schedule for this position is day shifts, Monday-Friday, with no weekends or holidays. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

Design and maintain core frameworks and developer tooling to support AI automation scaling and lead initiatives improving system reliability and developer experience. | 8+ years software engineering experience building internal frameworks and backend systems with proficiency in Kafka, Kubernetes, and cloud security fundamentals. | About Luminai Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs. Luminai structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, Luminai allows doctors and administrators to do what they do best: Focus on Patients. We've raised $60M in funding, including our recent Series B led by Peak XV Partners (formerly Sequoia India), with participation from healthcare-focused Define Ventures and continued support from General Catalyst and Y Combinator. We're backed by some of the best investors in Silicon Valley, including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter), and CEOs of companies such as Flexport, Notion, Front, Ramp, and Twitch. Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Fransisco, California or New York, New York. About the role As a Staff Software Engineer working on Platform, you will play a foundational role in designing, implementing and spearheading the core platform development. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. As a senior member of the engineering team, you are expected to have a strong proficiency in fundamentals of software engineering and exceptional ability to drive technical projects in ambitious technical environments. You will help define, architect and improve key system foundations that allows the overall engineering team to execute effectively and deliver a stellar platform experience for users within a high growth team. What You'll Do Design and maintain the core frameworks, libraries, and shared packages that product engineers build on every day Own developer experience end to end, including local dev environments, build systems, CI/CD, test infrastructure, and time-to-first-commit for new hires Build and maintain the tooling that keeps quality high without slowing anyone down: linters, formatters, static analysis, codegen, and automated checks Find and remove the bottlenecks in how we ship, then re-architect foundational abstractions to hold up as the team and the product scale Lead core technical initiatives that set the quality bar in the codebase Define and scale experimentation, monitoring, reliability, and observability for production systems Drive improvements to the core Luminai IDE to deliver a great experience for end users Set sane defaults for how the platform handles access control, secrets management, and authentication, so the systems others build on are safe without extra effort What We're Looking For 8+ years as a software engineer, including zero to one projects you drove from scratch Track record of shipping high-quality code on hard problems Experience building internal frameworks, libraries, or developer tooling that other engineers depended on, and a real interest in making them better Direct experience designing high performance backend systems in production, with judgment about the architectural trade-offs involved Working familiarity with a modern infrastructure stack (Kafka, Kubernetes, or similar) Solid grasp of security fundamentals for backend and cloud systems (authN/authZ, secrets management, encryption) Bonus Familiarity with frontend foundations (JS toolchain, bundlers, build systems). Not required, but useful for platform work that reaches into the client

Design, build, and maintain full-stack services and APIs for 401(k) management, collaborating with product and operations teams to ensure reliability and observability. | 8+ years software engineering experience with strong backend framework skills, message-based systems, GraphQL, React, and end-to-end system ownership. | About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy. AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: You’ll be a key engineer focused on building and owning the systems that allow tens of thousands of businesses to offer and manage 401(k)s. This is a very hands-on role: owning full stack services and APIs end-to-end, shipping production code, and evolving the architecture to support future needs. You’ll partner closely with product, compliance, and operations to turn complex financial requirements into reliable software. If you like solving hard problems and having a real impact on people’s lives, then we want to work with you. About the Team: The Core 401(k) team makes offering a 401(k) to employees a no brainer for every company. We’re responsible for ensuring companies don’t have to think about complex laws, rules, and regulations. We build features and capabilities for small businesses that are often unavailable through legacy providers. What we do matters. Hundreds of thousands of people are trusting us with their retirement, and that’s something we never lose sight of. Here’s what you’ll do day-to-day: Design, build, maintain, and ship services and features that allow companies to offer and manage 401(k)s to their employees. Identifying opportunities to extend and modify the architecture of existing systems to support new capabilities Identify, codify, and evangelize engineering best practices Partner with product, design, and operations to scope work and deliver production-ready solutions. Debug production issues and improve reliability, observability, and operational tooling. Collaborate with other engineering teams to integrate with shared systems and platforms. Write clear, reliable, well-tested code that ships quickly and scales well. Here’s what we're looking for: 8+ years of software engineering experience building and shipping production products or platforms. Comfortable working across teams and gaining influence to drive projects forward. Strong experience with services and APIs. Strong experience with message based systems (Sidekiq, SQS, NServiceBus, etc.) Experience with GraphQL. Good experience with large modern frontend applications (like React). Comfortable owning systems end-to-end, including production support and operational work. Experience working closely with PMs and cross-functional partners to deliver scoped work. Pragmatic, execution-focused approach to engineering. Comfortable working with and influencing other teams to maximize impact Clear communicator and collaborative teammate. Experience with Ruby on Rails (or a comparable backend framework). Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & 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. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Design and deliver production-grade AI and agentic systems, own architecture, observability, and cost management, and collaborate with product and engineering teams. | 6+ years software engineering with 2+ years shipping production LLM or ML systems, strong Python and cloud infrastructure skills, and experience with agentic workflows and retrieval systems. | Who We Are Maxwell is a mortgage technology and fulfillment company on a mission to make lending simpler, faster, and more accessible. Our platform powers hundreds of lending institutions across the country, from independent mortgage banks and credit unions to community banks. Our mortgage Point of Sale is our flagship product, supported by loan origination, document intelligence, and private-label fulfillment capabilities. We are a remote-first team that takes craft seriously and moves with intention. We are building a cutting-edge AI company in mortgage technology. Our document intelligence capabilities are live in production today. This role exists to accelerate what we have and ship the next generation of AI and agentic systems. Who You Are You are an applied AI engineer who ships. You have taken LLM-based systems and agentic workflows from prototype to production, and you know what that requires: evals, observability, cost management, latency tuning, error handling, and iteration. You have opinions about agent frameworks and architectures, built from what you have shipped. You are also pragmatic enough to pick the right tool for the job rather than force a favorite into every problem. You read new research, try new approaches, and form your own view on what holds up in production. You work across the stack. You can design a retrieval system, wire up tool calls, build an eval harness, debug a production outage, and explain your choices to a product manager or an executive in the same day. What You Will Own Your scope from day one includes: Design and delivery of production AI and agentic systems across document intelligence, workflow automation, and copilots Architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation Evals and observability for production AI. You own how we know the system is working and how we catch it when it is not Cost and latency management at production volume Partnership with AI product on scoping and sequencing features Partnership with data engineering on the pipelines, schemas, and data quality your systems depend on Technical mentorship of other engineers working on AI-adjacent systems Vendor and model evaluation, including POCs, benchmarks, and cost-performance tradeoffs Must Haves 6+ years of software engineering experience, with at least 2 years focused on shipping production LLM-based or ML systems. Demonstrated experience building and deploying agentic systems, including tool use, orchestration, and multi-step workflows. Strong Python proficiency, including production-grade code quality, testing, and deployment practices. Hands-on experience with LLM APIs (Anthropic, OpenAI, AWS Bedrock, or similar), including prompt design, structured outputs, and function calling Production experience with evals and observability for LLM systems. You know how to measure accuracy, detect regressions, and monitor drift. Experience with retrieval systems (RAG), vector databases, and embedding models. Fluency with cloud infrastructure (AWS preferred), including serverless, containers, and API design. Clear written and verbal communication skills with the ability to write design docs,.explain tradeoffs, and collaborate with product and engineering peers. Ownership mindset - Ships work end-to-end rather than handing off. Nice to Haves Fintech, mortgage, or regulated industry experience Experience with document AI, OCR pipelines, or structured extraction workflows Familiarity with AWS Bedrock, SageMaker, or equivalent cloud AI services Experience with modern agent frameworks (LangGraph, CrewAI, AutoGen, custom) and a clear point of view on when each is appropriate Experience with modern data warehouses (Snowflake, BigQuery) and transformation tools (dbt) Contributions to open source AI or ML projects Experience operating production systems on-call What Success Looks Like Within 60 days, you have shipped a meaningful improvement to an existing AI capability or a new one into production Within 90 days, evals and observability are in place for the systems you own AI systems run reliably at production volume with predictable cost and latency Other engineers on the team ship AI work faster and with higher quality because of the patterns and tooling you have established You are the person product and engineering leadership trust to give a straight answer on what is shippable, what is not, and what it will take Salary Band: $90,000 – $150,000 (depending on experience and location)

Design and deliver production-grade AI and agentic systems including document intelligence and workflow automation. | 6+ years software engineering with 2+ years building production LLM/ML systems, strong Python, cloud infrastructure, and retrieval systems experience required. | You’re Opportunity: At PLACE, we’re building a category-defining company at the intersection of real estate, technology, business services, and the consumer. As a profitable, hypergrowth startup on the path to an IPO, our standards are high, our team is scrappy, and our commitment is to execute the best work of our lives. This is YOUR CHANCE to shape the future of AI-powered mortgage technology. As our Director, AI Product, you’ll partner with Product, Engineering, Customer Experience leaders, and executives to define and execute an AI product strategy that transforms how lending teams and borrowers interact with the mortgage process. You will own the roadmap across document intelligence, workflow automation, and data-driven decisioning—embedding AI directly into our Point of Sale experience. If you thrive in ambiguity, ship fast, and believe in scaling impact through AI, this is your PLACE. Who Develops You: Head of Product What You’re Great At: You are an applied AI engineer who ships. You’ve taken LLM-based systems and agentic workflows from prototype to production and understand what it takes to make them work in the real world—evals, observability, cost control, latency tuning, and continuous iteration. You have strong opinions on architectures and frameworks, shaped by hands-on experience, but you stay pragmatic—choosing the right tool for the problem rather than forcing a preferred approach. You stay current with emerging research and quickly translate what’s promising into production-ready solutions. You operate across the stack. You can design retrieval systems, implement tool use and orchestration, build evaluation harnesses, debug live issues, and clearly explain tradeoffs to both technical and non-technical stakeholders. You take full ownership and are driven by delivering systems that are reliable, scalable, and impactful. Must-Have: 6+ years of software engineering experience, including 2+ years building and shipping production LLM/ML systems Proven experience designing and deploying agentic systems (tool use, orchestration, multi-step workflows) Strong Python proficiency with production-grade coding, testing, and deployment practices Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic, AWS Bedrock), including prompting, structured outputs, and function calling Deep experience with evals and observability for LLM systems (accuracy measurement, regression detection, drift monitoring) Experience building retrieval systems (RAG), working with vector databases and embedding models Solid cloud infrastructure experience (AWS preferred), including APIs, containers, and serverless architecture Strong system design mindset across LLM architecture (retrieval, memory, orchestration, tool use) with pragmatic tool selection Ability to manage cost and latency tradeoffs in production AI systems Clear communicator who can write design docs, explain tradeoffs, and collaborate cross-functionally Ownership mindset: ships end-to-end and operates effectively in production environments Bonus if you have: Experience in fintech, mortgage, or other regulated environments Background in document AI, OCR pipelines, or structured data extraction Familiarity with AWS AI services (e.g., Bedrock, SageMaker) Experience with modern agent frameworks (e.g., LangGraph, CrewAI, AutoGen) and when to use them Experience with modern data stacks (e.g., Snowflake, BigQuery, dbt) Contributions to open source AI/ML projects Experience supporting production systems on-call What You’ll Do: Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots Own architecture decisions for LLM-based systems, including retrieval, orchestration, memory, tool use, and evaluation Build and maintain evals and observability frameworks to ensure system quality, reliability, and performance Optimize systems for cost and latency at production scale Partner closely with AI Product to scope, sequence, and deliver high-impact features Collaborate with Data Engineering on pipelines, schemas, and data quality foundations Mentor engineers working on AI-adjacent systems and elevate team capabilities Evaluate vendors, models, and tools through POCs, benchmarking, and cost-performance analysis Ship quickly, iterate in production, and continuously improve system performance Salary Range: $90,000-150,000/year, depending on experience Why PLACE: We believe people do their best work when they’re trusted, supported, and surrounded by others who are equally driven. That’s why this role includes a “work from the PLACE you work best” approach—at home, in an office, or on the move. Our competitive benefits include PTO as needed, comprehensive insurance coverage, a 401(k) match, stock option grants, and a stock purchase plan. Every team member is an owner, building the “PLACE” they are proud to call “my company.”

Drive product strategy and roadmap for Python and Java developer tools focusing on AI-powered workflows and GitHub Copilot integration. | Bachelor's degree and 5+ years in product management or software development with strong Python or Java skills and AI-assisted developer tools experience. | Overview AI is transforming how software is designed, built, tested, and maintained. Join our team to shape language-specific GitHub Copilot workflows that empower developers for an AI-first world. We are looking for a Senior Product Manager to drive key initiatives across Python and Java developer experiences. This role will identify the highest-impact problems for developers and translate customer and product signals into a focused strategy for tools and services that support both human developers and AI agents. You will validate that strategy through prototypes, experiments, and measurable product outcomes, helping developers move from intent to reliable software with greater speed and confidence. As an individual contributor, you will collaborate with engineers, data scientists, designers, developer advocates, and product teams across the language and runtime space. You will experiment, learn with customers, and build the next generation of developer tools while ensuring stakeholders understand the strategic direction and the why behind each investment. You will join a team that measures success through customer and business outcomes, builds alongside our customers and the communities we serve, creates leverage through shared context and tools, and learns continuously so everyone can contribute at a higher level. Does this sound like you? You are passionate about programming languages and developer tools. You care deeply about Python and Java developers and understand how they interact with languages, libraries, frameworks, runtimes, and the broader development ecosystem. You think strategically across multiple horizons. You balance a vision for how software development may evolve over the next several years with focused experiments and concrete steps to create customer value today. You are a product builder. You move from customer problem to specification to working prototype, write code when useful, use the experiences you build, and evaluate whether they solve meaningful problems for developers. You are fluent in AI-assisted development. You regularly use tools such as GitHub Copilot to prototype, evaluate, debug, and improve developer workflows. You assess output quality, identify product and technical tradeoffs, and explore how humans and agents can work together effectively. You learn directly from customers and product signals. You engage through customer calls, community conversations, GitHub issues, interviews, user studies, and usage data, then turn those insights into product decisions and measurable improvements. You bring people together around excellent developer experiences. You collaborate across design, engineering, data science, and advocacy, communicate the reasoning behind product decisions, and share what you learn through demos, documentation, technical content, developer events, and community engagement. If many of these sound like you, you may be exactly who we need. Join us to shape the future of development and let’s build the next generation of software for humans and agents. Take the next step and apply now! Responsibilities Here is what you will do and learn to be successful in this role: Drive product strategy: Define and own the product strategy for Python and Java developer tools, language-specific GitHub Copilot developer workflows, and AI-first experiences. Translate the strategy into roadmaps, organizational alignment, measurable success criteria, and go-to-market plans. Innovate and execute: Conduct market and customer research to identify new opportunities and anticipate future developer needs. Partner with engineering on technical product decisions across languages and runtimes, especially for AI-powered experiences that serve both human developers and agents. Apply product and design judgment: Define clear end-to-end experiences, make deliberate tradeoffs, account for edge cases and quality, and focus the team on the opportunities most likely to create meaningful customer value. Collaborate and lead: Partner across disciplines, teams, and organizations to deliver cohesive developer experiences. Champion the needs of Python and Java developers while coordinating with language, runtime, GitHub Copilot, design, engineering, advocacy, and other product partners. Build deep developer empathy: Write code, use daily builds of developer tools, and maintain zero distance to customers through feedback channels, social media, interviews, user studies, and direct engagement with developer communities. Engage customers and communities: Work closely with early adopters and strategic customers to validate direction and identify unmet needs. Partner with advocacy teams on demos, documentation, talks, tutorials, conference planning, and community presence to drive adoption and excitement. Make evidence-driven decisions: Establish metrics and analyze usage data to measure success. Design experiments that validate hypotheses and enable rapid iteration on developer workflows. Use insights to improve product quality, user satisfaction, and investment decisions. Stay current: Track emerging AI and developer tooling trends. Apply what you learn to amplify our team productivity and inform future investments in AI-first developer experiences. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years. Preferred qualifications Proven experience as a Product Manager with a strong technical background, preferably with experience in Python or Java development and interest in developing depth across multiple languages. Demonstrated experience leading product initiatives from concept to launch and through iterations. Strong analytical mindset and experience using qualitative and quantitative insights to guide product decisions. Hands-on experience with AI-assisted developer tools, including GitHub Copilot developer experiences. Interest in coding, language tooling and runtimes, with the ability to engage credibly in technical product discussions. Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Lead design and development of backend and frontend applications collaborating cross-functionally. | 5+ years development experience with Python backend and React frontend, strong communication and analytical skills for remote work. | Job Opportunity: Senior Full-Stack Developer (Focus Backend Python) Location: Fully Remote (PST Timezone) Start Date: ASAP ️ Languages: English required We're growing our team to support the expansion of our internal projects. If you're passionate about building ambitious products in a flexible, fast-paced environment, wed love to hear from you! Your Role As a key member of our development team, you will: Lead the design and development of innovative web and mobile applications. Focus primarily on backend development (70%) in Python, while contributing to frontend tasks (30%) using React and React Native. Architect scalable and reusable backend systems using frameworks like Django or FastAPI. Build robust APIs and ensure high standards of performance, reliability, and security. Collaborate cross-functionally with product managers, designers, and stakeholders from concept to deployment. Optimize application performance and handle challenges related to data processing and system integrations. Conduct code reviews and mentor junior developers, promoting best practices. Use AI tools to streamline development workflows and enhance product features. What Were Looking For Experience: 5+ years in software development, with strong backend expertise in Python and a solid grasp of frontend technologies. Backend: Proficiency with Python, Django/FastAPI, PostgreSQL, Redis, and cloud infrastructure (preferably AWS). Frontend/Mobile: Experience with React, React Native, JavaScript/TypeScript, and knowledge of mobile CI/CD and performance best practices. AI/Automation: Comfort with AI tools to support dev productivity and automation. Problem-Solving: Strong analytical mindset with a track record of solving complex issues and delivering high-quality results. Communication: Excellent written and verbal communication in English, with the ability to collaborate effectively in a remote setup. Product Mindset: Focused on user experience and able to turn business needs into scalable tech solutions. Team Spirit: Self-driven, proactive, and comfortable working in a distributed, agile startup environment. Bonus: Experience in fintech, marketplaces, or scaling products in high-growth startups.

Design and maintain scalable backend services and provide technical leadership across microservices. | 6+ years backend engineering with Java, Python, cloud-native architecture, and strong communication skills. | Remote in EU | Long-term B2B Contract Role Overview We are looking for a deeply hands-on Senior Java Engineer who can provide technical leadership while continuing to design, build and ship production code. You will work across several backend services rather than being assigned to one isolated project. The environment consists of distributed, cloud-native systems, with Java as the primary language and Python used across parts of the wider platform. You will collaborate closely with Product Owners, DevOps engineers and other development teams, helping shape technical solutions across multiple services and translating product requirements into scalable backend architecture. Key Responsibilities: Design, build and maintain scalable backend services and APIs, primarily in Java Write production-quality code as a core part of your daily work Contribute to Python services and codebases when required Work across approximately three to four interconnected microservices Make and influence technical and architectural decisions Break down complex requirements and guide their technical implementation Review code and establish strong engineering standards Mentor engineers and provide technical guidance without formal line-management responsibility Collaborate with Product Owners to evaluate requirements, trade-offs and delivery approaches Build and operate cloud-native services, primarily on AWS Deploy and run containerised applications using Kubernetes and Docker Work with DevOps engineers on CI/CD, deployment, scalability and reliability Use data, analytics and operational insights to support technical decisions Contribute to testing, documentation and continuous improvement throughout the SDLC Support the adoption of AI-assisted engineering tools and solutions where appropriate Requirements: At least 6 years of professional backend engineering experience Strong, recent and hands-on commercial experience with Java Proven experience designing and developing microservices or distributed systems Professional experience contributing to production Python codebases Strong knowledge of AWS and cloud-native application architecture Solid hands-on experience with Kubernetes and Docker Experience designing and integrating REST APIs Good knowledge of SQL and relational databases Practical experience with CI/CD pipelines and modern software-delivery practices Experience influencing architecture or leading technical decisions Ability to review code and mentor other engineers Strong understanding of testing, maintainability and production code quality Comfortable working across several services and technical priorities simultaneously Strong communication skills and the ability to work with both technical and product stakeholders Professional working proficiency in English (C1+) Based within the European Union and able to work on a B2B contract Nice to have: Experience with Azure alongside AWS Experience building or integrating AI-enabled products Knowledge of analytics, data-processing or event-driven systems Experience working in an international, distributed engineering environment Previous experience supporting several engineering teams or product areas What's on Offer: Fully remote work from within the European Union Long-term B2B engagement Hands-on role with genuine influence over technical direction Opportunity to work on AI-powered systems used internationally Collaboration with experienced, multidisciplinary engineering teams More than 20 days of paid time off Apple equipment Training and professional-development budget Diversity and Inclusion Commitment We are dedicated to creating and sustaining an inclusive, respectful workplace for all -regardless of gender, ethnicity, or background. We actively encourage applicants from all identities and experience levels to apply and bring your authentic self to our fast-paced, supportive team.

Lead engineering and product decisions while shipping production code for the iOS app and shaping the product roadmap. | Extensive experience with Swift, SwiftUI, multithreading, SOLID principles, CI/CD, and Git strategies. | 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 App of the Day. 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 With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for Inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, 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 Opportunity to lead key engineering and product decisions Actively shipping production code for the Speechify iOS app Work within a dedicated product team Participate in product discussions to shape the product roadmap Maintain and enhance the existing complex app architecture An Ideal Candidate Should Have Experience. You've worked on products that scaled to a large user base Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Technical skills. Swift, SwiftUI Technical Requirements: Swift Programming Language SwiftUI experience Experience in Multithreading Programming Working with CI/CD infrastructure Experience with Fastlane SOLID principles, the ability to write every single class according to SOLID Experience with Git and understanding of different Git strategies What We offer: A fast-growing environment where you can help shape the company and product An entrepreneurial crew that supports risk, intuition, and hustle The opportunity to make a big impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio 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.

Build and maintain backend services and SDKs for multi-platform product experiences. | Strong systems thinking and experience with Kotlin Multiplatform and cloud infrastructure in a collaborative, fast-paced environment. | Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You’ll Do Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms Ship cloud functions, lightweight backend services, and jobs using Kotlin An Ideal Candidate Should Have Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable. Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs Preferred Tech Stack: Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) Prior experience with GCP is a plus What We Offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. 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.