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Make banking a Fifth Third better® We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank. General Function As a member of an agile squad, responsible for implementing new features and enabling capabilities using modern software engineering tools and practices. Adheres to practices and standards, set by communities of practice, and contributes to a culture of continuous improvement. Shares responsibility and accountability for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Doing the right thing for customers and colleagues ensures that actions and behaviors drive a positive customer experience. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types. Essential Duties & Responsibilities Implement new features while maintaining overall quality of software· Contribute to a culture of learning by documenting and sharing technical knowledge as a developer on an agile squad· Participate in developer communities of practice by following best practices, participating in code reviews, and sharing knowledge· Remain current on relevant technology trends· Participate in researching and resolving customer issues· Other duties as assigned SUPERVISORY RESPONSIBILITIES: None. Minimum Knowledge & Skills Required Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and work experience. Five+ years of IT work experience relevant to the position. Strong problem solving skills. Knowledge of object-oriented design and development experience with one or more of the following programing languages: Swift IOS API - Core Data / Networking / Grand Central Dispatch (concurrent programming) Testing with XCTest Accessibility best practices Experience with version control solutions, preferably Git/GitHub Experience with any of the following, a plus: UX/UI design principles, Apple Human Interface Guidelines· Experience with Design Systems and Design Systems Methodology· AWS services Gradle Microservice design principles Familiarity with relational databases and SQL Nimble Testing Framework· SwiftUI CocoaPods Senior Software Engineer - IOS Developer Total Base Pay Range 71,100.00 - 145,900.00 USD Annual At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day. The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance. Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner. LOCATION -- Cincinnati, Ohio 45202 Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee. Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

We're working with a highly reputable Woman-Owned Small Business that delivers cutting-edge technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. They support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments, partnering with government agencies to provide expertise in cybersecurity operations, cloud modernization, data analytics, and enterprise IT support. The Role Design, develop, test, and maintain native mobile applications for iOS and Android platforms. Build responsive, accessible, and high-performing mobile user interfaces using SwiftUI, UIKit, Jetpack Compose, and Android SDK technologies. Develop reusable modules and manage application dependencies using various package managers and version catalogs. Integrate mobile applications with enterprise APIs, backend services, embedded databases, and structured data formats. Develop and maintain Python scripts to support application automation, data processing, and development workflows. Collaborate with cross-functional teams throughout the Software Development Lifecycle (SDLC). What You'll Need 5+ years of experience developing native mobile applications for iOS and Android. Proficiency with Swift, SwiftUI, UIKit, Swift Concurrency, Kotlin, Jetpack Compose, Android SDK, Jetpack libraries, and Coroutines. Experience managing application dependencies with tools like Swift Package Manager, CocoaPods, or Gradle. Experience working with SQLite and structured data formats within mobile applications. Experience integrating third-party SDKs for authentication, analytics, crash reporting, or push notifications. Familiarity with mobile application release management, app review processes, deployment workflows, and CI/CD pipelines. What's On Offer Opportunity to support critical programs for the Department of Veterans Affairs. Competitive salary range of $100,000 - $110,000 per year. Comprehensive benefits package including medical, dental, vision, 401(k) with company match, and various insurance options. Remote work environment with a focus on work-life balance. Apply via Haystack today!

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Job Description Job Description The Opportunity This position represents the highest legal role within our organization. You will be responsible for overseeing the entire legal and compliance function, which includes legal strategy, adherence to regulations, corporate structure, real estate transactions, and risk management for both our operations and those of our clients. Reporting directly to the CEO, you will collaborate daily with a four-member executive team that values swift decision-maki…

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Adyen is looking for full-time Kotlin Engineers to help us develop our in-person payments solution. We have a large and varied fleet of payment terminals and payment SDKs in the field, which we are continuously improving by adding new features and payment methods. Kotlin development plays a vital role in this effort, as your code will be deployed across our various solutions using Kotlin Multiplatform. What You'll Do As a Kotlin Engineer you will work on solutions for our payment terminals and payment SDKs featuring many capabilities, such as- Accepting payments using credit cards and debit cards, Apple Pay or Google Pay on mobile phones or accepting payments through QR codes Building and maintaining payment features for global merchants Integration with a variety of cash registers using state of the art standards You will be working on developing our main business logic in Kotlin, which will be deployed on both Android and Linux based payment terminals, and on our backend. You will also be contributing to C++ libraries that are central to our payment business logic. Your code is tested using a variety of testing methods. These methods range from unit testing to complete product testing via automated programmable robots in order to offer a stable and feature rich solution to all of our merchants. Who You Are A motivated, enthusiastic team player- collaborate with other engineers, product designers, and business stakeholders Able to provide reliable and clearly understandable code Willing to learn and improve Flexible, open to new ideas Have a keen eye for detail Able to debug and solve problems within the Android application and collaborate effectively on cross-functional issues Proactive in bringing great ideas to improve our solution Enthusiastic to investigate new technical possibilities, yet able to work within existing frameworks Self-disciplined and enjoy working at a fast pace while managing and prioritizing goals Must Have Qualifications +5 years of experience writing code in Kotlin. Proficiency in building software for the Android platform. Experience in development of enterprise level SDKs. Expert level knowledge of Kotlin, Android SDK, Jetpack Compose, Coroutines, Gradle, Dependency Injection Experience writing and maintaining a comprehensive suite of automated unit and integration tests A high level of personal accountability and a blend of strong technical skills, creative problem-solving, and a collaborative spirit Ability and desire to mentor and grow other engineers through code reviews, design reviews, and over-the-shoulder debugging Excellent verbal and written communication skills in English. Good To Know Experience in another non-JVM language, such as C or C++ Experience with building libraries used by other engineers Knowledge about security best practices and standards Experience working with Bluetooth-connected devices Experience working in payment industry (This is a plus, not a must) The annual base salary range for this role is $154,000.00 - $200,000.00; to learn more about our compensation philosophy, please click here. This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you're from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What's next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don't be afraid to let us know if you need more flexibility. This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Software Engineer to join the Identity Decisioning team, responsible for building backend systems that validates consumer identity in all of Affirm's products by satisfying regulatory protocols like KYC. The team partners closely with Product, Compliance, Auth, Fraud, and other engineering teams to deliver honest and transparent financial products that help consumers make their purchasing decisions. As we scale the company to be a cornerstone of all e-commerce and offline retail, it is an exciting time to join the team which sits at the core of this mission. What You'll Do With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field Base Pay Grade - L Equity Grade - USA 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $165,000 - $225,000 USD. USA Sapphire base pay range (all other U.S. states): $146,000 - $206,000 USD. Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Software Engineer to join the Identity Decisioning team, responsible for building backend systems that validates consumer identity in all of Affirm's products by satisfying regulatory protocols like KYC. The team partners closely with Product, Compliance, Auth, Fraud, and other engineering teams to deliver honest and transparent financial products that help consumers make their purchasing decisions. As we scale the company to be a cornerstone of all e-commerce and offline retail, it is an exciting time to join the team which sits at the core of this mission. What You'll Do With the support of your team's tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team's artifacts by creating and monitoring metrics, escalating when needed, and supporting "keep the lights on" & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor's degree in a related field Base Pay Grade - L Equity Grade - USA 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $165,000 - $225,000 USD. USA Sapphire base pay range (all other U.S. states): $146,000 - $206,000 USD. Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

What we are building At ecoplanet, we're redefining energy for tomorrow. Our mission: turn energy management into the competitive edge every European business relies on to win its market. We're building the operating system for the energy transition — cutting energy costs, improving efficiency, and streamlining operations. Backed by EQT Ventures, HV Capital and more, and built by a team full of top-tier talent. Why This Role Matters You will build and run the data backbone the whole product sits on. Meter readings arrive from industrial sites across Europe, through messages or us accessing APIs. Your job is to get that data in clean, on time, and in a shape that dashboards, insights and forecasts can rely on. You will join a team of 12 engineers in two squads. Small team, real ownership, and what you build reaches customers in weeks rather than quarters. What You'll Achieve Meter data integration. Connect industrial hardware and utility data streams into real-time dashboards. Every site is a little different, so a good part of the job is bringing data into a consistent structure across all sites Anomalies and insights. This is where data science comes in. Find the things in the data a customer would want to know about — a meter drifting, a machine left running overnight, consumption that does not fit the pattern — and turn them into something they can act on Tech stack and growth. Support the engineering team building scalable data pipeline What Sets You Up for Success Must have: At least 3–5 years in a data engineering role or something close to it, building pipelines other people depend on Hands-on data science experience. You do not need a research background. You do need to have built and evaluated models yourself: enough to tell a real anomaly from noise, to judge when a finding is solid enough to put in front of a paying customer, and to know what a pipeline owes a model running in production Solid with Python and SQL and cloud data infrastructure. You have designed and run pipelines, APIs and workflows in production Comfortable with high-volume time-series data: ingestion, data quality, backfills, and the everyday reality of late, missing and duplicated readings You think end to end before you go deep. When you hit a hard problem, the first instinct we want is "can a change somewhere else in the chain make this easy?" rather than heading straight into solving the hard version. A company our size cannot afford clever answers to problems that did not need solving Clear written and spoken English. German is a plus Nice to have: Energy, industrial, IoT or another domain where the data comes off real hardware Metering or device protocols, telemetry at scale, or streaming pipelines Knowledge of a second programming language, like TypeScript or Kotlin You run what you build: monitoring, alerting, and the occasional early morning debugging a pipeline What You Get Top-of-market team, flat hierarchy — work alongside people who push you to get better Competitive salary Full ownership from day one — you actively shape our company Close collaboration with our Product team Central office, easy commute — free lunch every Tuesday and Thursday Wellpass membership Regular 1:1s and retros focused on your growth Real impact — your work supports Europe's transition to a smarter energy system The Application We don't do long forms. We don't do generic cover letters. Send us your CV and surprise us. Find Jobs in Germany on Arbeitnow

What we are building ecoplanet builds the operating system for the energy transition. Our software helps European businesses cut energy costs, run more efficiently, and take the pain out of managing energy day to day. We are around 40 people and backed by EQT Ventures, HV Capital and others. Why This Role Matters You build and run the platform the whole product sits on: the event streams, the backend services and the cloud infrastructure everything else is built on. Meter readings arrive from industrial sites across Europe, through messages or us accessing APIs. Your job is to make sure that traffic lands reliably, moves through the system in a shape other teams can build on, and keeps doing so as the number of sites grows. You join a team of 12 engineers in two squads. Small team, real ownership, and what you build reaches customers in weeks rather than quarters. What you will work on Event streaming. Kafka is the spine of the system. You own topic and schema design, partitioning, retention and delivery semantics and the everyday reality behind them: consumers falling behind, replays, backfills, late and duplicated readings. Backend services in TypeScript. The ingestion services, integrations and APIs around that stream. Every site is a little different, so a good part of the job is turning that variety into one consistent interface the product squads can rely on. Cloud infrastructure on GCP . Compute, networking, IAM, infrastructure as code, CI/CD and observability. The goal is a paved road: other engineers ship and debug their own services without going through you. Technical direction. You are senior enough to set it. Where we invest in the platform, what we standardise, what we deliberately leave rough for now and bringing the rest of the team along with it. What Sets You Up for Success Must have: At least 6–8 years building and running backend systems in production, including real time in a platform or infrastructure role that other engineers depended on Strong backend engineering in TypeScript. You have designed, shipped and operated services and APIs in it — not just touched it around the edges of a frontend Hands-on with Kafka in production. Topic design, consumer groups, ordering and delivery guarantees, and what you actually do at 3am when a consumer group is hours behind. A comparable streaming platform is fine if you know it at that depth Solid on GCP or an equivalent cloud: containers, networking and IAM basics, infrastructure as code, CI/CD, monitoring and alerting. You have owned infrastructure, not just deployed onto it Comfortable with high-volume time-series data: ingestion, data quality, backfills, and the everyday reality of late, missing and duplicated readings You have seen a few things. Enough production years behind you to know which trade-offs come back to bite, when the boring option is the right one, and how to make a call with incomplete information instead of waiting for certainty Kubernetes knowledge at the level of running it, not only deploying to it. Clear written and spoken English. German is a plus Nice to have: Energy, industrial, IoT or another domain where the data comes off real hardware Metering or device protocols, telemetry at scale, or streaming pipelines Knowledge of a second programming language, like Python, Go or Kotlin You run what you build: monitoring, alerting, and the occasional early morning debugging a pipeline What You Get Top-of-market team, flat hierarchy — work alongside people who push you to get better Competitive salary Full ownership from day one — you actively shape our company Central office, easy commute — free lunch every Tuesday and Thursday Wellpass membership Regular 1:1s and retros focused on your growth Real impact — your work supports Europe's transition to a smarter energy system Find Jobs in Germany on Arbeitnow

Headquarters: Kitchener-Waterloo, ON; Remote - Ontario; Toronto, ON About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Note: This role can also be performed remotely for candidates located in Ontario, Canada. About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire's ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won't just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow Optimize performance, reliability, and cost of the ML platform Evaluate and integrate emerging Databricks features Stay ahead of the curve by engaging with the latest developments in machine learning and AI Serve as senior ML technical advisor to Faire's data science and production engineering teams Represent Faire at ML conferences and meetups Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes 10-12 years of experience building and improving large-scale ML or data platforms. A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field. Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization Proven ability to design systems that support multiple data science teams and production workloads Strong background in distributed systems, ML infrastructure, and cloud architecture. Demonstrated technical leadership across teams and orgs; ability to influence without authority Experience integrating LLM workflows into enterprise platforms is a plus Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack Faire uses a modern cloud based tech stack. For this role, you'll want to be proficient with the following: Category Technologies Languages Python, SQL, Kotlin ML Frameworks PyTorch, PySpark, MLFlow Big Data & Processing Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL Cloud & Infrastructure AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform Generative AI Claude Sonnet 4.5, ChatGPT 5.2 Salary Range Canada: the pay range for this role is $248,000 to $341,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you'll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog . Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy) To apply: https://weworkremotely.com/remote-jobs/faire-senior-staff-machine-learning-platform-engineer

Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife The Engineering Challenge Our Software Engineers don't just write code, they solve real financial problems for millions of customers. You'll work on distributed systems processing thousands of transactions daily, build resilient services that handle people's money, and create experiences that make traditionally complex financial products feel simple. We care deeply about great engineering, which is why our core stack is Kotlin, running on a modern platform with Kafka, Kubernetes, Docker and AWS Aurora Postgres. But great engineers aren't defined by a single language which is why we are agnostic with our hiring. We want the right people, not the 'right' language, so if you come from a C#/.NET background, bring solid fundamentals, and have an appetite for learning something new, we'll invest in you, help you grow your skills and confidently step into our Kotlin ecosystem. Your Impact Writing clean, reliable and maintainable backend code using Kotlin Working on scalable cloud-based systems within a product-focused Agile team Collaborating with engineers, product managers and designers to build and ship features Taking part in planning, technical discussions and code reviews Building well-tested services and contributing to continuous delivery Taking ownership of your work — from development to production Continuously learning and developing your skills in a supportive environment Your Toolkit You've got some solid hands-on experience with C# but open to learning Java or Kotlin You care about writing good quality code and value clean design and testing You're curious, eager to learn and not afraid to ask questions You enjoy solving problems and working as part of a collaborative team You want to build things that have a real impact on customers You communicate clearly and are happy contributing to team decisions You're excited by modern engineering practices like CI/CD and cloud-native tools Our Engineering Culture Customer impact over unnecessary complexity Team success over individual heroics Operational ownership, not just feature delivery Continuous improvement through honest feedback Added Bonus Experience with fintech or banking is a plus, but we value problem-solvers from all backgrounds #ON-LI1 At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our Manchester office 2-3 days a week. (WeWork, Dalton Place, 29 John Dalton Street, M2 6WF) Please note this office is dog friendly so you might see some furry friends about! You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030 , we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews : please don't use AI . These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other. Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Our Story Hello there. We're Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don't like about finance and does the opposite. We're redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we've built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com ! We're incredibly proud of our achievements and none of it would be possible without the amazing team here. It's not just industry awards we're winning, we've also been named in the top three UK's Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you'll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife The engineering challenge Our Software Engineers don't just write code, they solve real financial problems for millions of customers. You'll work on distributed systems processing thousands of transactions daily, build resilient services that handle people's money, and create experiences that make traditionally complex financial products feel simple. Your Impact Designing, building and running scalable backend systems using Kotlin and AWS Contributing to technical direction, team practices and architectural decisions Collaborating closely with product managers, designers and other engineers Mentoring junior engineers and helping to raise the technical bar Owning your team's code, quality and delivery Taking part in the full SDLC — including operating your own services in production Writing well-tested, clean code Making smart trade-offs between speed, quality and risk to deliver customer value quickly Your Toolkit Strong backend engineering experience using Kotlin or Java in a production environment Passionate about building reliable, high-quality products — not just writing code Comfortable working on distributed systems with scale and complexity Advocates for testing, clean code, and automation throughout the development process Understands trade-offs in product delivery and values pragmatism Enjoys solving problems collaboratively and mentoring others Clear communicator with experience working cross-functionally Excited by fast-moving environments and full ownership of your work Our Engineering Culture Customer impact over unnecessary complexity Team success over individual heroics Operational ownership, not just feature delivery Continuous improvement through honest feedback Added Bonus Experience with fintech or banking is a plus, but we value problem-solvers from all backgrounds #ON-LI1 At Zopa we value flexible ways of working. We value face-to-face collaboration and a good work-life balance. This hybrid role requires you to come to our Manchester office 2-3 days a week. (WeWork, Dalton Place, 29 John Dalton Street, M2 6WF) Please note this office is dog friendly so you might see some furry friends about! You'll also have the option of working from abroad for up to 120 days a year! But no matter where you are, we'll make sure you've got everything you need to thrive, both in your work and home life, from day one. Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments. Our approach to AI in interviews At Zopa, AI isn't something we're testing out — it's part of how we work every day. As a proud partner of Jobs 2030 , we're committed to building AI fluency across our workforce, and we expect Zopians to use AI as part of how they do their jobs. Because of that, we want to be transparent about how we think about AI use during our hiring process. Behavioural and competency-based interviews : please don't use AI . These conversations are designed to understand you — your experiences, your judgment, and how you've approached real situations. An AI-generated answer can't tell us that. What it can do is get in the way of us finding out whether we're the right fit for each other. Technical interviews: it depends on the role. Some technical stages actively welcome AI use, others don't. Your Talent Partner will let you know what's expected at each stage. Where AI is part of the assessment, we'll be interested not just in the outcome, but in how you used it – the tools you chose, your reasoning, and the decisions you made along the way. Find Jobs in United Kingdom on Arbeitnow