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Job Description • Operate and scale services on Kubernetes, • Build backend services and APIs in Python using Flask, • Design reliable background jobs and pipelines with Celery and Redis, • Develop high quality React components and front end features, • Instrument, monitor, and improve performance and reliability, • Collaborate on architecture, code reviews, and technical direction, • Work closely with product and customers Company Benefits • Insurance - we care a lot about the healthcare of our employees. That's why we have a leading insurance package (AXA PPP) that covers everything including mental health, physio and dental treatment., • Work from home friendly - we understand that working from home can boost your productivity. We like a healthy mix between working together and working from home., • Generous vacation - 30 Working days (and an extra half day in your birthday week!) Interview Process • Initial phone interview, • Second technical video interview, • Video interview with another member of the team, • In-person interview with CTO

Build the ML systems that power market leaders Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission-critical decisions across the enterprise. As a Senior Machine Learning Engineer, you will own end-to-end ML systems that power our core product. You’ll design and operate scalable ML data pipelines and agentic workflows, ship production-ready LLM and model-driven features, and help guide how new research and techniques make it into production. This is a role for someone who has shipped ML at scale, wants real ownership, and is excited to help set the bar for a small, senior team. What You’ll Do • Own production ML systems end to end: design, ship, operate, and improve, • Build scalable ML pipelines and agentic workflows you can run and trust at scale, • Develop and ship production-ready LLM- and model-driven features, • Collaborate closely with backend, data, and product teams on ML-powered features and APIs, • Guide the adoption of new ML research and techniques into production systems, • Implement and refine experiment tracking, model CI/CD, and automated retraining, • Raise reliability and observability: drift detection, data quality, and regressions, • Help shape our ML/AI architecture, tooling, and best practices, • Mentor ML engineers through design reviews, pairing, and feedback You Might Be a Fit If... • 5+ years of ML experience, including owning production ML systems end to end, • Strong Python skills and deep experience with ML or LLM-based systems, • Comfortable designing and operating ML pipelines, feature stores, and evaluation at scale, • Familiarity with modern foundation models and agentic patterns, • Helped engineers level up through feedback and standards, • Evaluated new ML/AI approaches and got the best ones into production, • Bias to ship, measure, and refine rather than chase perfect offline metrics, • Motivated by solving real customer problems and seeing models used in the wild, • Thrive without heavy process, QA buffers, or endless safeguards – you own what you ship Why Boam AI • Join a no-politics, high-trust, low-ego, and high-talent team, • Work on mission-critical ML systems used by top-tier enterprise customers, • Work directly with founders and the Head of Engineering on problems that matter, • High autonomy, real impact, and clear ownership from day one, • Operate at the intersection of AI, data infrastructure, and enterprise workflows, • Top-tier compensation with meaningful equity upside, • Help build the ML platform, patterns, and engineering culture you can be proud of Our Hiring Process Our process is fast, structured, and transparent – built to respect your time and surface real mutual fit 1. Intro Call: A short conversation to learn more about you, share context on Boam AI and the role, and answer initial questions, 2. Deep Dive: Walk us through past ML work and systems you’ve led, and how you think about complex, ambiguous modeling and production challenges, 3. Work Sample: Solve a real Boam-style ML challenge that shows your modeling approach, system design thinking, and execution muscle, 4. Founder / Leadership Conversation: Candid discussion with our founder and Head of Engineering on ambition, values, ownership, and how you’d help us scale our ML and agentic systems and mentor the team. Apply between Dec 15, 2025 and Jan 10, 2026. After Jan 10, we’ll review all applications and quickly invite the candidates we’d like to take forward.

Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you. Key responsibilities • Set the technical direction: shape the long-term backend architecture and standards across multiple squads. Make key design decisions on scalability, resilience, and system boundaries, ensuring our platform evolves with clarity and consistency, • Microservices: guide the evolution of our microservices architecture, ensuring best practices in modularity, resilience, observability, and maintainability are applied across teams, • Represent engineering: be the go-to voice for engineering matters in cross-functional forums. Communicate trade-offs, rationale, and technical decisions clearly to both technical and non-technical stakeholders, • Guide teams, don’t just manage them: provide day-to-day technical leadership to 2–3 backend squads. Help make sound technical choices, remove blockers, and ensure delivery aligns with engineering quality, timelines, and product priorities, • Raise the engineering bar: drive consistent engineering practices across squads: testing, documentation, observability, performance tuning, and incident response, • Security: ensure squads implement best practices for securing data, ensuring compliance with industry standards and regulations, • Mentorship & team growth: mentor engineers to grow into stronger technical and people leaders. Help shape career paths, cross-team learning, and ensure we retain and attract top talent Qualifications • 10+ years of experience in engineering, with a strong understanding of modern microservice-oriented architecture, • Proven technical leadership experience, guiding multiple engineering teams in designing, building and operating large-scale distributed systems, • Solid understanding of cloud-native environments, particularly AWS and Kubernetes (K8s), including observability, deployment, and cost optimisation, • Excellent communication and collaboration skills, comfortable engaging with engineers, product managers, and non-technical stakeholders, • Passion for mentoring and growing teams, creating an environment that balances technical excellence with fast, pragmatic delivery Technologies • Back-end: Java 21, Spring Boot, REST, Postgres/Jooq/Flyway, JUnit/TestContainers/Mockito, AWS (EC2, RDS, Cognito, S3, KMS), Containerization (Docker / kubernetes), • Front-end: TypeScript, React, and Tailwind CSS Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles. Sign up now at and let the opportunities come to you.

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: AI Agent Infrastructure Engineer Type: Contract Compensation: $74–$168/hour Commitment: 20–30 hours/week Role Responsibilities • Design, build, and optimize infrastructure for training, deploying, and scaling AI agents across distributed systems., • Develop robust backend services, APIs, and orchestration frameworks that support multi-agent workflows and high-performance compute environments., • Collaborate closely with research and product teams to integrate model-serving pipelines, memory systems, and reasoning components., • Implement monitoring, observability, and failover mechanisms to ensure high system reliability and fault tolerance., • Evaluate and refine infrastructure performance, identifying bottlenecks and improving efficiency across data, compute, and model layers., • Strong background in Computer Science, Software Engineering, or Systems Design., • Experience with cloud computing (AWS, GCP, or Azure) and Docker and Kubernetes., • Proficiency in Go, Rust, Python, or C++., • Excellent collaboration and communication skills., • Familiarity with LLM inference pipelines, multi-agent architectures, or reinforcement learning environments., • Upload resume, • AI interview based on your resume

A fantastic opportunity for a suitably experienced Senior Backend Engineer seeking a role where they can make a real difference. You will help define how AI is safely used in front line healthcare. Our client has closed a $12million Series A fundraise and they're now hiring their second back end engineer to work alongside their extremely experienced Head of Backend and VP of engineering as well as closing working with a team of doctors helping build the next generation of AI powered clinical knowledge tools As a Senior Backend Engineer, you’ll play a key role in building and scaling the core infrastructure that powers our clients platform. This is a hands-on role requiring deep experience in backend engineering, cloud systems, and architectural thinking. Senior Backend Engineer Location: Belfast - Hybrid Salary: £80,000 - £110,00 + Stock Options + Benefits Tech Stack Cloud-native platform. Experience with the following will be highly desirable: • AWS – Lambda, API Gateway, Cognito, S3 and OpenSearch, • Node.js / TypeScript and Python, • DynamoDB and PostgreSQL, • Serverless Architecture and microservices patterns., • Infrastructure tools like Terraform, Docker, and CI/CD pipelines., • Security and compliance practices, especially relevant in healthcare. Responsibilities: • Design and build robust, scalable cloud-first backend systems., • Contribute to infrastructure-as-code practices and DevOps tooling., • Build and maintain LLM-powered features such as RAG pipelines for clinical information., • Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats., • Collaborate closely with our product and frontend teams to deliver high-impact features., • Write clean, well-tested code and guide best practices across the engineering team., • Take ownership of system reliability, performance, and security in a healthcare context. Key Skills: • 5+ years of backend engineering experience in production environments., • Strong AWS proficiency - hands-on experience building and deploying systems in the cloud., • Familiarity with embedding models, chunking strategies, and semantic search., • Experience working in a small team or startup environment., • A pragmatic problem-solver who balances speed with sustainability., • Passion for writing maintainable, scalable code., • Knowledge of security and compliance best practices (e.g. HIPAA/GDPR, NHS DTAC, SOC 2)., • Bonus: experience in healthcare, medtech, or regulated environments.

Given our exciting and progressive growth plans, we are looking for an exceptional Senior Staff Backend Engineer to come join our global business. Reporting directly into the Head of Engineering for a tribe, and working with key stakeholders you will be accountable for technical vision, strategy and execution in your team and proactively manage technical risks at Fresha. This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact. Key Accountabilities • This is a heavily technical role, hands-on coding skills are expected. It’s not a management role, • Own and deliver cross team and cross tribal technical initiatives, • Take ownership of architecture for a tribe, • Sought out for technical guidance; anticipating technical issues at the product level and making architectural and design decisions to avoid them, • Create sweeping improvements in stability, performance and scalability across major business-critical systems, • Ensure timely delivery of your teams’ projects, which will ultimately have a tangible impact on Fresha’s success, • Make sure your team follows our engineering practices by leading from the front, • Work closely with diverse functions within the team across Product, Design, Data and QA and make sure that the team has clear goals and regularly delivers value to our users, • Facilitate continuous learning and improvement for your team, • Make sure that the systems your team owns meet Fresha quality, reliability and scalability standards, • You will be anticipating broad technical changes and ensuring Fresha is always ahead of the curve, • Recognising and making trade-offs with respect to the whole system. You understand deeply the entire architecture for a major part of our business and you’re able to articulate clearly the scaling and reliability limits of that area., • Primarily acting as a multiplier by building systems, authoring tools or introducing policies or patterns that raise the level of productivity of the entire org, • Communicating the awesomeness of Fresha in different Tech communities externally via talks and blog posts, identifying areas that we can share effectively with the outside world, guiding the creation of content and communication around those areas. Leading conversations internally about the direction of major areas of technology, driving wide-team consensus to the adoption of this direction and using this direction to inspire engineers Skills, experience & qualifications required • You have consistently delivered large systems involving one or more teams’ contributions on time at a high level of quality, • You’ve had to quickly break down complex problems into potential solutions, knowns, and unknowns, in order to get a solid resolution faster, • You’re capable of debugging the hairiest problems that the team encounters, • Played a key role in developing multi-year technology strategy for complete and critical areas of the business that encompass multiple systems and teams, • You have created an architecture that enables many potential futures without knowing exactly what the future is, • Ability to interact with people from across the business and build strong relationships, including the ability to effectively influence upwards, • Listened and guided debates to help reach consensus; once a decision is made clearly communicate the decision(s) back, • Set short to medium-term strategic technical direction, able to look ahead 6-12 months identify areas of greatest need and create plans to improve them, • You’re seen as a role model and mentor to every technical member of the team, • Recognised as a prolific contributor to core and side projects, • Consistently reduced the complexity of projects, services, and processes to get more done with less work, • Shaped broad architecture; shipped multiple large services, complex libraries or major pieces of infrastructure, • Made obvious positive impact on an entire company’s technical trajectory, • Happy to roll sleeves up and assist the team when required (team player), • Self-starter and proactive approach, • Comfortable working in a fast-paced and changing environment Benefits • Hybrid work (3 days in the office per week), • Flexi-time (around core hours), • Competitive salaries&RSUs, • Pension plan (5% self + 3% company contribution), • 25 days PTO, • Weekly office lunches (Fridays), • Travel coverage when visiting teammates - through workshops and social events Inclusive workforce At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable matters. We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment. We do not discriminate based upon race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying. If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you. About Fresha Fresha is the world's largest and top-rated booking platform for Beauty and Wellness trusted by millions of consumers worldwide. Available in 120+ countries worldwide, Fresha is used by 80,000+ businesses and 300,000+ professionals worldwide, who have booked over 600 million appointments through Fresha already. Fresha is headquartered in London, United Kingdom with global offices located in New York City, Vancouver, Sydney, Dublin, Amsterdam and Warsaw. The company raised $185M in venture capital funding to date from leading institutional investors. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with its intuitive free business software and financial technology solutions. Our ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management. The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. Interview Process • 1 hour - Google Meet with the HoE, • 2.5 hours - Technical Interview with Team, • 1 hour -Interview with CTO If we don't respond to your application within 7 days, please assume your application has been unsuccessful.

What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. How You'll Make an Impact: As a Staff Software Engineer, you will help deliver an exceptional product experience to our customers all around the world. This could be for hotel guests, creating a user experience that makes travelers feel welcome, comfortable, and inspired to share the joy of travel with others. Or it could be for our accommodation providers, building trusted, simple, easy-to-use features to support key aspects of their daily business. Helping nearly 10,000 properties globally to process billions in transactions every year. Our Payments Team: At Cloudbeds, our Payments tribe builds the systems that keep money moving securely, efficiently, and globally for thousands of our customers. We love solving complex, interconnected problems, integrating with global partner APIs, designing for compliance and security, and constantly iterating on better, more scalable payment solutions. Working on Cloudbeds Payments means joining a supportive, collaborative group of engineers who are building the financial backbone of the industry, together. What You Bring to the Team: • Develop in the existing codebase using Java and PHP, • Ownership mindset: You take responsibility for the quality and reliability of your contributions, collaborating closely with peers to design, build, and operate systems together., • Technical excellence: You write clean, maintainable, and well-tested code. Caring deeply about system quality, performance, and scalability. Assist in researching new technologies to ensure the best fit, quality, and outcome., • Security and compliance awareness: You understand the importance of PCI, data privacy, and secure-by-design principles in payment systems., • Continuous learning: You’re curious about how things connect across the platform, eager to learn from peers, • Mentor to other engineers, • 7+ years of web application software engineering experience of Java (Spring), • 3+ years of PHP (preferred) or other programming languages, ie. Python, • 5+ years of production experience with PostgreSQL or MySQL, with a track record of optimizing database performance for high-volume applications, • 3+ years of experience in designing and developing event-driven services, • Hands-on experience with IaC (ArgoCD, Kubernetes, Terraform), AWS, Kafka, • Experience in the Payments domain, • Experience within an organization that focused on high availability, scalability, security, automation, and observability., • A strong business sense and ability to collaborate with leadership and non-technical stakeholders on highly visible projects., • Dedication towards observability by leveraging metrics, experiments, and prototypes to ensure decisions are data-driven., • Experience in engineering software for large-scale solutions, utilizing modern tooling to get you there, and Experience with large-scale Domain Driven Design, • Solid understanding of secure software engineering with experience in regulated environments; familiarity with PCI-DSS, similar compliance frameworks preferred., • Experience working with a remote-first and globally distributed team Work Authorization: Please note that applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship. At this time, Cloudbeds is unable to provide sponsorship for work visas. What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at cloudbeds.com Company Awards to Check Out! • Best All-In-One Hotel Management System | HotelTechAwards (2025), • Overall 10 Best Places to Work | HotelTechAwards (2025), • Most Loved Workplace® Certified (2024), • Top 10 People’s Choice(2024), • Deloitte Technology Fast 500 (2024) Discover our Benefits:, • Remote First, Remote Always, • PTO in accordance with local labor requirements, • 2 corporate apartment accommodations for team member use for free (San Diego & São Paulo), • Monthly Wellness Fridays - enjoy an extra long weekend every month, • Full Paid Parental Leave, • Home office stipend based on country of residency, • Professional development courses in Cloudbeds University Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at 858-201-7832 or via email at . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.

Full-Stack Engineer – Finance Technology Java | Spark | Cloud | Global Investment Bank Location: Glasgow (Hybrid – 2–3 days onsite) We’re hiring a Full-Stack Engineer to join a high-impact Finance & Regulatory Technology team within a top-tier global investment bank. This team is responsible for building strategic, cloud-first data solutions and modernising legacy platforms that support critical regulatory reporting across the firm. You’ll work as part of a collaborative Agile squad, building scalable backend services and data pipelines while partnering closely with Finance and Regulatory stakeholders. This is a great opportunity to contribute to high-visibility projects in a fast-paced environment where innovation and best practices are valued. What You’ll Do • Design and build full-stack applications for finance and regulatory reporting, • Develop Java backend services and Spark-based data pipelines, • Modernise existing systems into scalable, cloud-native solutions, • Handle complex datasets and ensure data integrity across platforms, • Contribute to CI/CD pipelines, DevOps processes, and automated testing frameworks What We’re Looking For • Proven experience in full-stack development, • Strong core Java skills (Scala knowledge is a plus), • Hands-on experience with Spark or other distributed computing tools, • Familiarity with Azure or similar cloud platforms, • Experience working with relational and/or cloud databases (Snowflake, Sybase), • Front-end development using Angular or similar frameworks, • Comfortable in Unix/Linux environments, • Agile and DevOps mindset

Software Engineer - Finance Technology (Java, Spark, Cloud) We’re hiring a Software Engineer to join a high-impact Finance / Regulatory Technology team within a leading global investment bank. You’ll work on business-critical regulatory reporting platforms, helping modernise legacy systems and build strategic, cloud-based data solutions used across the firm. You’ll be part of a collaborative Agile squad focused on Java services, Spark data pipelines, and cloud transformation, working closely with Finance and Regulatory stakeholders. What You’ll Do • Design, build, and enhance software applications supporting regulatory and financial reporting, • Develop Java-based backend services and Spark-driven data pipelines, • Contribute to the modernisation of platforms toward cloud-native architectures, • Work with large, complex datasets in an Agile delivery environment, • Support CI/CD, DevOps, and automated testing to improve software quality Skills & Experience • Strong software engineering experience, • Java (Scala exposure beneficial), • Spark / distributed computing experience, • Familiarity with Azure Cloud, • Experience with relational or cloud databases (Snowflake, Sybase, or similar), • Exposure to front-end frameworks (Angular or similar), • Comfortable in Unix/Linux environments with Agile and DevOps practices