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8+ years of professional experience in Python backend software development. Profound knowledge of Python, its ecosystem, and popular backend frameworks such as Django, Flask, and FastAPI. Strong understanding of software design principles, architectural patterns such as Microservices and MVC, and object-oriented programming. Proficiency with relational databases such as PostgreSQL and MySQL and/or NoSQL databases such as MongoDB and Cassandra. Extensive experience in designing, developing, and integrating RESTful APIs and web services. Experience designing and developing scalable, secure, and high-performance backend services and microservices. Experience with cloud platforms such as AWS, Azure, or Google Cloud and associated services. Experience with Docker and container orchestration tools such as Kubernetes. Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, and GitHub Actions. Strong understanding of testing methodologies and experience with unit, integration, and end-to-end testing. Proficiency with Git/GitHub and collaborative development workflows. Understanding of API security, authentication/authorization, data protection, and secure coding practices. Experience with application performance optimization, scalability, caching, logging, monitoring, and troubleshooting. Proven ability to analyze complex technical problems and develop effective solutions. Strong problem-solving and analytical thinking skills. Good communication and stakeholder management skills. Ability to work independently and effectively in a team environment.

About Ottimate Ottimate is an AI-powered AP [Accounts Payable] automation platform that empowers finance teams to reduce costs, prevent overpayments, detect fraud, and enforce policy compliance across the entire invoice-to-payment lifecycle. About The Role We're looking for a capable, growth-minded software engineer to join our team as its third engineer. This is an ideal opportunity for an early-to-mid-career engineer who wants meaningful ownership, close collaboration with experienced teammates, and the opportunity to grow quickly. Our team solves real customer problems across a mature financial platform. The work ranges from building product features to investigating production incidents, improving database performance, strengthening security boundaries, and maintaining reliable accounting and payment workflows. We use AI-assisted development tools extensively, but we do not treat generated code as automatically correct. A successful engineer in this role will know how to use tools such as Claude Code or Codex to navigate unfamiliar systems and accelerate development while remaining responsible for correctness, security, testing, and operational safety. You do not need experience with every technology or with fintech. We care more about strong fundamentals, curiosity, sound judgment, and the ability to learn quickly. Responsibilities Build, test, and maintain backend product features, primarily using Python, Django, and relational databases Use AI coding tools to investigate problems, implement changes, write tests, and improve documentation Critically review AI-generated code for correctness, security, performance, and maintainability Turn customer feedback into reproducible technical problems, fix the root cause, check whether customer data was affected, and update it Translate ambiguous customer feedback into reproducible technical problems and practical product improvements Own work from initial investigation through implementation, testing, QA, deployment verification, and follow-up Build and maintain APIs, asynchronous jobs, integrations, internal tools, and data-processing workflows Write clear, maintainable code with appropriate automated test coverage Participate in code reviews and technical discussions with the rest of the engineering team Improve system reliability, observability, documentation, and development processes Protect financial correctness, tenant isolation, data integrity, auditability, and customer privacy Gradually take ownership of larger features and technical decisions as you grow in the role Requirements Professional software engineering experience at an early-to-mid-career level Strong working knowledge of Python Experience designing, querying, and debugging applications backed by relational databases Familiarity with APIs, automated testing, Git, and collaborative software-development practices Experience using AI-assisted coding tools in real development work The ability to evaluate and validate generated code rather than accepting it automatically Strong debugging skills, including in an unfamiliar codebase, and the habit of asking what a bug did to customer data, then helping correct it An understanding of common application concerns such as authorization, concurrency, retries, idempotency, and failure handling Clear written and verbal communication A careful approach to systems that handle sensitive business and financial data Comfort working on a small team with broad ownership and changing priorities Curiosity, humility, and a willingness to ask questions, receive feedback, and learn new systems Nice to have Experience with Django or another Python web framework Experience with PostgreSQL, query analysis, and database-performance optimization Familiarity with Celery or another asynchronous job-processing system Experience with AWS, ECS, Docker, and CI/CD pipelines Experience with observability tools such as ClickStack, Sentry, or OpenTelemetry Experience with TypeScript, Angular, or another modern frontend framework Experience building or maintaining fintech, accounting, accounts-payable, payments, or ERP-integration software Experience working directly with customers, support teams, or other non-engineering stakeholders Familiarity with access controls, audit trails, data remediation, and safe bulk-data operations Experience supporting production systems or participating in incident investigation What Makes Someone Successful In This Role You'll thrive here if you are pragmatic, dependable, and comfortable working through ambiguity. You should enjoy understanding how systems behave in the real world—not just writing code from a ticket The strongest candidate will use AI to move faster while retaining ownership of the result. They will verify assumptions, test important behavior, consider failure cases, and communicate clearly when something remains uncertain We are not looking for someone who already knows every technology or financial concept we use. We're looking for a generally capable engineer with good instincts, customer empathy, and a strong learning mindset This role offers close collaboration and mentorship from experienced engineers, along with the opportunity to make a visible impact on a growing product and engineering team Benefits We care deeply about making Ottimate an incredible place to work and invest a significant amount of time and energy into creating and maintaining a company culture that provides our team with a generous level of support whilst inspiring them to do their best work. The specific benefits/perks we offer are continually evolving, but currently include: Salary Range: USD $130,000-155,000 (depending on level) per year + annual bonus Medical, Dental, Vision, and other Company-Subsidized Benefits for you and your family Employer-sponsored 401(k) with company match Paid Time Off (and the encouragement to use it) Promote from within philosophy Beyond the tangible benefits, though: You will be part of a growing team, at a pinnacle moment of scale for the business, and experience the excitement of working in a startup where each action makes a huge difference You will have the agency to solve difficult problems creatively, the freedom to explore work that inspires you, and infrastructure to ensure you're constantly challenged and developing You will work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution. Our commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work is second to note We are transforming entire industries using innovative technology, including Artificial Intelligence, Payment Tech, and Neural Networks Our leaders lead with a people-first approach; inspiring excellence, nurturing ideas, and finding creative ways to eliminate obstacles for cultivating growth We truly love what we do and who we do it with - and we think you will too! Ottimate is an equal opportunity employer that is committed to diversity and inclusion. We do not discriminate based on race, color, national origin, religion, gender, gender expression, sexual orientation, age, veteran status, disability status, or marital status. If you are excited about the role but do not meet 100% of the qualifications listed above, we encourage you to apply. Nothing in this job posting should be construed as an offer or guarantee of employment.

About the Company Jobot is presenting this opportunity on behalf of a client seeking a Python Engineer to support the development and improvement of AI analytics platforms. The client operates in the software development and technology services space. About the Role The client is looking for a Python Engineer to design, develop, and deploy software solutions that help streamline and automate AI analytics platforms. This full-time, fully remote position combines software development, data pipeline engineering, and data analysis. You'll work with Python, Django, Node.js, and Vue.js to build and maintain reliable applications and data pipelines. The role also involves collaborating with cross-functional teams to understand business requirements, reviewing code, resolving technical issues, and applying new technologies where they can improve software performance and functionality. Responsibilities Design, develop, and implement software solutions using Python, Django, Node.js, and Vue.js. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Develop and maintain scalable, secure, and reliable data pipelines that support data analysis and reporting. Apply data science skills to analyze data, identify useful insights, and support informed decision-making. Conduct code reviews to maintain code quality and ensure adherence to coding standards. Troubleshoot and resolve software issues efficiently. Keep up with developments in software engineering and integrate relevant technologies to improve application performance and functionality. Qualifications 3–5 years of software development experience, with a focus on Python, Django, Node.js, and Vue.js. A strong interest in data science. Ability to work effectively in a fast-paced startup environment. Ability to work independently, take initiative, and manage time effectively in a remote setting. Strong attention to detail. Required Skills Software development with Python, Django, Node.js, and Vue.js. Data pipeline engineering. Data analysis and application of data science skills. Ability to work effectively in a fast-paced startup environment. Ability to work independently in a remote setting. Strong attention to detail. Preferred Skills The original listing does not specify any separate preferred qualifications. Pay range and compensation package The advertised annual base salary range is $150,000–$165,000. Actual compensation will depend on the candidate's skills and experience. The original listing does not provide details about additional benefits or bonus arrangements. About the Work Location This is a fully remote position based in the United States, with Killeen, Texas, listed as the location. About the Employment Type Full-time.

Job Description We are seeking a Python Developer to join our dynamic team. The ideal candidate will have strong experience in building scalable Python services and AI/ML-enabled applications and a proven ability to design data models, optimize data workflows, and deliver production-grade APIs supporting GenAI initiatives . Responsibilities: Develop data-driven and AI-enabled applications. Build scalable Python services, APIs, and asynchronous workflows. Design and optimize data models and database solutions. Work with large-scale data processing platforms to enable reliable pipelines. Support AI/ML and GenAI initiatives, including model integration and optimization. Collaborate across product, architecture, and engineering teams to deliver solutions. Required Skills & Qualifications: Development: Python, FastAPI, Java, Spring AI, Async programming. Foundational models: Gemini, OpenAI, Claude, Llama, and local models. Machine learning: PyTorch, TensorFlow, and fine-tuning practices. AI frameworks: Google's ADK, LangChain, LlamaIndex, Hugging Face. Orchestration: LangGraph and multi-agent systems. Retrieval augmented generation: PostgreSQL, vector databases, advanced retrieval. Deployment: Docker, production APIs, and monitoring. Applied methodology: prompt engineering, workflow design, and GenAI optimization. Preferred Skills: Java and microservices. Design patterns and full stack development. React or Angular UI development.

The Gen AI Python Developer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Design, develop, and maintain high-quality, scalable, and efficient Python code for Generative AI applications. Integrate and leverage various GenAI-related APIs (e.g., OpenAI, Gemini) to build innovative features and products. Implement and optimize Retrieval Augmented Generation (RAG) systems to enhance AI model capabilities and provide contextually relevant responses. Develop and deploy robust backend services using Python frameworks such as FastAPI, Flask, or Django. Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define requirements and deliver solutions. Write comprehensive unit and integration tests to ensure code quality and reliability. Participate in code reviews, contributing to a culture of high-quality code and best practices. Optimize application performance, scalability, and security. (Optional, if relevant): Work with cloud container orchestration services like OpenShift ECS for deploying and managing applications. (Optional, if relevant): Familiarity with Lightspeed (referring to a specific internal tool or technology - clarify if this is a known external tool) is a plus. Recommended Qualifications: 5+ years of professional software development experience with a strong focus on Python. Proven hands-on experience with Generative AI concepts and technologies. Demonstrable experience working with GenAI-related APIs, such as OpenAI, Gemini, etc. Solid understanding and practical experience in implementing Retrieval Augmented Generation (RAG) systems. Expertise in at least one modern Python web framework: FastAPI, Flask, or Django. Strong understanding of software development best practices, including version control (Git), testing, and CI/CD. Experience with relational and/or NoSQL databases. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Strong communication and interpersonal skills. Education: Bachelor's degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Primary Location: Tampa Florida United States Primary Location Full Time Salary Range: $96,960.00 - $145,440.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Anticipated Posting Close Date: Sep 22, 2026 Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Company Description See how Epsilon powers connected marketing by unlocking the full potential of data and identity. Overview As a Full Stack Developer on the Automation & Infrastructure team, you'll build and support internalapplications and integrations that automate workflows and help operational teams work more efficiently. You'll work directly with internal users and project teams to understand their workflows and turn requirements into practical software solutions. In this mid-level role, you'll independently own clearly scoped features and improvements through development, testing, deployment, and ongoing support, collaborating with senior engineers on broader architecture decisions. Responsibilities What You'll Achieve Build and maintain usable, accessible web applications using TypeScript and modern frontend frameworks. Develop secure, well-structured APIs and backend services using Node.js and frameworks such as NestJS or Express. Write clean, maintainable code and automated tests appropriate to the change. Participate in code reviews and contribute to shared development practices. Troubleshoot application and integration issues using logs, monitoring, and other diagnostic tools. Work with internal users to clarify requirements, validate workflows, and improve existing applications. Contribute to AI-enabled application features and workflow automation where appropriate. Qualifications Who You Are Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 2+ years of professional software development experience, including experience delivering and supporting production applications. Strong proficiency in TypeScript and experience with Angular or another modern frontend framework. Experience building backend applications and APIs with Node.js and frameworks such as NestJS or Express. Experience building data-driven web applications and integrating with internal or external APIs. Working knowledge of relational databases and SQL, such as PostgreSQL or MySQL. Experience writing automated tests and troubleshooting application issues. Proficiency with Git and collaborative development workflows. Experience developing or supporting applications in Linux-based environments. Ability to break work into manageable increments, communicate progress and dependencies, and raise blockers or priority conflicts early. Ability to clarify requirements with technical and non-technical partners and explain technical decisions clearly. Why You Might Stand Out From Other Talent Experience with Docker and containerized application deployments. Experience with CI/CD pipelines and modern DevOps practices. Experience with scripting languages such as Python or Bash. Experience integrating AI services or APIs into applications, including handling structured outputs, validation, and failure cases. Experience building internal applications, workflow automation, or integrations that replace manual operational processes. Additional Information When you join Epsilon, we'll create something EPIC together. We're a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees. Check out a few of these resources to learn more about what makes Epsilon so EPIC: Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog Epsilon Has Five Values That Define Our Culture And Guide Us As We Create Value For Our Clients, Our People And Consumers. We Seek Candidates Who Align With Our Company Values, Demonstrate Them And Make Them Meaningful In Their Day-to-day Work Act with integrity. We are transparent and have the courage to do the right thing. Work together to win together. We believe collaboration is the catalyst that unlocks our full potential. Innovate with purpose. We shape the market with big ideas that drive big outcomes. Respect all voices. We embrace differences and foster a culture of connection and belonging. Empower with accountability. We trust each other to own and deliver on common goals. Because You Matter Benefits As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to: Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. Compensation Range: USD $73,500.00 - USD $136,500.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/16/2026.

"Roads? Where we're going, we don't need roads." Doc Brown, Back to the Future Senior Software Engineer - TypeScript & Node, Distributed Messaging (Kafka / RabbitMQ) and AI Coding Agents. Remote, USA (Pacific overlap preferred). Up to $230k + equity. Full-time. US citizens and Green Card holders only - no sponsorship or visa transfers of any kind. READ THIS BIT FIRST Three things decide whether this role is for you. Everything below is detail. Deep TypeScript and Node. Expert level, not exposure. Modern service frameworks, a monorepo setup, React on the front end, cloud-native infrastructure. If TypeScript has been incidental to a Java or Python career, this is not your role. Real distributed messaging Kafka, RabbitMQ or equivalent. This is the single most common reason strong resumes get rejected here. Event-driven systems, queueing and streaming, ordering, idempotency, retries, and what happens when a consumer falls over at volume. Calling REST APIs is not this. Shipping production code with AI coding agents. Hands-on, in a real codebase, right now. You should have opinions about what you delegate to an agent, what you never would, and how you review what comes back. Theory and weekend experiments will not clear the bar. Miss one of the three and the conversation stops there. Have all three and you are already most of the way into a process with a company paying well above market for engineers who do this properly. THE COMPANY A venture-backed B2B software company of roughly 100 people, rebuilding the data layer that moves orders, invoices and shipment data between the companies that actually make and ship things. It is a category that has run on decades-old tooling, manual configuration and months-long onboarding since roughly the fax era. This team turned it into a self-service platform with AI built into the core of the product, and hundreds of enterprise customers now push serious production volume through it daily. Boring-sounding industry. Enormous, sticky market. Genuinely interesting engineering. WHY THIS ONE IS DIFFERENT Most companies will tell you they are AI-forward. Usually that means someone expensed a licence and the team is encouraged to experiment. Here, coding agents are standard equipment - simply how the work gets done. Which means the senior engineering job has quietly turned into something more interesting than it was three years ago. You are not the fastest typist on the team. You are the person who decides what is worth building, designs the system it lives in, directs the agents doing the construction, and reviews their output with exactly the scepticism you would bring to a teammate's pull request. And here is what gets missed in every breathless post about AI replacing engineers: this makes deep fundamentals more valuable, not less. You cannot safely approve what an agent produces if you do not genuinely understand the system underneath it. An agent will happily hand you something that compiles, passes tests, and quietly falls apart the first time real volume hits it at 3am. Catching that is the job. WHAT YOU WILL ACTUALLY BE DOING Designing the hard parts. You lead the technical design of major initiatives and product features. You write the design docs. You make the call on architecture and you argue it in business terms, not just technical ones. Directing and reviewing AI agents. Decomposing work so agents can execute it well, steering that execution, and reviewing it rigorously. You set the standard for what an agent is and is not allowed to ship. Living in distributed systems. The platform is event-driven, moving high volumes of transactional data between parties who all have opinions about format and timing. Owning reliability. Enterprise customers' supply chains depend on what you build. You own how it behaves under load and when things break. Raising the bar. Mentoring other engineers and lifting their design skills. Partnering with product. Pushing back when the engineering cost does not justify the outcome, and proposing the better route to the same result. WHAT THIS ROLE IS NOT Not a management role. No reports, no headcount, no review cycles. If you went into management and came back to IC because building is what you love, that reads as excellent judgement here. Not execution inside someone else's architecture. If the last few years were delivering well-specified work within a design someone more senior set, this will not land at this level. Not a prompt-engineering gig. Using agents is the baseline, not the achievement. Not a process role. Nobody is being hired to run ceremonies, own a board, or evangelise a methodology. Not backend-only, frontend-only or infra-only. This is product engineering. Not hybrid, and not sponsored. Genuinely remote, US-based, Pacific overlap preferred. No visa sponsorship and no visa transfers. THE REST OF THE SCREEN 5-15 years in product engineering, shipping things customers use. A growth-stage background - Series C or later, or Series A/B with genuine enterprise traction. End-to-end ownership of a major system or product area. Product-minded, strong communicator who can argue a trade-off with people who do not write code. B2B SaaS experience is a bonus. THE DETAILS Up to $230k + equity. Full-time and permanent. Remote-first by design, with unlimited PTO and a work-from-home benefit. Four-stage interview process. Several engineers are being hired on this requisition, so you are not competing for a single seat. This is a confidential search handled by Big Wave Digital. Apply here and we will walk you through the company, the product, the team and the process. Where we're going, we don't need roads. We do need someone who can read what the machines write. KEYWORDS TypeScript, JavaScript, Node.js, NodeJS, ES2022, ECMAScript, Deno, Bun, npm, pnpm, Yarn, TSConfig, Type Safety, Static Typing, Generics, NestJS, Express, Fastify, Koa, Nx, Monorepo, Turborepo, React, Next.js, Redux, React Query, Vite, Webpack, GraphQL, Apollo, tRPC, REST API, OpenAPI, Kafka, Apache Kafka, RabbitMQ, AMQP, NATS, Pulsar, ActiveMQ, SQS, SNS, EventBridge, Kinesis, Redis Streams, Event-Driven Architecture, Event Sourcing, CQRS, Pub/Sub, Message Queue, Message Broker, Consumer Groups, Partitioning, Idempotency, Exactly-Once Delivery, Distributed Systems, Microservices, Service Mesh, Saga Pattern, Eventual Consistency, Backpressure, Retries, Dead Letter Queue, Circuit Breaker, Rate Limiting, Throughput, Latency, Horizontal Scaling, Sharding, Replication, Fault Tolerance, High Availability, Concurrency, Distributed Tracing, Load Balancing, AI Coding Agents, Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, Cline, Aider, Devin, Agentic Workflows, LLM, Large Language Models, Prompt Engineering, AI Code Review, AI Pair Programming, Context Engineering, MCP, Model Context Protocol, RAG, Retrieval Augmented Generation, Vector Database, Embeddings, AI-First Engineering, AI Native, Agent Orchestration, AWS, EC2, ECS, EKS, Lambda, S3, RDS, CloudFormation, Terraform, Docker, Kubernetes, Helm, CI/CD, GitHub Actions, Jenkins, CircleCI, Observability, Datadog, Prometheus, Grafana, OpenTelemetry, Infrastructure as Code, PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Elasticsearch, Prisma, TypeORM, Knex, SQL, NoSQL, Database Design, Data Modeling, ETL, Data Pipelines, Schema Migration, System Design, Technical Design, Software Architecture, Architecture Decision Records, Design Docs, Technical Leadership, Staff Engineer, Principal Engineer, Senior Software Engineer, Lead Engineer, Individual Contributor, Mentoring, Code Review, Technical Strategy, Scalability, Reliability Engineering, Production Systems, Performance Optimization, Refactoring, Legacy Modernization, Product Engineering, Full Stack Engineer, Backend Engineer, B2B SaaS, SaaS, Enterprise Software, API Platform, Developer Experience, Platform Engineering, Supply Chain Technology, Logistics Technology, EDI, Electronic Data Interchange, Trading Partners, Order Management, Invoicing, Fulfillment, Integrations, Data Exchange, Workflow Automation, Rules Engine, Transaction Processing, Series C, Series B, Series A, Growth Stage, Venture Backed, Startup, Scale-up, High Growth, Enterprise Traction, Product Led Growth, Remote First, Distributed Team, Unlimited PTO, Equity, Agile, Shipping Fast, Ownership, Cross-Functional, Stakeholder Management, Communication Skills, Problem Solving, Pragmatism, Code Quality, Testing, Unit Testing, Integration Testing, TDD, Git, Trunk Based Development, Pull Requests, Remote USA, US Remote, Pacific Time, PST, PDT, West Coast, United States, US Citizen, Green Card, Permanent Resident, No Sponsorship, Work Authorization

bunch is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real responsibility, and working with a thoughtful, ambitious team, this role might be for you. Your Role As Marketing Lead, you turn marketing into a reliable source of qualified pipeline across the UK, Luxembourg and Germany. You report to the Co-Founder and own the marketing plan, budget and team. Our buyers are GPs, CFOs, COOs and fund operations teams at VC and PE managers. Trust in this market comes from expertise, references and the institutions they already rely on, and almost nobody speaks to the CFO and operations team directly. We will. The founders set the company narrative; you build the engine that carries it to market. Top priorities Own marketing's pipeline contribution Set marketing's pipeline target by market with the CEO and own the result: qualified pipeline in euros across the UK, Luxembourg and Germany. Define and run the marketing plan and budget for each market, and decide which programmes to scale and which to stop. Grow our presence beyond our current client base and build our position with larger fund managers. Build the engine across three vectors Content and credibility: a weekly publishing cadence built on what our fund specialists, founders and clients know (operational deep dives, migration and capital-call guides, case studies with named clients), co-publications and webinars with the institutions and voices our buyers trust, and the data and insights lane: bunch as the source the market and journalists call about European private markets operations. You orchestrate; you run the writer. Field: an events programme you produce in-house for fund CFOs and COOs, who rarely attend the investor events, built as a ladder: a 10-person series per market, seller-owned events, partner events with law firms, auditors and banks, and from there larger flagship formats, eventually a bunch conference. Growth and online: with our Growth Marketing Manager and our sales ops and data team, the digital channels, pooled audiences and the HubSpot attribution and MQL→SQL layer that turn attention into qualified pipeline. Own positioning and product marketing, with Product Positioning and messaging by tier, release go-to-market, and sales enablement (one-pagers, battlecards, demo narratives). Product owns the roadmap and release notes; you own how the market hears about them. Become an expert in our product: sit with client onboarding and the fund specialists until you can demo and explain the platform yourself. Work hand in hand with sales Run the marketing surround on named target accounts in HubSpot and hand engagement signals on to the sales team, so their next touch lands warm. Sellers own their accounts; marketing never emails a prospect one-to-one. Bring market insight back to the commercial team: what our buyers read, discuss and care about, in a weekly market brief you own. Build the function Set up the marketing scoreboard (attribution, shared definitions of MQL, SQL and sourced vs influenced pipeline, reporting) with our sales ops and data team. Lead and grow the team: a Growth Marketing Manager today, a writer on retainer, an events coordinator as the series scales; manage agencies and freelancers. About you 5+ years in total, including 2+ in growth or marketing at a B2B scale-up selling to expert or regulated buyers (fintech, financial services, legal, insurance). You have built a marketing function or content programme from near zero: hired for it, set its budget, chose its agencies, and it kept running when you stepped back. Consulting or GTM-practice years count; private markets experience puts you at the top of our list. You have built or run attribution and steer on pipeline in euros, not MQL counts, with a number you moved to show for it. Hands-on in HubSpot, and you build your own workflows and agents (automations, LLM pipelines for content and signals), not just prompts. Player-coach. You ship before you delegate, turn subject-matter experts into a publishing engine, and learn a market by sitting in its sales calls and reading what its buyers read. Fewer things, done brilliantly. You cut what you can't measure, automate prep but never relationship touches, and know that sellers own their accounts. Full professional English; German is a plus. Comfortable spending regular time in the UK, Luxembourg and Germany. About bunch bunch is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management. We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026. We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that actually matters to the people using it. At bunch, we're committed to an inclusive environment where diversity is valued and celebrated. We provide equal opportunities to all qualified applicants. We process personal data in line with applicable laws (including GDPR). See our Privacy Policy for details on your rights and how to reach us. 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Argus Search – Ihre spezialisierte Personalberatung im HR- und Finanzbereich. Wir bringen die besten Talente mit Top-Unternehmen in Berlin zusammen! Aktuell suchen wir im Auftrag eines Mandanten eine motivierte Persönlichkeit für die Rolle des Senior Finance Manager (gn). Klingt spannend? Dann bewerben Sie sich jetzt – wir freuen uns auf Sie! Aufgaben Steuerung und kontinuierliche Optimierung der Finanz- und Rechnungswesenprozesse Weiterentwicklung und effiziente Nutzung bestehender ERP- und Finanzsysteme Fachliche und disziplinarische Führung des Accounting-Teams Koordination der Monats-, Quartals- und Jahresabschlüsse nach HGB Begleitung von Jahresabschlussprüfungen Zentrale Schnittstelle zwischen internen Fachbereichen, Finanzabteilungen und externen Partnern Optimierung und Automatisierung von Finanzprozessen sowie Mitwirkung an Transformationsprojekten Qualifikation Abgeschlossene kaufmännische Ausbildung oder ein abgeschlossenes Studium der Wirtschaftswissenschaften, Betriebswirtschaftslehre oder eine vergleichbare Qualifikation mit Schwerpunkt Rechnungswesen/Finanzen Mehrjährige Berufserfahrung (mind. 5-7 Jahre) in der Buchhaltung Sichere Anwenderkenntnisse in den gängigen MS Office Programmen, insbesondere Excel, sowie eine generelle IT-Affinität und Bereitschaft zur digitalen Weiterentwicklung SAP-Kenntnisse von Vorteil Analytische und strukturierte Arbeitsweise mit hoher Zahlenaffinität und Problemlösungskompetenz Eigeninitiative, Verantwortungsbewusstsein und eine zuverlässige, sorgfältige Arbeitsweise Fließende Deutschkenntnisse sowie sehr gute Englischkenntnisse Benefits Unbefristeter Arbeitsvertrag in einem zukunftssicheren Unternehmen und spannendem Umfeld Fachliche und persönliche Weiterentwicklung sowie genügend Spielraum, um sich und seine Ideen mit einzubringen attraktives Gehaltspaket Moderner Arbeitsplatz mit optimaler Verkehrsanbindung Hybrides Arbeitsmodell Sie finden die Position spannend? Sprechen Sie mit uns – wir beraten Sie gerne und geben Ihnen in einem persönlichen Gespräch weitere Informationen zu dieser Vakanz. Sollte die Position nicht ganz zu Ihren Vorstellungen passen, haben wir selbstverständlich noch weitere spannende Funktionen im Angebot. Als Argus Search vermitteln wir regelmäßig attraktive Positionen im HR- und Finanzbereich und arbeiten mit spannenden Unternehmen in und um Berlin zusammen. Haben Sie jemanden im Kopf, der perfekt zu dieser Position passt? Dann freuen wir uns, wenn Sie uns den Kontakt empfehlen! Find Jobs in Germany on Arbeitnow

About Us: Foundation AI is the only AI Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country. Find out more at www.foundationai.com. Job Overview: At Foundation AI, we are looking for a Software Enginee r to help design, develop, and optimize high-quality software solutions. You will be a key contributor to our product teams, working across the full stack to deliver impactful features. This role demands strong coding fundamentals, a problem-solving mindset, and a willingness to learn and adapt. You'll collaborate with engineers, product managers, and designers to build scalable, secure, and maintainable software. Key Responsibilities: Software Development: Write clean, maintainable, and scalable code using the company's technology stack. Feature Implementation: Work closely with peers and cross-functional teams to build and deliver features end-to-end. Code Quality: Participate in code reviews, write unit and integration tests, and follow clean code and best practices. Collaboration: Work with designers, product managers, and QA to understand requirements and deliver solutions. Agile Execution: Participate in agile ceremonies like sprint planning, grooming, and retrospectives. CI/CD & DevOps: Contribute to deployment pipelines and help maintain a reliable delivery process. Debugging & Troubleshooting: Investigate and resolve issues and bugs in production and staging environments. Documentation: Maintain documentation for features, services, and key technical decisions. Responsibilities may be tailored based on the candidate's experience and proficiency. Skills and Tools: Experience: 1-2 years as a software engineer, preferably full-stack. Programming & Development: Proficient in Python (Flask/FastAPI) and JavaScript (ES6+); experience with React, Angular, or Vue; builds and consumes REST APIs. Databases & Messaging: Knowledge of PostgreSQL or relational databases; hands-on with RabbitMQ. DevOps & Observability: Experience with Git, Docker, CI/CD pipelines (e.g., GitHub Actions); familiar with observability tools like ELK, Datadog, Splunk, or New Relic. Architecture & Design: Understands modular and scalable system design; applies OOP and design patterns; familiar with distributed system concepts. Testing & Quality: Implements unit and integration tests; follows TDD/BDD and ensures code quality. Problem-Solving & Innovation: Debugs moderately complex systems; optimizes performance; evaluates trade-offs. Additional Skills: Familiarity with Celery, async task processing, Kubernetes, Airflow, frontend security practices, Agile/Scrum, and reading LLD/HLD documentation. Education A B.Tech degree in Computer Science or equivalent experience relevant to the functional area. Our Commitment: Foundation AI is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic. Our hiring decisions are based solely on qualifications, merit, and business needs at the time. For any feedback or inquiries, contact us at : careers@foundationai.com Learn more about us: www.foundationai.com

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role We're scaling our automated lab fast, and the automation team builds and maintains the work cells that make high-throughput biology possible — Hamilton liquid handlers, robot arms, plate readers, BLI/SPR instruments, all orchestrated by LabOS. We're looking for a Lab Automation Intern to work hands-on with that team in Lausanne: building and running automated protocols, helping bring new instruments online, and keeping production automation healthy. This is a practical, on-site role for someone who likes working where software meets hardware meets wet lab. You'll spend your time at the bench and the keyboard — programming liquid handlers, watching robots run, scripting small integrations, and figuring out why something broke. What You'll Do Help build and run automated liquid-handling protocols on our robots (Hamilton STAR and others), controlled in Python with open-source tooling like PyLabRobot / PyHamilton — with guidance from the automation team Support work-cell operation and maintenance: loading runs, swapping consumables, calibrating instruments, and troubleshooting when something jams or misreadsx Write real software in Python — instrument drivers, integrations, and tooling that controls hardware and moves data through LabOS, building on open-source libraries like PyLabRobot / PyHamilton Help reverse-engineer how an instrument talks — capturing its traffic (e.g. with Wireshark or a USB/serial sniffer) so we can control it in code Run tests on new protocols and instruments, record results carefully, and flag anomalies Document protocols, work-cell layouts, and fixes so the next person can reproduce them Pitch in on the physical side — wiring up a new device, organizing the work cell, prepping plates and reagents for automated runs What We're Looking For Currently enrolled in or recently graduated from a Bachelor's or Master's in engineering, robotics, mechatronics, computer science, bioengineering, or a related field A generalist maker — you like building things, taking them apart, and figuring out why they don't work, across software, electronics, and mechanics Self-starter — you spot what needs doing and get on with it, rather than waiting to be told Solid software skills. This is a software-heavy role, not a lab-assistant gig. You write real Python — you can build a driver, structure code others can read, work with APIs and Git, and debug your way through someone else's library AI-native. It's 2026 — you build with coding agents. You use Claude Code (or similar) to write, debug, and ship software faster than you could by hand, and you're hungry to push how far that goes Organized and reliable — you keep good notes and don't let things slip through the cracks A background in biology isn't required, but you should find it genuinely cool that we're teaching robots to run biology experiments Bonus: any maker / hacker experience — 3D printing and CAD, electronics and soldering, microcontrollers (Arduino, Raspberry Pi, ESP32), machining, robotics, or lab automation. Using or contributing to open-source projects (PyLabRobot, PyHamilton, Opentrons, or anything else) is a big plus. Details Location: Lausanne, Switzerland (on-site) Commitment: Full-time internship, minimum 3 months (longer preferred) Start date: ASAP Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow

Controller (m/w/d) Unternehmens- und Projektcontrolling Über uns Die ZBV-Automation GmbH ist ein erfahrener Spezialist für Fabrikautomation, Montageanlagen sowie Zuführ- und Prozesstechnik und entwickelt seit über 30 Jahren maßgeschneiderte Automatisierungslösungen für Branchen wie Automotive, Electronics und Pharma. Im Zuge unserer strukturellen Weiterentwicklung erweitern wir gezielt unsere kaufmännischen Strukturen weiter und bauen das Controlling als zentrale Steuerungsfunktion weiter aus. Deine Aufgaben Projektcontrolling • Du führst die mitlaufende Kalkulation unserer Aufträge durch • Du analysierst Gründe und Ursachen für mögliche Abweichungen ggü. der ursprünglichen Kalkulation • Du analysierst Projekte kostentechnisch, erkennst Risiken früh und stellst sie Projekt- und Abteilungsleitern mit Maßnahmenempfehlungen vor • Du nimmst Teil an Meilenstein-Reviews und bringst die Kostenübersicht ein • Du arbeitest als Schnittstelle zwischen Vertrieb, kaufmännischer Assistenz, Projektleitung und Buchhaltung und sicherst stimmige Projektzahlen • Du stellst sicher, dass unser Change Request Management durchgängig ist • Du überwachst Zahlungsmeilensteine und stößt Rechnungen rechtzeitig an • Du verbesserst die Kalkulationsgrundlage unseres Vertriebs, auf Basis deiner Analyse der laufenden Aufträge Unternehmenscontrolling • Du bereitest das wöchentliche Konzern-Reporting auf • Du erstellst das Monatsreporting mit Deckungsbeiträgen und Kennzahlen • Du betreust Jahresplanung, Forecast und Liquiditätsplanung • Du bereitest Investitions- und Entscheidungsvorlagen für die Geschäftsführung vor Prozess- & Systementwicklung (Nebenaufgabe) • Weiterentwicklung und Professionalisierung der Controlling-Instrumente und -Prozesse • Optimierung von Reportingstrukturen und Datenqualität • Mitgestaltung einer modernen Controlling-Landschaft im Rahmen der Neuausrichtung Dein Profil Das bringst du mit • Du hast ein abgeschlossenes Studium in Betriebswirtschaft, Wirtschaftsingenieurwesen oder einen vergleichbaren Abschluss, alternativ eine Weiterbildung zum Controller oder Bilanzbuchhalter mit entsprechender Erfahrung. • Du bringst mehrere Jahre Berufserfahrung im Controlling mit, idealerweise im Projektgeschäft des Maschinen- oder Anlagenbaus. • Du hast sehr gute Excel-Kenntnisse sowie Erfahrung mit ERP- und idealerweise BI-Systemen • Du kennst Projektkalkulation, Fertigstellungsgradmethoden und Restkostenprognosen aus der Praxis. • Du arbeitest strukturiert, bleibst auch bei unvollständigen Daten handlungsfähig und setzt dich im Gespräch mit Fachbereichen durch. Benefits • Einen sicheren Arbeitsplatz in einem zukunftsorientierten, technischen Unternehmen • Spannende Projekte im Bereich moderner Automatisierungs- und Robotertechnik • 38-Stunden-Woche sowie Gleitzeit zur eigenverantwortlichen Arbeitszeitgestaltung. • Attraktives Gehaltspaket (inkl. Urlaubs- und Weihnachtsgeld) • Flache Hierarchien und kurze Entscheidungswege • Abwechslungsreiche Aufgaben mit hoher Eigenverantwortung • Individuelle Weiterbildungs- und Entwicklungsmöglichkeiten z.B. im Bereich KI • Angenehme Arbeitsatmosphäre in einem multikulturellen Team Auf die Stelle bezogen: • Eine Schlüsselposition mit großem Gestaltungsspielraum in der Neuausrichtung des Unternehmens im Konzernverbund • Direkte Zusammenarbeit mit der Geschäftsführung und der Führungsebene Warum ZBV? Bei ZBV arbeiten Sie an individuellen High-Tech-Automatisierungslösungen in einem zukunftsorientierten Umfeld der hochentwickelten Robotik und intelligenten Automation. Find more English Speaking Jobs in Germany on Arbeitnow