Senior Python Engineer

Senior Python Engineer

Peec AI

WHAT YOU’LL DO * Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery * Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance * Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions * Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience * Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale * Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution WHAT WE’RE LOOKING FOR * 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments * Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems * Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products * Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems * Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore) * Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code * Familiarity with Vertex AI and ML specific infrastructure * Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals * Some markers of excellence, which could also be non-work related, like having a high FIDE rating * Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK * Languages: Python, TypeScript * Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse * AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS * You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it * Background working on AI products or data-heavy applications * Academic background in Computer Science or a related technical field * Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER * Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups * Regular team events and off-sites * Aggressive equity compensation package * Paid Dinner & Uber home when working late * The most beautiful office space and work environment in Berlin

Senior Python Engineer

Wizard

THE ROLE We’re looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems. You won’t be training models, but you will make them work in the real world. You’ll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability. WHAT YOU’LL DO * Design and build APIs and backend services that power AI-driven product experiences * Develop systems that integrate LLMs and ML models into production workflows * Build and maintain data pipelines supporting training, inference, and evaluation * Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features * Improve system performance, reliability, and scalability across services * Contribute to experimentation and feedback loops that improve model and product performance * Debug complex production issues and drive root cause resolution * Raise the bar on code quality, system design, and engineering standards WHAT SUCCESS LOOKS LIKE * AI-powered features are reliably delivered through scalable, well-architected backend systems * ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime * Clear, maintainable APIs and services enable fast iteration across engineering and product teams * Systems are designed with strong observability, enabling rapid debugging and improvement * Engineering decisions consistently balance speed, quality, and long-term scalability IDEAL BACKGROUND * 5+ years of experience in software engineering, with strong backend focus * Strong proficiency in Python and experience building production-grade systems * Experience designing APIs and service-oriented architectures * Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar) * Familiarity with databases (SQL and/or NoSQL) and data-intensive systems * Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure * Exposure to containerization and orchestration (Docker, Kubernetes) * Ability to operate in ambiguity and take ownership of loosely defined problems * Strong product mindset with focus on real user outcomes * Clear communication and ability to collaborate across engineering, ML, and product COMPENSATION & BENEFITS The expected base salary range for this role is $200,000–$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities. In addition to base salary, Wizard offers: * Equity in the form of stock options * Medical, dental, and vision coverage * 401(k) plan * Flexible PTO and company holidays * Fully remote work within the United States * Periodic company offsites and team gatherings Wizard is committed to fair, transparent, and competitive compensation practices.

Senior Python Engineer

Mongodb

OUR DATABASE EXPERIENCE (DBX) TEAM A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. YOU MIGHT BE RIGHT FOR THIS ROLE IF YOU... * Have substantial experience writing high-quality software in Python * Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks * Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus * Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work * Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time * Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements * Communicate well, internally and externally, both verbally and in writing * Enjoy collaborating with teammates, and mentoring junior engineers and interns * Are self-motivated, organized, and have strong time management skills YOU'LL BE ON THE TEAM RESPONSIBLE FOR... * Developing and supporting the MongoDB Python drivers and subsidiary libraries (PyMongo, Django MongoDB Backend, PyMongoArrow, LangChain MongoDB) and related software, collaborating with peers in our distributed world-wide engineering team * Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers * Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains * Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features SUCCESS IN THIS ROLE MEANS... * Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets * Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code * Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap * Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 1273396098 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000—$248,000 USD