Senior Python Software Engineer (Perm, USA, Remote + Travel)

Tech Lead - Python (Perm, USA, Remote + Travel)

Nearform

Tech Lead  (Perm, USA, Remote + Travel) This is a full-time, permanent opportunity for candidates based in the United States and authorized to work without sponsorship, with a preference for those located on the East Coast. Please note that visa sponsorship is not available for this role. This position also requires frequent travel to client sites within the U.S., with travel expenses covered by the company. About Nearform Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.   As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products. Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems. About the Technical Lead Role: As a Technical Lead at Nearform, you will be responsible for leading and guiding development teams while working directly with clients to translate business and technical requirements into impactful applications. However, as you’ll likely work on a variety of projects in your time here, your responsibilities may also include: * Provide technical and line-management leadership to your development team. * Take responsibility for the successful delivery of projects. * Identify and resolve blockers before they become issues. * Ensure best practices in software development, DevOps, and agile methodologies are upheld within the team. * Work directly with clients, translating requirements into technical briefs. * Shape and define architectural decisions ensuring scalability, security, and maintainability. * Provide updates to client and Nearform leadership to ensure clear understanding of project status and drive good decision-making. What we are looking for in this person: * Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead. For this particular role, we are looking for professional experience with Golang and/or Python and a modern Frontend tech stack (React/ Angular/TypeScript). * Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.) * Experience working directly with clients or customers to understand technical requirements. * Proven experience working with Kubernetes for container orchestration. * Strong CI/CD experience, including hands-on work with Terraform, Helm, and other cloud-native IaC technologies. * Deep understanding of observability practices, with practical experience using OpenTelemetry (OTel) and related tooling. * Experience leading software engineering teams through technical delivery and either direct line management or mentoring. * Deep understanding of agile ways of working, best practices and design patterns. * Deep understanding of test-driven development and testing best practices. * Deep understanding of version control tools, e.g. Git. * Understanding of DevOps practices and cloud technologies (AWS, Azure, GCP) * Understanding of operational concerns (such as monitoring, performance testing, security considerations, accessibility, GDPR) * Empathy and people skills Nice to have: * Experience with Graph databases Benefits & Perks: * Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.  * Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!  * Flexible Time Off Package - We offer a flexible annual leave policy plus public holidays. We also offer sick leave, marriage leave and many more. * Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in USD) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join. * Training and Development Allowance - Nearform is committed to supporting and investing in employees’ ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval. * Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team. * 401k - We offer a 401k plan and match up to 4%, with no minimum entry requirements and immediate vesting of employers’ contributions. Our Interview Process 1. 1. Talent Call (30 mins via Zoom) An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment. ---------------------------------------------------------------------------------------------------------------------------------- 2. Technical Assessment (1 hour via Zoom) A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment. ---------------------------------------------------------------------------------------------------------------------------------- 3. Hiring Manager Interview (45 mins via Zoom) A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join. There may also be an additional interview with the client depending on the project   READY TO JOIN US? If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you. Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning. Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.  If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.   Salary up to $200,000 + Bonus & Benefits

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

Senior Machine Learning Engineer, Relevance and Personalization

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will Make: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day:  * Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. * Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. * Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases. * Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep. * Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection. Your Expertise: * 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields * Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills * Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization) * Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive) * Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models * Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) * Experience with test driven development, familiar with A/B testing, incremental delivery and deployment. * Experience applying large language models and modern NLP is a plus, e.g. for sequence tagging, text generation, intent classification, or representation learning. * Familiarity with building natural-language, AI-native search experiences is a plus, e.g. autocomplete/smart compose, query understanding, or user-intent modeling. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.  We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $191,000—$225,000 USD