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

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

Nearform

Senior Python Software Engineer (Perm, USA, Remote + Travel) This is a full-time, permanent opportunity for candidates based in the United States and authorized to work without sponsorship. 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 Senior Python Engineer role As a Senior Engineer at Nearform your main task will be designing & building applications using Python. However as you’ll likely work on a variety of projects your responsibilities may also include: * Supporting component design, development and maintenance and taking responsibility for personal technical quality standards within the project team. * Assisting with defining structured practices, especially in source code management, building and deployment. * Designing and implementing data storage solutions. * Optimising performance in applications for maximum speed and scalability. * Getting feedback from users and clients, and building solutions for them.  * Assisting with the analysis of client requirements. * Working with and supporting Technical Leaders in project execution and timely delivery. * Collaborating with client teams. What we are looking for in this person: * Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience. * Deep knowledge and experience with the Python language and modern AI frameworks. * Experience with AI-native development practices and tools. * Understanding of AI and agentic workflows, with a drive to stay at the forefront of emerging LLM technologies. * Practical experience of delivering in an agile environment. * Practical experience and knowledge of developing real-world solutions. * Deep understanding of versioning control tools - e.g. Git. * Testing experience and familiarity with testing tools at all levels, unit, integration and end-to-end testing. * Practical and real-world experience working with databases and cloud environments. * Experience with automation, CI and CD. * Experience building software collaboratively using pull requests and code reviews * Excellent communication and collaboration skills. * Professional proficiency in English. Nice to have: * Experience with AI application development and Agentic frameworks and platforms (e.g., LangGraph, Agentspace, etc.) * Hands-on experience working with Golang * Hands-on experience in the Frontend working with React  * Deep understanding of Kubernetes 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 $180,000 + Bonus & Benefits

Data Scientist, Platform

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: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, Engineering, and Product to provide actionable recommendations and tools based on effective, timely, and granular measurements. The Difference You Will Make: We are seeking experienced Data Scientists to serve as technical anchors across our team’s two pillars. The ideal candidate combines depth in causal inference, experimentation, and customer relationship modeling with the ability to drive rigor in solutions and data-informed decision making across the team and our cross-functional partners. * Actionable: Deliver insights that drive confident business decisions. * Impactful: Prioritize projects based on their expected value to Airbnb. * Balanced: Adapt methods to business questions and data realities, acknowledging limitations. * Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. * Innovative: Invest in advancing measurement science and developing new methods. * Influential: Share learnings across Airbnb and the broader data science community. A Typical Day: * Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives. * Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts. * Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns. * Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies. * Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts. Your Expertise: * PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience. * Deep knowledge of causal inference methodologies and experimentation techniques. * Proficiency in statistical programming (Python or R), database usage (SQL), and agentic coding. * Ability to communicate complex concepts clearly to stakeholders at varying technical levels. * Proven track record of solving business problems through data science methods. Preferred Expertise: * PhD in Economics, Statistics, Marketing, or a related field. * Passion for marketing and consumer science, with a desire to stay informed about the latest academic research. * Familiarity with Bayesian modeling and its applications in marketing. * Experience with causal ML modeling. * Experience in developing end-to-end models for data-driven decision-making. 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 $151,000—$175,000 USD

Sr. Manager, Incident Management and Site Reliability Engineering

Peloton

ABOUT THE ROLE At Peloton, we provide a seamless experience for our members. To achieve that, our internal engines—Finance, HR, Supply Chain, and Legal—must run with the same precision as our world-class fitness content. As the Sr. Manager, Incident Management and Site Reliability Engineering for Internal Systems, you will lead the team responsible for the "Order-to-Cash," "Procure-to-Pay," and "Record-to-Report" lifecycles. You aren't just managing infrastructure; you are the architect of business continuity. You will lead a team of high-performing SREs to ensure our global SaaS ecosystem (NetSuite, Coupa, Workday) and underlying network infrastructure are resilient, observable, and ready to scale. YOUR DAILY IMPACT AT PELOTON * Lead, mentor, and grow a team of SREs. Conduct 1:1s, define career growth paths, and foster a culture of high accountability and psychological safety * Transition from reactive support to proactive engineering. Align the team’s quarterly goals with broader Finance and Supply Chain digital transformation initiatives * Architect observability across complex business paths (e.g., ensuring a customer order flows from e-commerce through supply chain into the financial ledger) * Partner with business owners to define and track Service Level Objectives (SLOs) and Error Budgets for critical SaaS integrations * Own the Major Incident Response process for corporate systems. Ensure "War Rooms" are efficient and result in actionable improvements * Lead the Root Cause Analysis (RCA) process, ensuring a culture of continuous learning and systematic "toil" reduction * Oversee the reliability of API-driven connections and identity management (Okta/Azure AD) across our tech stack * Champion "Infrastructure as Code" (IaC) to automate manual hand-offs between business systems using Python, Go, or Terraform YOU BRING TO PELOTON * 8+ years in SRE, DevOps, or Production Engineering, with 2+ years of direct people management experience * Deep understanding of Order-to-Cash or Procure-to-Pay cycles. You can translate a "database lag" into its specific impact on warehouse shipping or financial reconciliation * Management of enterprise ecosystems (NetSuite, SAP, Workday, Salesforce) * Solid grasp of Networking (SD-WAN, VPNs), Identity (IAM), and Endpoint Management * Proficiency with Datadog, Splunk, New Relic, or Prometheus * Proven ability to communicate technical risk to non-technical stakeholders (CFO, General Counsel, Head of People WHAT SUCCESS LOOKS LIKE IN 6 MONTHS * You have established a predictable sprint velocity and a clear 12-month reliability roadmap for your direct reports * You’ve launched an Executive Health Dashboard that provides real-time visibility into the health of Peloton's financial and logistical "nervous system" * Through your team's automation efforts, you have reduced manual toil and decreased the Mean Time to Recovery (MTTR) for Tier-1 internal outages by 20% #LI-DD1 #LI-REMOTE #LI-DD #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position to be performed remotely from any Peloton office or facility, in any U.S. State and any location therein. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: * Medical, dental and vision insurance  * Generous paid time off policy * Short-term and long-term disability * Access to mental health services * 401k, tuition reimbursement and student loan paydown plans * Employee Stock Purchase Plan * Fertility and adoption support and up to 18 weeks of paid parental leave  * Child care and family care discounts * Free access to Peloton Digital App and apparel and product discounts * Commuter benefits and Citi Bike Discount * Pet insurance and so much more! Base Salary Range $190,800—$267,250 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.