Senior Lead Python Jobs

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 7–10 years of experien

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

MongoDB Pre-Sales Solutions Architects are technical business advisors who help customers design, justify, and adopt reliable, scalable systems using MongoDB’s data platform. They own the technical strategy across complex opportunities—from discovery and qualification through architecture, proof of value, executive alignment, and successful adoption—and connect technical decisions to measurable business outcomes. You’ll partner closely with Account Executives, Sales Leadership, Customer Success, Professional Services, and ecosystem partners to shape multi-threaded account strategies, build champions, de-risk complex architectures, and drive expansion. You’ll serve as a trusted advisor to developers, architects, operations leaders, and business executives, helping organizations modernize legacy systems, build AI-powered applications, and realize measurable value from MongoDB. We are looking to speak to candidates who are based in Tokyo for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to lead architecture reviews for complex, multi-component applications and platforms, identifying risks, evaluating trade-offs, and providing clear guidance to modernize, optimize, and de-risk the solution Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to partner with Sales Leadership and Account Executives on multi-threaded account and territory strategies, prioritize opportu

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million registered users across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Senior Finance Systems & Data Engineer , you'll join the Controlling & Transformation team based in Copenhagen , working to turn messy finance data into infrastructure the whole company can trust. To be upfront: the pipes are still being built. You won't inherit a polished warehouse — you'll be the person who helps shape what it will look like. This is a role for someone who wants ownership of a foundation, not a seat next to one. What will you do? Own the design of Lunar's financial data architecture, the flows from our core banking platforms through the ledger and data warehouse into Business Central, and set the direction for how it evolves Lead the automation of the month-end close, replacing manual steps cycle by cycle until it's fast, reliable and boring, starting with the reconciliations between source systems and the general ledger Get hands on when data issues appear. You'll query the data yourself, reconcile it, find the root cause and drive it to resolution rather than passing it on Be the system owner for Business Central and other relevant finance systems, covering configuration, access, releases and incidents, and hold tech and external vendors to designs that work for finance from the start Act as the bridge between finance, product and tech: set the standard for data quality across finance source systems, translate finance's needs into requirements the data squads can build against, and rethink core processes with AI What are we loo

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The work: We're looking for a Senior Data Scientist to drive analytics across Ripple's product and business portfolio. You'll build the scientific frameworks teams use to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of your analysis. In this role, you'll partner with product and business leads to frame the right questions, bring rigor to how they're answered, and make sure decisions rest on a consistent, thorough foundation. You'll take on ambiguous, high-impact problems, build analyses and tooling others can reuse, and raise the analytical bar of the teams you work with. What you’ll do: Serve as the data science lead for one or more product or business areas — Payments, Stablecoin, or Custody — applying strong me

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Prime team's mission is to build Bitstamp's prime brokerage for institutional clients — the platform that lets hedge funds, market makers, and professional trading firms fund, trade, borrow against, and settle positions at scale. We build the systems that move real institutional money: cross-venue settlement, credit against collateral, matched-book lending, and the bridge that brings tokenized securities to our order book. These are correctness-critical systems where a wrong answer can't be cheaply undone — getting them right is the whole job. As a Senior Software Engineer , you will own the design and end-to-end delivery of the systems at the core of that mission. You'll lead other engineers through problems of high ambiguity, set the technical bar for how we build for failure and not just the happy path, and be a go-to technical partner for the team, our stakeholders, and our counterparts across Robinhood. This role is based in our Slovenia office, with in-person attendance expected at least 3 days per week . At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intenti

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us at the heart of trust? We’re currently looking for a Senior UX researcher to join our team at Trustpilot. Our goal is simple: to become the most trusted reviews platform in the world. We will achieve this by being ready and willing to disrupt ourselves through innovation, data and insight and adding product professionals with ambitions that match our own. As Senior UX Researcher, you'll be the go-to expert on measuring how people and businesses experience trust on Trustpilot , from reading a review to deciding our platform is worth paying for. You'll own the quantitative research agenda for your product areas, set the bar for statistical rigour across the team, and partner with Data Science to build a shared measurement culture. What you'll be doing: Research strategy & execution Design and own the quantitative research roadmap for your product areas, e.g. attitudinal measurement, behavioural analysis, and longitudinal tracking. Lead large-scale surveys (validated scales, NPS derivatives, trust-perception metrics) and log-data/behavioural analytics (funnels, A/B tests, cohort and retention modelling). Build measurement frameworks that define what ‘good’ looks like for review-reading, purchase-decision, and business-subscription journeys and track them over time. Quantitative methods Lead advanced quantitative research - surveys, behavioural analytics, experimentation, predictive modelling using statistical rig

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us at the heart of trust? We’re currently looking for a Senior UX researcher to join our team at Trustpilot. Our goal is simple: to become the most trusted reviews platform in the world. We will achieve this by being ready and willing to disrupt ourselves through innovation, data and insight and adding product professionals with ambitions that match our own. As Senior UX Researcher, you'll be the go-to expert on measuring how people and businesses experience trust on Trustpilot , from reading a review to deciding our platform is worth paying for. You'll own the quantitative research agenda for your product areas, set the bar for statistical rigour across the team, and partner with Data Science to build a shared measurement culture. What you'll be doing: Research strategy & execution Design and own the quantitative research roadmap for your product areas, e.g. attitudinal measurement, behavioural analysis, and longitudinal tracking. Lead large-scale surveys (validated scales, NPS derivatives, trust-perception metrics) and log-data/behavioural analytics (funnels, A/B tests, cohort and retention modelling). Build measurement frameworks that define what ‘good’ looks like for review-reading, purchase-decision, and business-subscription journeys and track them over time. Quantitative methods Lead advanced quantitative research - surveys, behavioural analytics, experimentation, predictive modelling using statistical rig

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us at the heart of trust? We’re currently looking for a Senior UX researcher to join our team at Trustpilot. Our goal is simple: to become the most trusted reviews platform in the world. We will achieve this by being ready and willing to disrupt ourselves through innovation, data and insight and adding product professionals with ambitions that match our own. As Senior UX Researcher, you'll be the go-to expert on measuring how people and businesses experience trust on Trustpilot , from reading a review to deciding our platform is worth paying for. You'll own the quantitative research agenda for your product areas, set the bar for statistical rigour across the team, and partner with Data Science to build a shared measurement culture. What you'll be doing: Research strategy & execution Design and own the quantitative research roadmap for your product areas, e.g. attitudinal measurement, behavioural analysis, and longitudinal tracking. Lead large-scale surveys (validated scales, NPS derivatives, trust-perception metrics) and log-data/behavioural analytics (funnels, A/B tests, cohort and retention modelling). Build measurement frameworks that define what ‘good’ looks like for review-reading, purchase-decision, and business-subscription journeys and track them over time. Quantitative methods Lead advanced quantitative research - surveys, behavioural analytics, experimentation, predictive modelling using statistical rig

Opportunity Overview: We are looking for a detail-oriented Senior Actuarial Support Analyst to join our Actuarial team. In this role, you will be responsible for evaluating cost-saving initiatives that enhance the efficiency and effectiveness of the prior authorization process. The ideal candidate will have extensive experience in healthcare analytics, financial modeling, and prior authorization, along with a strong strategic mindset and data-driven problem-solving skills. The work will be fast-paced and project-based, with evolving needs - requiring curiosity, flexibility, and grace under pressure. At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunities. You will be part of the Actuarial team and develop & maintain cost savings models. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Design and maintain complex financial models to track and analyze cost-saving initiatives, providing regular updates and insights to senior leadership and stakeholders. Perform advanced data analysis to assess prior authorization & claims trends, decision patterns, and cost drivers. Lead the design and development of financial models to quantify the impact of proposed cost-saving initiatives and forecast cost reduction outcomes for business cases. Use statistical and data visualization tools to identify trends, patterns, and anomalies in claims data that may indicate areas for improvement on savings. Prepare detailed and executive-level reports and presentations that summarize cost-saving achievements, project performance, and future cost-saving potential. Act as a trusted advisor to leadership and key internal & external stakeholders, providing strategic insights, recommendations, and guidance on cost-saving strategies. Work closely with clinic

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview: We are seeking a Senior Director of Software Engineering to lead the architecture, development, and global scale-out of our Security Service Edge (SSE) platform. This role is responsible for building and evolving our cloud-native security platform that delivers comprehensive protection across users, devices, applications, data, and network traffic — spanning branch, hybrid, multi-cloud, and internet environments. The ideal candidate is a seasoned engineering leader with deep expertise in distributed systems, cloud-native architecture, and enterprise security platforms. You will shape the long-term technical strategy, drive execution excellence, and build a high-performing engineering organization in India that supports a globally deployed SaaS platform. Key Responsibilities: • Define and execute the long-term engineering roadmap for the SSE platform aligned with business objectives. • Build, mentor, and scale high-performing engineering teams. • Establish strong architectural governance, engineering best practices, and quality standards. • Champion secure-by-design principles across application code, infrastructure, and CI/CD pipelines. • &

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model