Python Backend Engineer Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to: <l

Work Experience Required: 8 - 12 Years Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build

Présentation du poste : Au sein de l’équipe Data Analytics d'Artefact, vous rejoignez un pôle clé couvrant le dashboarding, l'analytics engineering, la mesure marketing et le low-code data science. Dans un environnement à forte croissance, vous intervenez auprès de grands comptes pour transformer leurs enjeux business grâce à une collecte, un traitement et une visualisation de données performants. Ce qu’on attend de vous : En tant que profil Senior, vous garantissez l'excellence technique et la qualité de la valeur livrée sur vos projets analytiques. Vous jouez un rôle de conseiller de confiance auprès des clients, tout en mentorant des profils plus juniors et en intégrant les derniers usages d'IA Générative appliqués à l'analytics. Vos missions : Piloter la livraison de projets Analytics de bout en bout : du cadrage des cas d'usage avec les équipes métier jusqu'au déploiement de dashboards, pipelines et produits data décisionnels. Concevoir et implémenter des architectures analytiques scalables en appliquant les pratiques modernes d'Analytics Engineering (modélisation de données, tests, qualité de code). Exploiter les développements récents en GenAI pour maximiser la valeur délivrée à nos clients. Extraire des insights stratégiques et les restituer de manière claire et actionnable pour accompagner la prise de décision des parties prenantes. Agir en expert référent auprès des clients : construire une relation de confiance et apporter des recommandations sur les meilleures pratiques d'analyse de données. Mentorer les Data Analysts juniors, partager les meilleures pratiques (ateliers, documentation) et participer à la création d'accélérateurs internes et à la veille technologique. Profil recherché : Expérience & Mindset : 3 ans ou plus d'expérience concrète dans un environnement data-driven, avec autonomie, rigueur et curiosité intellectuelle. Domaines d'expertise (au moins 1) : Dashboarding & Dataviz (Power BI, Looker, Tableau, Superset) Analytics Engineering

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Singapore. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products. As a Senior Quantitative Trader your responsibilities will include Develop and deploy completely automated systematic strategies with short holding periods and high turnover Typical strategies deployed include Alpha-seeking strategies and Market Making Rigorously back-test strategies on in-house research infrastructure Graviton can offer a successful Quantitative Trader Exceptional financial rewards Friendly and collegial working environment Access to advanced trading systems for low-latency execution of strategies Excitement of being a part of a new expanding trading business Requirements : Deep experience in HF/UHF Trading Live HF Trading experience for at least 2 years. PnL Track record with excellent sharpe ratios. Programming experience in C++ or C Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 4 Weeks of paid vacation Regular after work parties Top of the line health insurance for family International team outing

InvGate es una empresa SaaS en constante crecimiento que desarrolla productos destinados al IT management y a la automatización de servicios. Actualmente contamos con clientes en más de 60 países y en industrias tan diversas como bancos, e-commerce, educación y tecnología. Buscamos Software Engineers para InvGate Assets Management, un producto que permite a nuestros clientes gestionar su inventario informático, conocer y explorar su infraestructura, analizar el impacto de los cambios, comprender sus aplicaciones de negocio y las relaciones entre los distintos elementos de su infraestructura, y asegurar el cumplimiento de políticas de seguridad informática, entre otras funcionalidades. Buscamos ingenieros que combinen profundidad técnica con una mirada integral sobre el producto y el impacto de lo que construyen en nuestros clientes. Responsabilidades: Participar en todo el ciclo de desarrollo, desde el entendimiento del problema y el diseño de la solución hasta la construcción, testing, despliegue, monitoreo, resolución de problemas en producción e iteración. Utilizar la IA como multiplicador de la capacidad de ingeniería, incorporándola en las distintas etapas del SDLC para entregar mayor valor, con mayor trazabilidad, menos regresiones y ciclos de validación más rigurosos. Tomar ownership sobre los resultados, comprendiendo el problema a resolver, cuestionando lo necesario y tomando decisiones que contemplen tanto los aspectos técnicos como el producto y el negocio. Trabajar con autonomía y adaptarse a cambios de prioridades, avanzando, validando, aprendiendo e iterando aun cuando las especificaciones no estén completamente definidas. ¿Qué buscamos? Experiencia sólida en ingeniería de software, con una base técnica que te permita evaluar soluciones, detectar problemas y tomar buenas decisiones más allá del código generado por IA. Experiencia real utilizando herramientas de IA para desarrollar software y capacidad para incorporarlas a tu workflow de man

Présentation du poste : Au sein de l’équipe Data Analytics d'Artefact, vous rejoignez un pôle clé couvrant le dashboarding, l'analytics engineering, la mesure marketing et le low-code data science. En tant que Manager, vous intervenez auprès de grands comptes pour piloter des projets d'analyse de données stratégiques, définir des architectures de mesure robustes et faire croître nos expertises. Ce qu’on attend de vous : En tant que Manager, vous garantissez l'excellence opérationnelle et la qualité des livrables sur des projets pluridisciplinaires (data analysts, consultants, software engineers, data scientists). Vous jouez un rôle central dans le cadrage d'offres avancées, la conduite des avant-ventes (pitches) et l'encadrement des équipes, tout en faisant rayonner l'expertise Data Analytics d'Artefact sur le marché. Vos missions : Piloter la réalisation de projets Data Marketing & Analytics complexes : déploiement d'outils de mesure (online/offline), projets de modélisation avancée, CDP, MMM et Clean Rooms. Encadrer des équipes pluridisciplinaires et veiller au respect des plus hauts standards de qualité, de rigueur et d'automatisation (scripting, reporting, développement d'outils). Définir la stratégie et la feuille de route de l'offre Data Analytics : formaliser les meilleures pratiques, développer des méthodologies de mesure innovantes et animer la communauté d'experts. Porter la dimension Data Analytics lors des phases d'avant-vente (pitches) et auprès des décideurs clients pour positionner Artefact comme un partenaire stratégique sur le long terme. Développer l'expertise technique et analytique interne : tester de nouvelles approches (ex. GenAI appliquée à l'analytics, MCP pour la BI, interfaces conversationnelles), créer des accélérateurs et former les équipes. Mentorer les collaborateurs, assurer le suivi des compétences et garantir un environnement de travail collaboratif et exigeant. Profil recherché : Expérience & Leadership : 5 ans ou plus d'exp

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier's Ad Cloud handles millions of bid requests per second, and that number keeps climbing. Behind every request is a chain of decisions: how much to bid, what to recommend, which creative to show, how fast the system responds. Each one is a lever on campaign performance, and at this scale a 1% improvement is enormous. Your job is to find those levers in the data. You will turn campaign, auction, and user-behavior data into insights about where the next performance gain is, prove it with rigorous A/B testing, and drive the change across the organization. This is not a back-office role. You will work hand-in-hand with ML scientists, engineers, product managers, and the operations team, and you are expected to set the agenda with data and push until the improvement shows up in live campaigns. AI now handles much of the mechanics: writing queries, drafting code, producing charts. What it does not do is decide which question is worth asking, notice that a number does not add up, or keep digging when the first explanation is too convenient. That is the job. We are looking for someone who is relentlessly curious about why , and who cannot leave an unexplained anomaly alone. What You Will Do Find where performance comes from. Mine campaign, bidding, and user data to identify the highest-leverage opportunities to improve online campaign performance, and turn them into testable hypotheses. Get to the root cause. When performance shifts or metrics contradict each other, dig u

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role The primary role of the Campaign Analyst is to be the Strategic Pilot of AI – turning AI into ROI. Responsibilities Manage and execute ad campaigns with Appier proprietary AI platform and products. Plan and manage multinational advertising campaigns, formulate localized advertising strategies. Analyze data and campaign performance, configure automated optimization processes, conduct experiments, ensuring client’s KPIs are met with precision and speed. Co-work with sales managers, account managers, product managers, data analysts and on various optimization-related projects. Adjust and improve the effectiveness of AI models. Improve overall performance of the system. Provide historical data and estimation of performance for the business development team. Assist the development of new customers. Who you are: AI & Tech Enthusiast: Tech early adopters. Loves exploring new AI tools to work faster and smarter. Always looking for ways to improve efficiency. Detail-Oriented: Ensures zero-error campaign execution while applying numerical sensitivity to spot anomalies, data discrepancies, and granular insights that others might miss. Hands-On & Proactive: Possesses a strong "can-do" spirit . Approaches challenges with a positive, hands-on mindset , actively seeking solutions rather than waiting for instructions. Cool Under Pressure: Stays calm in a fast-paced environment; can focus and deliver results even when things get busy. Proactive Problem Solver: Good at critical thinking and able

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a member of the Compute Tools team, you’ll design and build the systems that enable Palantirians to succeed. You’ll be the expert and owner of our internal platforms, helping to leverage a combination of Palantir’s own products and open source tools to provide stable and flexible services for a constantly evolving set of use cases. We’re responsible for making architectural decisions that enable sustainable operations in light of that evolving usage. Core Responsibilities Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir's internal compute infrastructure. Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform. Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed. Participate in the on-call rotation for high-severity incidents affecting critical systems. Research and evaluate new technologies to identify where our infrastructure can improve. What We Value Systems programming experience with strong proficiency in Go,Python, or Rust. Deep familiarity with containers (Docker) and orchestration (Kubernetes). Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers. Up to date with modern industry practices and open-source advancements. Solid understanding of distributed systems, APIs, cloud platforms, and onprem infrastructure. Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles. Willingness and eligibility to obtain

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a member of the Compute Tools team, you’ll design and build the systems that enable Palantirians to succeed. You’ll be the expert and owner of our internal platforms, helping to leverage a combination of Palantir’s own products and open source tools to provide stable and flexible services for a constantly evolving set of use cases. We’re responsible for making architectural decisions that enable sustainable operations in light of that evolving usage. Core Responsibilities Apply modern engineering practices to improve the maintainability, reliability, and utility of Palantir's internal compute infrastructure. Drive build-vs-buy decisions and partner with vendors to integrate external technologies into our platform. Collaborate with other teams to understand emerging needs and deliver solutions that help users succeed. Participate in the on-call rotation for high-severity incidents affecting critical systems. Research and evaluate new technologies to identify where our infrastructure can improve. What We Value Systems programming experience with strong proficiency in Go,Python, or Rust. Deep familiarity with containers (Docker) and orchestration (Kubernetes). Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers. Up to date with modern industry practices and open-source advancements. Solid understanding of distributed systems, APIs, cloud platforms, and onprem infrastructure. Hands-on experience with CI/CD pipelines, DevOps practices, and system reliability principles. Willingness and eligibility to obtain

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to: <l

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to: <l

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to:

Work Flexibility: Hybrid What you will do: Work with product development team and help them with requirements management and system engineering. Assist in the deployment of tools such as JAMA etc. Work closely as administrator with functional leaders, organizational units, and subject matter experts on use case for projects and their processes. Train people, execute day-to-day configuration, support, maintenance and improvement of the tools, qualification of the tools and associated processes. Perform and own tasks including, but not limited to: User account maintenance, create filters and custom reports or dashboards for each project, as needed. Write script/ software to customize workflows and create configurations. Manage release cycles and validate the software tools and upgrade, backup, and baseline the project folders within each software tool. What you need: Required Qualifications: Bachelor’s degree in computer science, Computer Engineering or related field is preferred 2 – 7 years of experience Understanding of engineering lifecycle phases and design control processes and knowledge of Requirement Management and Test Management, Traceability. Experience with software and hardware defect tracking process and develop software using Python or any other scripting language & ability to understand and interpret electrical design and systems. Preferred Qualifications: Knowledge of JAMA workflows or similar tools like JI

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the most powerful AI Data Cloud in the world — and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that powers Cortex AI, large language model inference, AI functions, intelligent search, and the next generation of AI-powered experiences on the Snowflake platform. We're looking for a Software Engineer — AI to join our growing Toronto engineering team. You'll design, build, and ship AI-powered systems and services that are used by thousands of organizations worldwide. If you're passionate about building production AI infrastructure at scale and want to work alongside world-class engineers on problems that matter, this is the role. AS A SOFTWARE ENGINEER — AI, YOU WILL: Design, develop, and ship AI-powered features and services — working across model inference, AI functions, retrieval systems, and intelligent application experiences on the Snowflake platform Build production-quality infrastructure for AI workloads — including model serving, embedding pipelines, retrieval-augmented generation (RAG), and AI-driven automation Write clean, performant, and well-tested code in languages like Python, Java, C++, or Go — contributing to systems that operate at enterprise scale across Snowflake's multi-c