Python Backend Engineer Jobs

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. SoFi’s Credit team manages credit risk activities for our lending products (Student Loan Refinance, Private Student Loan, Personal Loan, Credit Card, and Mortgage) - including credit strategies/policies for new account origination and portfolio management, collections/recovery strategies and operations, and risk and operational data science and analytics. The team designs data-driven strategies to ensure the growth in lending is consistent with the company’s risk appetite and helps create the products and experiences that put our members’ interests first. The Credit Strategy Lead will work in the Credit team and have responsibilities to analyze and evaluate data to develop and propose value-added credit risk strategies and models for SoFi’s lending products, including Personal Loan, Student Loan Refinance, Private Student Loan, and Credit Card. The Credit Strategy Lead will collaborate with cross-functional teams such as Business Units, Capital Markets, Product and Engineering, and use business knowledge and quantitative and analytical skills to drive revenue, control risk, and provide value to the company and consumers. The ideal candidate will possess a data-driven analytics background and the strategic acumen to direct a function that draws strategic insights from data using database and statistical anal

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: Are you a strategic thinker and proven problem-solver with deep expertise in modern IT ecosystems? We're seeking a Sr. IT Systems Engineer passionate about driving automation, maturing enterprise workforce identity and access management (IAM), and architecting scalable, secure SaaS integrations. This senior individual contributor role serves as a key technical resource, partnering closely with IT Services, Information Security, HR, Finance, and Engineering teams. You'll own the deployment and integration of mission-critical IT systems, act as the primary escalation point for complex IT outages and architectural challenges, and guide the evolution of our hybrid infrastructure to support rapid business growth. RESPONSIBILITIES: Lead the design, implementation, administration, and optimization of core SaaS platforms including Okta, Google Workspace, Slack, Atlassian, and other IT tools. Own end-to-end support, monitoring, troubleshooting, and performance tuning of applications, systems, and their complex interconnections—ensuring high availability, security, and seamless user experience. Help architect and advance our workforce Identity and Access Management program

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster. The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our engineers and customers. What You’ll Do Design, build, and operate scalable cloud infrastructure in AWS supporting a high-scale observability platform. Improve system reliability, performance, and operational visibility across development and production environments. Develop and maintain CI/CD pipelines and internal tooling to improve developer productivity and deployment safety. Identify and mitigate security risks, and help maintain intern

About the Team Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We build robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, accelerating progress towards AGI. Within Training Runtime, the Runtime Foundations team develops the distributed OS responsible for orchestrating the large numbers of processes that make up modern training workloads and providing all necessary observability and resilience to operate in frontier scale environments. Our runtime sits beneath training frameworks and on top of research infrastructure, ensuring jobs run reliably across massive clusters while maintaining performance, stability, and observability. Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs. About the Role As a Training Runtime: Runtime Foundations Engineer , you will work on the software that ties thousands of computers together and exposes them as a unified system. This system has to serve individual researchers running multiple parallel experiments, as well as our largest training runs spanning 100’s of thousands and even millions of machines and accelerators. This requires easy to use, introspectable systems that can promote a fast debugging and development cycle, as well as relentless optimization for scale while maintaining stability and performance throughout. You will work primarily in Codex + Rust , building high-performance asynchronous systems with a strong emphasis on performance, correctness, resilience, and scalability. Working at this scale and at the frontier of AI development poses novel challenges. We support many different types of research, and the problems you will be working on are highly ambiguous and require a superb ability to jump into novel d

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. The Product Security team ensures that Snowflake products are built and shipped with the highest level of security. Our team drives the security posture of Snowflake products and is responsible for embedding security into every stage of the product lifecycle, from design through deployment and beyond. We design and build frameworks, systems and services that keep Snowflake secure. As a Principal Software Engineer II on the Product Security team, you will be the senior technical authority for Product Security and play a critical leadership role in shaping and advancing Snowflake’s security. This is a unique opportunity to define and influence our long-term security strategy and have a direct impact on the security of the Snowflake platform and the trust of our customers. You will operate across organizational boundaries, guiding major security initiatives, influencing architectural decisions at the highest levels, setting the technical direction for the organization, and ensuring consistent security excellence across all product teams while working closely with business leaders to advance Snowflake’s business. The role requires deep expertise in security, software engineering, distributed systems, software infrastructure, AI/ML, applied cryptography, threat modeling and clou

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 Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI. AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL : Customer Engagement & Advisory Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches Extract business requirements from customers and translate them into a well-architected recommendation Develop and provide forward-looking guidance and future-state roadmaps Leverage known best practices and solutions to reduce risk to customer implementations Collaborate with Snowflake “Go to Market” teams and product teams to

Title: Senior Site Reliability Engineer - I, Product Area Focus Location: Noida (Hybrid) Summary of role Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams. Responsibilities Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities. Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap. Participate in defining, evolving, and managing SLOs for several teams within your product area. Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components. Complete projects to optimize and tune on-call experience for your engineering teams. Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement. Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly. Work closely with the developer infrastructure teams to expedit

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a highly skilled Senior Image Quality Engineer to take ownership of image quality development for our IP camera portfolio. The ideal candidate has deep expertise in camera ISP tuning, 3A algorithm optimization, sensor characterization, and embedded imaging pipelines. This role involves close collaboration with cross-functional teams and offers significant technical ownership. Key Responsibilities Lead end-to-end image quality development for assigned camera platforms. Perform ISP tuning across noise reduction, sharpening, color correction, gamma, HDR/WDR, temporal filtering, and related modules Develop, evaluate, and optimize 3A algorithms (AE / AWB / AF). Conduct both subjective and objective IQ evaluations using lab tools and real-world scenes. Collaborate with firmware, hardware, optics, and product teams to resolve IQ issues and improve performance. Perform sensor analysis, lens shading tuning, black-level calibration, and other calibration tasks. Support ISP integration and optimization on Ambarella and SigmaStar (sstar) SoCs. Build automation scripts and analysis tools using Python or C/C++. Work with manufacturing and validation teams to ensure consistent IQ quality in production. Candidate Profile & Qualifications Bachelor’s or Master’s in Electrical Engineering, Computer Science, Imagi

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Imagine Product team is redefining AI-driven media experiences for Grok users worldwide. In this role, you’ll build and scale robust, high-performance systems that power immersive, multi-modal media interactions—leveraging cutting-edge AI to enable seamless generation, processing, and delivery of images, video, audio, and beyond. Your work will drive engaging, real-time user experiences that captivate and delight millions, turning advanced multimodal models into production-grade features. If you’re a driven problem-solver passionate about AI, media technologies, and creating scalable solutions that shape the future of consumer AI, this is your opportunity to make a lasting impact. RESPONSIBILITIES: Design and implement scalable systems to support Grok's AI-driven media experiences, ensuring high performance, reliability, and low-latency at global scale. Architect robust infrastructure for real-time multi-modal interactions, including handling generation requests, media processing, and seamless integration with frontend and model serving layers. Build and optimize large-scale data pipelines to ingest, process, and analyze multi-modal data (images, video, audio

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure Cloud Azure Native is already live and generally available—we’ve shipped the first version of the service, and we’re now focused on making it better every quarter: expanding use cases, entering new markets, and raising the bar on reliability and developer experience. Our Foundation team owns a Go‑based control‑plane service that orchestrates how customers consume enterprise‑grade block storage natively in Azure. Around it, we work with a modern cloud stack including Temporal and other platform services for workflows, automation, and observability. This is a production cloud service, not an internal tool: the code you write directly shapes how customers deploy, scale, and operate storage in their Azure environments. This is a rare opportunity to work on a core storage service in a major public cloud , in a joint effort between Everpure and Microsoft. You’ll design and evolve APIs and service behavior that sit in the critical path of real workloads, collaborating closely with engineers across both companies. We move fast without breaking customers: clear API contracts, long‑lived interfaces, solid test automation, and CI/CD are part of the job, not side projects. If you want to own services end‑to‑end, solve real distributed systems problems in the public cloud, and see your work reflected directly in how Azure customers use storage, this is the place to do it. WHAT YOU'LL DO Own and evolve a production clo

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences. RESPONSIBILITIES: Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences). Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video

Your Mission As an AI Architect you will define scalable and resilient AI agent architectures while establishing reusable patterns, components, and frameworks to support consistent and efficient development. What You’ll Do Design and implement scalable, fault-tolerant agentic architectures. Develop and maintain traceability, monitoring, and evaluation mechanisms for AI systems. Implement guardrails and security measures to ensure safe and compliant AI usage. Build and optimize Retrieval-Augmented Generation (RAG) pipelines and vector search frameworks. Collaborate with stakeholders to define requirements and communicate technical concepts effectively. Evaluate the feasibility, practicality, and risks associated with AI architectures and workflows. What We’re Looking For Deep understanding of agentic architectural patterns and their practical applications in technology and finance. Proficiency in agentic orchestration frameworks (e.g., LangGraph or similar). Hands-on expertise in Python, with knowledge of both API-first development practices and traditional service-based architecture. Experience with traceability, monitoring, and evaluation techniques. Knowledge of cloud platforms and experience designing cloud-based AI solutions. Understanding of AI governance principles and practices. Excellent verbal and written communication skills for collaboration across technical and non-technical teams. Fluency in German and English Why Join Us Deliver high-impact, transformational data strategies for leading financial institutions. Work in a collaborative, entrepreneurial culture where your ideas shape the future. Access continuous learning , training, and industry certifications. Influence not only client outcomes but also the strategic direction of our data practice. Be part of a team that’s redefining the future of digital financial services . Capco’s #BeYourselfAtWork culture means we celebrate individuality and work in an environment where div