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Python Backend Engineer Jobs

9,426 active opportunities · Updated for October 2026

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Explore current python backend engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Cohere
📍 Ottawa• Full-time• £265K – £315K/yr
7mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. In this role, you will: Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North. Architect scalable, secure, and customizable NLP

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Robinhood
📍 Chicago• $98K – $115K/yr
7mo ago

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 Workforce Optimization team ensures the right staffing levels are in place to support customers effectively while balancing efficiency and scale. The team works closely with Operations, Forecasting, and vendor partners to align staffing with demand and maintain consistent service levels. Team members focus on measurable outcomes such as service level attainment, forecasting accuracy, and operational efficiency. You’ll contribute to improving how staffing decisions are made and executed across short-term planning horizons! As a Short Term Planning Analyst, you will support staffing performance across a 1–90 day horizon by analyzing data, identifying gaps, and recommending adjustments. You will use reporting, modeling, and trend analysis to improve forecast accuracy and staffing outcomes. This role plays a key part in ensuring the business responds effectively to changing demand, especially during high-impact events. You will also help refine processes to improve consistency, scalability, and decision-making! This role is based in our Denver, CO; Westlake, TX; and Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we belie

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MongoDB
📍 Austin• Full-time• $127K – $249K/yr
7mo ago

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model. This role can be based out of any MongoDB U.S. office or remotely within the United States. Responsibilities Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems Participate in a 24/7 on-call rotation to resolve critical issues Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice You may be a good fit if you Have 6+ years of experience in software development and operating distributed systems Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests) Have deep experience using and extending containerization technologies, preferably Kubernetes Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS) Pos

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Scale AI
📍 Washington• $198.4K – $311K/yr
7mo ago

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer. Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our develo

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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 by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: 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. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est

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Everpure
📍 Santa Clara• $217K – $359K/yr
7mo ago

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 As a Senior SSD Firmware Architect, you will be the visionary behind the intelligence of our proprietary DirectFlash™ technology, fundamentally decoupling storage software from commodity hardware limitations. You will architect high-performance firmware that harmonizes custom controller SoCs with NAND media to deliver unprecedented density and reliability for enterprise and hyperscale environments. By leading the technical strategy between hardware, silicon vendors, and systems teams, you ensure our storage modules don't just store data—they redefine how the world accesses it. WHAT YOU'LL DO Define and drive the firmware architecture for next-generation DirectFlash™ SSD modules, including subsystem design, firmware modularization, and system integration. Work with controller vendors and hardware teams to bring up new SSD controller SoCs and enable features such as PCIe, NAND interfaces, power-loss protection, and telemetry. Develop firmware components supporting NVMe and OCP SSD specifications, ensuring compliance, performance, and interoperability. Debug complex cross-layer issues involving firmware, controller hardware, NAND media, and host systems. Improve SSD data path performance and latency through firmware design and analysis. Review designs, mentor engineers, and improve development tools, testing, and automation. We are primarily an in-office environment and therefore, you will be expected to work from th

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Reddit
📍 United States• Remote• $230K – $322K/yr
7mo ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 8+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (

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Reddit
📍 United States• Remote• $216.7K – $303.4K/yr
7mo ago

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 5+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code

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Okta
📍 Bengaluru• Full-time
7mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis. Responsibility : Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators. Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs. Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth. Write complex SQL queries and use Python to perform advanced data analysis Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions. Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Qualifications: Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. 3-5 years of experience. Expert-level proficiency in SQL. Strong experi

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As a SOC Engineer / Detection Engineer, you will be responsible for detecting, investigating, and responding to security incidents across our environment, while continuously improving how we detect and handle threats. You will work hands-on with our SIEM and incident response processes, and act as a key point of contact between the SOC and other engineering/security teams. Depending on your profile, some of your responsibilities can include: - Incident Response: Lead and support the end-to-end response to security incidents, from detection through containment, eradication, and recovery. - Security Investigation: Conduct in-depth investigations into suspicious activity and alerts, correlating data across logs, endpoints, network, and cloud sources to determine root cause and impact. - Post-Mortems & RCAs: Drive post-incident reviews and root cause analyses (RCAs), documenting timelines, findings, and actionable follow-ups. - SIEM Engineering: Implement, tune, and maintain SIEM use cases, detection rules, correlation logic, and alerting to reduce false positives and close detection gaps. - SIEM Support: Provide ongoing support for the SIEM platform, including onboarding new log sources, troubleshooting data ingestion, and maintaining dashboards/reports. - Cross-Team Collaboration: Partner with Engineering, IT, and other Security teams to remediate findings, validate fixes, and share threat context. - Process Improvement: Identify gaps in detection, response, and documentation, and drive improvements to playbooks, runbooks, and SOC workflows. **Must have:** - Incident Response: Hands-on experience handling security incidents, including triage, containment, and coordination across teams. - Investigation Skills: Strong analytical ability to investigate alerts and logs (SIEM, EDR, network, cloud) and determine root cause.

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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role : We are looking for a curious, smart and “learn it all” Architect with proven experience and a passion for designing solution architectures for our prospects and customers to support and help our growing sales team to achieve revenue goals. You work with the technical teams at our prospects and customers to design an architecture for the integration of our products that will meet their performance, data/information security and business requirements; you will unlock technical blockers that can slow down the adoption of our products and partner closely with our Sales and Value Engineering teams as well as our Product Management, Data Ops and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling and contribution to overall sales team and business success. The work you’ll do: Lead and define the overall architecture, data and cloud strategy for our largest client accounts Engage with customers C-level their strategic objectives with the Celonis technical strategy Be the bridge between our product & engineering teams within Celonis w

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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. Responsibilities Lead the Mechanical Design Verification Plan for New Product Introduction (NPI). Define environmental, mechanical stress, and lifecycle test specifications for complex electromechanical products. Lead Failure Analysis (FA) initiatives using tool analysis to identify root causes. Provide concrete DFM/DFx recommendations to the design team. Responsible for Mechanical Design verification work. Manage Lab and third-party laboratories to ensure testing quality and schedule adherence. Basic Qualifications 5+ years of experience in Mechanical DQA engineering, with proven expertise in Outdoor products and MIL-STD testing. Strong foundation in mechanical engineering, including material validation, structural stability, mechanical strength, thermal performance, and flammability assessments. Excellent problem analysis and solving skills, with a positive and detail-oriented mindset toward ensuring a great user experience. Strong knowledge of reliability test standards, including theory, methodology, and acceptance criteria. Ability to independently plan and execute test items, including fixture design and setup. Effective communication skills to collaborate with cross-functional teams and 3rd party labs. Self-motivated, proactive, and passionate about exploring new regulations, standards, and technologies. Fair English

About the team The Information Security organization advances the overall state of security at Rubrik through purposeful initiatives and coordination of large security projects. Information Security builds technologies, tools, and processes to better enable teams at Rubrik to develop secure software and protect data and systems with appropriate security controls. Information Security also develops systems to monitor and respond to attacks against our systems, provides awareness education to teams on security best practices for data protection, and ensures data sharing relationships with third parties in order to securely protect Rubrik information. About the role The Staff Cloud Security Architect will serve as a critical subject matter expert, responsible for defining, designing, and implementing secure cloud architectures and solutions across our enterprise environments. As a key technical leader, you will collaborate with engineering and cross-functional teams across Rubrik to integrate security across all aspects of cloud deployment, operations, and management. Your strategic insights will help shape cloud security strategies, reference architectures, governance frameworks, and compliance requirements. Your deep technical expertise, ability to influence, build and establish best practices, and thought leadership will ensure the secure enablement of our cloud technologies across our hybrid and public cloud environments. This is a hands-on technical role, and you will be expected to rely on your extensive cloud expertise to make an immediate impact on existing and new initiatives. What you'll do Define and implement cloud security architecture frameworks, principles, and guidelines to secure enterprise cloud environments and workloads. Collaborate with cross-functional teams to ensure security maturity initiatives are prioritized effectively and addressed in a timely and sustainable manner. Partner with cloud security architects, developers, and engineers to

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MR
7mo ago

mthree Gradate Recruitment Program: Tech Roles About Us: mthree gives you a foot in the door to your dream career! We’ve helped 4,000 people start careers in technology, banking and business. For graduates and anyone starting their career, you’ll start with 6-12 weeks of training at our Academy. Then you’ll join one of our clients for 12-24 months (we work with investment banks and other big companies in industries from healthcare to aviation to insurance). You’re supported by us throughout, with pay rises every 12 months and an online learning plan to develop your skills. Afterwards, the majority continue their career with the client. At mthree, we believe in fairness from the start. We don’t lock you in with exit fees. You’ll never have to pay a thing. Join mthree to unlock your potential and go further than you thought possible. What you’ll do: If successful, you’ll work with one of our clients as an mthree Alumni designing, building, testing, and maintaining scalable and stable off-the-shelf applications or custom-built technology solutions. Also, working with a global team, you’ll help support systems including algorithmic trading engines and regulatory reporting. What you need: Degree in Computer Science, Technology, or related STEM subjects Academic aggregate of 60% or higher with no standing arrear Strong programming skills: Java/ Python/ C/ C++/ Others Competitive coding experience will be an added advantage Good troubleshooting and debugging skills Solid software engineering principles (data structures, OOPs, design patterns, multithreading) Understanding of the formal software development lifecycle (SDLC) Understanding of test-driven development How it works: Stage 1: Apply for the position Stage 2: Clear the first round of Aptitude & Coding assessment Stage 3: Clear communication Screening Stage 4: Clear Technical interview Stage 5: Clear Final interview Stage 6: Get selected to join the train

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Micron
📍 Singapore• Full-time
7mo ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Micron Technology’s vision is to transform how the world uses information to enrich life for all. Our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community. Looking to advance your career? Micron is the place for you to expand your caliber by working on key projects and developing the leader in you! As the Test Solutions Engineer, you will be the key project owner for Micron Nand Flash memory test programs. You will be ens

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