Python Backend Engineer Jobs

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Architect Team As a member of the Delivery Architect team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Architect, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Delivery Architect Team As a member of the Delivery Architect team, you will own the post-sales onboarding and data health for customers. Your goal will be to drive data trust, help embed Mixpanel into our customers’ data stack, and deliver on emerging AI integrations — delivering on the full value of Mixpanel as a self-serve analytics platform. You will work and consult with GTM team members and a diverse array of customers to successfully roll out product analytics to their organization and execute on technical projects and services that delight our customers. About the Role As a Delivery Architect, you will be on the front lines with our clients as they integrate Mixpanel into their core product development processes. You will lay the foundation for customers to adopt product analytics and get value from Mixpanel by delivering a world-class, on-time, and value-oriented onboarding experience. With your comprehensive project management knowledge, consultative approach, expertise in the analytics space, and technical knowledge of the modern data stack, you will lead our clients' first experience with Mixpanel as they incorporate product analytics into their data ecosystem as a foundational element. With your deep technical breadth and expertise in the analytics space, you’ll be the expert consultant on

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. About the role: You would work on real hardware, not simulators: racks of pre-release APs and switches, RF test equipment, and the automation that gates every release. You will spend your time finding out why a link negotiated at 100M instead of 10G, why a client did not roam cleanly between APs, or why PoE came up wrong after a reboot, and then building the automated test that catches it next time. Responsibilities: Validate WiFi and switching firmware on pre-release hardware in our lab; Build and maintain the automated test suites that gate firmware releases; Investigate failures down to root cause and escalate to firmware owners with evidence; Turn each recurring field issue into permanent regression coverage; Extend our lab tooling and CI pipelines. Requirements: 2+ years of experience with Python; Solid networking fundamentals: VLANs, routing, WiFi, firewalls; Experience with CI (Jenkins or similar) and Linux/Bash; Experience with AI tools - Claude, Codex, etc; Fluent in English and Latvian. Nice to have: Experience with Jenkins DSL (Groovy), JavaScript, Terraform; Network or system administration background; Embedded or hardware test experience; RF or wireless testing background. Benefits: International work environment and work with global development teams; Ability to deliver software that is used by millions of peo

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. About the role: You would work on real hardware, not simulators: racks of pre-release APs and switches, RF test equipment, and the automation that gates every release. You will spend your time finding out why a link negotiated at 100M instead of 10G, why a client did not roam cleanly between APs, or why PoE came up wrong after a reboot, and then building the automated test that catches it next time. Responsibilities: Validate WiFi and switching firmware on pre-release hardware in our lab; Build and maintain the automated test suites that gate firmware releases; Investigate failures down to root cause and escalate to firmware owners with evidence; Turn each recurring field issue into permanent regression coverage; Extend our lab tooling and CI pipelines. Requirements: 2+ years of experience with Python; Solid networking fundamentals: VLANs, routing, WiFi, firewalls; Experience with CI (Jenkins or similar) and Linux/Bash; Experience with AI tools - Claude, Codex, etc; Fluent in English and Lithuanian; Based in or willing to relocate to Kaunas, as this role needs hands on hardware! Nice to have: Experience with Jenkins DSL (Groovy), JavaScript, Terraform; Network or system administration background; Embedded or hardware test experience; RF or wireless testing background. Benefits: International work environment and work with g

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi

The GTM AI Transformation team is hiring a GTM Engineer to build the agents and automations that run inside Toast's sales motion. You'll write production code in Python against Salesforce, Snowflake, and LLM APIs, extend our sales AI platform (Myko) with custom integrations, and turn call transcripts and deal data into actions that reach reps and managers without anyone asking for them. This is a builder role. You'll own systems from prototype through production operation, and the measure of success is whether reps use what you ship and close faster because of it. You'll report to the Senior Manager of GTM AI Transformation and work day to day with sales leadership, Revenue Operations, Enablement, and Toast's Data and Engineering teams. The role is fully remote in the United States. A day in the life (Responsibilities) Agentic workflows that automate high-volume sales work end to end: follow-up drafting, deal stage updates, task creation, and Slack and CRM notifications, with approval gates and handoffs that keep reps in control. Integrations between our prospecting agents and adjacent systems (quoting, pricing, case creation) so a rep can go from signal to action without leaving their workflow. Pipelines that pull conversation intelligence transcripts into Snowflake and the CRM, and services on top of them that produce next best actions, deal risk flags, and coaching recommendations for frontline managers. The production controls around all of it: evals that catch regressions before reps see them, observability tied to pipeline and revenue outcomes, permissions and sensitive-data handling, error recovery and rollback. A third-party signal layer (intent, news, firmographic change) that flows into account prioritization, and the win/loss data capture that tells us what's working. What you'll need to thrive (Requirements) Proficiency in Python (TypeScript also works) and strong SQL. You write production-grade, tested code, and you can read, modify, and debug cod

At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's Machine Learning Research team builds the foundation for the next generation of AI systems — pushing the boundaries of what's possible with frontier models while ensuring safety, reliability, and alignment at every step. Our work spans generative AI, reinforcement learning and advanced post-training methods, scalable oversight, synthetic data pipelines, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power machine learning pipelines for dozens of industry-leading customers. These models and systems form the backbone of Scale's long-term strategy, enabling billions of tasks monthly and supporting some of the most complex and advanced use cases in the AI ecosystem. As an intern, you'll work on a combination of deeply technical ML applications in production and cutting-edge research problems, with mentorship from world-class researchers and the opportunity to collaborate with leading teams across industry and academia. Interns own real, published or shipped work — not side projects. Example Projects Measure the dangerous capabilities of frontier models and conduct preparedness research Research the science and creation of new benchmarks for frontier models Develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought Research reinforcement learning and post-training methods that improve model reliability on high-stakes tasks Research scalable oversight protocol

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so

About the Team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research teams. Build rel

Internship Details Location: Bucharest, Romania Duration: 6 months full-time (1st July 2027 to 31st December 2027) Eligibility: Romania-based students enrolled in a: Bachelor's degree program, graduating in 2027 Master's or Ph.D. degree program, graduating in 2027 or 2028 Hybrid arrangement: 3 days onsite at the office, 2 days remote work from home Annual Pay : 130.000 RON The Opportunity Adobe is seeking dedicated and curious Software Engineer interns to help design, build, and evolve the systems that power our products and platforms. As an intern, you’ll work in an AI-enabled development environment, where modern tools accelerate how software is built and tested. You’ll collaborate with experienced engineers and multi-functional partners, including designers and product managers, to contribute to real-world systems while continuing to build your technical and problem-solving skills. Join us for an internship in one of several open project areas. Whether your strength is Java, JavaScript, C&#43;&#43;, or Python, there’s a place for you to contribute and grow. What's in it for you? Real impact: You’ll participate in important engineering projects that have a direct effect on Adobe’s products and platforms. Work alongside knowledgeable teams, address authentic challenges, and grow skills that count. Unforgettable memories: Our Internship Program is built to accelerate both personal and professional growth through curated learning sessions, mentorship, and peer networking. Authentic culture: At Adobe, you’re encouraged to be yourself. Our values: Create the future, Own the outcome, Raise the bar, and Be genuine build a culture where innovation thrives, ownership is celebrated, and authenticity is respected. <br

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. Responsibilities include, but not limited to: Partner with stakeholders from Micron manufacturing, planning and supply chain departments to identify, analyze, and solve complex business problems. Design, develop, and deploy digital twin solutions using Operations Research, mathematical optimization, and Discrete Event Simulation techniques. Design and develop production-grade applications, including data pipelines, data cleaning, modeling engines, APIs, and user-interface applications. Transform large and diverse datasets into actionable insights, decision-support tools, and scalable software solutions. Drive deployment, adoption, benchmarking, and continuous improvement of solutions across Micron's global manufacturing sites. Collaborate with Data Scientists, Product Owners, AI Engineers and domain experts throughout the solution lifecycle. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Minimum Qualifications &

Software Product Manager Graduate Roles - HP Solutions (HPS) Description - T h e following posting is a pipeline requisition, meant to accumulate candidates for 2026 & 2027 . Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc . HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship and HP will not provide any assistance or sign documentation in support of immigration sponsorship including Optional Practical Training (OPT). About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas you bring to HP, Inc. We are hiring students and new graduates with a diverse set of skills and experiences to join us, across the different organizations that make us HP, Inc. Our new grad program is intended to help you learn and grow at HP, give you an opportunity to make an impact, and work with leading edge technology. At HP, yo

Job ID: 111269 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. Responsibilities: Build and own features end-to-end from product specs through deployment and maintenance, ensuring high quality at every stage. Drive frontend architecture for modern web applications using React, TypeScript, and/or Next.js. Collaborate cross-functionally to integrate emerging technologies into our evolving infrastructure. Shape the roadmap by contributing technical perspective on architecture decisions and business priorities. Write maintainable code with comprehensive testing, clear documentation, and thoughtful design. Mentor through code reviews that prioritize both quality and knowledge sharing. Support your team through pairing, healthy technical debates, and a culture of mutual growth. Interface with stakeholders to gather requirements, communicate progress, and respond to technical questions. Experience: Education and Experience: Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field. 1 year of experience in job offered, software development, or related occupation. Skills: Experience with Python and Flask. Experience with AWS services (DynamoDB and SQS) and Kubernetes. Experience with algorithms, data structures, and object-oriented programming. Experience with SQL or NoSQL databases. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity

Systems Engineer (Experienced or Lead) Company: The Boeing Company is seeking a Systems Engineer s to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams . Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world – including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring for a broad range of experience Systems Engineering disciplines including, Experienced and Lead Levels: Systems Architecture , Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 7+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap