Python Backend Engineer Jobs

Knowledge Graph & Semantics Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends on connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity, provide greater context and deliver more explainable outcomes. As a Knowledge Graph & Semantics Consultant, you’ll help our clients understand, design and implement solutions using graph and semantic technologies, advanced data management and analytics. You’ll also explore how approved AI tools, automation and AI-enabled workflows can improve the speed, quality and insight of delivery, while maintaining appropriate human judgement, review and responsible AI guardrails. You’ll contribute to the continued growth of Capco’s Data & Analytics practice, helping develop our capabilities, talent and thinking around how graph and semantic technologies can create value for financial services organisations. What You’ll Do Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information. Help clients identify and deliver practical use cases for graph and semantic technologies, advanced analytics and AI. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, modelling, analysis and delivery, with human-in-the-loop review and validation. Build Capco’s graph and semantic c

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. About the Team The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables: Streaming analytics Interactive end-user reporting Data and ML platform for Okta to scale Telemetry of our products and data Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. About the Position This is an opportunity for experienced Software Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. We are looking for experienced Software Engineers who can help design and own the building, deploying and optimizing the streaming infras

About Karya Karya provides AI-enabled earning and learning opportunities to economically underserved communities, and high-quality, ethically sourced datasets to research labs and technology companies. Digital workers earn at least 20 times the local minimum wage. The platform has delivered over 40 million tasks. About the role This role runs live client projects on the Karya platform. The work is the execution layer above the core product: project workflows, data jobs, checks, reports, and delivery. You will work with Operations and client teams on questions of progress, quality, pay, and files, and with platform engineers when a fix belongs in the product. Worker payouts and client deliverables depend on getting these checks right. Responsibilities • Run and monitor data jobs on remote Linux servers, and recover failed jobs from logs and process state. • Configure project workflows, including the handoff from automated processing to human tasks, and track what is in progress, held, or ready to deliver. • Write PostgreSQL and ClickHouse queries for throughput, completion, quality, pay, and delivery status. • Apply completion and quality rules to access, pay, and delivery decisions, after a sample check. • Write Python, SQL, or Bash scripts for those checks and decisions, and keep them in the repository. • Package datasets to client specifications, move them through cloud object storage, and record what has shipped. • Read the TypeScript / Node.js codebase to follow tasks, assignments, payments, and file storage. • Reply to Operations and client teams with the finding, the change made, and what is still open. • Report repeated manual work to platform engineering, with an example. Requirements • PostgreSQL, including joins, aggregates, and JSON fields. • Scripts in Python, Bash, or TypeScript, checked into git. • Ability to read a TypeScript codebase and a relational schema. • Linux for running jobs: SSH, logs, long-running processes, and disk. • Ability to write tec

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. This position requires employees to be primarily located within the Pacific Time Zone and to work Pacific Time business hours. Plaid Support ensures our customers' applications can help their consumers live their best financial lives by ensuring our products continue to operate as expected. We investigate the root cause of integration issues, quantify their scope and impact, and when we can’t fix them ourselves, we work with our Growth and Engineering teams to reach a solution. As we continue to grow, we’re looking for Technical Support Engineers (TSEs) to join the team to help us balance the needs of customers, users and internal stakeholders, while navigating critical technical issues. In this role, you will manage issues from their first symptom to their eventual resolution, communicating with our customers and internal stakeholders throughout the process. People who succeed in this role tend to be empathetic, collaborative, technically minded, and most importantly - customer-centric. They have an interest in learning more about financial services, and are excited to help customers resolve complex issues. TSEs work closely with Plaid’s product and engineering teams, and we have

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. The AEGIS program at Leidos seeking a highly skilled Maximo Application Suite (MAS) Technical Engineer with 8+ years of Maximo experience and advanced Linux proficiency. This role provides architectural leadership, technical direction, and hands on implementation expertise to ensure a secure, scalable, and high performing MAS environment supporting NASA’s Enterprise operations. The engineer will work closely with cross organizational leadership, stakeholders, vendors, and technical teams to ensure consistent platform reliability and adherence to Enterprise integration standards. Primary Responsibilities: Prepare and present project‑related information to executive, leadership, and center teams. Lead installation, configuration, upgrades, patching, and troubleshooting activities for MAS. Lead technical design of Enterprise integration architecture supporting NASA Enterprise systems. Lead implementation and configuration of secure API management and authentication standards. Define API messages, error handling, and monitoring strategies for integrations. Perform complex application configuration and develop automation scripts using Python, XML, JavaScript, and JSON. Develop and maintain complex scripting for MAS configurations across multiple environments. Configure and support Maximo Mobile, including SSO authentication implementations. Create application configurations in Maximo Mobile using the Maximo Application Framework (MAF) Configuration

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. We have an opening for Yield Analysis Engineer for NAND Technology Department in Singapore. We are looking for candidate that is passionate to innovate in data analytics, and curious to ask "what, how and why"? In this role you will be responsible for providing key feedback and direction on yield improvement activity for NAND memory technology! This role requires a high degree of collaboration across virtually all company functions, up to and including the Executive level. As Yield Analysis Engineer , you will be responsible for developing innovative NAND product technologies, define, and execute various effective actions to enable solutions to improve yield, quality, reliability, and hit key milestones & achieve the required performance within committed timelines. Your responsibilities will include, but are not limited to, the following: Discover yield issues in NAND development and identify unique metric or combination of metrics, such as wafer/dice/tile shading, ECATS or other custom metric for issues quantification Interact with process area, process integration, yield, failure analysis, product engineering, design, and layout teams to drive clear definition of yield, cell, CMOS,

Overview: Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets. You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership. This role is hybrid in our Toronto Office What You'll Do: Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure. LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts. Multi-channel session management: stateful user interactions that move seamlessly across channels. Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back. Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes. Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads. Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors. Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them. Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable. Partner with product and compliance stakeholders to encode domain rules into the system. Set engineering patterns for a growing team: code review, observability, incident habits. What You Have: 6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestratio

Developer Advocate We’re looking for an experienced Developer Advocate in our Vancouver Office. Our work informs teams at every level of the company and drives key roadmap decisions. Asana’s developer platform is growing, and we need a credible external voice in the developer and AI community. This role is about presence, trust, and distribution. You will represent Asana in the spaces where developers and builders actually live: on social media, at conferences, in forums, and through the content you create, and you will represent those developers at Asana. We’re looking for the kind of person other developers follow because they consistently reinforce a trusted feedback loop between developers and the companies they’re building with. We need someone who can speak with real authority on agents and agentic workflows — and can articulate, better than anyone outside the company, how Asana creates value in an agentic world. If people in your corner of the developer community already look to you for approaches to AI, agentic workflows, and/or productivity tooling, we want to talk. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and execute developer engagement strategies that drive adoption of Asana’s platform, APIs, and SDKs. Author high-quality technical content, including sample apps, code tutorials, technical blog posts, and API documentation. Engage with the developer community across forums, events, workshops, and social channels, serving as the primary advocate for developer needs. Partner closely with Product Management, Engineering, and Design to provide actionable developer feed

Developer Advocate We’re looking for an experienced Developer Advocate in our NYC Office. Our work informs teams at every level of the company and drives key roadmap decisions. Asana’s developer platform is growing, and we need a credible external voice in the developer and AI community. This role is about presence, trust, and distribution. You will represent Asana in the spaces where developers and builders actually live: on social media, at conferences, in forums, and through the content you create, and you will represent those developers at Asana. We’re looking for the kind of person other developers follow because they consistently reinforce a trusted feedback loop between developers and the companies they’re building with. We need someone who can speak with real authority on agents and agentic workflows — and can articulate, better than anyone outside the company, how Asana creates value in an agentic world. If people in your corner of the developer community already look to you for approaches to AI, agentic workflows, and/or productivity tooling, we want to talk. This role is based in our NYC office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and execute developer engagement strategies that drive adoption of Asana’s platform, APIs, and SDKs. Author high-quality technical content, including sample apps, code tutorials, technical blog posts, and API documentation. Engage with the developer community across forums, events, workshops, and social channels, serving as the primary advocate for developer needs. Partner closely with Product Management, Engineering, and Design to provide actionable developer feedback and hel

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 As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Product Engineering at Nuro spans the teams that build the software our vehicles, operators, and partners depend on every day, from the on-road experience of the fleet itself to the routing engine that decides where it goes. The On-Road Experience team builds the internal tools and platform systems that Nuro's operations, engineering, and partner teams rely on to manage, monitor, and maintain our autonomous vehicle fleet. This is hands-on product engineering work at the intersection of fleet operations and software infrastructure. The systems you build directly impact user-facing features and how reliably & efficiently Nuro operates vehicles on public roads. The Routing team builds the critical services that determine the routes our robots take to reach their destinations safely and efficiently, along with the simulation tools that shape the company's strategy for robot deployment and business expansion. The team is co

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. As a manager of Applied AI Engineers for Anthropic's Megas segment, you will lead a team of deeply technical engineers embedded with our largest and most strategic accounts. These companies are partner-customers: they are among our biggest revenue drivers and also some of our most important go-to-market distribution channels. Each one consumes Claude to transform its own business and distributes Claude through its platforms and marketplaces. Your team works hands-on with their product and engineering organizations as they build on Claude: co-designing complex technical solutions, advising on architecture, developing evaluation frameworks, and guiding them through the most advanced implementation patterns for LLMs. You will hire, coach, and grow this team while staying close enough to the technology to set a high bar for engineering judgment. Your engineers work in account-aligned pods alongside Applied AI Architects, and you'll partner closely with pod leads, Mega Sales, Partnerships, Product, and Research. You'll guide your team from technical discovery through production deployment, turn wins at one Mega into reference architectures and patterns that compound across the others, and channel Mega-driven requirements back into Anthropic's product and research roadmap, all while maintaining our high standards for safety and reliability. This is a fast-moving space at the frontier of what's possible with LLMs, and you'll help define how we scale technical impact across our most important relationships. Responsibilities Build, coach, and grow a team of Applied AI Engineers serving Mega accounts: hire strong technical builders, develop the

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About the Role: Bloomreach's partner ecosystem is a growing part of how our customers get to value. As more implementations are delivered in partnership with systems integrators and agencies, we are scaling our Professional Services team and the Senior Technical Consultant, Partners is central to that growth. In this role, you are the technical expert our partners rely on. You'll enable partner teams on Bloomreach delivery methodology, consult with them on live implementations, and stay engaged after go-live to help them resolve technical challenges and build lasting capability. You'll run enablement workshops, advise on project milestones, surface risks early, and keep internal stakeholders informed on how partner-delivered work is progressing. This is a hands-on, consultative role for someone who enjoys

The Server Programmability team is focused on programming velocity and safety in the core MongoDB Server. We own low-level libraries, runtimes, and tools that allow internal MongoDB developers to develop features in C++ and Rust quickly and safely. We are an agile and small team looking for an experienced engineer to join us. We are looking for someone who is excited about operating systems, development tools, programming languages and low-level C++ libraries. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Candidate Profile 3+ years of experience in Systems programming in C++ or other low-level programming languages Hands-on experience with building production-level code. Experience in C++ is required Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Passion for learning new things in the domains of software engineering, distributed systems, and performance Solid verbal and written communication skills and highly motivated to collaborate with colleagues Position Expectations Understand and improve the current functionality of the MongoDB Server’s Programmability features Lead medium sized projects related to the team’s charter Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery) Own our leadership principles , and exemplify them in your work Continue to learn and be curious in growing your career! Write production-ready code in C++ Write unit tests and integration tests in C++, Javascript, and Python to demonstrate application correctness Investigate the performance characteristics of the server and write performance regression tests Interview candidates for software engineering positions Handle customer escalations Collaborate with stakeholders and engineering teams across the compan

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval. LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support. Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions. Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments. Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders. Innovation Leadership: Identify and drive high-impact o