601 to 625 of 844 Data Structures Jobs

have a good understanding of AWS You have a thorough understanding of software development and Computer Science fundamentals such as Object Oriented Programming, Data Structures and Design Patterns You are familiar with DevOps, CI/CD pipelines You're collaborative, enjoy problem solving and interacting with clients Apply ...

could be the role for you. Key Responsibilities: Plan, deliver, and assess engaging Computer Science up to KS5. Teach key concepts including programming, algorithms, data structures, cybersecurity, and computational thinking. Foster a creative and inclusive classroom environment where students feel confident exploring technology. Prepare students for examinations ...

Microsoft software engineering best practicesYou have a good knowledge of event driven architectureYou have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patters, AlgorithmsYou have a good understanding of CI/CD and Infrastructure as Code (IaC)You have an appreciation of Azure ...

Knowledge of design patterns and advanced programming techniques and ability to apply them. Knowledge of basic computer science, including multi-threaded approach, algorithm complexity, data structures, graph theory, etc. Experience with dependency injection, unit testing, object mocking,Solid experience of the Software LifecycleThis is a unique opportunity ...

building highly scaled distributed systems and REST services. Should come from a strong development background. Very strong computer science fundamentals in algorithm design, data structures, problem solving, and complexity analysis Thorough understanding of parallel algorithms, concurrency, asynchronous architectures Experience working in an agile software development organization Proven ability ...

building highly scaled distributed systems and REST services. Should come from a strong development background. Very strong computer science fundamentals in algorithm design, data structures, problem solving, and complexity analysis Thorough understanding of parallel algorithms, concurrency, asynchronous architectures Experience working in an agile software development organization Proven ability ...

Knowledge of design patterns and advanced programming techniques and ability to apply them. Knowledge of basic computer science, including multi-threaded approach, algorithm complexity, data structures, graph theory, etc. Experience with dependency injection, unit testing, object mocking,Solid experience of the Software LifecycleThis is a unique opportunity ...

SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance Familiarity with software architecture patterns such as microservices, CQRS, and event ...

yarn. Solid experience with relational databases such as MySQL, PostgreSQL, or Oracle, and SQL query writing. Strong understanding of OOP fundamentals, SOLID principles, and data structures and algorithms. Familiarity with testing frameworks across the stack, such as JUnit, Mockito, Jest, React Testing Library, or Cypress. Familiarity with Docker ...

/C++ in embedded or hardware-adjacent environments* Knowledge of FPGA logic design or hardware description concepts preferred* Solid foundation in object-oriented programming, data structures, and algorithms* Experience with SystemC, QEMU, or hardware modeling is a plus but not required — we will train the right candidate* Must ...

skills, with a demonstrated ability to collaborate effectively with non-technical stakeholders, including Content, Sales, and Customer Success teams Solid computer science fundamentals, including data structures, algorithms, system architecture, and distributed systems Good judgment and practical experience applying best practices when working with AI coding assistants What ...

Experience of full-stack software development principles, architecture and conventions Experience of cloud-native micro-services and distributed systems (ideally AWS) Strong understanding of data structures and architectures, using relational and/or non-relational database approaches A strong understanding test-driven development and testing conventions Experience ...

structure, readable and maintainable code). Hands-on development experience as a full stackdeveloperbuildingenterprise-grade web applications Excellent computer science fundamentals: demonstrable command of data structures, algorithms, and design patterns along with capability to translate them into working, elegant code. Intricate knowledge of controls for consistent deployment ...

chain/off-chain integration patterns and blockchain node interaction Backend Engineering Fundamentals: solid grounding in enterprise software engineering — API design, microservices, data structures, algorithms, and design patterns Security Mindset: awareness of common smart contract vulnerabilities (reentrancy, front-running, integer overflow, etc.) and best practices for secure ...

issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object ...

field of specialism, whether IFRS 9 or IRB credit risk model development (i.e., beyond audit or review activities). Experience in programming languages and data structures. Relevant programming languages include Python, SAS, R, SQL, etc. Thorough knowledge of local and relevant international regulations in financial services. Strong analytical skills ...

with backend development using Rust, Python or Go. Understanding of software development principles including MVVM and UDF. Understanding of Web APIs, OpenAPI standards and data structures. Experience with Docker and containerised deployments. Knowledge of DevOps processes, including CI/CD pipelines and automated testing. Strong communication and collaboration skills. ...

success teams by building lightweight AI‐assisted workflows (e.g., sales enablement aids, support automation) using internal AI tooling. Apply a working understanding of AI data security, privacy, and governance principles when building tools, partnering with the CISO and AI Innovation Committee on anything requiring deeper security review. Work with … generative AI/LLM concepts and enterprise AI copilot tools (e.g., Microsoft Copilot) and how they apply to business problems. Basic understanding of data security, privacy, and governance principles as they apply to AI tools (deep security expertise not required). Experience collaborating cross‐functionally with engineering, product ...

advancing an AI-native approach to drug discovery by making protein interactions programmable. Our platform brings together foundation-model machine learning, a scalable data generation engine, and a partnership track record exceeding $5B in collaborations across the world’s leading biopharma and tech organizations. We’ve recently closed … promising frontiers in modern drug discovery with the potential to treat previously intractable diseases and target ‘undruggable’ proteins. Our technology combines proteome-scale structural data with state-of-the-art generative AI foundation models, and, coupled with our talented team of scientists and engineers, we are uniquely well-positioned ...

track record building and maintaining backend systems and cloud microservices. Our stack is Python, but strong experience in another language works too! Strong fundamentals - Data structures, algorithms and object-oriented programming, applied rather than recited Delivery discipline - Comfortable with testing frameworks, debugging, refactoring, version control and CI/… pipelines Data fluency - A working understanding of SQL and document databases Ownership at pace - You work independently, take business and product ownership and keep moving when requirements evolve You work AI-first - You will use AI daily here, and we mean daily. You do not need to arrive ...

adventure where you can push the limits of what’s possible. As a Lead Software Engineer at JPMorganChase within the AI and Machine Learning Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‐leading technology products … drive outcomes‐oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Will provide technical leadership on data projects across engineers, product managers and stakeholders Will provide mentorship/guidance to a couple of junior engineers Drives team adoption of enterprise‐authorized ...

automated software testing strategy, including evaluating and selecting the best tools and frameworks. Managing and extending our network Source of Truth by developing custom data models, plugins, and state-driven automation jobs. Building and managing CI/CD pipelines to automate the testing and deployment of network changes. Collaborating … Strong experience designing, consuming, and integrating REST and GraphQL APIs using frameworks such as Django REST Framework, FastAPI and Pydantic. Proficiency working with standard data structures, serialisation, and templating languages (e.g., JSON, YAML, Jinja2). In-depth understanding of DevOps principles and Agile software development methodologies (e.g., Scrum ...

velocity of important production teams. Apply AI to the development of the Compiler and to the Compiler itself. Qualifications Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting … search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer ...

system around them that failed: the way information moved, the way decisions got routed, and the way fragmented teams and fragmented data turned solvable problems into tragedy. Our mission is human wellbeing, and we're focusing on the breakthrough technology of personalised medicine. Since the beginning, our proprietary insight … always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world as a result. We're now in 1,100+ clinics, across ...

hands‐on software engineering experience; internships, substantial academic projects and personal projects will also be considered. Strong foundation in software engineering fundamentals, including data structures, algorithms and coding practices. Exposure to Golang (Go) or another backend programming language, with enthusiasm to develop deeper Go expertise. Python … TypeScript fundamentals. Understanding of REST APIs and how modern applications communicate. Basic exposure to Kubernetes, OpenShift or containerised applications. Familiarity with databases or data technologies such as MongoDB and Redis. Basic understanding of authentication concepts such as OAuth and JWT. Awareness of Large Language Models (LLMs) and Generative ...