Job Description: We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data-driven applications. This role requires a deep understanding of Python, web development frameworks, data processing, and database management. Roles and Responsibilities: Core Python: Be proficient in the concepts and features of the Python language , experienced with web frameworks like Flask and FastAPI for developing RESTful APIs, and skilled in asynchronous programming using asyncio. Experience with handling concurrent connections and optimizing I/O operations. Should have a deep understanding of microservices architecture and be capable of writing clean, efficient, and maintainable code. Security Best Practices and Requirements Understanding of security practices for microservices, including authentication, authorization, and encryption. Experience with securing APIs using OAuth, JWT, and API gateways. Web Framework Development: Design, develop, and maintain scalable web frameworks using Python. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Ensure the web frameworks are secure, performant, and maintainable. Have a sound knowledge of one or more web frameworks that are based on Python, such as Django, Flask, Pyramid, etc. Should have the know how to use the framework's features, such as routing, templating, database integration, authentication, testing. Object Relational Mappers (ORMs): Develop backend systems to serve datasets through APIs and other interfaces. Implement data access layers, integrating with various databases and data storage solutions. Optimize backend code for performance, scalability, and reliability. Be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provi
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AI/ML Dev - Chatbots • 8+ years of experience in Data/AI Projects • Understanding of end-to-end architecture for Generative AI solutions aligned with business goals. • Experience in Azure OpenAI integration (GPT models, embeddings) with prompt engineering and model tuning. • Programming experience in Python for AI project is a must • Designs scalable RAG systems using Azure AI Search, vector databases, and secure data pipelines. • Knowledge of MLOps and CI/CD workflows using Azure DevOps and automated testing frameworks. • Establishes Python coding standards, reviews code, and mentors development teams. • Knowledge of deployment and governance of AI applications across Azure infrastructure. • Work with cross function teams (IT/ Non IT) to help the development teams build the solutions faster and more efficiently.
Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them. You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators. The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe. You will: Drive some of our most critical operational processes Improve existing processes and tools globally Collaborate with stakeholders to improve processes for new and existing customers Create an effective feedback loop between the frontline, product, strategy, and customers Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy Ideally you'd have: Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business Experience leading day to
TextNow is on a mission to make communications affordable and accessible for everyone. As a full MVNO operating our own mobile core network over LTE and 5G NSA, we have the unique advantage of controlling our network infrastructure end-to-end. We operate the HSS, PGW, and other critical network functions, giving us the flexibility to innovate and deliver exceptional service to millions of users. About the Role Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. T extNow is looking for a new SecOps team member to secure, monitor , and enable automated response within our infrastructure. What You’ll Do Ensure Secure & Reliable Systems: Design, implement, and maintain security-focused infrastructure to protect TextNow’s services while ensuring reliability and scalability. Security Automation & Infrastructure as Code: Develop and enforce best practices using Terraform, Ansible, Crowdstrike , and AWS security tools , ensuring secure configurations, automated compliance checks, and infrastructure as code. Threat Detection & Incident Response: Participate in an on-call rotation to respond to security incidents, investigate vulnerabilities, and implement proactive measures to prevent future threats. Work closely with engineering teams to remediate security risks. Monitoring & Logging for Security: Improve observability by implementing security monitoring solutions, logging best practices, and alerting mechanisms to detect anomalies and suspicious activity. Access Control & Identity Management: Manage IAM roles, permissions, and policies to ensure least privilege access and enforce security controls across cloud and internal systems. Collaboration & Security Advocacy: Wo
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? Adoption of AI is moving rapidly from pilots to production. Enterprises are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we’re committed to transforming the enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for the Enterprise Market, you’ll be at the heart of our mission to empower businesses across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You’ll work closely with leading enterprises, system integrators, and technology partners to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of businesses. Your work will directly contribute to our success. You’ll have the opportunity to shape partnerships that drive digital transformation, foster innovation, and position Cohere as a leader in the AI ecosystem. If you’re a strategic thinker, a relationship builder, and eager to make a meaningful impact in on
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? Adoption of AI is moving rapidly from pilots to production. Enterprises across APAC are investing in generative-AI programs, creating a once-in-a-decade market inflection point. At Cohere, we’re committed to transforming the Japan enterprise landscape through strategic partnerships and innovative AI solutions. As a Partner Development Manager for the Japan Enterprise Market, you’ll be at the heart of our mission to empower businesses across the region with cutting-edge AI technologies. This role is perfect for someone who thrives in a dynamic, cross-cultural environment and is passionate about driving growth through collaboration. You’ll work closely with leading enterprises, system integrators, and technology partners to co-create value, expand market reach, and deliver impactful AI solutions tailored to the unique needs of Japanese businesses. Japan is a key strategic market for Cohere, and your work will directly contribute to our success in this region. You’ll have the opportunity to shape partnerships that drive digital transformation, foster innovation, and position Cohere as a leader in the Japan AI ecosyst
Job Details: Job Description: The Role As a Cloud Application Development Engineer within Intel Manufacturing Foundry Cloud Services (imFCS) , you will design, develop, deploy, and support cloud-native applications that power semiconductor manufacturing, engineering automation, and AI-driven factory operations. You will build scalable, secure, and resilient platforms that improve engineering productivity, enable advanced analytics, and accelerate Intel Foundry's digital transformation. Key Responsibilities Develop and maintain cloud-native applications and services supporting manufacturing and engineering workflows. Support 24x7 manufacturing operations through on-call rotations, incident response, and root-cause analysis. Design and implement scalable microservices, APIs, and containerization systems utilizing Kubernetes orchestrator and cloud native applications. Architect secure cloud solutions spanning application, data, networking, identity, and observability domains. Build and maintain CI/CD pipelines, Infrastructure-as-Code, and DevOps automation. Provide technical leadership for contractor and partner development teams across multiple geographic regions, driving architecture, implementation, and operational excellence for cloud-native solutions. Collaborate with manufacturing, engineering, and software teams to deliv
About the Role Join the Controls Technology division as a Technology Product Owner. In this critical role, you will act as the bridge between complex business needs and our engineering teams. You will be empowered to translate intricate requirements for risk and control systems into a flawlessly managed backlog of epics and user stories. Your primary mission is to drive the delivery of high-quality, compliant software by ensuring our development teams have the clarity and context needed to execute effectively, sprint after sprint. This is a role for a product owner — someone who thrives on execution, champions quality, and is passionate about building world-class technology solutions in a dynamic, global financial environment. What You'll Do 1. Backlog Ownership & Agile Execution Own and Master the Backlog: Meticulously create, refine, and prioritize the product backlog, ensuring it is transparent, well-understood, and always ready for at least two sprints ahead. Translate Vision into Action: Deconstruct complex business requirements into well-defined Epics, User Stories, and precise Acceptance Criteria, ensuring a high percentage of stories are accepted without rework. Drive Sprint Success: Serve as the dedicated point of contact for the engineering team, providing unwavering clarity during sprint planning, daily stand-ups, and throughout the development cycle to remove ambiguity. 2. Solution Definition & Quality Assurance Define the "What": Partner with business stakeholders to elicit, analyze, and document requirements, defining the precise solution to be built. Champion Quality: Drive a quality-first mindset with a relentless focus on clear, testable acceptance criteria to minimize ambiguity and reduce critical defects in UAT. Demonstrate Value: Conduct compelling de
AI Tech Lead – Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies. Key Responsibilities / (Person Specifications): Lead implementation and delivery of AI applications across teams. Design end-to-end AI architectures integrating open-source and enterprise tools. Translate business requirements into scalable AI solutions. Define architecture roadmaps and best practices. Build data pipelines, CI/CD, and monitoring systems. Deploy scalable systems using Docker and Kubernetes. Ensure performance, scalability, and security. Mentor teams and drive knowledge sharing. Key Skills / Job Specifications (Mandatory): AI frameworks: LangGraph, AutoGen, CrewAI. Strong Python with TensorFlow, PyTorch, Keras. Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers). Cloud platforms: AWS / Azure / GCP. Docker, Kubernetes, CI/CD tools. Terraform / CloudFormation (IaC). SQL & NoSQL databases. Distributed systems, REST APIs, GraphQL, microservices.
This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambigu
About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. About the Role As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making. This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. This role may be based in San Francisco or London, subject to team needs and location approval. In this role, you will: We are seeking research engineers and res
Job Title Senior Software Technologist I - C++ Job Description Software Engineer II Your Role: • Design, develop, test, and maintain software components and applications using modern C++, C# in a Windows-based environment. • Participate in the full software development lifecycle including requirements analysis, design, implementation, testing, debugging, and maintenance. • Develop and maintain software applications using Visual Studio and associated C++, C# development tools. • Work with Windows operating system fundamentals including processes, services, registry, file system, User Account Control (UAC), and application configuration. • Create, enhance, and troubleshoot software modules while adhering to coding standards, design guidelines, and software development best practices. • Utilize GitHub for source control management including branching strategies, commits, pull requests, merges, rebasing, and code reviews. • Support and troubleshoot CI/CD pipeline issues using GitHub Actions and participate in continuous integration activities. • Manage software dependencies and package management using NuGet and Conan. • Configure and maintain build systems using CMake and Visual Studio project configurations. • Develop and execute unit tests using Google Test (GTest) to ensure software quality and reliability. • Perform debugging, root cause analysis, and defect resolution for software issues identified during development, testing, and field support activities. • Participate in peer code reviews and contribute to software quality, maintainability, and technical excellence. • Collaborate effectively with Software Verification, Product Management, DevOps, Architecture, and cross-functional teams to deliver high-quality software solutions. • Create and maintain
Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in
Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in
As our Accounts Receivable Manager, Marketplace, you will lead the financial operations for our rapidly expanding cloud marketplace ecosystem (AWS, Azure, and GCP). This is a strategic backfill for a key leadership role within our Global Order-to-Cash organization. You will own the daily financial operations of MongoDB’s cloud marketplace business across AWS, Azure, and GCP. Ensure seamless integration between partner portals and internal finance systems while safeguarding transaction accuracy, revenue integrity, and operational continuity. Proactively identify risks and implement scalable solutions as transaction volumes grow. Based in our Gurugram office, you will sit at the intersection of Finance, Sales Operations, and Cloud Engineering. You aren't just managing a ledger; you are managing the financial health of our most critical growth channel, ensuring that high-volume marketplace transactions are billed accurately and collected with surgical precision. What You’ll Do (Day-to-Day) Marketplace Operations Leadership: Serve as the functional successor in managing MongoDB’s cloud marketplace presence. Oversee the daily flow of transactions through AWS, Azure, and GCP, ensuring seamless integration between partner portals and internal finance systems Accounts Receivable Supervision: Maintain rigorous oversight of the AR lifecycle for the marketplace portfolio. This includes supervising the accuracy of invoices, monitoring aging reports, and ensuring that payouts are reconciled daily against recognized revenue Lead end-to-end AR lifecycle management for the marketplace portfolio: Oversee invoice accuracy and completeness to maintain reliable financial records, monitor aging accounts and drive a proactive collections strategy to optimize cash flow, meet/exceed assigned cash targets on a monthly and quarterly basis & participate actively in month-end and close activities, including reporting. Cash Application & Reconciliation Excellence: Ensure timely and accu
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