Python Developer Jobs

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team At GoDaddy, we believe better workforce decisions start with trusted data. We're growing our People Analytics capabilities and looking for a People Business Intelligence Analyst to help us build clear, reliable reporting that supports our People team and business leaders. Are you someone who enjoys finding patterns in complex datasets and transforming information into meaningful stories? Do you like solving challenges that directly influence how organisations hire, develop, and support employees? You'll own the data mapping work that connects source systems (HRIS, ATS, payroll, engagement surveys, etc.) into our Redshift warehouse, and build the dashboards, reports, and AI solutions that people leaders, HRBPs, and executives actually use to make decisions! Working with HR systems, analytics platforms, and AI-powered tools, this role helps us understand workforce trends, improve reporting, and maintain trusted data across the employee lifecycle. We are committed to creating an inclusive hiring process and will provide reasonable accommodations for candidates who need additional support. We'd love to hear from you! What you'll get to do... Map and document data flows from HR source systems into Redshift, including field definitions, lineage, and business logic (e.g., how "headcount," "attrition," or "time-to-fill" are calculated). Maintain a data dictionary and metric glossary to ensure definitions remain consistent across teams and dashboards Build and maintain dashboards in QuickSight and Power BI covering key people metrics inclu

At Citi Services - Global Trade and Working Capital Solutions (TWCS) Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what's possible. The Opportunity We are seeking an Engineering Director to join our development team. The ideal candidate is a seasoned technologist with extensive experience in building and delivering data & AI solutions for business functions. This individual will be directly and fully accountable for solution delivery and should have a history of creating strategic technology architecture roadmaps aligned with business outcomes. The successful candidate will define and execute the technology roadmap for the Data & AI portfolio of TWCS, providing strategic direction and critical input into technology decisions to ensure a scalable buildout. This role involves building strong relationships with senior business and technology partners, driving agile execution, and leading a team of expert engineers to deliver with velocity and quality. Applicants should demonstrate exceptional technical acumen, a strong data engineering background, and a proven ability to lead and provide technical direction to high-performing engineering teams. A proven expertise in Data Engineering, Data Analytics, and AI Engineering delivery at scale is essential. Responsibilities: Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and processes Develop vision for team aroun

Use Your Power for Purpose Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCA's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including data science, market research, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patients' lives and the future of Pfizer as a data-driven organization. The Data Science Manager is accountable for delivering data science support across the commercial business. As a strategic partner to US Commercial teams, this person will develop and implement models and data science-derived insights that influence brands’ strategic priorities. These responsibilities will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. What You Will Achieve Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Assist to frame, investigate, and translate complex data-informed models, and answer key business questions related to the identification and evaluation of brand strategies a

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and on collaborations across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you! What you'll be doing: Shape the application architecture internally, with a focus on perception & sensor fusion, by collaborating closely with architecture and software development teams. Integrate and adapt NVIDIA solutions in target vehicles, ensuring that both perception and sensor fusion are adapted and tuned to meet the desired driving performance and functionality. Lead bring-up activities and provide technical support to resolve functional and perception & sensor fusion related issues. Perform and leverage in-vehicle and simulation test drives for functional and performance analysis on the recorded data. Work with our partners to efficiently integrate hardware and software components, understand the system architecture, profile performance, identify bottlenecks, and drive optimization <

We anticipate the application window for this opening will close on - 5 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are seeking a highly motivated Finance Forward Deployed Engineer (FDE) to join our Finance Analytics and Transformation team. This role sits at the intersection of Finance, Data, Analytics, Automation, and Artificial Intelligence. Unlike a traditional data engineering or analytics role, the Forward Deployed Engineer will work alongside Finance teams to deeply understand business processes, identify high-value opportunities, and rapidly design, deploy, and scale solutions that improve how Finance operates and makes decisions. The ideal candidate combines strong Finance and business acumen with hands-on technical capabilities. This individual will be comfortable participating in forecasting, planning, performance reviews, management reporting, and other Finance processes while also working directly with data, building analytical solutions, automating workflows, and applying emerging AI capabilities. The role requires a strong builder mindset: someone who can move from an ambiguous business problem to a working solution, partner with users to iterate quickly, and ultimately transition successful solutions into scalable enterprise capabilities. At Medtronic, we bring bold ideas forward with speed and

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Software Engineering Overview We are seeking a hands-on Manager, Software Engineering to lead the development of scalable data platforms, backend systems, and data pipelines supporting Mastercard's Portfolio Intelligence products. This role will initially focus on leading a team of Data Engineering contractors while providing strong technical leadership across architecture, delivery, and engineering excellence. The ideal candidate is a recent practitioner who has built and operated modern data platforms and backend services, can confidently review architecture proposals and code, and leverages AI-powered engineering tools to improve productivity, quality, and delivery speed. As the team evolves, this leader will play a key role in building and developing a high-performing organization of full-time engineers. What You'll Do Technical Leadership Provide technical leadership for backend services, data pipelines, and platform capabilities that support analytics, reporting, and AI-driven products. Review architecture and design documents to ensure solutions are scalable, maintainable, secure, and aligned with long-term platform strategy. Conduct and oversee code reviews, promoting engineering best practices, reliability, security, and operational excellence. <br

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist II Role Overview Build and productionize enterprise-grade AI and Generative AI solutions for Mastercard. This role combines strong software engineering with model fine-tuning, Databricks-based ML engineering, AWS deployment, and end-to-end MLOps. Key Responsibilities Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components. Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning. Build RAG solutions, embeddings workflows, vector-search applications, and AI agents. Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining. Use Databricks, PySpark, MLflow, Unity Catalog, Workflows, Vector Search, and Model Serving for governed model development and operations. Implement CI/CD, automated testing, observability, model monitoring, and production support practices. Partner with data science, engineering, product, security, privacy, and governance teams to deliver reliable and responsible AI solutions. Required Skills & Experience 3–4 years of experience in AI/ML engineering, software engineering, data science, or a related field. Strong Python, SQL, object-or

We anticipate the application window for this opening will close on - 28 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 5 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. The Cardiac Rhythm Management (CRM) portfolio delivers therapies designed to restore, support, and protect every heartbeat through advanced pacing, defibrillation, and remote monitoring solutions. CRM's unique ability to pair proven life-saving therapies with intelligent technology gives clinicians and patients greater confidence. Clinical impact and innovation come together to improve lives through meaningful patient outcomes. The Senior Principal Electrical Engineer is a key individual contributor within the Medtronic Cardiac Rhythm Management (CRM) Electrical System Design Team. In this role, you will drive the definition, design, integration, and verification of complex mixed-signal electronics for active implantable cardiac devices and external patient systems

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist-2 Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner. Key Responsibilities Strategic Support • Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success. • Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives. • Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes. • Develop frameworks, project structures, and presentations to communicate key strategic initiatives. • Conduct data integrity checks and ensure quality and reliability in data used for analysis. • Translate complex business problems into analytical solutions that support strategic decision-making. Technical Leadersh

We anticipate the application window for this opening will close on - 28 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 5 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. The Cardiac Rhythm Management (CRM) portfolio delivers therapies designed to restore, support, and protect every heartbeat through advanced pacing, defibrillation, and remote monitoring solutions. CRM's unique ability to pair proven life-saving therapies with intelligent technology gives clinicians and patients greater confidence. Clinical impact and innovation come together to improve lives through meaningful patient outcomes. The Principal Electrical Engineer will be an individual contributor within the Medtronic Cardiac Rhythm Management Electrical System Design Team. The individual will be involved in all phases of product development including definition, design, troubleshooting, characterization, and verification of implantable pulse generators (pacemakers), implantable cardioverter defibrillators, and implantable diagnostic devices as well as external patient comm

Work Flexibility: Onsite What You Will Do: This role is on the Electrical Engineering team at Stryker Medical division's Acute Care business unit. We primarily work with patient handling and patient care equipment within the hospital space such as stretchers, hospital beds, and support surfaces. This role falls under the team addressing the high-acuity market, with a focus on products that often come into direct contact with patients. It includes gaining a deep understanding of customer needs through research and partnership with upstream marketing and through direct interactions with customers. Working with a diverse team, you will design, develop, modify, evaluate, and verify electrical components and sub-systems for medical devices. The role includes the full development process from research to product launch. Design and develop electrical circuits and subsystems for medical devices. Coordinate engineering changes and complete documentation in accordance with quality management system requirements. Review and modify C/C&#43;&#43; code to support product functionality and performance Apply electrical system and circuit test methods to evaluate product designs. Build and support prototypes and conduct bench testing activities. Collaborate with manufacturing, sourcing, and cross-functional teams to support ongoing production activities. Analyze and test designs for electromagnetic compatibility, reliability, safety, manufacturability, and testability. Support

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Engage with either AWS or GCP cloud ecosystems to ensure best practise development for new and existing solutions Build, deploy and manage Cloud Infrastructure through with IaC concepts Hands on experience with serverless services such as AWS’ S3, Glue or Lake Formation and GCP’s Cloud Functions, Big Query or Data Fusion Integrate native cloud services with 3 rd party solutions through the offered networking solutions Understanding of the Python ecosystem from local development to production environments Experience of DevOps approaches supported with Python Work within a delivery focused team using Agile methodologies Comfortable with Docker and some exposure to orchestration tools Review and implement security best practices within cloud environments We expect you to know how to architect, design, develop, deploy and operate a data platform and be a good leader for your team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended

Principal Targeting Analyst Target development for cyber operations, red-team engagements, and applied R&D Position Overview: Position: Principal Targeting Analyst Job Type: Full-time Location: Ft. Meade, MD (Hybrid) Clearance Requirements: US Citizen &TS/SCI Experience: 8+ years What You'll Do SIXGEN is seeking a Principal Targeting Analyst to build and lead an organic targeting and collection capability that strengthens our offensive cyber, red-team, and adversary-emulation missions. This is a hands-on technical leadership role for an analyst-engineer hybrid who enjoys solving hard collection problems, developing targets from a cold start, and turning operational experience into automated, mission-ready capability. As a Principal Targeting Analyst, you'll pair deep OSINT and managed-attribution tradecraft with professional foreign-language proficiency, applied AI engineering, and real software-development ability. You'll partner with operators, engineers, and program teams to deliver timely targeting and access intelligence, mature SIXGEN's collection methodologies and tooling, and mentor analysts as the capability grows. Whether you're developing a target for a critical customer mission, automating collection at scale, or shaping the technical direction of a new capability, your operational credibility and technical judgment will help drive mission success across the organization. Key Responsibilities Target Development and Key Operations Conduct end-to-end target development against threat actors, and adversary infrastructure — from initial requirement through finished, decision-ready intelligence. Direct collection across the surface, deep, and dark web, closed forums, encrypted messaging platforms, and regional ecosystems beyond the coverage of commercial data sources. Perform authorized threat-actor engagement and elicitation; track initial-access brokers, exploit sellers, and access markets relevant to mission objectives. Conduct