Double – Coding Copilot jobs

Software Engineer Lead - Data and Automation (Python, PySpark, Hadoop, GitHub Copilot) 2 Locations posted: Posted 10 Days Ago

Double Internship - Sales & Brand Management (m/f/d) Schwalbach Am Taunus posted: Posted 3 Days Ago

Technical Product Owner - AI Coding Platforms Additional Posting Location(s) US-MA-Marlborough|US-MN-Arden Hills Additional Location(s): Additional Posting Location(s) US-MA-Marlborough|US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. About the role: Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day. Join Boston Scientific at the forefront of innovation as we apply artificial intelligence to accelerate product development, improve engineering productivity, and enable secure, responsible use of AI across the enterprise. We are seeking a Technical Product Owner - AI Coding Platforms to lead the strategy, roadmap, governance, and adoption of Boston Scientific's AI-enabled software development ecosystem. This role will own the portfolio of AI coding capabilities that support engineers, data scientists, researchers and technical teams in using AI assistants, coding agents, large language model-powered developer tools and workflow automation safely and effectively within enterprise guardrails. This leader will work across engineerin

Ingénieur Simulation Grid Code (H/F/ non binaire) / Grid Code Simulation Engineer (f/m/d) Belfort posted: Posted 11 Days Ago

Ingénieur Réponse en Fréquence Grid code H/F (Open) Belfort posted: Posted 9 Days Ago

Infrastructure as Code (IaC) Engineer 2223 Chester House Farnborough Aerospace Centre Farnborough UK posted: Posted 21 Days Ago

Grid Response Engineer/Ingénieur Réponse en Fréquence Grid Code H/F Belfort posted: Posted Today

Grid Response Engineer/Ingénieur Réponse en Fréquence Grid Code H/F Belfort posted: Posted 30+ Days Ago

Software Engineering SMTS - LLM Gateway California - San Francisco; Washington - Bellevue Agents and LLMs are a fast evolving technology. Einstein GPT Team within AI Platform is building platform services needed to spearhead LLM technology to support Agentforce and AI apps within Salesforce CRM clouds. As a team deeply embedded in LLM infrastructure, we are looking for backend Software engineer, who enjoys a fast-paced environment, can deliver incrementally, and think creatively. You will work on cutting edge LLM technologies from different vendors, deliver CRM and Salesforce integration features. Your impact: Build, scale and maintain critical features of the Einstein platform to provide scale and efficiency. Develop high-quality, production-ready code that can be used by millions of users of our cloud platform. Make design decisions on the basis of performance, scalability, and future expansion. Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features. Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level) Make/Participate in critical decisions that attribute to the success of the platform Basic qualifications and skills: 5+ years of development experience as a software engineer. Strong experience with backend development in preferably Java, or at least one object-oriented compiled, statically-typed language (C++, C#) Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows Distributed systems and cross-service designs Experience with

Sales Expert - (PAAS, Low-code/No-code platform sales) SAP BTP - Bangalore Sales Expert - (PAAS, Low-code/No-code platform sales) SAP BTP - Bangalore | Country India | Internal Posting Location Bangalore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Do As a Solution Sales Expert (BTP), your primary objective will be to achieve your overall revenue goals by creating a robust territory business plan generating at least 5x your quota in pipeline opportunities. Key responsibilities include: Revenue Generation: Identify and qualify opportunities while developing and executing strategies to drive sales success. Territory Development: Create an opportunity plan that effectively communicates the value proposition of SAP's targeted line of business solutions to potential customers and prospects. Collaboration: Work closely with the Sales Manager and team to implement programs that enhance pipeline growth and facilitate deal closure. Account Planning: Collaborate with the Value Added Team (VAT) to educate target accounts on BTP solutions and strategize for key accounts. Sales Cycle Management: Uncover and manage sales cycle opportunities

Working Student (f/m/d) - AI-based Quality Evaluation for AI-Generated Code Changes (SAP HANA Cloud) Region Europe | Country Germany | Internal Posting Location Walldorf We help the world run better At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. What you'll build In their day-to-day development, SAP HANA developers review code changes generated by AI coding agents. These changes must meet high quality standards before they can be merged into production code. Today, we verify that AI-generated code passes determistic verification (e.g. linting, tests) but we don't yet measure whether changes fulfill other criteria (e.g code conventions). This can lead to a lower acceptance of AI-generated changes. In this project you design and run experiments to evaluate an automated quality evaluation system that uses large language models and techniques like LLM-as-a-Judge to assess AI-generated changes. You build a ground-truth dataset from real developer review feedback, design a structured scoring rubric, and benchmark how well an LLM judge correlates with human decisions. The project is implemented in Python and makes use of

Software Engineering MTS Texas - Dallas The Digital Enterprise Technology - Legal Risk and Compliance (LRC) Application Development team is seeking a talented and experienced Force.com Developer to design, develop, test, and enhance internal technology solutions on the Salesforce platform that support mission-critical business processes. description Responsibilities Design, develop, test, and deploy scalable applications on the Salesforce platform (Sales Cloud, Service Cloud, and Force.com ). Write efficient, maintainable, and reusable Apex, Lightning, and Visualforce code. Integrate quality engineering best practices, including automated testing, code quality enforcement, and environment management using Git, Jenkins, SFDX, and Salesforce CLI. Participate in all phases of the development lifecycle-from technical design through implementation, testing, and deployment. Collaborate with business stakeholders, technical teams, and cross-functional partners to design and implement solutions that meet business requirements. Provide expertise on Salesforce APIs, profiles, security models, and sandbox management. Document best practices and handoff materials for IT Support. Contribute ideas and feedback across multiple projects within the team's portfolio. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of the development workflow. Push the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining shared system context repositories, enabling AI systems to operate accurately and reliably. Critically evaluate both human- and AI-generated code for correctness, quality, security, and performance. Develop and maintain Tableau dashboards and engineering

AI Research Software Engineer, Code Search Bengaluru, Karnataka, India Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web 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, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Empower Agents and Googlers with efficient and intelligent code exploration capabilities, enabling them to find, understand, and utilize code effectively. We strive to create a seamless and intuitive exploration agents that accelerates development workflows and fosters knowledge sharing across Google. The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break

Research Scientist, Quantum Error Correction, Quantum AI Goleta, CA, USA; +1 more As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes. Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits

Technical Lead, Digital Design Subsystems Bengaluru, Karnataka, India Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Lead a team of ASIC RTL engineers on sub-system and activities including: plan tasks, hold code and design reviews, code development of complex features. Interact closely with the Architecture team and develop implementation (microarchitecture and coding) strategies to meet quality, schedule and Power, Performance, and Area (PPA) for sub-system integration. Work closely with the cross-functional team of Verification, Design for Test, Physical Design and Software teams to make design decisions and represent project status throughout the development process. Minimum qualifications: Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience. 10 years of experience working on multiple SoCs with silicon success. 3 years of experience in RTL coding using Verilog or Systemverilog language. Experience in design and multi power domains with clocking. Preferred qualifications: Experience in high performance design, multi power domains with complex clocking. Proficient

Lead Distributed Systems Engineer (Cloud Infra) California - San Francisco Salesforce has immediate opportunities for Lead software engineers who want their lines of code to have significant and measurable positive impact for users. We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. As a Lead Software Engineer, your job responsibilities will include: Envision and Build new and exciting components/frameworks in distributed filesystems in an ever-growing and evolving market technology to provide scale and efficiency. Design and Develop high-quality, production-ready code that can be used by millions of users of our cloud platform. Build efficient components/algorithms on a microservice multi-tenant SaaS cloud distributed filesystem environment, Code review, mentoring junior engineers, and providing technical guidance to the team Job Duties: Research, design, and develop computer and network software or specialized utility programs. Update software or enhance existing software capabilities. Contribute to the success of the scrum team through code reviews, deployment process automation, documentation, refinement, planning, and retros. Lead, collaborate, communicate, and mentor others on the team and in the company. Work closely with cross-functional teams to deliver a roadmap to meet shared business goals. Resolve complex technical issues and drive innovations that improve system scalability, robustness, and availability. Troubleshoot issues with the services that team develops and owns. Participate in the team's

Principal Application Software Engineer BENGALURU, KARNATAKA, India, IN BS or MS in Computer Science, or equivalent experience 7-10 years of working experience shipping scalable, cloud-native distributed systems Proficient in at least one of the languages: Java, Javascript, React Solid understanding of user management and runtime security Experienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocols Experience in cloud computing (Compute, Networking, Storage, etc) Ability to work in a collaborative, cross-functional team environment Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations) As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems. Accountable for broad software design, code quality and architecture decisions Lead and direct architecture discussions, design sessions and code reviews for functional correctness, architectural maintainability, and performance. Develop long-term technical roadmap for solution area. Code for high-risk projects that have solution dependencies within and outside current team. Analyze, understand and develop complex architectures, design and associated sub-systems. Ability to understand someone else's complex code very quickly Ability to multi-task and deal with changing priorities. Collaborate with multiple stakeholders such as Development leads, Product Management, Operations,

Energy Asset Delivery Technical Program Manager, Grid Code Compliance, Energy and Power San Francisco, CA, USA; +2 more Google's Energy and Power team is on a mission to secure a low-cost, clean, and reliable energy supply for our global data center fleet. As a Technical Program Manager in Grid Code Compliance, you will safeguard the vital power infrastructure that sustains Google's global data center network. You will advocate the lifecycle management of mission-critical power assets, driving project schedules and mitigating risks to ensure delivery remains on time and on budget. By bridging the gap between commercial structuring and operational reality, you will navigate complex agreement negotiations and technical requirements. In this role, you will be high-impact leader capable of orchestrating array of internal stakeholders, from engineering and real estate to legal and finance, managing external consultants to deliver the sustainable energy infrastructure of the future. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Orchestrate end-to-end oversight of power assets developed by third-party partners, ensuring seamless delivery and budget adherence for Google's data centers. Advocate data excellence by developing standardized tools and governance frameworks to ensure transparent portfolio-wide communication and risk mitigation. Monitor and uphold grid code compliance, proactively tracking evolving utility requirements, ISO/RTO protocols, and NERC/IEEE reliability standards. Represent Google in grid operator and utility forums to influence and shape requirements

Lead Release Engineering, Agentic Platform California - Palo Alto; California - San Francisco Lead Member of Technical Staff, Release Engineering, Agentic Platform (Java / Node.js / iOS) We're hiring an LMTS Release Engineer to lead release management across our Java backend services, Node.js platform layer, and iOS client apps. This is not a traditional CI/CD role, and it is not a hands-off architect role either. As an LMTS, you'll set the technical direction for how we ship software in the agentic era (where AI agents author code, open PRs, run validation suites, and propose merges autonomously) and you'll build the critical pieces yourself. You're the senior technical voice on release strategy, the person other engineers escalate to, and the one designing the trust layer that lets us safely ship code authored by humans and agents alike. What You'll Own Release strategy across three runtimes. Java (Maven/Gradle, JVM services), Node.js (npm/pnpm, microservices and tooling), and iOS (Xcode, fastlane, App Store Connect, TestFlight). Define one coherent release story across all three and lead its execution. Agentic release pipelines. Architect and build the infrastructure that lets AI coding agents propose, validate, and ship changes safely: automated diff review, policy-as-code merge gates, signed-commit attestations, and human-in-the-loop approvals at the right friction points. You own this design end-to-end. Release automation and tooling. GitHub Actions / Jenkins / Buildkite pipelines, artifact registries (Artifactory, npm registry, internal CocoaPods/SPM mirrors), code signing for iOS, reproducible builds, SBOM generation. Branching, versioning, and cut strategy. Trunk-based development, semantic versioning, release

Final Signatory Marlow, ENGLAND, United Kingdom Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Provide brand support for the preparation and final signatory approval of promotional and non-promotional material and activities Attend Brand Team Meetings to ensure Review agenda/focuses are communicated and understood Support the continued implementation of a Code Compliant system for all promotional and non-promotional activities throughout AbbVie and the marketplace, ensuring the company is in line with the Association of British Pharmaceutical Industry (ABPI) standards, the MHRA blue guide for advertising and promotion and all applicable international Codes of Practice (EFPIA, IFPMA, and respective National Codes and National Regulatory Bodies) at all times. Provision of workable compliant solutions to support business development opportunities/product launches and contribute to the development of marketing campaigns Independent, timely, accurate review and approval of materials in accordance with the relevant Codes of Practice. Make appropriate evaluations when undertaking material reviews, taking into account the risk profile in decision making Provide Guidance on UK code requirements to overseas affiliates and UK Affiliate as and when required Actively participate in

Salesforce Developer Mexico - Mexico City SALESFORCE DEVELOPER Mexico City | Hybrid At Salesforce, we are redefining the future of business with AI + Data + CRM. Our mission is to help organizations innovate faster, operate smarter, and deliver exceptional customer experiences-powered by cutting-edge technology and intelligent automation. Role Overview We are looking for an AI-first, forward-thinking Member of Technical Staff (MTS) to build next-generation Salesforce solutions. This role goes beyond traditional development-you will leverage AI to accelerate engineering, improve code quality, and unlock new levels of productivity. You will work closely with Architects, Engineers, Product Owners, and global stakeholders to design scalable, high-performance systems while embedding AI into the software development lifecycle. Key Responsibilities Design and develop scalable solutions on the Salesforce platform Write clean, efficient code using Apex and Lightning Web Components (LWC) Leverage AI tools and intelligent agents to enhance engineering productivity, automate workflows, and improve code quality Actively identify opportunities to embed AI across the SDLC (development, testing, debugging, and optimization) Participate in code reviews and drive high engineering standards Translate functional requirements into robust technical solutions Debug and resolve complex issues across frontend and backend layers Build and configure Salesforce components (objects, flows, validation rules, reports) Develop integrations, data migrations, and automation workflows Ensure performance, scalability, and security of applications Contribute to CI/CD pipelines and modern DevOps practices Required Skills & Experience 4+ years of Salesforce development experience Strong hands-on experience with Apex, LWC, Aura, and Flows Solid understanding of Salesforce architecture and data models

Software Development Engineer, Manufacturing Infrastructure Sunnyvale, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The PLaTO Manufacturing Systems Engineering team builds applications to support the Manufacturing Test of Data Center products. We own the development of hardware and software solutions that are deployed on factory floors worldwide. If you have interacted with Google today, you have used machines that have run through our code! Our team provides software tools to support manufacturing test processes. We develop code in python and Golang that runs on factory machines around the world as well as in Google Cloud Platform (GCP). We provide software and services that run at factories producing Google products as well as other support for the Test Engineer teams. Our products include OpenTest.(test executive) and Sentinel, an active factory adaptive test platform with components in GCP and Google's internal cloud infra. In this role, you will develop and maintain Python code and Golang. You will execute to a software development lifecycle that includes customer intake, writing specifications, doing code reviews and releasing software. You will participate in Agile sprints and adhere to good coding practices. You will also need to be comfortable speaking to our contract manufacturers' IT teams about how to integrate our solutions into their networks. The

Principal Software Engineer - AI Integrations Seattle, WA, United States, US Oracle Cloud Infrastructure (OCI) is building the next generation of AI native engineering systems powering cloud operations, infrastructure automation, and operator productivity at scale. We are looking for a Principal Software Development Engineer (IC4) who operates as an AI native builder. This is not a traditional software engineering role centered on manual coding. Engineers on this team use AI assisted development, coding agents, and automation first workflows as the default mode of software creation. This role focuses on rapidly building intelligent systems, internal platforms, operational tooling, and cloud native services using modern AI driven engineering practices. You will work across distributed systems, automation platforms, developer experience, and operational intelligence to dramatically improve engineering velocity, reliability, and scale. Engineers on this team are expected to deeply integrate LLMs, coding copilots, agentic IDEs, and AI orchestration workflows into their daily development process. Success in this role is measured not only by code written, but by the ability to effectively leverage AI systems to accelerate delivery, automate repetitive engineering work, and solve high impact operational problems. As a Principal Software Development Engineer, you will: Design and build scalable cloud native systems, automation platforms, and intelligent operational tooling. Use AI assisted development workflows as the primary engineering model for software design, implementation, debugging, testing, and documentation. Build systems where humans supervise and orchestrate intelligent automation rather than manually executing repetitive engineering tasks. Rapidly prototype and productionize solutions using modern AI native development environments

Software Engineer SSR Mexico - Mexico City The Digital Enterprise Technology - Revenue Application Development team is seeking a talented and experienced Force.com Developer to design, develop, test, and enhance internal technology solutions on the Salesforce platform that support mission-critical business processes. Responsibilities Design, develop, test, and deploy scalable applications on the Salesforce platform (Sales Cloud, Service Cloud, and Force.com). Write efficient, maintainable, and reusable Apex, Lightning, and Visualforce code. Integrate quality engineering best practices, including automated testing, code quality enforcement, and environment management using Git, Jenkins, SFDX, and Salesforce CLI. Participate in all phases of the development lifecycle-from technical design through implementation, testing, and deployment. Collaborate with business stakeholders, technical teams, and cross-functional partners to design and implement solutions that meet business requirements. Provide expertise on Salesforce APIs, profiles, security models, and sandbox management. Document best practices and handoff materials for IT Support. Contribute ideas and feedback across multiple projects within the team's portfolio. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale. Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably. Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance. Required Skills &