2580 System Design Jobs - Page 27

Would you like to build impactful mobile software building blocks that empowers hundreds of engineers build and ship new delightful features every day?. Our team is responsible for creating the best delivery experience for transporters wherever they deliver packages using their favorite Android or iOS devices. As a Software Development Engineer within the Flex Mobile Foundations organization you will contribute to the next generation mobile foundation to power fast, fluid, and interactive experiences on mobile devices worldwide. A day in the life Our team forms the foundation of the Amazon Flex platform, supporting multiple feature teams and enabling hundreds of thousands of delivery partners worldwide. We pride ourselves on our collaborative culture, where knowledge sharing and architectural discussions are central to our workflow. The teams in-depth engineering practices and robust system design have resulted in excellent platform stability. We maintain efficient operations and well-structured on-call processes. Our emphasis on continuous learning and professional development creates an environment where team members can grow their skills while delivering impactful solutions at scale 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of leading Mobile design or architecture (design patterns, reliability and scaling) of new and existing Android systems with Kotlin and KMP. 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon s global fulfillment network enables any merchant in any of the geography ship items that you order on Amazon, to any place on earth. There are a variety of ways in which we can acquire items from vendors to our warehouses, ship items from one location to another, and several intermediate locations through which the package travels before reaching the customer. There are millions of such packages, each with different attributes, and different delivery requirements. What results is a highly dense graph of source, intermediate and destination nodes, with arcs between them representing possible paths for packages, with different costs and times along each arc. Accounting for all these constraints, and maximizing the number of shipments shipped, while minimizing cost, providing a variety of delivery options and maximizing delivery performance is Transportation Engineerings primary focus. We have built a world class Software engineering team which is focused on solving some of the complex problems in worldwide Transportation using workflows, optimization algorithms, machine learning systems etc. These are large scale distributed systems handling millions of packages being shipped through our network What will you do? As a leader, you will implement the charter and vision for your team. You will prioritize your team s projects and deliver the goals while measuring appropriate metrics to monitor team performance. As a manager, you will identify and drive process improvements while working with multiple teams with-in and outside your organization. You will interface with business, operations and tech teams within and outside transportation organization. You will influence the technical vision and automation roadmap for your team. You will own hiring, performance management, goal setting and mentoring for your team. To accomplish this, you are expected to be proficient in system design, programming, scripting and querying skills as well a strong grasp over object oriented analysis and design. You are considered knowledgeable in the key areas by your team and are able to provide assistance and leadership to your team. You are expected to analyze scope work requests, create estimates and effectively work with stakeholders on prioritization decisions as well as progress updates. You will own the planning of your team s work and constantly improve your team s practices. A successful candidate will be a fast learner with an established background in leading teams, strong technical ability, great communication skills, and a motivation to achieve results in a dynamic fast paced environment. 1. 5+ years of experience building and managing high performance software teams 2. Programming experience in Python, Java and deep understanding of object-oriented design. 3. Bachelors degree in computer science or a related field 4. Solid expertise in data structures and algorithms 5. Strong problem solving and analytical abilities 6. Strong verbal and written communication skills and an ability to work in a team environment 7. Experience with working and deploying scalable, highly available systems 8. Unix or Linux experience 9. Excellence in technical communication with peers and non-technical cohorts. 1. Experience working with multiple Technical and non-technical stakeholders and managing deliverables at once. 2. Influence without authority 3. Excellent verbal and written communication skills 4. Bachelors or Master s degree in a technical discipline 5. Experience in working with distributed systems 6. Exceptional attention to detail and organizational skills 7. Exceptional project planning and sprint management skills 8. Experienced people manager (hiring, performance management, day-to-day)

Farnell Farnell, an Avnet company, is a global high-service distributor of technology products, services and solutions for electronic system design, maintenance and repair. Job Summary: The User Acceptance Testing Specialist (Bangalore) is responsible for undertaking user acceptance activities to support the release of ecommerce development to production as defined by the overall digital product strategy and as allocated by the Senior Product Manager - Launch. This spans all platforms (desktop and mobile) across all Premier Farnell s digital properties. The role will work closely with Digital Product Managers, Marketing Ecommerce, and GIS teams as well as Regional Sales and Marketing organizations to ensure that development projects are ready for launch optimised on the web to drive overall ecommerce penetration and sales performance. Essential Skills and Experience: 4 years experience working within a significant eCommerce organisation. Demonstrable experience of system testing in an eCommerce environment Ability to create and execute a system test plan on a project by project basis. Working knowledge of IT/eCommerce project lifecycles. Experience of working with and the creation of, business rules, functional specification documents and other relevant documentation for test planning. Experience of working with teams that cross international boundaries. Thorough knowledge of Microsoft Office including, Word, Excel and MS Project Familiarity with typical eCommerce system architecture. Ability to plan and prioritise own work effectively to achieve commercially focused goals. Excellent communicator. Desirable Skills and Experience: Demonstrable knowledge of latest trends in digital product and usability. Knowledge of Agile Ways of Working Knowledge of Jira Knowledge of Test Rail The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.

Description & Requirements Introduction: A Career at HARMAN Digital Transformation Solutions (DTS) We re a global, multi-disciplinary team that s putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity s needs Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility Empower companies to create new digital business models, enter new markets, and improve customer experiences About the Role Bachelor s Degree in Engineering, Science or technical field with 4+ years of work experience in Engineering and/or Quality OR Advanced degree in Engineering, Science or technical field with 2+ years of work experience in Engineering and/or Quality. . What You Will Do Qualified to assess patient safety risks via one of the following: Medical Doctor with related device experience Engineer who has achieved IBHRE or NASPE Exam certification At least 5 years of clinical field experience in the past 15 years. The relevant field experience could include the following: o Nurse o Field Personnel such as: Clinical Specialist, Technical Field Educator, Field o Clinical Engineer o Technical Services (cardiac products) Personnel with at least 5 years of previous clinical experience related to cardiac therapy products. What You Need Advanced degree in Engineering or Science Proven understanding of reliability engineering principles Strong understanding of and experience in the application of statistics, including experience with Minitab Experience in a highly regulated industry, preferably implantable medical devices Experience with 21 CFR Part 820 (Quality System Regulation), ISO 13485, etc. Experience in the application of Risk Management (ISO 14971) and hazard analysis and risk analysis techniques (e.g., PHA, HA, FTA, DFMEA) Ability to independently lead investigations to identify system/product failures, hazards, hazardous situations, and harms CRE Certified Exposure to or experience working in or with Design, Quality, Regulatory, Clinical and/or Manufacturing Experience in the design, maintenance, or continuation engineering of released software or software systems, including mobile applications Knowledge of Design for Reliability (DfR), Design for Reliability and Manufacturability (DRM), Design for Six Sigma (DFSS), Design for Lean Sigma (DFLS), and/or robust design practices What Makes You Eligible You hold a Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. Demonstrate strong problem-solving abilities and a deep understanding of backend system design and architecture. You re passionate about clean code , continuous learning, and sharing knowledge with teammates. What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. Be Brilliant employee recognition and rewards program. You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you re ready to innovate and do work that makes a lasting impact, join our talent community today ! Please be aware that HARMAN recruiters will always communicate with you from an @harman.com email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for .

Job Responsibilities Produce accurate, unambiguous technical design specifications to the appropriate detail Deliver customer value in the form of high quality software components and services in adherence with RPR policies on Security, performance, longevity and Integration testing Proactively identify and proposes new, alternative technology in order to create scalable implementations and achieve results Act as the subject matter expert for area of assignment Advise and train members of the team to maximize overall productivity and effectiveness of the team Work collaboratively across the Technology and Product organizations to ensure alignment towards business goals Typical Qualifications 9-14 years of experience in an engineering role Experience in an Agile environment preferred Knowledge of modern programming languages such as: Java and javascript/jQuery Knowledge of Unix/Linux, Big Data, SQL, NOSQL, and various other technologies Experience with object oriented programing, relational database technologies, distributed computing tech (Hadoop, spark), RESTful API, WebUI (HTML 5) and Modern JS frameworks Experience with iOS and Android environments

- Promote and sell solar products to customers - Educate customers about solar energy systems, schedule appointments, and negotiate contracts - Arranging solar installations for customers - Following up with customers about their order requirements - Informing customers about any promotional offers - Target Oriented - Fluency in English - Open to relocate to Ahmedabad Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Schedule: Morning shift Supplemental Pay: Performance bonus Work Location: In person

Fire Safety Compliance: Conduct regular inspections of fire safety equipment (fire extinguishers, hose reels, hydrants, smoke detectors, fire alarms, sprinklers, etc.). Ensure fire exits and evacuation routes are unobstructed and properly marked. Maintain proper documentation of all fire safety certificates and AMC records. Emergency Preparedness & ERT (Emergency Response Team): Lead the mall’s Emergency Response Team (ERT) and train team members regularly. Organize mock fire drills and evacuation exercises as per schedule. Coordinate with local fire department and emergency services for drills and real-time incidents. Training & Awareness: Conduct fire safety training for security staff, housekeeping, retail staff, and tenants. Display and maintain fire safety signage and emergency contact lists across the mall. System Maintenance & Coordination: Monitor BMS (Building Management System) related to fire alarms and safety devices. Coordinate with maintenance vendors for timely repair or replacement of fire safety systems. Regulatory & Audit Compliance: Ensure compliance with Fire Department regulations and Safety Norms as per National Building Code (NBC) and local authorities. Assist during inspections by government authorities and ensure timely renewal of fire NOC. Reporting: Submit daily/weekly/monthly reports on fire system status, incidents, and audit findings to the Operations Manager. Log any incidents, system faults, or safety observations in a formal register Qualifications: Diploma or Certification in Fire & Industrial Safety or Fire Engineering. Minimum 3–5 years of experience in fire safety (preferably in mall, hotel, or commercial building). Knowledge of NBC, fire NOC processes, and safety regulations. Job Types: Permanent, Fresher Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Provident Fund Schedule: Day shift Evening shift Fixed shift Morning shift Rotational shift Weekend availability Work Location: In person

Role Title: Senior LLM Engineer GenAI / ML (Python, Langchain) Role Overview We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3 4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions. Key Responsibilities GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems. Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions. Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases. System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models. Required Skills 7 12 years of total experience in ML/Software Engineering, with 3 4 years of recent experience in LLMs and Generative AI. Strong proficiency in Python, LangChain, and SQL. Deep understanding of LLM concepts including: Prompt tuning Embeddings EMB Global | www.emb.global Vector databases (e.g., FAISS, Pinecone) Agent frameworks Experience working with cloud platforms such as AWS, Azure, or GCP. Solid understanding of ML pipelines, deployment strategies, and GenAI use cases. Ability to work independently and collaboratively in fast-paced, cross-functional environments. Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders. Preferred Qualifications Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations. Experience delivering ML/AI products from prototyping through to production. Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment. Prior involvement in client-facing projects or cross-functional teams building production-ready AI systems. Llm

Req ID: 330465 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Software Development senior Analyst to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). 4 years+ experience in a Test Analyst/Engineer Role SEPA / European Payment Experience a must Automation skills specially setting up automation frameworks such on Web, API and Devices using Selenium, Appium, Java, Rest Assured. Strong test domain skills such as defining test strategy including test automation, test planning and managing the test execution Expert level test automation skills using Cucumber JVM BDD framework. Good understanding on dev-ops tools and concepts including CI/CD Strong test estimation skills on manual as well as automation projects Strong understanding of testing multi-tier (front end, middle tier and backend) web and mobile applications, both android and IOS. Ability to understand the system design, system integrations to lead the technical discussions with the team as well as engineering leads and testing automation leads Experience working in Jira/Zephyr for Test and Defect Management (test scenarios/cases, defects, reporting) and other tools such as confluence Accountable for the Technical QA Automation implementation functions Ensures GTC Standards are adhered to, and refined in line with factory needs Responsible for ensuring GTC Tooling is properly adopted, and acts as a bridge to GTC for any enhancements or changes to tooling that may be required Ability and willingness to get hands-on work on Channels (Web, API and Mobile - Selenium, Appium, Java, Rest Assured, Ci/Cd integration) automation including test script writing, execution and automation reporting Define and manage the test data strategy ranging from identification, provisioning and maintaining the test data Track and manage KPI metrics such as alignment with enterprise automation test strategy and tools, driving automation ROI, reporting and continually enhancing automation% Work with TRAD (Tech Release And Deployment) and Business team for Dress Rehearsal and Post Go Live support activities (If applicable) Participate in meetings with project management to communicate accomplishments, plans and issues as well as any risks to the projects progress. Develop and maintain Test schedules, track and forecast project costs and labour hours, and managed project risks. Manage and Escalate RAID with mitigation plan. Conduct defect analysis and product quality assessments based on trend analysis

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracles assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What we offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders growing expectations. What You ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Career Level - IC5 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

Bloomreach is building the world s premier agentic platform for personalization .We re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. Were taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise available on demand, at every touchpoint in their journey. Were designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And were building all of that on the intelligence of a single AI engine Loomi AI so that personalization isnt only autonomous its also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We are seeking a Senior AI Engineer to join our dynamic team. In this role, you will be instrumental in building data-driven ML/AI algorithms that enhance our search and recommendation systems. Your primary focus will be on data engineering, analysis, transformations, model training, and serving, ensuring practical and scalable applications of machine learning within our products. This position emphasizes productization and the implementation of ML/AI solutions over pure data science and research, making it ideal for professionals thriving in the fast-paced generative AI era. Key Responsibilities Data Engineering & Analysis Slice and dice analytics data to formulate hypotheses and generate ideas to improve search and recommendation performance. Perform comprehensive data transformations to prepare datasets for model training and evaluation. Build and maintain data pipelines using tools like Airflow, Kubeflow, and MLflow to support ML/AI workflows. Model Development & Deployment Design, develop, and enhance machine learning and AI models tailored to product discovery and search functionalities. Conduct feature engineering to extract meaningful insights from historical data, search queries, product catalogs, and images. Collaborate with Data Engineers to integrate and scale ML components to production-level systems capable of handling large-scale data. Ensure seamless deployment of models, maintaining high availability and performance in cloud environments. Algorithm Implementation & Optimization Dive deep into algorithm applicability, performing impact analysis to ensure models meet performance and business objectives. Optimize and build new algorithms to address various challenges in product discovery and search. Productization of ML/AI Solutions Translate data-driven insights and models into actionable product features that enhance user experience. Work closely with Data Science, Product and Engineering teams to implement practical ML/AI applications that drive business outcomes. Continuous Learning & Improvement Stay abreast of the latest advancements in ML/AI, particularly in generative AI and large language models (LLMs). Continuously refine and improve existing models and workflows based on new research and industry trends. Qualifications Educational Background BS/MS degree in Computer Science, Engineering, Mathematics, or a related discipline with a strong mathematical foundation. Experience 5-8 years of experience building ML-driven, fast, and scalable ML/AI algorithms in a corporate or startup environment. Technical Skills Proficient in Python with excellent programming skills. Strong understanding of machine learning and natural language processing technologies, including classification, information retrieval, clustering, knowledge graphs, semi-supervised learning, and ranking. Experience with deep learning frameworks such as PyTorch, Keras , or TensorFlow . Proficient in SQL and experience with data warehouses like Redshift or BigQuery . Experience with big data technologies such as Hadoop, Spark, Kafka , and data lakes for large-scale processing. Strong understanding of data structures , algorithms , and system design for building highly available, high-performance systems. Experience with workflow orchestration and ML pipeline tools such as Airflow , Kubeflow , and MLflow . Specialized Knowledge Strong awareness of recent trends in Generative AI and Large Language Models (LLMs). Experience working with the GenAI stack is highly desirable. Soft Skills Excellent problem-solving and analytical skills with the ability to adapt to new ML technologies. Effective communication skills in English, both verbal and written. Ability to work collaboratively in a fast-paced, agile environment. More things youll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. Weve embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about whats ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Ve e a is available to help navigate work-related communications & decision-making challenges.* Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* Subscription to Calm - sleep and meditation app.* We organize DisConnect days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: Restricted Stock Units or Stock Options are granted depending on a team member s role, seniority, and location.* Everyone gets to participate in the companys success through the company performance bonus.* We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesnt suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

Bloomreach is building the world s premier agentic platform for personalization .We re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. Were taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise available on demand, at every touchpoint in their journey. Were designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And were building all of that on the intelligence of a single AI engine Loomi AI so that personalization isnt only autonomous its also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is solving one of the digital world s most fundamental problems: helping businesses leverage data to drive personalized and optimized customer experiences. We are seeking a Staff Software Engineer to join our Analytics Team , which focuses on building scalable data infrastructure, developing analytics frameworks, and delivering actionable insights that enhance search, recommendations, and personalization. As a Staff Engineer, you will play a critical technical leadership role , setting direction for major engineering efforts and guiding teams through design, implementation, and scaling of core data and analytics systems. Your work will directly influence personalization capabilities and the performance of Bloomreach s intelligent commerce platform. This is a unique opportunity to own key architectural decisions , mentor engineers, and shape the long-term vision of our analytics platform that powers personalized digital experiences across global brands. What Youll Do: Architect, design, and scale complex data processing pipelines and analytics systems to support real-time and batch use cases across search and recommendations. Develop high-performance, fault-tolerant infrastructure that enables fast, accurate, and actionable insights across large-scale datasets. Lead cross-functional initiatives by partnering with Product, Data Science, and Engineering teams to deliver innovative, data-driven personalization features. Drive the design and evolution of analytics frameworks to measure and optimize customer engagement, search effectiveness, and recommendation relevance. Guide the integration of machine learning models into production pipelines, ensuring reliable delivery of ML-powered features at scale. Champion engineering best practices around data quality, monitoring, performance optimization, and platform reliability. Mentor engineers , provide architectural guidance, and influence long-term technical strategy across the team. Take ownership of project execution, helping teams navigate ambiguity and ensuring timely, high-quality delivery in an agile environment. What Youll Need: 8+ years of hands-on experience in software engineering, with deep expertise in data-intensive systems , analytics platforms, or personalization technologies. 5+ years of experience working with big data technologies such as Spark, Hadoop, Map/Reduce, Kafka , and cloud-native data platforms (e.g., AWS, GCP, or Azure ). Strong proficiency in Java, Python, Go , or other modern programming languages; deep understanding of distributed systems and software architecture. Proven experience designing, building, and maintaining scalable and reliable data pipelines in production environments. Advanced knowledge of data structures, algorithms , and system design principles. Familiarity with machine learning workflows , including feature engineering and model serving in production. Experience with analytics frameworks , BI tools, and data platforms such as Databricks, Snowflake, BigQuery , and Tableau is a plus. Demonstrated ability to lead through influence , drive complex projects across teams, and foster a culture of technical excellence. More things youll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. Weve embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about whats ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Ve e a is available to help navigate work-related communications & decision-making challenges.* Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* Subscription to Calm - sleep and meditation app.* We organize DisConnect days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: Restricted Stock Units or Stock Options are granted depending on a team member s role, seniority, and location.* Everyone gets to participate in the companys success through the company performance bonus.* We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesnt suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees. #LI-Remote

We are seeking a Technical Architect with 10+ years of experience in Microservice .Net Technologies with at least 4 years of experience in technical Architecture. The ideal candidate will have strong expertise in software architecture, system design, and cloud computing. You will collaborate with cross functional teams, providing technical leadership and ensuring best practices are followed in software development and deployment. Educational Qualification: The ideal candidate should possess an educational background in Engineering along with a proven track record of delivering successful projects. Technology/Skills: Expertise in Microsoft .NET Technologies and MVC Architecture. Strong design experience, including experience in architecture and design patterns. DevOps/ Cloud experience is an added advantage. Strong experience in integration architecture, including API Gateway, Service Catalogues etc. Strong experience in integration design for secure and scalable API s and web services. Excellent communication and interpersonal skills, with the ability to build strong relationships with stakeholders at all levels. Proven ability to lead cross-functional teams and deliver projects on time, within budget, and to the required quality standards. Roles & Responsibilities: Lead and manage end-to-end technical project, ensuring successful planning, execution, and delivery within scope, budget, and timeline. Collaborate with cross-functional teams, including software developers, quality assurance, and stakeholders, to define project requirements, objectives, and deliverables. Provide technical guidance and expertise in Microsoft .NET, MS SQL, ASP.NET Core, and Azure to the project team, assisting with problem-solving, troubleshooting, and decision-making. Ensure adherence to software development best practices, coding standards, and quality assurance processes throughout the project lifecycle. Act as a liaison between technical and non-technical stakeholders, effectively communicating project updates, progress, and risks. Conduct regular project status meetings, providing comprehensive reports and updates to project sponsors and stakeholders. Stay up to date with industry trends, emerging technologies, and best practices in Microsoft .NET, MS SQL, ASP.NET Core, and Azure, and apply this knowledge to project execution. .Net Technologies, Ms Sql, Azure, Microserivce, Mvc Architecture

If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organizations strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Job responsibilities Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc. and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firmwide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills Bachelors or Masters degree in Computer Science or related field with 10+ years of experience. 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, and operational stability. Expertise in architecture disciplines and programming languages. Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing. Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills Financial services experience, especially in card and banking. Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake. Business architecture knowledge and experience with architecture assessment frameworks. If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Technology, you will be a key member of the Data Product Solutions Architecture Team. Your role involves designing, developing, and implementing analytical data solutions that align with the organizations strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals. Job responsibilities Represent the Data Product Solutions Architecture team in various forums, advising on Data Product Solutions. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making. Evaluate and select data technologies, driving the adoption of emerging technologies. Develop architectural models using Archimate, C4 Model, etc. and other artifacts to support data initiatives. Serve as a subject matter expert in specific areas. Contribute to the data engineering community and advocate for firmwide data practices. Engage in hands-on coding and design to implement production solutions. Optimize system performance by resolving inefficiencies. Influence product design and technical operations. Develop multi-year roadmaps aligned with business and data technology strategies. Design reusable data frameworks using new technologies. Required qualifications, capabilities, and skills Bachelors or Masters degree in Computer Science or related field with 10+ years of experience. 5+ years as a Data Product Solution Architect or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Hands-on experience in system design, application development, and operational stability. Expertise in architecture disciplines and programming languages. Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering Practical experience with AWS, big data technologies, and data engineering disciplines. Advanced experience in one or more data engineering disciplines, e.g. streaming, ELT/ELT, event processing. Proficiency in SQL and data warehousing solutions using Teradata or similar cloud native relational databases, e.g. Snowflake, Athena, Postgres Strong problem-solving, communication, and interpersonal skills. Ability to evaluate and recommend technologies for future state architecture. Preferred qualifications, capabilities, and skills Financial services experience, especially in card and banking. Experience with modern data processing technologies such as Kafka streaming, DBT, Spark, Python, Java, Airflow, etc. using data mesh & data lake. Business architecture knowledge and experience with architecture assessment frameworks.

The Data Engineering role requires working on the Big data warehouse for Personalization Products. The associate may be involved in one or more business applications which are part of personalization portfolio. The associate would be working in a Global Team working closely in a distributed setup across timezone. Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce. Build systems and workflows to process and manage petabyte scales of features data. Collaborate with member of technical staff to deliver end-to-end scalable systems for cross- functional projects. Work closely with business and product stakeholders to deliver on strategy, vision and roadmap for top initiatives in Personalization and Recommendations. Actively keep pace with new developing technologies in the data space and present technical solutions including architecture, design, implementation details, and customer and business impacting KPIs. Actively contribute to research community through participation at conferences, seminar and workshops. What you will bring: You have experience in building large-scale distributed systems that process large volume of data focusing on scalability, latency, and fault-tolerance. You have knowledge of complex software design, distributed system design, design patterns, data structures and algorithms. You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform. You have experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency. You have experience in designing features and models from structured and unstructured data. You have experience in building datasets, tools, and services supporting big data and analytics operations. You have experience in relational SQL and NoSQL databases like Cassandra, Azure SQL, Cosmos. You are proficient in Java or Scala, Python, shell scripts, HQL, SQL. You have experience with distributed version control like Git or similar. You are familiar with continuous integration/deployment processes and tools such as Jenkins and Maven. You have strong written and oral communication skills. Good to Have Skills Hands-on experience with Java. Work experience with Spring framework. Work experience in using/building feature stores. Minimum Qualifications... Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification

The Data Engineering role requires working on the Big data warehouse for Personalization Products. The associate may be involved in one or more business applications which are part of personalization portfolio. The associate would be working in a Global Team working closely in a distributed setup across timezone. What will you do: Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce. Build systems and workflows to process and manage petabyte scales of features data. Collaborate with member of technical staff to deliver end-to-end scalable systems for cross-functional projects. Work closely with business and product stakeholders to deliver on strategy, vision and roadmap for top initiatives in Personalization and Recommendations. Actively keep pace with new developing technologies in the data space and present technical solutions including architecture, design, implementation details, and customer and business impacting KPIs. Actively contribute to research community through participation at conferences, seminar and workshops. What you will bring: You have experience in building large-scale distributed systems that process large volume of data focusing on scalability, latency, and fault-tolerance. You have knowledge of complex software design, distributed system design, design patterns, data structures and algorithms. You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform. You have experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency. You have experience in designing features and models from structured and unstructured data. You have experience in building datasets, tools, and services supporting big data and analytics operations. You have experience in relational SQL and NoSQL databases like Cassandra, Azure SQL, Cosmos. You are proficient in Java or Scala, Python, shell scripts, HQL, SQL. You have experience with distributed version control like Git or similar. You are familiar with continuous integration/deployment processes and tools such as Jenkins and Maven. You have strong written and oral communication skills. Good to Have Skills Hands-on experience with Java. Work experience with Spring framework. Work experience in using/building feature stores. Minimum Qualifications... Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. What you will do Architect and build solutions that impact millions of associates and customers across the globe. Design and deploy scalable, cloud-native systems with a focus on AI applications including LLM-based solutions and generative AI. Lead the adoption and integration of advanced tools in AI, big data, microservices, and cloud platforms such as Azure. Foster a culture of continuous learning by contributing to tech communities and collaborating across teams. Partner with data scientists, product managers, and engineers to deliver integrated AI solutions that align with business goals. Build and maintain RESTful APIs, Kafka streams, and Cosmos DB to support real-time data processing. Apply big data technologies such as Kafka to manage and analyze large-scale datasets effectively. Champion best practices in CI/CD and DevOps to ensure reliable, high-quality software delivery. Facilitate design thinking workshops, conduct code reviews, and offer technical mentorship to drive excellence and innovation. Support and mentor team members, promoting knowledge sharing and continuous improvement. What you will bring Industry Experience: 14+ years of experience in software engineering with a focus on building and scaling distributed, high-availability systems. Technical Skills: Strong development experience with React, React Native, JavaScript, Java and Python. AI/ML Expertise: Hands-on experience with AI/ML, including integrating large language models (LLMs), prompt engineering, RAG, and fine-tuning techniques. Cloud Knowledge: Deep understanding of cloud platforms (Azure preferred), cloud-native architecture, and deployments. Infrastructure Skills: Proficiency in Kafka, Cosmos DB, REST APIs, and GraphQL. Containerization: Expertise in Docker and Kubernetes for orchestration and deployment. DevOps Proficiency: Strong grasp of CI/CD pipelines, monitoring, Git, and tools like Jenkins. System Design: Experience designing scalable microservices-based systems. Collaboration and Leadership: Strong communication skills, a collaborative mindset, and the ability to lead and mentor in a dynamic environment. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and5 years experience in software engineering or related area. Option 2: 7 years experience in software engineering or related area. Preferred Qualifications... Master s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years experience in software engineering or related area.

Design, develop, and deploy highly available and scalable systems with a focus on AI and cloud-native solutions. Develop and optimize applications using React, Java Script, and Java, ensuring high performance and reliability. Implement and integrate AI-driven solutions, including LLM-based applications, Gen AI, and Agentic AI frameworks. Build and maintain RESTful web services, Kafka queues, and Cosmos DB for real-time data processing. Leverage big data technologies such as Kafka to process and analyze large-scale datasets efficiently. Architect and implement microservices-based solutions using service-oriented architecture (SOA) principles. Deploy and manage applications on Azure cloud platforms, leveraging Kubernetes and other cloud-native technologies. Drive best practices in CI/CD, Dev Ops, and operational excellence for seamless deployments and system reliability. Collaborate cross-functionally with engineers, data scientists, and product teams to define system architecture and development roadmaps. Provide technical leadership, making design tradeoffs to balance long-term scalability with short-term execution needs. Ensure database performance and scalability by working with relational and No SQL databases. Act as a mentor, fostering technical growth within the team and contributing to a culture of continuous learning and innovation. What you will bring 10+ years of experience in software engineering, with a proven track record of delivering production-grade applications. Strong programming skills in React, Java Script, and Java. Hands-on experience with AI/ML technologies, including LLM integrations, Prompt Engineering, Gen AI, and Agentic AI. Proficiency in Kafka, Cosmos DB, and RESTful web services. Strong understanding of cloud computing (Azure preferred), Kubernetes, and distributed systems. Experience in service-oriented architecture (SOA) and scalable system design. Expertise in Relational and No SQL databases. Familiarity with CI/CD pipelines, Dev Ops best practices, and operational excellence principles. Excellent problem-solving skills, with the ability to make strategic tradeoffs in design decisions. Strong communication and collaboration skills, including influence, consensus building, persuasion, and conflict resolution abilities Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years experience in software engineering or related area.Option 2: 6 years experience in software engineering or related area. Preferred Qualifications... Master s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years experience in software engineering or related area

The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver code modules, stable application systems, and software solutions. This includes developing, configuring, or modifying complex integrated business and/or enterprise application solutions within various computing environments. This role facilitates the implementation and maintenance of complex business and enterprise software solutions to ensure successful deployment of released applications. Core Responsibilities: First principle thinking: Be curious and go down to the depth of problem statements Understand, identify and derive solutions to problem statements. Under the guidance of Lead Engineer, Engineering Manager and Product Manager, work towards achieving the goals. Develop clean code which can be easily maintained following the code standards and principles. Should be accountable and responsible for delivering functional, defect applications. Contribute to Innovation, Engineering practices and Engineering Culture within the team. Hands on experiences in building Banck end applications. Review design and code of team members and provide timely guidance to the team Be able to problem solve and help the team for resolving complex issues Should be able to identify the root cause of production issues and come up with solutions immediately. Proactively identify dependencies with various enterprise products and channel it to the product backlog Should be a team player, should have experience in Agile Share learnings and best practices with the team members Years of Experience: 5-8 years in software / IT development 4 + years of hands-on experience in design, build and supporting distributed architecture using Java Spring boot, Reactive programming, Web flux. 3+ years of hands-on experience in developing streaming applications using Kafka, Couchbase / Mongo DB in GCP 5 + years of experience in Backend development 4+ years of agile software delivery Required Minimum Qualifications: Bachelor s degree in computer science, computer information systems, or related field (or equivalent work experience in lieu of degree) Skill Set Required: You must have 4+ years of hands-on experience in minimum 2 complex backend applications. Understanding the priorities, scope and OKRs Understand the trade-offs in different technical choices Backend stack exposure Microservices architecture and REST standards Java/SpringBoot, Reactor, Webflux Fault tolerant System Design Observability and monitoring of systems 2 years of experience writing technical documentation in a software environment and developing and implementing business systems within an organization Secondary Skills (desired): Familiarity with JavaScript, React, and Node.js for full-stack or frontend development.

As an Engineering Manager for the Core Software and Data Management team at NetApp, you will lead a team focused on delivering solutions that meet customers needs across engineered systems and cloud services. The CSDM team is responsible for a range of functions in ONTAP, NetApps cross-platform data management and storage software. Areas of responsibility include ONTAP Filesystem, Anti-ransomware and Encryption data management capabilities, Core wafl features and quality. You will direct the activities of a software development team that designs, develops, tests, and owns the software lifecycle. You will impact the planning, execution, and delivery of parallel projects for NetApp customer. Job Requirements Solid technical expertise in C, C++, system design, and operating systems. Proven experience managing small to medium-sized software development teams. Build strong working relationships across all levels of the organization, including remote areas. Excellent verbal and written communication skills. Strong understanding of software development lifecycle, quality assurance processes, and project management methodologies. Experience with cloud technologies, and hybrid cloud solution. Job Responsibilities Lead and manage a team of engineers to deliver complex Data Management capabilities. Create and influence strategy and deliver on execution. Apply in-depth knowledge to solve broad issues that are complex in scope and establish medium to long-range plans. Work effectively with staff to vice president level employees and employees within and outside of their function and organization. Interface with customers and partners to resolve escalations in conjunction with support teams. Hire, Mentor and develop engineering talent, fostering a culture of innovation, collaboration, and continuous improvement. Ensure the team adheres to best practices in software development, quality assurance, and project management. Drive the adoption of new technologies and methodologies to improve efficiency and product quality. Oversee resource allocation, project prioritization, and timelines to ensure successful project delivery. Collaborate with other senior leaders to align engineering efforts with business objectives. Education Requires a minimum of 3 years related to people leadership and project management. 10+ years in technology or other software development industry. Bachelor of Science degree in Computer Science or equivalent experience.

As a leader within FBA, you will provide both strategic and tactical oversight to build the features and functionality required to have the best in class offering for sellers. This leader will create mechanisms to drive optimal seller behavior for FBA inventory management, reducing total supply chain costs and making it easier for sellers to get their inventory close to customers, delivering more items with a Prime delivery promise. This leader will invent new ways to deliver value for sellers and their products, while leveraging the scale and innovation of technology from across the Amazon family, including AWS. We operate as a startup within Amazon, providing our team great flexibility in product and technology direction. Come, join us and build the future! You will solve ambiguous business problems and map them to elegant technical solutions * You will use object-oriented concepts, algorithms and data structures to build systems at Amazon scale * You will design, launch, and re-architect multi-tier systems with large amounts of data * You will quickly adapt to fast-paced development environment with bias towards simple and extensible code Bachelors degree or higher in computer science or equivalent 3+ years of non-internship professional software development experience 3+ years of programming with at least one software programming language experience 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Code, design, and implementation sets the example to others 3+ years of leading engineering excellence, including coding standards, code reviews, source control management, build processes, testing, and operations experience Prior experience architecting, developing and operating large scale distributed systems Prior experience in component architecture, simplification, data structures and code refactoring Experience with high-volume transaction processing Retail/e-commerce system design experience in a global context

The Product Security Engineer is a product team s cybersecurity focal point for secure product development and maintenance of released product. The Product Security Engineer is an experienced member of the product engineering team with influence to drive product privacy and cybersecurity features and enhancements. The Product Security Engineer must have deep product knowledge to ensure the clinical functionality, expected operating environment, and interoperability to accurately determine a product s privacy and security risks.. Essential Responsibilities : GE Healthcare have devised a Design Engineering Privacy and Security Procedure to ensure compliance to the special cybersecurity needs of the Healthcare industry across the continuum of the Secure Development Life Cycle. Roles and Responsibilities : 1. Provide privacy and security technical expertise in support of the product team throughout product development, design change, and life-cycle management. 2. Work with the Product Security Leader (PSL) to support the product team with process expertise for the GE HealthCare-GEHC Product Cybersecurity Standard and life-cycle management. 3. Product cybersecurity development responsibilities: Assess the privacy and cybersecurity state of the product and define product roadmap features/enhancements with stakeholder approval Responsible for security architecture and coordination of product development for cybersecurity features and enhancements Assess product components and SBoM integrated into the product Perform defect management for cybersecurity issues Identify operational responsibilities and adherence to cloud standards for cloud- based products Responsible for Product and Security Manual and MDS2 documentation 4. In coordination with the PSL, own and deliver GEHC Product Cybersecurity Standard artifacts, which includes: Design input activities to identify, evaluate, roadmap, and drive cybersecurity and privacy features and enhancements within product development programs Create Design Engineering Privacy and Security (DEPS) artifacts for privacy and security risk assessments to engage in domain-specific product threat modeling, attack surface analysis, risk management and reduction Coordinates with the PSL to support the product team in scheduling and performing vulnerability scans and cybersecurity assessments Lead product Security Technical Design Reviews Along with the product LSD, responsible for the GEHC Product Cybersecurity Standard compliance and other pertinent standards and process. 5. Stay current on healthcare privacy trends and regulatory environment (i.e. FDA, HIPAA, GDPR, etc ) to effectively communicate privacy awareness with the product team. 6. Works with the GEHC Product Security team and QARA on released product life-cycle, including: Participate in post-market product vulnerability monitoring Participate as an Subject Matter Expertise to determine product vulnerability impact, investigation, and risk assessment. Responsible for product vulnerability mitigation and design change. Responsible for GEHC vulnerability tool update to ensure accurate customer communication. 7. Address customer and Sales RFP privacy and security feedback/questions. 8. Provide technical expertise on customer concerns, complaints, and CSO escalations. 9. Create/Maintain responsible product records within GEHC product cybersecurity tools. 10. Active involvement in DoD RMF submission process and maintenance. Educational Qualifications: Bachelors Degree in a relevant field (e.g. Computer Engineering, Computer Science, Information Security) or in a STEM major (Science, Technology, Engineering, or Math) 3+ years of progressive experience as a development/cybersecurity engineer or scientist/researcher working with a cybersecurity skill set. Desired Characteristics: Sound technical and domain experience in at least two cybersecurity functional technology areas. Technical assessment (system/web application vulnerability assessment, penetration testing, white-box code analysis, etc.) and security architecture (design of security controls, secure system design, understanding of identity and authentication management, etc.).

Project description Objective: The objective of this project is to design and develop a comprehensive In-Vehicle Infotainment (IVI) system for automobiles, focusing on UI/UX design, IVI system architecture, and software development. The goal is to enhance the in-car user experience, provide seamless connectivity, and deliver a feature-rich entertainment and information platform. Key Components: UI/UX Design: Create an intuitive and visually appealing user interface for the IVI system. Design user-friendly navigation, controls, and visual elements for optimal usability. Ensure a consistent and responsive user experience across various screen sizes and resolutions. IVI System Design: Develop a modular and scalable IVI system architecture. Integrate multimedia features, including audio/video playback, navigation, and smartphone connectivity. Implement connectivity options such as Bluetooth, Wi-Fi, and USB for seamless device integration. Support voice recognition and other hands-free functionalities. Software Architecture: Define the overall software architecture of the IVI system. Implement a robust and secure software framework to handle multimedia processing, communication, and external device interactions. Incorporate a flexible application framework to allow for future updates and enhancements. Integration with Vehicle Systems: Collaborate with automotive engineers to ensure seamless integration with vehicle systems and controls. Implement protocols for communication with vehicle sensors and interfaces. Ensure compatibility with existing in-car systems such as climate control and steering wheel controls. Testing and Quality Assurance: Conduct thorough testing of the IVI system to ensure functionality, performance, and reliability. Implement a testing strategy for UI/UX validation, software functionality, and system integration. Address and resolve any identified issues through rigorous quality assurance processes. Documentation: Locations-PUNE,BANGALORE,HYDERABAD,CHENNAI,NOIDA Create comprehensive documentation for UI/UX design, IVI system architecture, and software development. Provide user manuals and technical documentation for end-users and maintenance teams. Project Timeline: Define a project timeline with milestones for each phase, including design, development, testing, and deployment. Regularly review and update the project schedule based on progress and adjustments. This project aims to deliver a cutting-edge IVI system that not only meets but exceeds user expectations in terms of functionality, aesthetics, and integration within the automotive environment. The project team will work collaboratively to bring innovative features to the in-car experience while adhering to industry standards and best practices. Responsibilities System Architecture DesignDevelop and design the overall system architecture for In-Vehicle Infotainment systems with a specific focus on integrated circuits. IC SelectionEvaluate, select, and integrate appropriate integrated circuits and semiconductor components for IVI system functionalities, ensuring compatibility and performance. Hardware-Software IntegrationFacilitate the integration of hardware and software components within the IVI system, ensuring seamless communication and functionality. Performance OptimizationOptimize the performance of integrated circuits within the IVI system, considering factors such as processing speed, power consumption, and heat dissipation. Collaboration with Engineering TeamsWork closely with hardware engineers, software developers, and other relevant teams to ensure the cohesive integration of ICs into the overall IVI system. Technical LeadershipProvide technical leadership in the field of ICs, guiding the development team in selecting cutting-edge technologies and ensuring adherence to industry best practices. Specification DevelopmentContribute to the development of technical specifications and requirements for integrated circuits, taking into account the specific needs and constraints of the IVI system. Quality AssuranceImplement quality assurance measures to ensure the reliability and stability of integrated circuits within the IVI system, conducting thorough testing and validation processes. Lifecycle ManagementOversee the lifecycle of integrated circuits, including evaluation, selection, procurement, and eventual replacement or upgrade as technology evolves. Cost OptimizationWork towards optimizing costs associated with integrated circuits, balancing performance requirements with budget constraints. Regulatory ComplianceEnsure that the integrated circuits used in the IVI system comply with relevant industry standards, regulations, and safety requirements. Research and DevelopmentStay abreast of emerging technologies and advancements in the field of integrated circuits, contributing to ongoing research and development efforts. Risk ManagementIdentify and mitigate potential risks associated with the selection and integration of integrated circuits, ensuring the overall stability and reliability of the IVI system. DocumentationMaintain comprehensive documentation related to IC selection, integration processes, and system architecture for future reference and knowledge transfer. Vendor Relationship ManagementManage relationships with IC vendors, collaborating on product specifications, performance requirements, and addressing any technical challenges that may arise. SkillsMust have Integrated Circuit (IC) DesignProficiency in the design and development of integrated circuits, understanding the principles of IC architecture, layout, and functionality. System ArchitectureExpertise in defining and designing the overall system architecture for In-Vehicle Infotainment (IVI) systems, with a focus on integrated circuits. Hardware-Software IntegrationStrong capabilities in integrating hardware and software components within the IVI system, ensuring seamless interaction and optimal performance. Technical LeadershipDemonstrated ability to provide technical leadership, guiding teams in the selection and integration of cutting-edge technologies related to integrated circuits. IC Selection and EvaluationExperience in evaluating, selecting, and integrating appropriate integrated circuits and semiconductor components based on performance, compatibility, and reliability. Performance OptimizationSkills in optimizing the performance of integrated circuits, considering factors such as processing speed, power consumption, and thermal management. Collaboration and CommunicationExcellent collaboration and communication skills to work effectively with cross-functional teams, including hardware engineers, software developers, and other stakeholders. Regulatory ComplianceUnderstanding and adherence to relevant industry standards and regulations governing the use of integrated circuits in automotive systems. Quality AssuranceImplementation of robust quality assurance measures to ensure the reliability, stability, and safety of integrated circuits within the IVI system. DocumentationStrong documentation skills to maintain comprehensive records related to IC selection, integration processes, system architecture, and technical specifications. Risk ManagementAbility to identify potential risks associated with integrated circuits, and develop and implement mitigation strategies. Vendor ManagementExperience in managing relationships with IC vendors, collaborating on specifications, performance requirements, and addressing technical challenges. Research and DevelopmentOngoing commitment to staying informed about emerging technologies and advancements in the field of integrated circuits, contributing to research and development efforts. Cost OptimizationSkills in optimizing costs associated with integrated circuits, finding a balance between performance requirements and budget constraints. Lifecycle ManagementOversight of the entire lifecycle of integrated circuits, from evaluation and selection to procurement and eventual replacement or upgrade. Nice to have User Experience (UX) UnderstandingFamiliarity with UX design principles to enhance the overall user experience within the IVI system. Agile MethodologiesExperience with Agile development methodologies, such as Scrum or Kanban, to adapt to iterative development processes and enhance collaboration. Data SecurityKnowledge of data security principles, especially as they relate to integrated circuits within the IVI system. Cybersecurity AwarenessUnderstanding of cybersecurity considerations and best practices to ensure the integrity and security of the IVI system. Automotive Industry KnowledgeFamiliarity with trends, challenges, and specific requirements within the automotive industry, especially related to in-vehicle infotainment systems. Patent and Intellectual Property AwarenessUnderstanding of patent and intellectual property considerations, contributing to innovation and protecting intellectual assets. Machine Learning and AIBasic knowledge of machine learning and artificial intelligence, exploring opportunities for integration within the IVI system. Multilingual ProficiencyProficiency in multiple languages, considering the global nature of the automotive industry and diverse user demographics. Networking ProtocolsUnderstanding of networking protocols relevant to IVI systems, facilitating seamless communication between devices. Human-Machine Interface (HMI)Familiarity with HMI design principles for effective interaction between users and the IVI system. Energy EfficiencyConsideration for energy-efficient design, optimizing integrated circuits for lower power consumption. 3D Graphics ProgrammingBasic understanding of 3D graphics programming for enhanced visual elements within the IVI system. Cross-Cultural CommunicationSkills in cross-cultural communication, particularly beneficial for international collaboration and understanding diverse user needs. Public SpeakingAbility to effectively present and communicate complex technical concepts to both technical and non-technical audiences. Continuous LearningA commitment to continuous learning, staying updated on emerging technologies, and industry best practices.

Project description You will be responsible for managing technology in projects and providing technical guidance and solutions for work completion. (1.) To be responsible for providing technical guidance and solutions. (2.) To ensure process compliance in the assigned module and participate in technical discussions and reviews. (3.) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations. (4.) Being self-organized, focused on developing on time and quality software. Responsibilities Demonstrate a systematic and disciplined architecture, system design, and programming approach following a standard software development lifecycle Meticulous attention to detail and strong focus on clear and practical documentation Work closely with development manager, Project Manager, and a team of developers Design, Code, Unit Test, and support software components Deliver quality software in a timely manner following standard software development processes Analyze problems raised in software development or production environments and provide timely solutions Develop, prepare, and maintain system documentation, including program descriptions, operational procedures, etc. Act as the second line of support during production problems SkillsMust have Bachelor's degree in Computer Science, Engineering, or a related field. Proven 8+ years of experience as a full-stack developer with expertise in .NET technologies and C#. Experience with database systems, especially with writing complex SQL queries. Familiarity with microservices architecture and its implementation. Solid understanding of web development best practices, design patterns, and architecture. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced and dynamic environment. If you are passionate about full-stack development and possess the required skills, we invite you to join our team and contribute to the success of our innovative projects. Nice to have N/A

Software developers at IBM are the backbone of our overall strategy, and software development is the essential activity that drives the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and technologies and work with leading minds in the industry to build products, path-breaking technologies, and solutions that you can be proud of. Do you have the skills and passion for building the futureIf yes, join a niche team at IBM Software Labs focused on building an AI-driven Digital Labor platform, Watson Orchestrate, an AI platform that offers digeys (aka digital employees) with custom skills that can automate today’s businesses. Look for more details at https://www.ibm.com/products/watson-orchestrate We seek architects with hands-on experience developing and supporting software products and services on cloud platforms. The ideal candidate would have rich experience building SaaS products/services, and incrementally deploying them on cloud environments with a deep understanding of platform development, system design, associated tools, technologies, and best practices. Experience in Test-driven development, quality through automation, application security etc., would be a plus. Key Responsibilities Design and develop scalable and high-performance web applications using React, Node.js, Java, and Spring framework technologies. Lead architectural design and implementation of microservices and containerized applications. Define and implement best practices for containerization using Kubernetes and Docker. Collaborate with cross-functional teams to ensure seamless integration of front-end and back-end components. Drive performance optimization and scalability improvements across applications and infrastructure. Develop strategies for continuous integration, continuous deployment (CI/CD), and automation. Conduct code reviews and mentor development teams to uphold code quality and architectural standards. Evaluate and recommend new tools, technologies, and frameworks to enhance development productivity. Troubleshoot and resolve complex technical issues related to application performance, deployment, and scalability. Document architectural decisions, system designs, and operational processes for knowledge sharing. Stay updated with emerging industry trends and apply them to improve system architecture and development practices. Required education Bachelor's Degree Required technical and professional expertise 15+ years of programming experience. Proven experience as a full stack developer with expertise in Node.js/Java with Spring framework for backend, and React.js and Typescript for frontend development. Robust system design and programming skills. Hands-on experience with Containers, Docker, Kubernetes, and Linux environments. Experience building distributed and scalable SaaS offerings based on REST APIs, microservices, and container orchestration. Strong background in system design and supporting cloud services. Knowledge of identity and access management (IAM) frameworks. Ability to quickly learn and independently become productive with new technologies. Experience in technically coaching and guiding junior developers, including system design, code reviews, and best practices. Excellent communication skills and demonstrated technical leadership qualities.