10055 Computer Science Jobs - Page 14

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Others: Education Degree or above in Information Technology, Computer Science or equivalent Excellent verbal and written communications skills Good knowledge of release process and control procedures. Strong experience in dealing with geographically diverse teams globally Nice to have Python, Machine Learning, Artificial Intelligence, Investment Banking Other Languages EnglishC2 Proficient Seniority Senior

Role & responsibilities 1. Manual localization testing on software, documents, help, and hardware items 2. Reporting issues and providing pertinent information 3. Cross-functional collaboration with international teams 4. Potential duties in test plan design, automated test procedures, and process improvement Main Characteristics of a Successful LQA Tester: 1. IT background and experience in testing 2. Proficiency in multiple programming/scripting languages 3. Bug reporting knowledge using systems like Jira and Bugzilla 4. Native language proficiency with native keyboards 5. Extra skills: scripting/automation expertise, translation experience What Testers Do: Linguistic Testing: Spelling, grammar, clipping, inconsistency, stylistic, context issues Functionality Testing: Verify correct behavior and functionality in native language Localizability Testing: Identify language-specific bugs and suggest solutions Preferred candidate profile Required Skills: Fluency in the native language Telugu 100% fluency in English Deep knowledge of linguistics Strong analytical, communication, and interpersonal skills Attention to detail and excellent team player Ability to thrive under pressure and work on multiple projects Passion for breaking software to improve it

The Role. The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking :. Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best :. Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills :. Languages & Frameworks Proficiency in Python, PyTorch, TensorFlow, JAX. (ref:hirist.tech).

:. Implementation, Development & customization of Oracle Banking Digital Experience (OBDX) / Oracle FLEXCUBE Direct Banking (FCDB) project. Developing REST APIs. Analyzing & understanding requirement. Develop code as per the coding standards. Code debugging and providing efficient fixes. Fine tuning the code to improve on performance. Qualification And Experience. Excellent design and coding skills in Digital Banking implementation & development. Minimum 2 years of experience in Internet Banking Application implementation /customization / Development using OBDX / Flexcube Direct Banking (FCDB). Good analysis, interpersonal & communication skills. Ability to multi-task in a dynamic work environment. Experience working with Web logic Application Server, Oracle Database. Hands-on experience in working with XML, XSLT, SOAP, RESTful Web Services, JSON. Should be proficient in Core Java and Advanced Java. Sound experience in one of the frameworks Struts, Spring or similar. Experience in KnockoutJS is must. Comfortable working in a fast-moving agile environment. Bachelor's / Master's (preferred) in Computer Science with Strong communication skills. (ref:hirist.tech).

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Global Supply Chain and Logisticsat Target is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guests better, faster and more cost effectively than before across 1900 locations Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g. identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, Digital order Fulfillment planning, transportation resource planning, etc. As a Data Scientist in Digital fulfillment Planning space , you will have the opportunity to work with Product, Tech, and business partners to solve retail challenges at scale for our fulfillment network. Position Overview As a Senior Data Scientist at Target you will get an opportunity design,develop, deploy and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs.In this role as a Senior Data Scientist, you will: Develop a strong understanding of business and operational processes within Targets Supply chain. Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs. Analyze large datasets for insights leading to business process improvements or solution development. Work with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving digital fulfillment network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good software development/engineering practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Enhance and maintain simulation environment to enable testing/deploying new features for running custom, user defined scenarios through the simulator. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. Ensure your Target Career Profile is up to date before applying for a position. As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Haves: We are looking for candidates who meet the following criteria: Bachelors/Masters/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field. 3+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial). Strong proficiency in Python and Spark for developing and deploying optimization-based solutions. Solid understanding of operations research techniques and their application in real-world business problems . Demonstrated experience working on end-to-end solution delivery , preferably with production-grade implementation. Strong verbal and written communication skillsable to translate technical detail into business insight, and vice versa. Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity. Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams. Preferred Experience: Experience building large scale optimization models/ ability to build models with smart heuristic solutions Familiarity with supply chain or e-commerce fulfillment data and business processes. Experience working with large datasets. Experience deploying solutions at scale for business impact. Background in clean code practices, version control (Git), and collaborative development environments. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and weinvest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as oneTarget team. At our core, our purpose is ingrained in who we are, what we value, and how we work. Its how we care, grow, and wintogether. A role in Merchandising Capabilities means partnering with Merchndising, technology, data science and analytics leaders to co-create solutions that maximizes business value and enables key strategies that are critical to the enterprise and for the experiences we create for our guests. Truly an owner and expert of your product and underlying processes, you will set the vision, align on the roadmap and mobilize teams to deliver needed outcomes. Given most strategies have a business impact, you will also serve as a trusted resource to guide other enterprise partners in their solutions to ensure the success and integrity of end-to-end deliverables. As a Sr. Manager, Data Analytics in Merchandising you will be responsible for reporting, analysis, automation, and data for a specific business function within our Merchandising organization. In this role, you will serve as an advocate of our data-driven culture, build an effective reporting/data/automation ecosystem that informs and influence business decisions, and provide strategic recommendations on data analytics and automation solutions in partnership with your team of Data Analysts. You will partner with stakeholders to identify and prioritize the most valuable work for your team to deliver, creating a roadmap for when work will be delivered, along with vision for the team. Through all this, you will build a high performing team through talent pipeline planning, hiring, setting clear expectations, and performance management. Youll partner closely with our Finance, Product Management, and Data Sciences partners to identify gaps in reporting and analytics offerings and democratizing data and insights as you strive to deliver. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. As a Sr Manager Data Analytics for Targets Merch Data Analytics team youll Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmapto drive business strategiesusing data. Interfaces with Target business representatives to validate businessrequirements/requestsfor analysis and present analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Lead the team of 5-10 analysts. Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Develop analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies About you: Undergraduate Degree in Information Technology, Computer Science, Applied Mathematics, Statistics, or related work experience Minimum of 12 years of experience in data analytics and min. 2 year as people manager. Demonstrates understanding ofcapabilitiesavailablein data and analytical tools (e.g. Hadoop, Postgres, or equivalent) and data visualization tools(e.g. Domo, PowerBI, or equivalent) Has strong problem solving, analytical, and communication skills and ability to manage ambiguity Exposure and extensive hands-on work with large data sets. Hands on experience in R, Python, Hive or other open-sourcelanguages/database Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above Git source code management & experience working in an agile environment. Strong attention to detail, excellent diagnostic, and problem-solving skills Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines Excellent communication, service orientation and strong relationship building skills Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g., identifying the optimal quantities and positioning of inventory across multiple channels and locations, planning for the right mix of inventory investments vs guest experience, digital order fulfillment planning, transportation resource planning, etc. As a Senior Data Scientist in Digital fulfilment space, you will have the opportunity to work with Product, Tech, and Business Partners to solve retail challenges at scale for our fulfillment network. Position Overview: As aSenior Data Scientist at Target, you will get an opportunity design,develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs. Develop a strong understanding of business/ operational processes within Targets supply chain. Develop an in-depth understanding of the various systems and processes that influence digital order fulfillment speed & costs. Develop optimization-based solutions, approximate mathematical models (probabilistic/deterministic models) of real-world phenomena, predictive models and implement the same in real production systems with measurable impact. Analyze large datasets for insights leading to business process improvements or solution development. Develop and deploy modules for testing and validating multiple scenarios to evaluate the impact of various fulfillment strategies. Adopt modular architecture and good solution development practices to enhance the overall product performance and guide other team members. Produce clean, efficient code based on specifications. Coordinate the analysis, troubleshooting and resolution of issues in the models and software. About You: Must Have: We are looking for candidates who combine rigorous machine learning skills with a decent grasp of optimization and applied math. You should have: Bachelors/Masters/PhD in Computer Science, Mathematics, Statistics, Operations Research, or a related quantitative discipline. 4+ years of experience working across ML and optimization domains , ideally in dynamic, real-world problem spaces. Strong coding skills in Python and experience working with Spark or distributed data frameworks. Hands-on experience with ML modeling pipelines , from data ingestion and feature engineering to model development, evaluation, and deployment. Knowledge of OR techniques (e.g., LP/MIP) and how to integrate them with ML systems. Strong problem-solving skills with a track record of delivering solutions to complex, ambiguous business problems. Ability to independently own and drive projects end-to-end in a collaborative environment. Excellent communication skillsboth technical and strategicacross engineering and business teams. Preferred Experience: Experience with MLOps frameworks and practices (e.g., model versioning, CI/CD for ML, monitoring). Exposure to supply chain, logistics, or fulfillment optimization problems. Experience working in a production-scale environment with high data volume and business-critical pipelines. Ability to build solution/ models that operate at low latency. Know More here: Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

The role is to support Target's supply chain by providing accurate operational forecasts so that production plans can be synced with sales and inventory plans to ensure the timely and efficient delivery of merchandise. Successful candidates will enjoy diving deep into trends and data, discovering root causes, and implementing long-term solutions. Principal duties and Responsibilities - Deliver Demand planning, Forecast numbers on a fixed cadence(Weekly, daily, monthly or half yearly) Drive automation to allow for faster and more informed decisions, leading to improved KPIs. Enable multiple scenarios and simulations for what-if planning and analysis in specific supply chain areas. Develop exception report(s) for automatic detection of exceptions to plan, as well as processes to address the exceptions within defined SLAs. Possess Business context to understand data sources and navigate through Organizations technological roadmap. Utilize data to guide future work, build recommendations, and drive innovation. Monitor Forecast accuracy and customer service KPIs (Error, Bias and Lag Analysis). Provide deep dive analysis of red and yellow KPIs and facilitate resolution and action plans for the issues. Understand End-To-End supply chain network and solve real world problems with regards to Capacity Planning within the network. Minimum - Bachelor/Masters degree in Engineering, Supply Chain, Operations Research and/or Computer Science or a related analytical field; 2-3 years of experience in forecasting, inventory management, demand planning and Supply Planning. SQL, R or Python, Hive- Basics Prior experience working in and/or supporting Demand planning, Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning. High competency in Microsoft Excel, Microsoft Project, and PowerPoint. Dashboard tools such as Microsoft Power BI/Tableau etc. Strong communication and interpersonal skills. Preferred - Prior experience working in and/or supporting Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning. Knowledge of statistics

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Roundel is Target's entry into the media business with an impact of $1B+; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We are here to drive business growth for our clients and redefine "value" in the industry by solving core industry challenges vs. copy current industry methods of operation. Roundel is a key growth initiative for Target and lead the industry to a better way of operating within the media marketplace. Target Tech is on a mission to offer the systems, tools and support that our clients, guests and team members need and deserve. We drive industry-leading technologies in support of every angle of the business, and help ensure that Target operates smoothly, securely, and reliably from the inside out. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. Position Overview: As a Senior Engineer , you will serve as a technical specialist within the engineering team that supports the product. You will play a key role in developing robust, scalable systems and influencing your team through architectural and design guidance. You are expected to apply your deep technical skills and leadership to help the team deliver high-quality software aligned with strategic goals. Key Responsibilities: Serve as a subject matter expert in software engineering, system architecture, and scalable system design. Translate abstract architecture concepts into concrete designs and implementations. Apply appropriate software engineering patterns to build robust, maintainable systems. Develop and maintain deep knowledge of current and emerging technologies within your area of specialization. Participate in evaluating new technologies, considering factors such as technical viability, maintainability, and total cost of ownership. Initiate and lead research or proof-of-concept efforts for new technologies. Lead and conduct code reviews, design reviews, testing, and debugging at the application level. Drive and contribute to the design, lifecycle management, and total cost of ownership of services. Lead functional design and architecture discussions with a deep understanding of process flows and system diagrams. Collaborate in both routine and complex construction, automation, and implementation efforts, ensuring compliance with architectural and operational best practices. Provide technical oversight and mentor peers in resolving complex technical challenges. Lead disaster recovery planning and execution efforts. Promote and embed data quality protocols throughout data acquisition, processing, storage, and operational use. Manage product financials and forecasting as part of broader product ownership. About you: Expert knowledge of computer science, with strong competencies in data structures, algorithms, software design & architecture. Technical skills: Java, SpringBoot, Micro services, API development, React.JS, Postgres, MongoDB, NoSQL, Kafka, Redis, Docker, CICD or similar tech stack to build the platform. Experience with object oriented and/or functional programming paradigm, design pattern, testing pattern and proficiency in Java. Deliver high-performance, scalable, repeatable, and secure deliverables with broad impact. Ability to understand business requirements and translate them into technical requirements. Stays current with new and evolving technologies via formal training and self-directed education. Work with peers across teams to support and leverage a shared technical stack. Review team member's work and share knowledge. Strong sense of ownership and accountability. Excellent communication skills Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Description & Requirements Embedded within the Infor Data Services team, the Java Developer is responsible for designing and implementing high-quality, reusable Java components and services. The role involves using Spring Boot to implement microservice architectures and integrating them with various databases and data storage solutions, ensuring the performance and scalability of the software in line with Infors data management strategy. Essential Duties: Develop reusable and maintainable Java components and services. Implement microservice architecture using Spring Boot. Design REST APIs with a focus on industry standards. Utilize Spark in Java for data processing tasks. Integrate code with databases, both relational (SQL) and NoSQL. Conduct unit testing to ensure functionality meets design specifications. Apply object-oriented programming (OOP) principles effectively. Collaborate with cross-functional teams to translate technical requirements into effective code. Basic Qualifications: 4-5 years of experience in Java development. Strong proficiency in core and advanced Java, including the latest features. Experience with Spring Boot and Spark libraries in Java. Knowledge of database both relational and NoSQL. Knowledge of Multiple design patterns, Kafka, Git, Docker, and Linux. Strong communication, problem-solving, and teamwork skills. Bachelor s degree in Computer Science or a related field. Preferred Qualifications: Experience with Spark using Spring Boot. Familiarity with AWS services, and Agile tools like Jira and Confluence.

Description & Requirements Summary: The Infor Data Services team is responsible for creating customer-focused data solutions at Infor. This role centers on developing the backend systems for Infor Datamesh, which offers scalable and robust data solutions to support enterprise customers. The Software Engineer will design, develop, and maintain backend services and microservices, utilizing Python, Docker, and Kafka, while integrating with various databases and external storage solutions. The position involves building systems from scratch, upgrading existing code, and ensuring the performance and scalability of the platform in line with Infors overall data management strategy. Essential duties: Develop and maintain data-centric solutions using Python. Build scalable microservices from scratch, following best practices for design and coding. Write, maintain, and upgrade backend code, ensuring high performance and security. Integrate code with databases like MongoDB and MySQL, as well as external data storage solutions (e.g., AWS S3). Develop REST APIs using frameworks such as Django or Flask. Implement multithreading and asynchronous programming for efficient processing. Collaborate with cross-functional teams to ensure seamless integration with Infor CloudSuite products. Utilize Docker, Kafka, and domain-driven design principles for microservice deployment and event-driven architectures. Basic qualifications: 4-5 years of experience working with Python. At least 2 years of experience using API frameworks such as Django, Flask, or similar. Experience working with AWS S3, MongoDB, and relational databases like MySQL or SQL Server. Strong experience in building REST APIs using any Python framework. Experience with multithreading, asynchronous, and defensive programming. Experience with Multiple design patterns, Docker and Kafka. Proficient with Git and Linux environments. Demonstrated ability to work effectively with cross-functional teams, including clients and both business and technical stakeholders. Strong communication skills and problem-solving skills are essential. Bachelor s degree in Computer Science or a related field. Prefered qualification: Experience with microservice architecture, Delta Lake, and PySpark is a plus. Familiarity with the Infor Cloud Suites SDK. Experience working with data solutions at scale within enterprise systems. Familiarity with tools like Jira and Confluence, and Agile development methodologies.

Tech-sheet is mandate. Requisition ID P tracker Id HM Location Skill Level YTR 1395448 Elizabeth Pringle Bangalore BA Scrum Level 2 PFB Job Description & other details Mode of interview Zoom / in-person both Rounds of interview 2 or 3 Acceptable notice period Immediate, 15 days & 30 days Basic Purpose: This individual will lead Scrum stand-ups and project meetings to discuss user requirements, project status, issues, testing plans, and deployment needs. They will write functional specifications and test plans, and act as a liaison between non-technical users and developers. They must be organized, meet deadlines, communicate effectively in writing and verbally, and work independently and in a team environment. Primary Responsibilities: Support Front Office & ESG databases and workflows Log and track all user related issues, defects, enhancements and work requests Work with end users to map out and document business requirements Translate business requirements into functional specifications Conducts application administration/configuration functions Coordinates with other teams to resolve issues Work with development group to ensure that all design questions (e.g., application security, data feeds, etc.) are addressed through the business analysis process Support project deliverables, tracking, and communicating statuses to key stakeholders Manage low complexity projects (e.g., non-political, data/workflow oriented) Serve as subject matter, process, and/or operational proxy for end users in area of focus Job Requirements: Minimum of 3 years demonstrated experience with writing functional specifications Minimum of 2 years demonstrated experience with leading agile squad Experience with Front Office and ESG investment data is preferred Knowledge of database technology and SQL including stored procedures, views, etc. Excellent interpersonal skills, organizational expertise, strong analytical ability and attention to detail Ability to work with non-technical end users to interpret user requirements Ability to communicate with internal clients at all enterprise levels Ability to learn new concepts, systems, and software independently and quickly Willingness to take initiative, seeing problems through to final completion Self-motivated to work independently with excellent problem-solving and decision-making skills A demonstrated track record handling demanding user groups in a time critical environment Experience with Snowflake would be a plus Capable of managing multiple tasks with tight time deadlines Qualification: A bachelors degree or equivalent in Business Administration or Computer Science

We are looking for a highly skilled Senior Front-End Developer with strong experience in building modern, responsive, and high-performance web applications. The ideal candidate will have proficiency across multiple front-end technologies and a solid understanding of back-end integration, particularly with applications built using the .NET stack. Experience with Microsoft Razor UI is a must. Key Responsibilities: Design, develop, and maintain rich user interfaces for web applications. Collaborate with UX/UI designers to implement intuitive and visually appealing user experiences. Integrate front-end components with RESTful APIs and .NET back-end services. Develop and maintain front-end components using Microsoft Razor UI and other modern frameworks. Ensure cross-browser compatibility, performance optimization, and responsive design. Work closely with back-end developers, QA engineers, and product managers in an Agile environment. Mentor junior developers and review code for best practices and quality assurance. Participate in architectural discussions and contribute to front-end strategy and roadmap. Required Skills & Qualifications: Bachelor s degree in Computer Science, Engineering, or related field. 6+ years of front-end development experience. Strong hands-on experience with Microsoft Razor UI and .NET MVC. Proficiency in JavaScript/TypeScript , HTML5 , and CSS3 . Experience with modern JavaScript frameworks such as React , Angular , or Vue.js . Solid understanding of integration with .NET Core/.NET 6+ back-end services. Good knowledge of RESTful APIs and WebSocket integration. Experience with front-end build tools (Webpack, Vite, etc.) and package managers (npm, yarn). Familiarity with CI/CD pipelines and source control (Azure DevOps, Git). Strong problem-solving and debugging skills. Excellent communication and collaboration abilities. Preferred Qualifications: Experience with state management libraries like Redux, NgRx, or Vuex. Exposure to cloud platforms such as Azure . Familiarity with test automation frameworks like Jest, Cypress, or Selenium. Understanding of accessibility standards and SEO best practices.

Degree in computer science or related field Strong expertise in PHP and Laravel frameworks Minimum 8+ years of experience in IT industry Senior Developer or Lead Developer Role Experience with any cloud platforms (AWS, Azure) Familiarity with CI/CD pipelines and containerization (Docker is a plus) Good understanding of RESTful APIs and microservices architecture. Collaborate on the development of tools for internal usage, These include web applications, desktop applications, and automation scripts (JSX); Maintain existing applications;

Responsibilities: Participate in the design, development, and testing of software applications using the .NET framework and Vue.JS in FrontEnd framework Collaborate with senior developers and team members to understand project requirements and objectives. Write clean, efficient, and maintainable code in C# or VB.NET. Develop and maintain database schemas and SQL queries for data manipulation and retrieval. Troubleshoot and debug software applications to resolve issues and ensure optimal performance. Document software specifications, design decisions, and code changes. Follow coding standards, best practices, and software development methodologies. Stay up-to-date with emerging technologies and trends in software development. Skills: Proficiency in C# or VB.NET programming languages. Vue.JS in FrontEnd framework Understanding of software development lifecycle (SDLC) processes. Knowledge of version control systems (e.g., Git, SVN). Familiarity with Agile or Scrum methodologies is a plus. Excellent communication and interpersonal skills. Ability to work independently and prioritize tasks effectively. Eagerness to learn and grow in a fast-paced development environment. Strong analytical and problem-solving abilities. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. Strong understanding of object-oriented programming principles and concepts. Knowledge of t

About Us Our purpose at Avient Corporation is to be an innovator of materials solutions that help our customers succeed, while enabling a sustainable world. Innovation goes far beyond materials science; it s powered by the passion, creativity, and diverse expertise of 9,000 professionals worldwide. Whether you re a finance wizard, a tech enthusiast, an operational powerhouse, an HR changemaker, or a trailblazer in materials development, you ll find your place at Avient. Join our global team and help shape the future with sustainable solutions that transform possibilities into realities. Your unique perspective could be the key to our next breakthrough! Job Summary The Governance, Risk, Compliance (GRC) and Programs Manager at Avient is responsible for leading a global team monitoring cyber regulations and ensuring compliance. This role involves creating and implementing a comprehensive training and awareness program to educate all users on IT best practices, information classification, and handling requirements. Additionally, the manager will oversee the execution of the cyber transformation portfolio, ensuring timely and high-quality delivery. Essential Functions Establish, implement and lead a comprehensive risk management program aligned with applicable regulations and industry best practices Author policies and standards defining the requirements for procedures that meet cyber and business requirements Drive and demonstrate cyber maturity as measured by the NIST Cybersecurity Framework Engage with internal and external stakeholders to address cybersecurity risk management needs and expectations Assess and recommend solutions to third party and supply chain risks Lead the cyber resilience program Lead the security awareness and training program. Design engaging content for general users, specialized use cases and specific training needs for technical staff and developers Identify and leverage internal communications channels to cultivate a risk-aware, ethical, and continually improving culture Provide program oversight to ensure risks are managed across the cyber transformation portfolio Other leadership duties as assigned Education and Experience Qualifications Bachelor s degree in computer science, information systems or related field or experience 10+ years progressive experience in compliance and technology leadership roles Substantial experience leading large, complex projects Additional Qualifications CISA, CISM, CISSP and GRC certifications preferred Project Management certification Manufacturing and Operational Technology (OT) experience

Close Analytics Engineer Job Description We are looking for a skilled and motivated Analytics Engineer to join our Data & Analytics team. This role focuses on building robust backend solutions that enable effective reporting and process mining solutions. The ideal candidate will have strong expertise in SQL development, Python, data modelling, and experience working with Celonis software. You will play a critical role in transforming raw data into well-structured datasets, pipelines, and models that empower data-driven decision-making across the organization. Design, develop, and maintain scalable backend data pipelines to support Celonis and Power BI reporting. Build and optimize SQL queries , stored procedures, and views for efficient ETL processes. Develop data transformation scripts and automation tools using Python . Manage data ingestion and transformation processes in Celonis , ensuring optimal data model performance. Collaborate with business stakeholders and BI developers to gather reporting requirements and develop reliable data models. Monitor data pipeline performance and resolve data quality issues to ensure accuracy and consistency. Maintain comprehensive documentation of data processes, logic, and architecture. Work closely with cross-functional teams including data scientists, analysts, and business units. Stay updated with industry trends and best practices in data engineering , process mining , and BI reporting . Job Specification Bachelor s degree in Computer Science , Information Systems , Engineering , or related field. Minimum 3+ years of experience in data engineering, backend development, or analytics engineering. Proficiency in SQL and experience working with complex data structures and large datasets. Familiarity with Python or other scripting languages for data processing. Hands-on experience with Celonis (backend/data model development, data ingestion, transformations). Strong understanding of ETL processes , data modeling , and data warehousing . Knowledge of Power BI architecture and data integration best practices. Excellent problem-solving , attention to detail , and collaboration skills . Ability to work independently and in a team environment . Preferred Qualifications: Experience with cloud data platforms (e.g., Azure , AWS , GCP ). Understanding of business processes and process mining concepts . Experience with version control systems (e.g., Git ).

About the Role Kaleris is a private equity-backed software firm focused on supply chain optimization, headquartered in Atlanta, Georgia. We are a global leader in the supply chain execution market, focused on accelerating the transformation of digital supply chain for industrial and finished goods shippers and carriers by combining best-in-class solutions for challenges tied to yard management, shipment visibility, and asset management, across rail, truck, and multi-mode transportation. Kaleris is seeking a Software Engineer join our talented team in building the next generation of our products at Kaleris . In this position you will have an opportunity to make major contributions to our next generation transportation and logistics software products and application features. Youll collaborate closely with colleagues to outline project requisites and build state-of-the-art software and applications. Demonstrating a rapid learning ability and possessing strong communication skills is essential. Responsibilities Analyze functional requirements, design and develop software programs to specifications Provide technical support for both new and existing product features Design & maintain user interfaces, algorithms, data structures, test cases, and test suites for new/old functional modules of Kaleris products Communicate status of ongoing development efforts to supervisors in India & USA Requirements Bachelor s degree or higher, preferably in Engineering or Computer Science Excellent Object-Oriented programming skills and accomplished performance technologies Highly proficient in debugging preferably using Visual Studio & Code Warrior IDEs Capable of identifying and automating unit/functional tests using any standard or proprietary tool Strong analytical abilities and debugging/troubleshooting skills Proficient in both verbal and written communication abilities Source code control systems such as SVN, CVS, VSS or equivalent a plus Exposure to logistics , container terminals/management is highly preferred Experience or knowledge of real time graphical application development is a great addition Occasional international travel to visit customers and other offices might be necessary The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned from time to time or the scope of the position may change necessary to business demands. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Fonada is looking for Full Stack Developer to join our dynamic team and embark on a rewarding career journey. Developing front end website architecture. Designing user interactions on web pages. Developing back-end website applications. Ensuring responsiveness of applications. Working alongside graphic designers for web design features. Seeing through a project from conception to finished product. Designing and developing APIs. Meeting both technical and consumer needs.

Department Overview The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers expectations. In this role, you will fit in the AI & Architecture team within D&T. Job Description We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Responsibilities include: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred Qualifications Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Basic Requirements Bachelors degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role Travel Requirements None Relocation Provided None Position Type Experienced

Description & Requirements Role Overview Join our team as a Senior Specialist focused on analyzing Salesforce data, delivering actionable insights, and creating reports and dashboards that drive strategic business decisions. This role supports sales and operations through expert data management and cross-functional collaboration. A Day in the Life Typically Includes: Analyse Salesforce data to identify trends and inform business strategies Maintain data accuracy and integrity within Salesforce Collaborate with teams to gather and refine data requirements Develop, update, and distribute dashboards and reports Implement best practices for data management and reporting Monitor industry trends to enhance data analytics capabilities Present insights to stakeholders in clear, actionable formats Basic Qualifications: Bachelor s degree in Data Science, Computer Science, Information Systems, or related field Proven experience with Salesforce data reporting and analysis Proficiency with Salesforce and related sales tools such as Sales Navigator and ZoomInfo Strong analytical, problem-solving, and detail-oriented skills Advanced Excel skills and data visualization proficiency Effective communication skills for technical and non-technical audiences Ability to work both independently and in collaborative, fast-paced environments Preferred Qualifications: Advanced Salesforce knowledge and best practices Experience with ETL processes and data integration Familiarity with SAQL or similar query languages Experience with BI tools like Domo, Power BI, or CRM Analytics Understanding of sales processes and workflows

Description: ACCOUNTABILITIES Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis. Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources. Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software. Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions. Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business s operational and analytics databases. Proactively analyzes and evaluates the business s databases in order to identify and recommend improvements and optimization. RESPONSIBILITIES Uses knowledge of existing and emerging data science engineering principles, theories, and techniques to inform business decisions; and produce accurate business insights. Completes projects and assignments of moderate scope and complexity under normal supervision to ensure customer and business needs are met. Applies discretion and independent judgement to interpret data trends and summarize data insights. Assists in the preliminary data exploration, data preparation for accurate model development. Establishes working relationships with others outside area of Data Science Engineering expertise. Prepares presentations of project outputs for external customers with assistance. Description Comments Additional Details Description Comments : Please include shift hours, detailed job specifications or other information that may be helpful in sourcing candidates for this role.Build the analytics foundation for eSupport applications Develop and maintain data models to support various business initiatives. Create predictive and prescriptive models to identify trends, opportunities, and potential risks. Ensure data accuracy, consistency, and completeness. Collaborate with data engineers to improve data quality and maintain data integrity. Work closely with cross-functional teams, including business stakeholders, to understand their data needs and translate them into actionable analytics projects. Maintain documentation for data analysis processes and findings. Ensure that insights are well-documented for reference. Stay updated with industry trends and best practices in data analysis and visualization. Seek opportunities to improve processes, tools, and methodologies. Bachelor s Degree in Computer Science, Engineering, IT, or equivalent professional experience 2-4 years of related experience Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Ability to work independently and collaborate effectively in a team environment. Proficiency in Relational SQL or equivalent databases. Experience in object-oriented/object function scripting languages: Python, C#, Nodejs, etc. Developing, optimizing, and deploying ETL packages for complex data integration tasks. Proficiency in ETL tools such as (SSIS packages) is required.Desirable Requirements Understanding of machine learning concepts and the ability to apply machine learning techniques to data analysis tasks. Experience with data visualization tools (e.g., Power BI) and techniques. Experience in Python, SQL & NoSQL databases like MongoDB Not to Exceed Rate : (No Value)

Description & Requirements Summary : Support Infor s global sales strategy by managing key sales tech tools, driving AI innovation like Copilot, enabling content governance, and reporting performance. Help scale best practices and boost productivity across sales and marketing teams. A Day in the Life Typically Includes: Support the day-to-day use of sales tools like Outreach, SharePoint, Salesforce, Clari and ZoomInfo Help drive AI adoption by supporting tools like Microsoft Copilot for sellers Track tool usage and assist in preparing reports and dashboards Organize and manage content libraries for easy access to sales materials Collaborate with cross-functional teams to support enablement and training efforts Contribute ideas to improve team workflows, automation, and best practices Assist in planning and executing independent projects related to sales technology and process improvement Basic Qualifications: 0-2 years of experience in sales operations or a related business support role Strong communication skills and ability to work well in a team Eagerness to learn new tools, take ownership, and solve problems Attention to detail and a proactive approach to completing tasks Comfortable working in a fast-paced environment with multiple stakeholders Bachelor s degree in English, technical communication, journalism, business, computer science, or a related field. Preferred Qualifications: Familiarity with sales tools such as Outreach, Salesforce, ZoomInfo, Clari, and others. Exposure to AI productivity tools like Microsoft Copilot is a plus Bonus points for Excel knowledge (e.g., pivot tables, VLOOKUP, data handling) Experience with content platforms like SharePoint Interest in automating manual processes or improving workflows Ability to work with teams across time zones and cultures

AWS Engineer We seek a highly skilled and experienced AWS Engineer to join our innovative cloud engineering team. The ideal candidate will have 8-15 years of experience building and customizing AWS services, with a strong focus on cloud-native solutions and serverless architectures. Key Responsibilities: - Design, implement, and maintain scalable, high-performance AWS infrastructures - Lead the development and optimization of cloud-native applications using AWS services - Architect and deploy serverless solutions using AWS Lambda and related services - Create and manage Amazon Lex chatbots, integrating them with other AWS services - Develop and maintain AWS CloudFormation templates and Terraform scripts for infrastructure as code - Implement secure and efficient networking solutions using VPC, VPN, and related services - Optimize cloud costs and performance using tools like CloudCheckr - Create insightful dashboards using Amazon QuickSight for data visualization and reporting - Mentor junior team members and contribute to best practices and architectural decisions Required Skills: AWS Platform Expertise: - Amazon Lex: Bot creation and customization - AWS Lambda: Serverless application development and integration - Amazon Connect: Cloud contact center setup, management, and integration - Core AWS Services: S3, EBS, Glacier, EFS, VPC, Route 53, EC2, RDS, IAM - AWS CloudFormation and Terraform for infrastructure as code - Networking: VPC, VPN, Security Groups, Network ACLs, Elastic Load Balancing - Containerization: Docker and Kubernetes experience - Scripting: Shell scripting, Node.js, and Python Other Technical Skills: - Experience with cloud optimization tools (e.g., CloudCheckr) - Proficiency in creating dashboards with Amazon QuickSight - Solid understanding of DevOps practices and CI/CD pipelines Soft Skills: - Excellent problem-solving and analytical skills - Strong communication and documentation abilities - Proven track record of designing scalable and cost-effective solutions - Ability to work collaboratively in a fast-paced environment - Leadership experience in guiding technical teams and projects Specific Expertise: - Creation and management of Amazon cloud contact centers - Extensive experience with AWS services deployment using CloudFormation and Terraform - Proficiency in Amazon Connect, including reporting and contact lens configuration - Expert-level knowledge in creating contact flows, routing profiles, queues, and modules using Connect APIs - Integration of Amazon Lex bots with other AWS services and external systems Certifications: - AWS Certified Solutions Architect - Professional (required) - AWS Certified DevOps Engineer - Professional (preferred) - AWS Certified Data Analytics - Specialty (preferred) Additional Requirements: - Bachelors degree in Computer Science, Information Technology, or related field - Minimum 8 years of experience in cloud engineering, with at least 5 years focused on AWS - Demonstrated history of successful large-scale AWS projects - Willingness to stay updated with the latest AWS services and best practices The ideal candidate will be a cloud enthusiast with a passion for serverless architecture and a drive to innovate. They will play a crucial role in shaping our cloud strategy and driving our organizations digital transformation initiatives. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive.

Description: ACCOUNTABILITIES: Designs, codes, tests, debugs and documents software according to Dell s systems quality standards, policies and procedures. Analyzes business needs and creates software solutions. Responsible for preparing design documentation. Prepares test data for unit, string and parallel testing. Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements. Works with business and development teams to clarify requirements to ensure testability. Drafts, revises, and maintains test plans, test cases, and automated test scripts. Executes test procedures according to software requirements specifications Logs defects and makes recommendations to address defects. Retests software corrections to ensure problems are resolved. Documents evolution of testing procedures for future replication. May conduct performance and scalability testing. RESPONSIBILITIES: Plans, conducts and leads assignments generally involving moderate, high budgets projects or more than one project. Manages user expectations regarding appropriate milestones and deadlines. Assists in training, work assignment and checking of less experienced developers. Serves as technical consultant to leaders in the IT organization and functional user groups. Subject matter expert in one or more technical programming specialties; employs expertise as a generalist of a specialist. Performs estimation efforts on complex projects and tracks progress. Works on the highest level of problems where analysis of situations or data requires an in-depth evaluation of various factors. Documents, evaluates and researches test results; documents evolution of testing scripts for future replication. Identifies, recommends and implements changes to enhance the effectiveness of quality assurance strategies. Enable Skills-Based Hiring No Description Comments Additional Details Description Comments : Role OverviewWe are seeking a skilled and motivated Java Developer with strong expertise in Spring Boot and a working knowledge of Adobe Experience Manager (AEM). The ideal candidate will have 6-8 years of experience in designing and developing scalable, secure, and maintainable enterprise applications. You will collaborate with cross-functional teams to deliver high-quality software solutions in an agile environment.Key Responsibilities Design, develop, and document robust business logic and content/data services using Java and Spring Boot. Ensure solutions are scalable, secure, and maintainable. Participate in Agile ceremonies including daily standups, backlog grooming, sprint planning, and retrospectives. Collaborate with business analysts, QA teams, and other developers to troubleshoot and resolve issues. Contribute to code reviews, technical documentation, and continuous improvement initiatives.Essential Requirements 5-7 years of hands-on experience in Java (J2EE), Spring Boot, and RESTful/SOAP web services. Strong understanding of microservices architecture and service-oriented design principles. Experience with web technologies such as Servlets, JSP, and deployment on Apache Tomcat. Solid knowledge of design patterns, application architecture, and system integration. Experience working on large-scale enterprise or global web applications. Bachelors degree in Computer Science, Engineering, or a related technical field (or equivalent experience).sDesirable Skills Working knowledge or hands-on experience with Adobe Experience Manager (AEM). Familiarity with CI/CD tools, Git, and containerization (Docker/Kubernetes). Exposure to cloud platforms (AWS, Azure, or GCP) is a plus. Experience with performance tuning and application monitoring tools. Not to Exceed Rate : (No Value)