Job description Position: Manager / Sr. Manager Location: Mumbai Reports to: IT Head Qualifications: Bachelors/Masters Degree in Computer Science Experience: 5 - 8 years Job Summary: We are seeking a highly skilled and motivated Software Engineer to join our dynamic technology team. In this role, you will be responsible for analyzing user requirements, developing innovative, scalable, and fault-tolerant software solutions, and contributing to the end-to-end software development lifecycle. The ideal candidate is detail- oriented, passionate about technology, and capable of balancing technical depth with strategic vision. Key Responsibilities: Analyze and interpret user requirements to inform software design and functionality. Develop high-quality, scalable, and fault-tolerant backend solutions for clients and customers. Write, test, and refine code to ensure performance, compatibility, and stability across platforms. Create and maintain clear technical specifications and documentation. Verify, deploy, and maintain software programs and systems. Gather and evaluate user feedback for continuous improvement. Manage the software development lifecycle, including design, development, testing, and deployment. Communicate effectively with stakeholders, including management and technical support teams. Maintain an analytical mindset, capable of understanding both macro and Essential Knowledge & Expertise: Proficiency in backend programming languages: Python and/or Java. Experience with frameworks such as Django and .NET. Solid understanding of front-end technologies: HTML, CSS, JavaScript. Strong experience with AWS DevOps including hands-on infrastructure management (EC2, Load Balancers, RDS, Athena). Familiarity with version control tools: GIT or SVN. Proficient in working with relational databases, preferably PostgreSQL. Hands-on experience in building responsive interfaces with Bootstrap and in utilizing Web Services (REST/SOAP). Ability to work independently with strong time management and multi-tasking skills. Quick adaptability to new languages, technologies, and methodologies. Knowledge of Power Market Trading and Congestion Management is highly desirable. Strong business acumen and understanding of client-oriented development. Flexibility to shift priorities in response to project demands. Exceptional attention to detail and commitment to delivering quality outcomes. Core Competencies: Analytical Thinking Strong problem-solving skills with the ability to assess complex systems and develop effective solutions. Technical Proficiency Deep understanding of backend development, Communication Excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders. Collaboration Proven ability to work effectively in cross-functional teams and Adaptability Comfortable with shifting priorities and learning new tools and technologies on the go. Customer Focus Dedicated to meeting the expectations and requirements of Attention to Detail Thorough in completing tasks with minimal oversight and a high level of accuracy. Project Ownership Takes responsibility for projects from conception to Strategic Thinking Ability to align technical solutions with business goals and customer needs. Initiative Self-motivated with a strong sense of ownership and drive for Role: Head - Engineering Industry Type: Investment Banking / Venture Capital / Private Equity Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills System architectureSoftware designFront endInfrastructure managementPostgresqlJavascriptAgileHTMLTechnical supportPython

Job description Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude Mandatory Key Skills Amazon Bedrock,RAG Models,Java,Python,C++,AWS Lambda,RAG model,Anthropic, OpenAI,Hugging Face,TensorFlow,PyTorch,Jupyter,Amazon SageMaker, DevOps tools, Prompt Engineering* Role: Search Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Prompt Engineering AWS LambdaJavaDevOpsC++PyTorchRAG ModelsJupyterAmazon SageMakerTensorFlowPython

Job description AI/ML Lead, Ahmed Embassy, 7 - 10 years, Bengaluru, Karnataka, India - On-site - ACHNET Are you sure you want to cancel? Are you sure you want to cancel this Profile? You can always come back later Go Back Yes, Cancel Edit Profile The first thing people see Adjustable in settings Access Denied You do not have permission to access the Talent Management menu. This section is restricted to Admins and Editors only. If you believe you should have access, please contact your administrator for assistance. Close YOUR BROWSER IS NOT SUPPORTED To view this experience, please upgade to the latest one of these browsers Ai/Ml Lead to apply! DESCRIPTION AI/ML Lead Location: Bengaluru, Karnataka, India - On-site Hiring Company Name: Ahmed Embassy Hiring Company Location: Bengaluru, Karnataka, India Job Type: Full-time Experience Level: Senior (7-10 years) Job Overview: Ahmed Embassy is seeking a highly skilled and experienced AI/ML Lead to spearhead the development and implementation of cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will have a strong background in AI/ML, a proven track record of leading successful projects, and the ability to mentor and guide a team of engineers and data scientists. This role requires a blend of technical expertise, leadership capabilities, and a strategic mindset to drive innovation and contribute to the companys overall objectives. Key Responsibilities: Lead the design, development, and deployment of AI/ML models and solutions. Oversee the entire lifecycle of AI/ML projects, from conception and data gathering to model training, evaluation, and deployment. Provide technical guidance and mentorship to the AI/ML team, fostering a collaborative and innovative environment. Stay up-to-date with the latest advancements in AI/ML technologies and identify opportunities for their application. Collaborate with cross-functional teams, including product management, engineering, and business stakeholders. Ensure the quality, performance, and scalability of AI/ML solutions. Manage project timelines, resources, and budgets effectively. Educational Qualifications: Masters or Doctoral degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Must-Have Skills: Strong proficiency in programming languages such as Python, R, or Java. Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of machine learning algorithms, techniques, and best practices. Experience with data preprocessing, feature engineering, and model evaluation. Excellent communication, leadership, and problem-solving skills. Good-to-Have Skills: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with big data technologies (e.g., Hadoop, Spark). Experience in natural language processing (NLP) or computer vision. Experience with DevOps practices and model deployment. Role: Technical Lead Industry Type: E-Learning / EdTech Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate, CA in CA Key Skills Product managementComputer scienceSANCloud computingComputer visionArtificial IntelligenceMachine learningNatural language processingTalent managementPython

Job description Job Title: Azure DevOps Engineer Experience: 4 to 9 Years Location: Mumbai / Pune / Bangalore Company: Capgemini Technology Services India Ltd. Job Description: We are looking for a skilled and motivated Azure DevOps Engineer to join our dynamic team at Capgemini. The ideal candidate will have hands-on experience with Azure DevOps services and a strong background in CI/CD, automation, and cloud infrastructure. Key Responsibilities: Design, implement, and manage CI/CD pipelines using Azure Pipelines. Manage source code repositories using Azure Repos, Git, or GitHub. Develop and maintain Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep. Automate operational tasks using PowerShell, Bash, or Python. Build, deploy, and manage containerized applications using Docker and Kubernetes. Work with various Azure Cloud Services such as App Services, Functions, Virtual Machines, and Storage. Implement monitoring and alerting solutions using Azure Monitor and Application Insights. Ensure security best practices including RBAC, security scanning, and compliance in DevOps workflows. Collaborate with development and operations teams in an Agile environment to support the full software development lifecycle (SDLC). Required Skills: Strong hands-on experience with Azure DevOps Services (Pipelines, Repos, Artifacts). Proficiency in CI/CD pipeline design and implementation. Experience with IaC tools like Terraform, ARM Templates, or Bicep. Solid understanding of version control systems (Git, GitHub, Azure Repos). Scripting expertise in PowerShell, Bash, or Python. Experience with Docker and Kubernetes for containerization and orchestration. Familiarity with Azure services and cloud-native architectures. Knowledge of Agile methodologies and DevOps practices. Experience with monitoring tools and security practices in Azure environments. Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Ci/CdAzure DevopsAzure Kubernetes Service

Job description This is a key position supporting client organization with strong Analytics and data science capabilities. There is significant revenue and future opportunities associated with this role. Job Description: Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process. Create and manage data visualizations using Tableau/Power BI. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights. Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions. Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests. Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results. Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices. Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable. Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets. Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders. Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency. Requirements: 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment. Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation. Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This

Job description This is a key position supporting client organization with strong Analytics and data science capabilities. There is significant revenue and future opportunities associated with this role. Job Description: Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process. Create and manage data visualizations using Tableau/Power BI. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights. Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions. Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests. Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results. Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices. Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable. Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets. Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders. Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency. Requirements: 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment. Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation. Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This

Job description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The Instrumentation and Metrics (I&M) team , which reports into the Office of the CFO and aligned to J.P. Morgan Payments, is seeking a talented, ambitious, and creative individual to focus on designing and delivering new, internal business intelligence dashboards and similar data solutions for Payments business management, product and front-office teams. I&M is committed to making accessible various firmwide and external data assets to deliver timely, relevant and automated insights that inform business decisions and strategy. The I&M Business Intelligence Product Associate role will serve as a data solutions product owner, to help define and execute against product roadmaps for several proprietary solutions that are currently utilized by the Payments businesses to help drive business insights, revenue and client relationship visibility. Job responsibilities Partnering with business stakeholders to understand requirements Developing good understanding of input and reference data sources and creating data transformation workflows Design dashboards that prioritize clarity and simplicity, ensuring essential information is easily accessible and unnecessary elements are removed, while maintaining consistency in design elements and establishing a clear visual hierarchy to guide users attention to key data points. Create responsive and user-centric designs that adapt to different devices and user preferences. Develop effective data visualization and interactivity to provide actionable insights through dashboards. Optimize dashboard performance to ensure fast and efficient user experiences. Conduct continuous testing and iteration processes to improve dashboards based on user feedback. Apply dashboard design principles to drive enhancements in UI/UX. Implement iterative design processes, including conducting A/B testing to refine and improve dashboard designs based on user feedback and data-driven insights. Designing high quality interactive dashboards using Tableau for business stakeholders including senior management. Effectively managing project related communication with management and key stakeholders Assisting stakeholders to perform rigorous UAT of solutions Required qualifications, capabilities and skills Bachelors degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field Required years of relevant work experience, preferably in Finance domain Advance knowledge of Tableau and Alteryx Basic knowledge of Python and SQL Excellent analytical and problem-solving skills. Ability to quickly learn the process and propose and implement solution to make the process efficient Ability to work in a Team and follow common standards and good practices Excellent written and verbal communication skills Strong relationship building skills to develop partnerships to deliver results Role: Business Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceFront officeAnalyticalRelationship buildingInstrumentationBusiness intelligenceInformation technologyAnalyticsSQLPython

Job description Job Description At PayPay, were constantly working on improving our systems and processes to support PayPay’s exponential growth. As an SRE at PayPay, we strive towards ensuring high availability and top-level performance so that our users can have flawless and reliable service exceeding expectations. Considering PayPay’s growth, we are looking for experienced SREs who can deliver insights into system bottlenecks and ensure system reliability and scalability, while increasing the number of services that our company offers. We are looking for individuals who can bring informed and unique viewpoints, enjoy collaborating with a cross-functional team and are actively pushing boundaries to develop reliable and scalable solutions and positive user experiences. Main Responsibilities Analyse current technologies used in the company and develop monitoring and notification tools to improve observability and visibility. Ensure system stability by pre-emptively verifying failure scenarios and implement solutions to reduce MTTR Develop solutions to improve system performance with a focus on high availability, scalability and resilience Integrate telemetry and alerting platforms to track and improve reliability of systems Implement industry best practices for system development, configuration management and system deployment Ensure seamless flow of information between teams by documenting knowledge gained Be up to date on modern technologies and trends to advocate for inclusion within products if they add value Participate in incident management including troubleshooting production issues, driving root cause analysis (RCA) and actively sharing lessons learned to improve system reliability and internal knowledge. Required Skills and Experiences Experience troubleshooting, tuning high performance microservices architectures running on Kubernetes and AWS in highly available production environments. 5+ years experience in software development in Python, Java, Go, etc with strong fundamentals in data structures, algorithms, problem solving and complexity analysis. During the SRE selection process, you will have a coding challenge. Curious and proactive in finding performance bottlenecks, scalability and resilience problem areas and addressing them. Experience with observability tools and gathering data. Database knowledge such as RDS, NoSQL, distributed TiDB, etc. Excellent communication skills, collaborative and getting things done attitude. Enjoy taking up a challenge and driving it to conclusion. Preferred Qualifications Container image management and optimization. Experience in large distributed system architecture and capacity planning. Understanding of IaC, automation tools, terraform, cloud formation, etc. Background in SRE/DevOps concepts and implementation. Experience in managing monitoring tools like CloudWatch, VictoriaMetrics, Prometheus and reporting with Snowflake and Sigma. In depth knowledge of web technologies such as CloudFront, Nginx, etc. Experience in designing, implementing or maintaining disaster recovery strategies and multi-region architecture to ensure high availability, resilience, and business continuity across critical systems. Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills). Remarks Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate. PayPay 5 senses Please refer PayPay 5 senses to learn what we value at work. Working Conditions Employment Status Full Time Office Location Gurugram (Wework) The development center requires you to work in the Gurugram office to establish the strong core team. Role: Site Reliability Engineer Industry Type: FinTech / Payments Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Microservice Based Architecture JavaSoftware Development CycleTerraformDatabase Design

Job description Role Overview: As a Data Scientist, you will lead the development of advanced analytics and Generative AI (GenAI) solutions that deliver measurable impact for clients. You will combine deep technical knowledge in machine learning and GenAI with solid software engineering practices to build scalable, robust tools and applications. Responsibilities: Design, build, and deploy advanced analytics and GenAI solutions, including custom agents and LLM-integrated applications. Lead the development of modular, maintainable, and production-ready codebases using best practices in software engineering (e.g., version control, testing, CI/CD). Build interactive apps and dashboards using frameworks like Streamlit, enabling seamless business interaction with AI tools. Develop APIs and microservices to integrate GenAI tools with client systems or platforms. Identify and mitigate risks associated with GenAI (e.g., hallucination, bias, privacy, regulatory concerns), and implement robust logging, monitoring, and evaluation mechanisms. Translate complex analytical and AI concepts into clear recommendations for business and technical stakeholders. Coach and mentor junior data scientists, ensuring high-quality code and technical growth across the team. Collaborate with data engineers, DevOps, and product managers to ensure end-to-end solution delivery. Qualifications: 5+ years of experience in data science, with strong experience delivering ML or GenAI models and applications in production. Proficiency in Python with strong command of relevant libraries (e.g., pandas, scikit-learn, PyTorch, LangChain, FastAPI). Solid software engineering skills: experience with Git, testing frameworks (e.g., pytest), CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and packaging/distribution of code. Experience building modular architectures for GenAI applications and agents (e.g., using LangChain, OpenAI function calling, vector stores). Role: Full Stack Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills PytorchTensorflowGenerative Ai ToolsLangchainPython FastApi

Job description Position: Senior Architect / Engineer Experience: 7+ Years Location: Remote Work type: Contract Job Description: 7+ Years of Overall IT experience. 3+ Years of experience - Azure Architecture / Engineering (one or more of: Azure Functions, App Services, API Development) 3+ Years of experience - Development (ex. Python, C#, Go or other) 1+ CI/CD Experience (GitHub preferred) 1+ Years of API Development experience (Creating APIs and Consuming APIs) Nice to Have: - Service Bus - Terraform - ADF - Data Bricks - Spark - Scala Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Temporary/Contractual Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills C#Azure ArchitectureSenior EngineerAPI DevelopmentPython Senior ArchitectgithubAzure FunctionsApp ServicesCI/CD