Agile Job Vacancies in Bangalore

We are seeking a motivated Software Developer to join our team in Bangalore. This is an exciting opportunity for female fresh graduates who are eager to start their careers in software development and contribute to innovative projects.Key Responsibilities:- **Develop Software Applications**: Use programming languages to build applications that meet user needs and improve functionality. You will work on coding, testing, and debugging software.- **Collaborate with Team Members**: Work closely with other developers, designers, and project managers to understand project requirements and ensure that software solutions meet specifications.- **Participate in Code Reviews**: Engage in discussions about coding best practices and receive feedback on your work. This will help you improve your coding skills and contribute to a higher quality of code.- **Maintain Existing Software**: Assist in troubleshooting and resolving issues in current applications. Regular updates and maintenance are essential for software performance.Required Skills and Expectations:Candidates should hold a graduate degree in Computer Science or a related field. A basic understanding of programming languages like Java, Python, or C++ is essential. Strong problem-solving skills and a willingness to learn new technologies are also important. The ideal candidate will be detail-oriented, enthusiastic about technology, and able to work effectively both independently and in a team environment. Flexibility and adaptability to changing project requirements will be key to your success in this role.

Job PurposeThe Senior Software Developer (Golang) is responsible for designing, developing, and maintaining scalable, high-performance system. The role focuses on development using Golang while adhering to modern software engineering practices, security standards, and Agile methodologies.Key ResponsibilitiesDesign, develop, and maintain using GolangDevelop robust, scalable, and high-performance backend servicesApply Go best practices including goroutines, channels, templating, and code generationWork with Go frameworks, routers, and dependency management toolsPerform unit testing and TDD in an Agile/Scrum environmentEnsure software quality through code reviews, linting, and static code analysisOptimize performance using profiling and monitoring toolsCollaborate with cross-functional teams including product, testing, and operationsContribute to system design using established design principles and patternsParticipate in troubleshooting, root cause analysis, and production support when requiredRequired QualificationsBachelors or Masters degree in: oComputer ScienceoInformation TechnologyoElectronics & CommunicationoMCAExperience5+ years of hands-on experience Technical SkillsPrimary SkillsGolang programming (advanced proficiency)Linux and Windows operating systems (advanced knowledge) . Better understanding of Golang EcosystemSoftware Engineering PracticesObject-Oriented ProgrammingSecure coding and SCA toolsUnit testing and TDDAgile/Scrum methodologies

Role OverviewYes Services is seeking a certified Scrum Master to lead Agile teams in delivering high-quality software solutions. The Scrum Master will facilitate Agile ceremonies, remove impediments, ensure adherence to Scrum principles, and foster a culture of continuous improvement. Key ResponsibilitiesFacilitate Scrum ceremonies: Sprint Planning, Daily Stand-ups, Sprint Review, and RetrospectivesCoach team members on Agile/Scrum best practicesRemove blockers and resolve team impedimentsCollaborate with Product Owners to manage and refine the product backlogTrack sprint progress using Agile tools (e.g., Jira, Azure DevOps)Ensure transparency through metrics like velocity, burndown charts, and sprint reportsDrive continuous improvement and Agile maturity within teamsSupport release planning and stakeholder communicationPromote a self-organizing and cross-functional team cultureRequired Skills & QualificationsBachelors degree in Computer Science, Engineering, or related field5+ years of IT experience with 24 years as a Scrum MasterCertified Scrum Master (CSM / PSM / SAFe preferred)Strong understanding of Agile frameworks (Scrum, Kanban, SAFe)Experience with Agile tools such as Jira, Confluence, Azure DevOpsExcellent communication, facilitation, and conflict-resolution skillsAbility to work in distributed/global teams Preferred QualificationsExperience in scaled Agile environments (SAFe, LeSS)Knowledge of DevOps practicesBackground in software development or QAExperience working with enterprise clients

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.

Key Responsibilities Analyst Workflows: Design and development of company integrated content publishing platform using a proprietary 3rd party editorial and publishing platform for integrated digital publishing. Designing and Developing APIs: Design and development of robust, scalable, and secure APIs on AWS, considering factors like performance, reliability, and cost-efficiency. AWS Service Integration: Integrate APIs with various AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, AWS Glue, and others, to build comprehensive and efficient solutions. Performance Optimization: Identify and implement optimizations to improve performance, scalability, and efficiency, leveraging AWS services and tools. Security and Compliance: Ensure APIs are developed following best security practices, including authentication, authorization, encryption, and compliance with relevant standards and regulations. Monitoring and Logging: Implement monitoring and logging solutions for APIs using AWS CloudWatch, AWS X-Ray, or similar tools, to ensure availability, performance, and reliability. Continuous Integration and Deployment (CI/CD): Establish and maintain CI/CD pipelines for API development, automating testing, deployment, and monitoring processes on AWS. Documentation and Training: Create and maintain comprehensive documentation for internal and external users, and provide training and support to developers and stakeholders. Team Collaboration: Collaborate effectively with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality solutions that meet business requirements. Problem Solving: troubleshooting efforts, identifying root causes and implementing solutions to ensure system stability and performance. Stay Updated: Stay updated with the latest trends, tools, and technologies related to development on AWS, and continuously improve your skills and knowledge. Desired Skills and Experience Development: 5+ years of extensive experience in designing, developing, and deploying using modern technologies, with a focus on scalability, performance, and security. AWS Services: proficiency in using AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, Amazon SES, Amazon RDS, Amazon DynamoDB, and others, to build and deploy API solutions. Programming Languages: Proficiency in programming languages commonly used for development, such as Python, Node.js, or others, as well as experience with serverless frameworks like AWS. Architecture Design: Ability to design scalable and resilient API architectures using microservices, serverless, or other modern architectural patterns, considering factors like performance, reliability, and cost-efficiency. Security: Strong understanding of security principles and best practices, including authentication, authorization, encryption, and compliance with standards like OAuth, OpenID Connect, and AWS IAM. DevOps Practices: Familiarity with DevOps practices and tools, including CI/CD pipelines, infrastructure as code (IaC), and automated testing, to ensure efficient and reliable deployment on AWS. Problem-solving Skills: Excellent problem-solving skills, with the ability to troubleshoot complex issues, identify root causes, and implement effective solutions to ensure the stability and performance. Communication Skills: Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders, and collaborate with crossfunctional teams. Agile Methodologies: Experience working in Agile development environments, following practices like Scrum or Kanban, and ability to adapt to changing requirements and priorities. Continuous Learning: A commitment to continuous learning and staying updated with the latest trends, tools, and technologies related to development and AWS services. Bachelor's Degree: A bachelor's degree in Computer Science, Software Engineering, or a related field is often preferred, although equivalent experience and certifications can also be valuable.