Software Services Job Vacancies in Bangalore

Urgent opening for Field Service Technician in Electronic Device Company @ Bangalore.Experience - 1 to 3 YearSalary - 18,000 to 20,000 per monthQualification:Mandatory: ITI in Electronics/Mechanical/FitterEssential Skills:Installation, Troubleshooting, and Maintenance of Electronic/Electrical items.Desired Skills(Nice to have):Travel: Travel across Bangalore, Mangalore, Mysore, and Kerala (and occasionally ) as per client requirements.We are looking for a Field Service Technician to installs, maintains, and repairs device& systems at client sites.Role & Responsibilities:Install, modify, clean, and repair VTS Device.Diagnose technical issues and implement solutionsProvide technical support and training to customersEnsure compliance with safety standards and company protocolsDocument service activities and maintain recordsMaintain tools and equipmentBuild and maintain strong relationships with customersSkills and requirementsSkills: Knowledge of soldering, drilling machines, and wiring.ITI or Diploma in Electronics/Mechanical/Fitter/ElectricalMinimum 6 months of experience as Field Service Technician or relevant.Ability to work independently with limited supervisionAbility to transfer technical knowledge to less experienced engineersAbility to troubleshoot customer issues via telephone also.Requirements: Posting: KOCHI, Kerala, Resident Engineer Two-Wheeler MUST with a valid License Android Mobile Phone - MUST

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.

We are looking for a skilled **Migration Lead Engineer** to join our Infrastructure & Platform Engineering team. You will ensure the high availability, scalability, and reliability of our systems across cloud and containerized environments. You will collaborate with development and operations teams to automate deployments, monitor systems, and continuously improve platform performance.**Key Responsibilities:*** Lead cloud migration and platform initiatives on AWS.* Design, implement, and maintain scalable and reliable infrastructure.* Automate deployments and monitor system health.* Collaborate with DevOps and development teams to optimize CI/CD pipelines.* Troubleshoot incidents and ensure high uptime of critical systems.**Required Skills & Qualifications:*** Strong **Python** skills for scripting, automation, and tooling.* Hands-on experience with **AWS services** and **CloudFormation templates** for IaC.* Proficiency with **OpenShift or Kubernetes** for container orchestration.* Experience with **monitoring tools** like Dynatrace and AWS CloudWatch.* Understanding of **networking, Linux systems, and cloud-native architecture**.* Familiarity with CI/CD tools (Jenkins, GitLab CI, ArgoCD).* Knowledge of configuration management tools (Ansible/Terraform is a plus).* Strong troubleshooting and incident management capabilities.**Preferred Qualifications:*** Experience with **AWS Well-Architected Framework** and **cost optimization**.* Familiarity with **Prometheus, Grafana, or ELK Stack**.* Relevant certifications: AWS Certified SysOps Administrator / DevOps Engineer / Red Hat Certified Specialist in OpenShift.* Experience with **microservices architecture** and **DevSecOps practices**.**Soft Skills:*** Excellent communication and collaboration skills.* Analytical mindset with high attention to detail.* Strong ownership and accountability for uptime and system performance.

We are looking for 10 Software Quality Engineer Posts in Bangalore, with deep knowledge in Software Services and Required Educational Qualification is : Higher Secondary

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.