AWS Job Vacancies in Bangalore

Manage multiple engineering projects and ensure successful delivery of products on time and within budget Lead a team of engineers and provide guidance on technical issuesCollaborate with other teams such as product, design, and customer support to ensure smoothproduct development and delivery Ensure coding standards, best practices, and security protocols are followed by the team Hire, train, and mentor engineers and support staff Evaluate and recommend new technologies and methodologies to improve the engineering process Build and maintain strong relationships with vendors and partners to ensure projects are completedsuccessfully Must have successfully delivered at least two projects end-to-end. Oversight of the full software development lifecycle required for a group of developers and testers inan agile environment. Leading staff to implement clients in the most efficient, time driven manner. The manager isresponsible for the total quality of the technical deliverables in their domain, making sure that theyare secure, defect-free. Mentoring technical staff during projects to ensure continuous improvement. Includes working witheach resource to define and act upon career paths and obtain appropriate training. Is responsible forthe hiring, training, staff development, performance appraisals, corrective action and pay review oftechnical personnel. Developing and establishing department standards and procedures. Recommends the most efficient ways to ensure best implementation practices of new upgradedproducts. Evaluates and reports progress and results.Skills and Qualifications Required: Must have hands-on experience in Java, Front end technologies like Bootstrap, jQuery, AWS, Modularsoftware development, multi-tenant architecture and highly scalable systems. Proficient with cloud technologies (AWS, Azure, Google Cloud). Must have a minimum of 8-10 years of experience demonstrating required skills and competencies inengineeringHave in-depth conceptual functional and non-functional knowledge of Docker Containers, KubernetesCluster management and orchestration, microservice architectures, DevOps practices and tooling. Previous leadership or management experience required Strong communication skills are a requirement, as this position must build consensus with numerousinternal and external resources and effectively influence the technical direction of projects in order tobe successful. Ability to determine the best implementation approach/methodology for assigned project(s) basedon established guidelines and best practices and determine appropriate strategy for ensuring desiredobjectives. Must be very flexible with learning new technology quickly

We are looking Any Degree Graduate for Devops Support Engineer with 1 to 3 years experience in Bangalore.Skills Set: Devops,AWS,Azure,SQL.Cloud Platforms: Working knowledge of GCP, AWS, or Azure.Tools:Expertise in Kubernetes, Docker, Jenkins, Ansible, Terraform, and monitoring tools like Dynatrace or Prometheus.OS & Networking: Proficient in Linux environment and troubleshooting networking protocols.immediate Joiner and Relocated in Bangalore preferred.

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.

Job Openings for 3 Full Stack Developer Jobs with minimum 4 Years Experience in Bangalore, having Educational qualification of : B.E, B.Tech with Good knowledge in AJAX, Core Java, CSS-Cascading Style Sheets, Mysql, Spring, CSS3, Advanced Java, Javascript, Nodejs, React Js, html5, AngularJS2, Typescript, AWS, Walk In etc.

Backend Development:Design, develop, and maintain RESTful APIs using Django, Flask, or FastAPI.Optimize database performance with PostgreSQL, MySQL, or MongoDB.Implement authentication and authorization mechanisms (JWT, OAuth, etc.).Write clean, scalable, and well-documented code following best practices.Develop and integrate third-party APIs and microservices.Frontend Development:Build responsive, high-performance user interfaces using Angular (latest versions).Implement UI/UX best practices with HTML, CSS, TypeScript, and SCSS.Develop reusable components and ensure cross-browser compatibility.Optimize application performance and improve frontend security.DevOps & Deployment:Deploy applications using Docker, Kubernetes, or AWS services (EC2, Lambda, S3, RDS, etc.).Implement CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI/CD.Ensure code quality with automated testing frameworks (PyTest, Jasmine, Karma).Collaboration & Leadership:Work closely with Product Managers, UX/UI Designers, and other Developers.Mentor junior developers and conduct code reviews.Participate in Agile/Scrum development cycles.Troubleshoot and resolve complex technical issues.

Required Skills & Experience: 5+ years of experience in front-end or full stack software development. Strong expertise in React.js, TypeScript, JavaScript, HTML5, CSS3, and responsive design. Knowledge on PostgreSQL, SQL, and backend service integration. Knowledge of Python, Java, and C++ Familiarity with AWS services, DevOps tools, and CI/CD practices. Experience working in Agile/Scrum teams, including planning and delivery processes. Comfort with Linux, basic IT operations, and systems administration tasks. Understanding of disaster recovery, security, and high-availability systems. Excellent communication, problem-solving, and technical leadership skills.Nice-to-Have: Familiarity with frontend testing frameworks like Jest, Cypress, or React Testing Library. Experience with GraphQL, WebSockets, or microservices architecture. Exposure to containerization (e.g., Docker, Kubernetes)Note:This is on 3rd party payroll of TalenTECH Solutions Pvt. Ltd. - the candidate can choose to work on an Employed or Consulting (Contract)/ of TalenTECH Solutions Pvt. Ltd.This is for 6-month term (Renewable)We are looking for immediate joiners (Max. 15 days notice period)This is Hybrid model working (3 days work from office of the client: CirrusLabs)Location preference is Bangalore.Typical Work Shift timings: EITHER 2 PM 11 PM OR 3 PM - 12 AM (1 side cab facility to drop is provided).Required QualificationBachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)

Key Responsibilities- Design, implement, and maintain DevOps technologies and processes, including analysis of current environments and selection of appropriate tools.- Develop and manage CI/CD pipelines for continuous integration, testing, and deployment across multiple applications.- Build automation solutions using Python and Shell scripting to streamline build, deployment, and operational tasks.- Implement infrastructure automation and configuration management using Ansible.- Integrate code quality, security, monitoring, and metrics tools into daily build and release pipelines.- Manage and support cloud-based production environments on AWS and/or Azure, including deployments and troubleshooting.- Work closely with development, QA, IT, and security teams to ensure adherence to DevOps standards and best practices.- Ensure compliance with defined organizational guidelines, processes, and delivery standards.- Coordinate activities of assigned team members and guide execution as per organizational objectives.________________________________________Required Skills & Experience- 4-6 years of overall IT/DevOps experience.- Strong hands-on experience in Python scripting and Python programming for automation, tooling, and integrations.- Solid understanding of DevOps principles and configuration management.- Proven experience in building CI/CD pipelines using Jenkins, Azure DevOps, and GitHub (YAML pipelines, vNext builds, scripted and freestyle Jenkins jobs).- Strong experience with Linux environments.- Hands-on experience with Cloud platforms (AWS and/or Azure), including managing production workloads.- Working experience with Kubernetes and container-based deployments.- Experience with Ansible for configuration management and infrastructure automation.- Hands-on administration of version control tools such as Git and Azure DevOps (ADO).- Experience with code quality and metrics tools such as SonarQube and TeamScale.- Strong experience in developing build workflows using Python, Shell, YAML, XAML, and TFS vNext.- Excellent analytical, debugging, and problem-solving skills.

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: Lead the design and development of org integrated content publishing platform using a proprietary 3rd. party editorial and publishing platform for integrated digital publishing. Designing and Developing APIs: Lead the design and development of robust, scalable, and secure APIs on AWS, considering factors like performance, reliability, and cost-efficiency. Architecture Planning: Collaborate with architects and stakeholders to define architecture, including API gateway, microservices, and serverless components, ensuring alignment with business goals and AWS best practices. Technical Leadership: Provide technical guidance and leadership to the development team, ensuring adherence to coding standards, best practices, and AWS guidelines. 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: Lead 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.