274 S3 Jobs - Page 9

With a deep focus on TypeScript, they are developing both the frontend (React/Next.js) and backend (Node.js/NestJS) of the platform. In addition, they are also responsible for the cloud infrastructure, including the setup of CI/CD pipelines, deployment processes, and monitoring via AWS services. They bring a solution-oriented mindset, strong communication skills (English), and a high level of ownership and reliability to the teamcontributing across all areas of the product development lifecycle. Language TypeScript (Fullstack) Frontend React (Next.js) - Tailwind CSS or MUI Backend Node.js with Express or NestJS Mobile (optional) React Native (Expo) Cloud AWS (e.g. EC2, ECS, Fargate, Lambda, S3, RDS) DevOps Docker, GitHub Actions (CI/CD), Monitoring Database PostgreSQL, Redis, DynamoDB Soft-Skills - Clear and proactive communication across time zones - Critical thinking and solution-oriented mindset - High reliability and ownership delivering consistent results - Collaborative working style that fits seamlessly into our startup culture - Continuous learning mentality, keeping up with best practices They dont just write code they contribute to product thinking, help us move fast without breaking things, and are a core part of our extended team.

Experience: 10 Years Work Type: Onsite Budget: As per market standards Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps Clean Code Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus Web Servers Experience with Nginx / Apache configuration RAG Patterns / Vector DBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices

We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection.

Role: Lead Full Stack Engineer We seek a seasoned Lead Full-Stack Engineer with 7+ years of expertise in front-end and back-end technologies and strong leadership and soft skills. The ideal candidate should be proficient in Angular, NodeJS, and Python, with additional experience in AWS, GoLang, and AI integration. This role requires availability to work within the EST time zone and will involve leading the development of innovative enterprise platforms while mentoring a team of engineers. Key Responsibilities : - Technical Leadership : Lead web application design, development, and maintenance using Angular and NodeJS. - Architect and optimize backend services and APIs using Python and GoLang. - Guide the integration of AI-driven features and tools into existing platforms. - Oversee the use of AWS cloud services for application deployment, scaling, and maintenance. - Monitor and optimize application performance on AWS. - Stay updated with emerging technologies and implement them in the development process. Team Collaboration and Soft Skills : - Mentorship : Mentor and guide junior engineers, fostering a collaborative and learning-oriented environment. - Communication : Effectively communicate technical concepts to both technical and non-technical stakeholders. - Problem-Solving : Proactively identify and resolve bottlenecks, ensuring smooth project delivery. Skills in the spotlight : - Front-End : Mastery in Angular for building dynamic user interfaces. - Back-End : Expertise in NodeJS and Python for developing scalable microservices. - Cloud : Extensive hands-on experience with AWS services (EC2, S3, Lambda, etc.). - Programming Languages : Advanced skills in GoLang for backend services. - AI : Proven experience in integrating AI/ML models into web or mobile applications. - DevOps : Strong knowledge of CI/CD pipelines and version control using Git. - Agile Methodologies : Proficiency in leading projects within Agile/Scrum environments. Preferred Qualifications : - Knowledge of additional JavaScript frameworks and libraries. - Experience with database management systems like MongoDB, PostgreSQL, or MySQL. - Familiarity with Docker and Kubernetes for containerization. - Understanding of secure coding practices and data protection. Location : India

Location: India/Remote About the Job: We are seeking a seasoned Java Full Stack Enterprise Architect with 14 to 19 years of experience to lead and drive enterprise-level projects. The ideal candidate will have strong expertise in Java , AWS (Amazon Web Services) , Kafka , Docker , Kubernetes , and other cutting-edge technologies. This role requires experience in application transformation, modernization , and containerization initiatives. Prior experience in the healthcare industry is highly desirable. What you will do: Architectural Leadership Design and implement scalable, resilient, and secure full-stack solutions using Java and modern frameworks. Provide end-to-end architecture guidance for enterprise transformation and modernization projects. Define best practices for application design, development, deployment, and maintenance in a cloud-native environment. Cloud and AWS Solutioning Architect solutions leveraging AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB). Develop and maintain cloud migration strategies, ensuring high availability and cost optimization. Create detailed documentation, including solution designs and architectural diagrams. Containerization & Orchestration Lead the adoption of Docker and Kubernetes to containerize applications. Oversee the orchestration of microservices in distributed systems to ensure scalability and reliability. Define CI/CD pipelines to automate deployment processes. Data Streaming & Integration Design and implement event-driven architectures using Kafka. Ensure seamless integration across enterprise systems and data pipelines. Transformation & Modernization Drive legacy application modernization to microservices and cloud-native architecture. Assess current technology stack and recommend improvements to align with business goals. Team Collaboration Mentor engineering teams, fostering a culture of innovation and continuous improvement. Collaborate with cross-functional teams, including product managers, developers, and business stakeholders. Who you are: Education Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred). 14+ years of experience in Java Full Stack Architecture. Technical Skills: Core Expertise : Java, Spring Boot, RESTful APIs, and front-end technologies (e.g., Angular, React, or Vue.js). Cloud Technologies : Strong experience with AWS services , cloud-native application development, and deployment strategies. Containerization & Orchestration : Proficiency in Docker , Kubernetes , and Helm. Data Streaming : Advanced knowledge of Kafka , including architecture, implementation, and troubleshooting. Modernization : Hands-on experience with application transformation and legacy system modernization projects. Leadership : Proven ability to lead large teams, drive complex projects, and align technical deliverables with business objectives. Industry Knowledge : Prior experience in the healthcare industry is a plus but not mandatory. Preferred Qualifications Certifications: AWS Certified Solutions Architect or equivalent certifications. Experience with healthcare standards (e.g., HIPAA, HL7, FHIR) is a significant advantage. Strong understanding of DevOps practices and tools (e.g., Jenkins, GitHub Actions). Soft Skills Attention to detail. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership, interpersonal & problem-solving skills. English Language proficiency is required to effectively communicate in a professional environment. Excellent communication skills are a must. Strong problem-solving skills and a creative mindset to bring fresh ideas to the table. Should demonstrate confidence and self-assurance in their skills and expertise enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner. Should be accountable and responsible for deliverables and outcomes. Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results. Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions. Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.

We are looking for a highly skilled and experienced professional with 1 to 3 years of experience to join our team as a Staff in the Data & Analytics domain. The ideal candidate will have a strong background in data analytics, excellent communication skills, and the ability to work collaboratively with cross-functional teams. ### Roles and Responsibility Contribute to various technical streams of EI implementation projects. Provide product and design-level technical best practices. Interface and communicate with onsite coordinators. Complete assigned tasks on time and provide regular status reports to the lead. Support business development activities through leading pursuits and developing strong relationships with existing clients. Participate in case teams to provide solutions to unstructured problems. ### Job Requirements BE/BTech/MCA/MBA with adequate industry experience. Strong SQL skills and experience in writing Stored Procedures for data transformation. Experience in ETL/Data Integration using Informatica or any standard tool. Good understanding of DWH concepts, SQL, and AWS cloud exposure (S3/EMR/Lambda/Glue). Experience using Snowflake as a Data Integration Tool. Certification is a plus. Performance analysis and performance tuning skills in Snowflake. Experience using semi-structured data with Snowflake is preferred. Experience with Clone, Time travel, and other advanced features in Snowflake. Familiarity with Agile project delivery. Exposure to cloud technologies such as Azure, AWS is preferred.

Hiring Lead AWS Data Eng for Hyderabad/Chennai/Noida/Pune/Bangalore Location-Immediate to 15 days joiners Deep understanding of PII/PHI detection and privacy standards (HIPAA) Using AWS Glue, S3, Lake Formation, Kinesis, and DMS. nfrastructure with VPC segregation and IAM-based access. Monitoring with CloudWatch, X-Ray, and EventBridge. Expertise in RDS. Strong knowledge of containerized environments (ECS/EKS/VDS). Proficient in Python, PySpark, and infrastructure-as-code (CloudFormation or Terraform). Experience in lineage tracking, metadata cataloging, and cloud-native monitoring tools. Deep understanding of PII/PHI detection and privacy standards (HIPAA) is aplus

Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting The Role and Responsibilities We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building Advocating application of best practices in data engineering, code hygiene, and code reviews Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects Creating and maintaining documentation to support stakeholders and runbooks for operational excellence Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art data engineering techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or masters degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related) Exposure to building cloud ready applications Exposure to test-driven development and integration Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with ability to manage workload and meet deadlines in a fast-paced environment Collaborative team player Excellent verbal and written communication skills and command of English Willingness to travel Respect for confidentiality Technical Background Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

We are actively seeking an exceptionally motivated individual who thrives on continuous learning and embraces the dynamic environment of a high-velocity team. Joining the Content Productization & Delivery (CPD) organization at Thomson Reuters, you will play a pivotal role in ensuring the quality, reliability, and availability of critical systems. These systems provide a suite of infrastructure services supporting a common set of search and information retrieval capabilities necessary for Thomson Reuters's research-based applications and APIs across its core products. Your responsibilities will encompass delivering content via shared services that underpin all our Tax and Legal Research products. About the role: In this opportunity as a Senior Software Engineer, you will : Actively participates and collaborates in meetings, processes, agile ceremonies, and interaction with other technology groups. Works with Lead Engineers and Architects to develop high performing and scalable software solutions to meet requirement and design specifications. Provides technical guidance, mentoring, or coaching to software or systems engineering teams that are distributed across geographic locations. Proactively share knowledge and best practices on using new and emerging technologies across all the development and testing groups. Assists in identifying and correcting software performance bottlenecks. Provides regular progress and status updates to management. Provides technical support to operations or other development teams by assisting in troubleshooting, debugging, and solving critical issues in the production environment promptly to minimize user and revenue impact. Ability to interpret code and solve problems based on existing standards. Creates and maintains all required technical documentation / manual related to assigned components to ensure supportability. About You: You're a fit for the role of Senior Software Engineer, if your background includes: Bachelors or masters degree in computer science, engineering, information technology or equivalent experience 5+ years of professional software development experience 2+ years of experience with Java and REST based services 2+ years of Python experience Ability to debug and diagnose issues. Experience with version control (Git, GitHub) Experience working with various AWS technologies (DynamoDB, S3, EKS) Experience with Linux Infrastructure as Code, CICD Pipelines Excellent and creative problem-solving skills Strong written and oral communication skills Knowledge of Artificial Intelligence AWS Bedrock, Azure Open AI Large Language Models (LLMs) Prompt Engineering

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 7+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Build) Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail

The Core AI BI & Data Platforms Team has been established to create, operate and run the Enterprise AI, BI and Data that facilitate the time to market for reporting, analytics and data science teams to run experiments, train models and generate insights as well as evolve and run the CoCounsel application and its shared capability of CoCounsel AI Assistant. The Enterprise Data Platform aims to provide self service capabilities for fast and secure ingestion and consumption of data across TR. At Thomson Reuters, we are recruiting a team of motivated Cloud professionals to transform how we build, manage and leverage our data assets. The Data Platform team in Bangalore is seeking an experienced Software Engineer with a passion for engineering cloud-based data platform systems. Join our dynamic team as a Software Engineer and take a pivotal role in shaping the future of our Enterprise Data Platform. You will develop and implement data processing applications and frameworks on cloud-based infrastructure, ensuring the efficiency, scalability, and reliability of our systems. In this opportunity as the Software Engineer, you will: Develop data processing applications and frameworks on cloud-based infrastructure in partnership with Data Analysts and Architects with guidance from Lead Software Engineer. Innovate with new approaches to meet data management requirements. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and AWS frameworks, documentation, and usability by stakeholders. Contribute to improving the customer experience. Participate in code reviews to maintain a high-quality codebase Collaborate with cross-functional teams to define, design, and ship new features Work closely with product owners, designers, and other developers to understand requirements and deliver solutions. Effectively communicate and liaise across the data platform & management teams Stay updated on emerging trends and technologies in cloud computing About You You're a fit for the role of Software Engineer, if you meet all or most of these criteria: Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of relevant experience in Implementation of data lake and data management of data technologies for large scale organizations. Experience in building & maintaining data pipelines with excellent run-time characteristics such as low-latency, fault-tolerance and high availability. Proficient in Python programming language. Experience in AWS services and management, including Serverless, Container, Queueing and Monitoring services like Lambda, ECS, API Gateway, RDS, Dynamo DB, Glue, S3, IAM, Step Functions, CloudWatch, SQS, SNS. Good knowledge in Consuming and building APIs Business Intelligence tools like PowerBI Fluency in querying languages such as SQL Solid understanding in Software development practices such as version control via Git, CI/CD and Release management Agile development cadence Good critical thinking, communication, documentation, troubleshooting and collaborative skills.

Role description Tool Development: o Design, develop, and test tool prototypes to meet project specifications. o Write and maintain high-quality code in Python, CAPL, Java, and Typescript. o Implement and integrate frameworks and middleware such as Python Pandas, NumPy, React, JavaFX, Javascript frameworks (e.g., Vue), Vector CANoe, and Codemeter. Collaboration and Integration: o Work closely with team members to ensure seamless integration and functionality of tools. o Participate in code reviews and provide constructive feedback to peers. o Collaborate with other departments to understand their tool requirements and provide effective solutions. o Work within a small team of 3 members. o Collaborate with roles such as Tool Developer and Tool Tester. CI/CD and DevOps Practices: o Implement and maintain CI/CD pipelines using tools like GIT, HTTP, Jenkins, SVN, GitLab, Kubernetes, Docker, AWS, S3, and Artifactory. o Ensure the tools are integrated into the CI/CD pipeline for automated testing and deployment. o Monitor and optimize the performance of tools in the development and production environments. Project Management: o Assign tasks and responsibilities according to different V-Modell phases. o Track project progress and ensure timely delivery of tool prototypes. o Document development processes, tool functionalities, and user guides. Continuous Improvement: o Stay updated with the latest industry trends and technologies. o Continuously improve tools based on user feedback and technological advancements. o Participate in training and professional development to enhance skills and knowledge. Quality Assurance: o Conduct thorough testing of tools to ensure they meet quality standards. o Identify and fix bugs and issues in a timely manner. o Ensure tools are reliable, efficient, and user-friendly. Support and Maintenance: o Provide ongoing support and maintenance for developed tools. o Troubleshoot and resolve issues reported by users. o Update tools to accommodate new requirements and technologies. Programming Languages: Python: Extensive experience in writing and maintaining Python code, with a strong understanding of libraries such as Pandas and NumPy for data manipulation and analysis. CAPL: Proficient in using CAPL (CAN Access Programming Language) for developing and testing automotive communication protocols. Java: Solid experience in Java programming, including the use of JavaFX for building rich client applications. Typescript: Skilled in writing and maintaining Typescript code, with a good grasp of its features and benefits over JavaScript. Frameworks and Middleware: Python Pandas and NumPy: In-depth knowledge of these libraries for data analysis and manipulation. React: Experience in building user interfaces using React, with an understanding of its component-based architecture. JavaFX: Proficient in using JavaFX for creating desktop applications with rich graphical interfaces. Javascript Frameworks (e.g., Vue): Familiarity with various JavaScript frameworks, particularly Vue, for building interactive web applications. Vector CANoe: Experience with Vector CANoe for simulation, testing, and analysis of automotive networks. Codemeter: Knowledge of Codemeter for software license management and protection. Infrastructure (CI/CD, DevOps): GIT: Proficient in using GIT for version control, including branching, merging, and resolving conflicts. HTTP: Understanding of HTTP protocols and their application in web development and API integration.

Roles and Responsibilities: Study existing technology landscape and understand current application workloads Understand and document technical requirements from clients Write high code on Terrafrom to set up the environment. Define Migration strategy to move application to cloud Develop architecture blueprints and detailed documentation. Create bill of materials, including required Cloud Services (such as EC2, S3 etc.) and tools; Design the overall Virtual Private Cloud VPC environment including server instance, storage instances, subnets, availability zones, etc Design the AWS network architecture including VPN connectivity between regions and subnets Design the HA / DR strategies Set up process, services and tools around cloud Build the environment Execute migration plan Leverage appropriate AWS services Maintain and manage microservice deployment on Kubernetes using Helm Charts. Validate the environment to meets all security and compliance controls Preferred candidate profile

8+ yrs of exp in S/W dev with a focus on AWS solutions , architecture. Exp in architecture applications using EKS. AWS certifications - AWS Certified Solutions Architect Design, develop, and implement microservices-based AWS using Java

Job Description: 1. Candidate should have good experience in all the functionalities of Dataiku 2. Should have previous exposure handling large data sets using Dataiku and preparing and calculating data. 3. Should be able to write queries to extract and connect from RDBSM/Data lake and any other manual datasets 4. Most importantly, should be able to understand existing developments and take over with minimal handover. 5. Must be expert in Excel as well given all of the information produced in mostly furnished in excel at the right level of detail to the stakeholders for validation and discussions 6. Must have a eye for accuracy ensuring the flows are robust. 7. Banking process knowledge is a good to have Note: Kindly go through the JD and apply accordingly, its for PAN India Hiring

Hi, We are hiring for Java Developer with one of the Leading MNC for Hyderabad, Bangalore & Mumbai Location. Experience - 6 Years - 12 Years Location - Bangalore , Hyderabad , Chennai CTC - As per company norms Please find below the Job Description: Mandatory Skills - Java, Spring-boot, Microservices, AWS. Kubernetes - Good to have.. Description : Expertise in development using Core Java, J2EE, Spring Boot, Microservices, and Web Services SOA experience SOAP as well as Restful with JSON formats, with Messaging Kafka. Working proficiency in enterprise developmental toolsets like Jenkins, Git/Bitbucket, Sonar, Black Duck, Splunk, Apigee, etc. Experience in AWS cloud monitoring tools like Datadog, Cloudwatch, and Lambda is needed. Experience with XACML authorization policies. Experience in NoSQL and SQL databases such as Cassandra, Aurora, and Oracle. Good understanding of React JS, Photon framework, Design, Kubernetes Working with GIT/Bitbucket, Maven, Gradle, and Jenkins tools to build and deploy code deployment to production environments. Primary Location: IN-KA-Bangalore Schedule: Full Time Shift: Experienced Employee Status: Individual Contributor Job Type: Full-time Kindly fill in the below-mentioned details to proceed ahead with your profile Total Experience - Relevant in Java - Exp in Multithreading - Exp in Microservices - Exp in Spring Boot - Exp in Kafka - Exp in AWS - Exp in Kubernetes - Current Designation - Current Organization - Current Location - Current CTC + Variable - Any Offer in hand - Expected CTC + Variable - Notice Period / LWD - Reason for Relocation to Bangalore - If interested Kindly share your resume at nupur.tyagi@mounttalent.com

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance practices. - Optimize Spark jobs for cost and performance efficiency. - Automate ETL workflows with AWS Step Functions and Lambda. - Collaborate with data scientists and analysts on data needs. - Maintain documentation for data architecture and pipelines. - Experience with Open source bigdata file formats such as Iceberg or delta or Hundi - Desirable to have experience in terraforming AWS data analytical resources. Must-Have Skills: - AWS (S3, Glue, EMR Lambda, EMR), PySpark or Scala, SQL, ETL development. Good-to-Have Skills: - Snowflake, Cloudera Hadoop (HDFS, Hive, Impala), Iceberg

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance practices. - Optimize Spark jobs for cost and performance efficiency. - Automate ETL workflows with AWS Step Functions and Lambda. - Collaborate with data scientists and analysts on data needs. - Maintain documentation for data architecture and pipelines. - Experience with Open source bigdata file formats such as Iceberg or delta or Hundi - Desirable to have experience in terraforming AWS data analytical resources. Must-Have Skills: - AWS (S3, Glue, EMR Lambda, EMR), PySpark or Scala, SQL, ETL development. Good-to-Have Skills: - Snowflake, Cloudera Hadoop (HDFS, Hive, Impala), Iceberg

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance practices. - Optimize Spark jobs for cost and performance efficiency. - Automate ETL workflows with AWS Step Functions and Lambda. - Collaborate with data scientists and analysts on data needs. - Maintain documentation for data architecture and pipelines. - Experience with Open source bigdata file formats such as Iceberg or delta or Hundi - Desirable to have experience in terraforming AWS data analytical resources. Must-Have Skills: - AWS (S3, Glue, EMR Lambda, EMR), PySpark or Scala, SQL, ETL development. Good-to-Have Skills: - Snowflake, Cloudera Hadoop (HDFS, Hive, Impala), Iceberg

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance practices. - Optimize Spark jobs for cost and performance efficiency. - Automate ETL workflows with AWS Step Functions and Lambda. - Collaborate with data scientists and analysts on data needs. - Maintain documentation for data architecture and pipelines. - Experience with Open source bigdata file formats such as Iceberg or delta or Hundi - Desirable to have experience in terraforming AWS data analytical resources. Must-Have Skills: - AWS (S3, Glue, EMR Lambda, EMR), PySpark or Scala, SQL, ETL development. Good-to-Have Skills: - Snowflake, Cloudera Hadoop (HDFS, Hive, Impala), Iceberg

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.

We are seeking an experienced AWS Architect to join our dynamic team at Tech Mahindra. The AWS Architect will be responsible for designing, implementing, and managing cloud solutions on the AWS platform. The ideal candidate will have a strong background in AWS services, cloud architecture, and enterprise-level implementations. Key Responsibilities: Design and implement scalable, highly available, and fault-tolerant systems on AWS. Develop and manage cloud architecture and strategy, including cost management and optimization. Collaborate with clients and internal teams to understand business requirements and translate them into technical solutions. Provide architectural guidance and best practices for cloud deployment and operations. Lead the development of cloud solutions, including design, testing, and deployment. Monitor and manage cloud infrastructure to ensure optimal performance, security, and compliance. Troubleshoot and resolve issues related to cloud architecture and deployment. Stay updated with the latest AWS services and industry trends to ensure that Tech Mahindra's solutions are cutting-edge and competitive. Qualifications: Bachelors degree in Computer Science, Information Technology, or a related field. Advanced degrees or certifications are a plus. AWS Certified Solutions Architect (Associate or Professional) or equivalent certification. Proven experience designing and implementing AWS cloud solutions. Strong knowledge of AWS services including EC2, S3, RDS, Lambda, VPC, CloudFormation, and IAM. Experience with cloud security best practices and compliance requirements. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with DevOps practices and tools like Terraform, Jenkins, and Docker. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills with the ability to effectively interact with clients and stakeholders. Preferred Skills: Experience with multi-cloud environments (e.g., AWS, Azure, Google Cloud). Knowledge of container orchestration platforms such as Kubernetes. Familiarity with Agile methodologies and project management tools. Experience in migrating on-premises applications to the cloud.