2429 Aws Cloud Jobs - Page 2

Job Summary We are seeking an experienced AWS Architect to design, develop, implement, and operate cloud environments in AWS and Cloud Management Platform. The successful candidate will be responsible for architecting, implementing, and improving automation for cloud environments, ensuring industry-standard security practices, and advising customers on their cloud strategy roadmap. If you have a strong background in AWS Cloud Infrastructure, Java programming, and microservices architecture, we encourage you to apply. Key Responsibilities Design, develop, implement, and operate cloud environments in AWS and Cloud Management Platform Perform engineering design evaluations for new environment builds Architect, implement, and improve automation for cloud environments Recommend alterations to development and design to improve product quality Implement industry-standard security practices throughout the lifecycle Advise and engage with customer executives on their cloud strategy roadmap and improvements Create business cases for transformation and modernization, including analysis of total cost of ownership and potential cost and revenue impacts Analyze and design processes, focusing on technology-driven improvements to core enterprise processes Qualifications & Skills Mandatory: Strong hands-on experience in AWS Cloud Infrastructure Knowledge of AWS Services and Architecture (creation of AWS Architecture, knowledge of costing, and project management) Work experience with AWS Well Architecture Framework Strong Java programming skills Certification in AWS Architecture Experience with microservices architecture Strong communication skills Good to Have: Experience with AWS Core services, Unix, Python, and Shell Scripting Creating CI/CD pipelines using GitLab Hands-on experience with provisioning containers in AWS Container Instances and AKS Self-Assessment Questions Can you describe your experience with AWS Cloud Infrastructure and how you have applied it to previous roles? How do you stay up-to-date with the latest AWS services and architecture, and how do you apply this knowledge to improve cloud environments? Can you provide an example of a time when you had to implement industry-standard security practices in a cloud environment, and how you ensured compliance throughout the lifecycle? How do you approach process analysis and design, and what methods do you use to identify technology-driven improvements to core enterprise processes? Can you describe your experience with microservices architecture and how you have applied it to previous projects?

Responsibilities: * Collaborate with cross-functional teams on project requirements & deliverables * Design, develop & maintain Python apps using Django framework * Implement REST APIs & AWS cloud solutions

Job Title : Snowflake Developer with Oracle Golden Gate/ Data Engineer About Oracle FSGIU - Finergy: The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals Responsibilities: Snowflake Data Modeling & Architecture: Design and implement scalable Snowflake data models using best practices such as Snowflake Data Vault methodology. Real-Time Data Replication & Ingestion: Utilize Oracle GoldenGate for Big Data to manage real-time data streaming and optimize Snowpipe for automated data ingestion. Cloud Integration & Management: Work with AWS services (S3, EC2, Lambda) to integrate and manage Snowflake-based solutions. Data Sharing & Security: Implement SnowShare for data sharing and enforce security measures such as role-based access control (RBAC), data masking, and encryption. CI/CD Implementation: Develop and manage CI/CD pipelines for Snowflake deployment and data transformation processes. Collaboration & Troubleshooting: Partner with cross-functional teams to address data-related challenges and optimize performance. Documentation & Best Practices: Maintain detailed documentation for data architecture, ETL processes, and Snowflake configurations. Performance Optimization: Continuously monitor and enhance the efficiency of Snowflake queries and data pipelines. Mandatory Skills: Should have 4 years of experience as Data Engineer Strong expertise in Snowflake architecture, data modeling, and query optimization . Proficiency in SQL for writing and optimizing complex queries. Hands-on experience with Oracle GoldenGate for Big Data for real-time data replication. Knowledge of Snowpipe for automated data ingestion. Familiarity with AWS cloud services (S3, EC2, Lambda, IAM) and their integration with Snowflake. Experience with CI/CD tools (e.g., Jenkins, GitLab) for automating workflows. Working knowledge of Snowflake Data Vault methodology . Good to Have Skills: Exposure to Databricks for data processing and analytics. Knowledge of Python or Scala for data engineering tasks. Familiarity with Terraform or CloudFormation for infrastructure as code (IaC). Experience in data governance and compliance best practices . Understanding of ML and AI integration with data pipelines . Self-Test Questions: Do I have hands-on experience in designing and optimizing Snowflake data models? Can I confidently set up and manage real-time data replication using Oracle GoldenGate? Have I worked with Snowpipe to automate data ingestion processes? Am I proficient in SQL and capable of writing optimized queries in Snowflake? Do I have experience integrating Snowflake with AWS cloud services? Have I implemented CI/CD pipelines for Snowflake development? Can I troubleshoot performance issues in Snowflake and optimize queries effectively? Have I documented data engineering processes and best practices for team collaboration? Responsibilities Responsibilities: Snowflake Data Modeling & Architecture: Design and implement scalable Snowflake data models using best practices such as Snowflake Data Vault methodology. Real-Time Data Replication & Ingestion: Utilize Oracle GoldenGate for Big Data to manage real-time data streaming and optimize Snowpipe for automated data ingestion. Cloud Integration & Management: Work with AWS services (S3, EC2, Lambda) to integrate and manage Snowflake-based solutions. Data Sharing & Security: Implement SnowShare for data sharing and enforce security measures such as role-based access control (RBAC), data masking, and encryption. CI/CD Implementation: Develop and manage CI/CD pipelines for Snowflake deployment and data transformation processes. Collaboration & Troubleshooting: Partner with cross-functional teams to address data-related challenges and optimize performance. Documentation & Best Practices: Maintain detailed documentation for data architecture, ETL processes, and Snowflake configurations. Performance Optimization: Continuously monitor and enhance the efficiency of Snowflake queries and data pipelines. Qualifications Career Level - IC2

Job Title : Snowflake Developer with Oracle Golden Gate/ Data Engineer About Oracle FSGIU - Finergy: The Finergy division within Oracle FSGIU is dedicated to the Banking, Financial Services, and Insurance (BFSI) sector. We offer deep industry knowledge and expertise to address the complex financial needs of our clients. With proven methodologies that accelerate deployment and personalization tools that create loyal customers, Finergy has established itself as a leading provider of end-to-end banking solutions. Our single platform for a wide range of banking services enhances operational efficiency, and our expert consulting services ensure technology aligns with our clients' business goals Responsibilities: Snowflake Data Modeling & Architecture: Design and implement scalable Snowflake data models using best practices such as Snowflake Data Vault methodology. Real-Time Data Replication & Ingestion: Utilize Oracle GoldenGate for Big Data to manage real-time data streaming and optimize Snowpipe for automated data ingestion. Cloud Integration & Management: Work with AWS services (S3, EC2, Lambda) to integrate and manage Snowflake-based solutions. Data Sharing & Security: Implement SnowShare for data sharing and enforce security measures such as role-based access control (RBAC), data masking, and encryption. CI/CD Implementation: Develop and manage CI/CD pipelines for Snowflake deployment and data transformation processes. Collaboration & Troubleshooting: Partner with cross-functional teams to address data-related challenges and optimize performance. Documentation & Best Practices: Maintain detailed documentation for data architecture, ETL processes, and Snowflake configurations. Performance Optimization: Continuously monitor and enhance the efficiency of Snowflake queries and data pipelines. Mandatory Skills: Should have 4 years of experience as Data Engineer Strong expertise in Snowflake architecture, data modeling, and query optimization . Proficiency in SQL for writing and optimizing complex queries. Hands-on experience with Oracle GoldenGate for Big Data for real-time data replication. Knowledge of Snowpipe for automated data ingestion. Familiarity with AWS cloud services (S3, EC2, Lambda, IAM) and their integration with Snowflake. Experience with CI/CD tools (e.g., Jenkins, GitLab) for automating workflows. Working knowledge of Snowflake Data Vault methodology . Good to Have Skills: Exposure to Databricks for data processing and analytics. Knowledge of Python or Scala for data engineering tasks. Familiarity with Terraform or CloudFormation for infrastructure as code (IaC). Experience in data governance and compliance best practices . Understanding of ML and AI integration with data pipelines . Self-Test Questions: Do I have hands-on experience in designing and optimizing Snowflake data models? Can I confidently set up and manage real-time data replication using Oracle GoldenGate? Have I worked with Snowpipe to automate data ingestion processes? Am I proficient in SQL and capable of writing optimized queries in Snowflake? Do I have experience integrating Snowflake with AWS cloud services? Have I implemented CI/CD pipelines for Snowflake development? Can I troubleshoot performance issues in Snowflake and optimize queries effectively? Have I documented data engineering processes and best practices for team collaboration?

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular ramework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Mandatory Key Skillsagile development methodologies,aws cloud platform,angular,spring boot,kubernetes,kafka,docker,microservices architecture,cassandra,java,aws,Software Engineering*

Senior Backend Developer (Java, Spring Boot, object databases, Elasticsearch) Requirements: 6+ years of experience Proficiency in Java, Spring Boot, object databases, ElasticSearch/Solr, Practice in using AWS cloud, Docker & Kubernetes, REST APIs Experience in building scalable and high-performance systems Strong communication skills in English (B2+) Nice-to-have: Knowledge of Python, ETL experience, and big data solutions Responsibilities: Maintenance of a large modern search platform Handling production issues and incidents Optimizing and maintaining existing code for performance and availability Ensuring high performance and availability of the system Engage in the Release Process Team Information: Work within a SAFe, scrum / kanban methodology, and agile approach Collaborative and friendly atmosphere Utilization of microservice architecture and extensive CI/CD automation Tools used: git, IntelliJ, Jira, Confluence, i3 by Tieto as search backend Mandatory Key SkillsJava,Spring Boot,object databases,Elasticsearch,scrum,Kanban,CI/CD,Backend Development*

Requirements 6+ years of experience Proficiency in Java, Spring Boot, object databases, ElasticSearch/Solr, Practice in using AWS cloud, Docker & Kubernetes, REST APIs Experience in building scalable and high-performance systems Strong communication skills in English (B2+) Nice-to-have: Knowledge of Python, ETL experience, and big data solutions Responsibilities Maintenance of a large modern search platform Handling production issues and incidents Optimizing and maintaining existing code for performance and availability Ensuring high performance and availability of the system Engage in the Release Process Team Information Work within a SAFe, scrum kanban methodology, and agile approach Collaborative and friendly atmosphere Utilization of microservice architecture and extensive CI/CD automation Tools used: git, IntelliJ, Jira, Confluence, i3 by Tieto as search backend first round will be virtual and second round will be F2F. Skills: aws,spring boot,elasticsearch,rest apis,kubernetes,object databases,docker,java Mandatory Key SkillsElasticsearch,REST API,Kubernetes,docker,Python,ETL,Java*,Spring Boot*

(GenAI, JAVA, AI/ML, AWS,Saas is Must ) 15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: angular,ssl/tls,agile development methodologies,spring boot,kafka,aws cloud platform,docker,leadership,java,kubernetes,ai,microservices architecture,software,cassandra,security best practices,agile methodologies,oauth,kubernetes (k8s),aws Mandatory Key Skillsagile development,spring boot,kafka,aws cloud,docker,kubernetes,java,microservices,angular*

Requirements 6+ years of experience Proficiency in AWS Cloud, Kubernetes, Rancher, Terraform, ElasticSearch Operator, and CI/CD (Continuous Integration/Continuous Deployment) Experience in building scalable, efficient, high availability infrastructure Responsibilities Maintenance of a large modern search platform Handling production issues and incidents Assisting devs and QAs with their work Optimizing and maintaining existing infrastructure for performance and availability Ensuring high system performance and availability Team Information Work within a SAFe, scrum kanban methodology, and agile approach Collaborative and friendly atmosphere Utilization of microservice architecture and extensive CI/CD automation Mandatory Key SkillsAWS Cloud,Kubernetes,Rancher,Terraform,Elasticsearch,CI/CD,microservice architecture,DevOps*

The Skills that will make you successful in this role Understand requirement, source to target mapping and Data model and create mappings. Ensuring associated applications adhere to architecture standards, risk management and security guidelines and data management policies Strong working knowledge in ETL Informatica. Good exposure to writing SQL, Snowflake queries Working knowledge in Unix Good Understanding of Data Warehousing concepts, Dimension modelling . Good knowledge in agile methodologies. Good knowledge of Scripting (Python scripting, Shell or PowerShell) AWS Cloud knowledge and infrastructure management ( EC2) Experience with scheduling tools like Control-M . Experience in working with ServiceNow and ability to manage changes and its processes. Coordination with onshore & offshore application teams, Operations and business teams. Work with onsite teams to acquire a solid understanding of core deliverables, current state of technology and the strategic direction guiding future effort. Participate in the definition of both functional and non-functional requirements of a system and define the BI delivery strategy. The Skills that are good to have for this role UI Engineering with Angular Technology exposure is a plus Exposure to Power BI and Tableau is an added advantage Experience in using Jenkins / Stash Deployment using Udeploy / Datical Effective communication and excellent story-telling from data abilities Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems. The Expertise Were Looking For Bachelors in Information Systems, Computer Science or Information Technology. Relevant experience of 4-6 years Location Chennai/Bangalore Shift timings11:00 pm - 8:00pm Experience3 - 5 Years

Must : SRE Ops, AWS Cloud Infra, DevOps, Linux, Observability/Automation, CI/CD, Kubernetes/Docker Good to have Tools extensive knowledge, Python and Shell Scripting, Jenkins pipeline development, troubleshooting

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: agile development methodologies,aws cloud platform,angular,security best practices,spring boot,kubernetes (k8s),kafka,ai,docker,leadership,microservices architecture,cassandra,java,aws,software Mandatory Key Skills agile development,aws cloud platform,angular,spring boot,Kubernetes,kafka,ai,docker,Software Engineering*

Requirements: 6+ years of experience Proficiency in Java, Spring Boot, object databases, ElasticSearch/Solr, Practice in using AWS cloud, Docker & Kubernetes, REST APIs Experience in building scalable and high-performance systems Strong communication skills in English (B2+) Nice-to-have: Knowledge of Python, ETL experience, and big data solutions Responsibilities: Maintenance of a large modern search platform Handling production issues and incidents Optimizing and maintaining existing code for performance and availability Ensuring high performance and availability of the system Engage in the Release Process Team Information: Work within a SAFe, scrum kanban methodology, and agile approach Collaborative and friendly atmosphere Utilization of microservice architecture and extensive CI/CD automation Tools used: git, IntelliJ, Jira, Confluence, i3 by Tieto as search backend Mandatory Key Skills Docker,Kubernetes,REST API,Python,ETL,Java*,Spring Boot*,Elasticsearch*,Solr*,AWS cloud*

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: ssl/tls,software,agile development methodologies,spring boot,kubernetes,java,security best practices,microservices architecture,agile methodologies,leadership,kafka,architecture and design patterns,ai,aws cloud platform,docker,kubernetes (k8s),aws,oauth,angular,cassandraKeywordsJAVA,AI/ML,AWS,Saas,agile development methodologies,spring boot,kubernetes,security best practices,microservices architecture,agile methodologies,cloud platform,docker,oauth,angular,cassandra,GenAI Mandatory Key Skills JAVA,AI/ML,AWS,Saas,agile development methodologies,spring boot,kubernetes,security best practices,microservices architecture,agile methodologies,cloud platform,docker,oauth,angular,cassandra,GenAI

We are currently seeking a Java Backend Developer to join our team in Bangalore, Karntaka (IN-KA), India (IN). We are looking for a Java Backend Developer with 3-6 years of experience in building scalable, high-performance applications. The candidate should have strong coding skills in Java 8+, Spring Boot, and Microservices, with hands-on exposure to deployment on cloud environments. Key Responsibilities Design, develop, test , and deploy backend services using Java 8+, Spring Boot, and Microservices. Build and test RESTful APIs , ensuring reliability and scalability. Write and maintain unit and integration test cases . Contribute to QA by performing unit testing, integration testing, and supporting QA activities Work with PostgreSQL and MongoDB for persistence and data modeling. Package and deploy applications using Docker and Kubernetes. Deploy services on Azure or AWS cloud environments. Focus on high availability (HA), scalability, and performance optimization. Participate actively in Agile ceremonies and collaborate with cross-functional teams. Good-to-Have Skills Monitoring and observability skills for distributed environment Exposure to messaging platforms (Kafka, RabbitMQ). Experience with caching solutions (Redis). Familiarity with Infrastructure as Code (IaC) tools like Terraform. Spring Workflows.

Job Title: PHP Full Stack Developer (Laravel, Angular, AWS DevOps) Location: Kolkata , WB (Work from Office) Experience: 5 Years + Employment Type: Full-time Job Overview: We are seeking a skilled and motivated Full Stack PHP Developer with strong expertise in Laravel , Angular , and AWS DevOps . The ideal candidate will be responsible for developing scalable web applications, maintaining existing platforms, and deploying solutions in AWS cloud environments. This role requires proficiency in backend & frontend technologies, database design, cloud architecture, and DevOps practices. Key Responsibilities: Application Development: Design, develop, and maintain scalable, secure, and high-performance web applications using PHP (Laravel) and Angular . Build RESTful APIs and integrate third-party APIs/services. Ensure application responsiveness, security, and cross-browser compatibility . Work on code optimization, debugging, and performance tuning . Frontend Development (Angular): Develop dynamic and interactive user interfaces with Angular . Implement responsive design principles and optimize UI/UX performance. Collaborate with UI/UX designers to implement modern, user-friendly designs. Backend Development (Laravel): Develop robust backend logic, authentication, and authorization features. Implement database schemas, migrations, and stored procedures (MySQL/PostgreSQL). Write reusable, clean, and testable code following best coding practices . AWS DevOps & Cloud Management: Manage AWS services (EC2, S3, RDS, Lambda, CloudFront, Route53, IAM, etc.). Implement CI/CD pipelines using AWS CodePipeline / Jenkins / GitHub Actions. Monitor and optimize application performance with CloudWatch / New Relic . Ensure scalability, security, and backup strategies in cloud environments. Handle infrastructure as code (IaC) using Terraform/CloudFormation (preferred). Collaboration & Agile: Work closely with cross-functional teams (designers, testers, product managers). Participate in code reviews, sprint planning, and daily stand-ups . Mentor junior developers and share knowledge within the team. Required Skills & Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or related field. 5+ years of professional experience as a Full Stack Developer . Strong proficiency in PHP (Laravel framework) . Solid experience in Angular (latest versions preferred) . Proficient in MySQL / PostgreSQL , database design & optimization. Strong experience with AWS Cloud Services (deployment, scaling, monitoring). Hands-on experience with CI/CD pipelines, Git, Docker, Kubernetes (preferred) . Familiarity with Agile/Scrum methodology . Strong problem-solving and analytical skills.

Over 8 years of professional experience as a Java Engineer, with a strong focus on DevOps practices and AWS cloud infrastructure and large-scale distributed systems. Solid background in Java backend development using Java Spring Boot frameworks integrated with relational and NoSQL databases or Designing, developing, and maintaining scalable and efficient backend services and applications using Go. Strong background in software system design, including high-availability, fault-tolerant, and horizontally scalable architectures Deep experience with containerization using Docker, and orchestrating container workloads through Kubernetes for scalable, resilient deployments. Extensive exposure to CI/CD pipelines – skilled in designing, building, testing, and deploying code efficiently and reliably. Developmental experience in creating and maintaining shared Jenkins libraries to standardize CI/CD workflows across teams. Proficient with a wide range of DevOps and CI/CD tools, including:Git, Maven/Gradle/npm, SonarQube, Docker, Nexus, Artifactory. Strong experience with AWS services, including but not limited to: EC2, S3, IAM, CloudWatch, RDS, Lambda, ECS/EKS, API Gateway, CloudFormation, CodePipeline, and SNS/SQS. Familiarity with core networking concepts, storage solutions, logging, monitoring, distributed tracing, and alerting mechanisms (e.g., using CloudWatch, ELK, or Prometheus/Grafana). Skilled in data visualization and dashboarding using MajorDomo, enabling analytics and insights. Demonstrated problem-solving and analytical skills, with a proactive approach to troubleshooting complex system issues. Excellent communication and collaboration abilities, with a proven track record of working cross-functionally across IT teams and business stakeholders. Roles and Responsibilities Solid background in Java backend development using Java Spring Boot frameworks integrated with relational and NoSQL databases or Designing, developing, and maintaining scalable and efficient backend services and applications using Go. Strong background in software system design, including high-availability, fault-tolerant, and horizontally scalable architectures Deep experience with containerization using Docker, and orchestrating container workloads through Kubernetes for scalable, resilient deployments. Extensive exposure to CI/CD pipelines – skilled in designing, building, testing, and deploying code efficiently and reliably. Developmental experience in creating and maintaining shared Jenkins libraries to standardize CI/CD workflows across teams. Proficient with a wide range of DevOps and CI/CD tools, including: Git, Maven/Gradle/npm, SonarQube, Docker, Nexus, Artifactory. Strong experience with AWS services, including but not limited to: EC2, S3, IAM, CloudWatch, RDS, Lambda, ECS/EKS, API Gateway, CloudFormation, CodePipeline, and SNS/SQS. Familiarity with core networking concepts, storage solutions, logging, monitoring, distributed tracing, and alerting mechanisms (e.g., using CloudWatch, ELK, or Prometheus/Grafana). Skilled in data visualization and dashboarding using MajorDomo, enabling analytics and insights. Demonstrated problem-solving and analytical skills, with a proactive approach to troubleshooting complex system issues. Excellent communication and collaboration abilities, with a proven track record of working cross-functionally across IT teams and business stakeholders.

Urgent Hiring in Genpact for Senior Data Engineer Location: Bangalore, Genpact office Prestige Park Shift Timings- 12 PM to 10 PM IST Work Mode: Hybrid Permanent role Looking for candidate with immediate to 30 days' notice period Title: Senior Data Engineer AWS | ETL | SQL | Python Job Description: We are looking for a Senior Data Engineer (2+ years with strong expertise in AWS cloud technologies, ETL pipelines, SQL optimization, and Python scripting . The role involves building and maintaining scalable data pipelines while leveraging AWS services to enable seamless data transformation and accessibility. Key Responsibilities: Build and optimize ETL pipelines using AWS Step Functions & AWS Lambda . Develop scalable data workflows leveraging AWS tools and SQL. Write efficient SQL queries for large-scale datasets. Collaborate with cross-functional teams to meet business data needs. Integrate APIs to enrich and expand datasets. Deploy and manage containerized applications (Docker/Kubernetes). Mandatory Skills: 2+ years of Data Engineering experience. Hands-on expertise in AWS, ETL, SQL, Python . Strong working knowledge of AWS Step Functions & AWS Lambda . Preferred Skills: AWS Glue, Git/CI-CD, REST/SOAP APIs, Docker/Kubernetes. PySpark, Snowflake, Linux.

Position: Fullstack Developer Ecommerce Experience Required: 3 to 6 Years Primary Skills: React JS, Typescript, RestAPI, AWS, NodeJS / Python Secondary Skills: MySQL / PostgreSQL / NoSQL Work location: Bengaluru / Mumbai / Pune / Noida / Gurugram Expert in one or more server-side languages (e.g., NodeJS/ Python). Must have experience in AWS cloud platforms Must have extensive experience in TypeScript, Node JS, React JS Experience with relational databases (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB). Experience designing, developing, and documenting APIs. Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD). Experience with unit testing, integration testing, and performance testing. Understanding of back-end security principles and practices. Communication: Strong communication and interpersonal skills. Ability to lead and mentor junior developers. Candidates with notice period 30 days or less only need apply

Seeking an MLOps Engineer to design, deploy, and monitor ML systems. You’ll ensure models are reliable, scalable, and easy to manage, while building tools that support teams and improve workflows. Required Candidate profile Looking for 3+ yrs exp in DevOps/MLOps/ML/Data Eng, strong Python, Git, CI/CD, Docker, K8s, cloud (AWS/GCP/Azure).Plus MLflow, Kubeflow, Airflow, PySpark; bonus Kafka, ArgoCD, Helm, Java, GPU.

Under general supervision, responsible for the development of ocess of designing, developing and implementing of cloud technology/solutions (e.g. Middleware, applications, hardware and networks) that interfaces with many sub-systems to improve operational costs and efficiency. Works under general instruction with some direct supervision.

We are seeking a skilled and proactive to maintain, upgrade, and manage our software, hardware, and networks. Key Responsibilities: • Install, configure, and maintain servers, workstations, and network equipment. • Monitor system performance and ensure system availability and reliability. • Manage Active Directory, DNS, DHCP, Group Policies, and other domain services. • Perform system and data backups regularly; test and validate recovery procedures. • Apply operating system updates, patches, and configuration changes. • Administer firewalls, antivirus systems, and security policies. • Troubleshoot hardware and software issues and resolve technical problems. • Ensure security through access controls, firewalls, and backups. • Monitor infrastructure and network performance using tools like Nagios, Zabbix, or similar. • Manage virtualization platforms (e.g., Nutanix) and cloud environments (e.g., Azure, AWS). • Coordinate with vendors and support services for hardware/software issues. • Document configuration, processes, and incident reports thoroughly. • Manage Active Directory, Group Policy Objects (GPOs), DNS, DHCP, and File/Print Services. • Perform regular patching, updates, and system hardening. • Configure and support Windows Failover Clustering, DFS, RDS, and IIS. • Implement and manage backup and restore strategies using Veeam, Windows Backup, or similar tools. • Ensure endpoint protection and compliance with security policies (Windows Defender, antivirus, BitLocker, etc.). • Troubleshoot complex Windows server, desktop, and network issues. Preferred Qualifications: • Certifications like MCSA, MCSE, CCNA. • Experience with cloud services (AWS, Azure,).

As a Data Engineer specializing in Pyspark and SQL at Barclays, your main role will involve spearheading the evolution of the digital landscape, driving innovation and excellence within the company. You will be responsible for harnessing cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Working as part of a team of developers, your primary focus will be delivering a technology stack using your strong analytical and problem-solving skills to understand business requirements and deliver quality solutions. Key Responsibilities: - Hands-on experience in Pyspark with a strong knowledge of Dataframes, RDD, and SparkSQL. - Proficiency in Pyspark performance optimization techniques. - Development, testing, and maintenance of applications on AWS Cloud. - Strong grasp of AWS Data Analytics Technology Stack including Glue, S3, Lambda, Lake formation, and Athena. - Design and implementation of scalable and efficient data transformation/storage solutions using open table formats such as DELTA, Iceberg, and Hudi. - Experience in using DBT (Data Build Tool) with snowflake/Athena/Glue for ELT pipeline development. - Proficiency in writing advanced SQL and PL SQL programs. - Building reusable components using Snowflake and AWS Tools/Technology. - Project implementation experience in at least two major projects. - Exposure to data governance or lineage tools like Immuta and Alation. - Knowledge of orchestration tools such as Apache Airflow or Snowflake Tasks. - Familiarity with Ab-initio ETL tool is a plus. Qualifications Required: - Ability to engage with Stakeholders, elicit requirements/user stories, and translate requirements into ETL components. - Understanding of infrastructure setup and the ability to provide solutions individually or with teams. - Good knowledge of Data Marts and Data Warehousing concepts. - Possess good analytical and interpersonal skills. - Implementation of Cloud-based Enterprise data warehouse with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy. In this role based out of Pune, your main purpose will be to build and maintain systems that collect, store, process, and analyze data such as data pipelines, data warehouses, and data lakes to ensure accuracy, accessibility, and security of all data. As a Data Engineer at Barclays, you will be accountable for: - Building and maintaining data architectures pipelines for durable, complete, and consistent data transfer and processing. - Designing and implementing data warehouses and data lakes that manage appropriate data volumes and velocity while adhering to required security measures. - Developing processing and analysis algorithms suitable for the intended data complexity and volumes. - Collaborating with data scientists to build and deploy machine learning models. As part of your analyst expectations, you will be required to perform activities in a timely manner and to a high standard consistently, driving continuous improvement. You will need in-depth technical knowledge and experience in your area of expertise, leading and supervising a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. Additionally, you will be expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution Do 1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch Support the solutioning team from architectural design, coding, testing and implementation Understand the functional design as well as technical design and architecture to be implemented on the ERP system Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions Write code as per the developmental standards to decide upon the implementation methodology Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly Support on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet Mandatory Skills: AWS Cloud Operations. Experience: 8-10 Years.

Senior Engineer-.Net With AWS Mandatory: Microsoft .Net Development Technologies (C#, MVC, .NET 4, 4.5, 6/7 ,NET Core) ,WEB API, Design Patterns, Knowledge of MS SQL Server and ability to write procedures and debug SQL query. Knowledge of Full Stack (Frontend, backend, and Database)- Secondary Good to Have: Knowledge of Microservices and Serverless architecture AWS Cloud Native development Terraform for AWS Infrastructure deployments. Excellent communication and organizational skills Drive to improve systems and processes through a sense of shared ownership. Mandatory Skills: FullStack Microsoft .NET Smart Web App. Experience: 3-5 Years.