AWS Jobs

Key Qualifications and experience:5-6 years of information technology experience with full application development life cycle and systems integration experienceAbility to understand existing (large) codebase written in Ant, Maven, Gradle, JSP, J2EE, EJB, Spring, Hibernate, etc. and identifying all dependencies.Should have knowledge of application deployment and Software development life cycle.5+ years of experience in development in J2EE framework.Good to have 1 year of experience in development in AWS Serverless (Lambda, Step Functions, SQS, SNS)AI Assisted Development - Co-pilot, BMAD, any other AI tools that help in overall SDLCPreferred knowledge in Python, Agentic AI space, AWS servicesExperience of migrating legacy applications to latest technologies; on-premises infrastructure to cloud such as AWS, GCP.Experience coaching, mentoring and delegating tasks to a team of talented software engineers.Should be motivated to devote time to spreading knowledge widely via talks, blog posts or written documentationTechnical Credentials:Java 8 (or higher) /J2EEAWS Serverless (Lambda, Step Functions, SQS, SNS)Integration Services -Spring: Spring Boot, JWT Authorization, API Gateway, Spring Framework 4.x (or higher), Spring JMS (Java Messaging Services), Spring MVC (model-view-controller), SwaggerBackend Data Integration:JPA/Hibernate/JDBCJava Batches / Spring BatchesEJB/Hibernate/JPA, Spring MVC Spring-DataMainframe experience is good to have.WebServer:Hands on experienceWAS WebSphere Liberty Cloud ServerWebLogicDatabase, ETL, reporting:SQL Server, Oracle, SSIS, SSRSUI Skills: JSP, React, Bootstrap, java script, jQuery, AJAX, HTML, CSS, React /GWTExposure to cloud is preferred with Docker/Kubernetes/RedHat OpenShiftProfessional certification in cloud such AWS/GCP is a definite plus.Tools:a.Bitbucket/GITb.Jenkinsc.SonarQubed.Postmane.IntelliJf.Terraform

We are looking for an Enterprise Cloud Engineer to manage, monitor, automate, and optimize AWS and Azure cloud infrastructure in a commercial environment. The role involves cloud operations, infrastructure automation, monitoring, security, performance management, capacity planning, and cloud migration while supporting both cloud and on-premise environments.Key Responsibilities:Provision, deploy, configure, and monitor AWS and Azure cloud environments.Automate infrastructure using Terraform, CloudFormation, Python, Docker, Salt, and Puppet.Architect and manage AWS and Azure virtual machines following cloud best practices.Install, configure, and maintain operating systems, databases, applications, and development environments.Monitor infrastructure and application performance using tools such as AWS CloudWatch, Nagios, New Relic, Grafana, PRTG, and SolarWinds.Identify performance bottlenecks and implement infrastructure improvements.Plan resource scaling and implement auto-scaling solutions based on workload requirements.Monitor cloud infrastructure costs and identify cost optimization opportunities.Manage users, policies, and cloud security controls.Design and support public/private cloud migration solutions.Support on-premise to cloud migration projects and infrastructure modernization.Manage infrastructure capacity, availability, utilization, and expansion requirements.Provision, maintain, and monitor MSSQL and MySQL databases.Manage Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Support web applications, middleware platforms, and infrastructure services.Develop support processes, work plans, risk management plans, and technical schedules.Collaborate with infrastructure, network, database, application, and service teams.Participate in on-call support and resolve infrastructure issues when required.Required Skills & Qualifications:4-7 years of experience in Cloud Infrastructure, Cloud Engineering, DevOps, or Infrastructure Administration.Strong hands-on experience managing both AWS and Azure cloud environments.Experience with on-premise to cloud migration projects.Strong scripting skills in Python, Shell, and PowerShell.Experience with Terraform and/or CloudFormation.Good knowledge of virtualization, high availability, performance tuning, and capacity planning.Experience with cloud monitoring and observability tools such as CloudWatch, Nagios, New Relic, or Grafana.Knowledge of AWS/Azure scaling, web services, database services, and caching infrastructure.Experience with MSSQL and MySQL provisioning, maintenance, and monitoring.Strong knowledge of Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.Understanding of web applications and middleware such as Tomcat and Python frameworks.Knowledge of server, storage, and data centre infrastructure.Understanding of Agile and Waterfall methodologies.Strong troubleshooting, communication, presentation, and collaboration skills.Certifications:Required: AWS Certified Solutions ArchitectDesirable: Red Hat CertificationDesirable: MCSE - Cloud Platform and Infrastructure

DevOps Engineer - LOS / LMSExperience: 6+ YearsLocation: DElhi NCR Employment Type: Full-timeIndustry: FinTech / Lending TechnologyAbout the RoleWe are looking for an experienced DevOps Engineer to manage and improve the infrastructure, deployment, security, reliability and scalability of our Loan Origination System (LOS), Loan Management System (LMS), and digital lending platform The ideal candidate should have strong hands-on experience withLinux, Azure Cloud, CI/CD, applicationdeployment, monitoring, security and production infrastructure.Experience working with FinTech, Banking, NBFC, LOS, LMS or other financial applications will be strongly preferred.Key ResponsibilitiesManage and maintain production and non-production infrastructure for LOS/LMS applications.Deploy and manageJava, Python and React.js applicationsacross development, staging andproduction environments.Design, implement and maintainCI/CD pipelinesfor automated build, testing and deployment.Manage cloud infrastructure primarily onMicrosoft Azure.Configure and maintain Linux servers and application environments.Manage application servers, databases, networking, DNS, SSL certificates and securityconfigurations.Implement infrastructure monitoring, logging, alerting and performance monitoring.Troubleshoot production deployment, server, networking and application infrastructure issues.Ensure high availability, reliability and scalability of production systems.Implement backup, disaster recovery and deployment rollback strategies.Manage environment configurations and secrets securely.Work closely with Java, Python, React.js developers and QA teams.Automate repetitive infrastructure and deployment tasks.Maintain proper documentation of infrastructure, deployment processes and configurations.Support production releases and resolve critical infrastructure issues.Required Skills3+ years of professional experience in DevOps / Cloud / Infrastructure Engineering.Strong hands-on experience withLinux/Ubuntu server administration.Strong experience withMicrosoft Azure.Experience with Azure Virtual Machines, Networking, Storage, NSG, Load Balancer and relatedservices.Strong understanding of CI/CD pipelines.Experience with Git and Git-based deployment workflows.Experience deploying Java/Spring Boot, Python and React.js applications.Good understanding of Nginx / Apache and reverse proxy configuration.Experience managing MySQL/PostgreSQL databases from an infrastructure/operations perspective.Strong understanding of TCP/IP, DNS, HTTP/HTTPS, SSL/TLS and networking.Experience with monitoring, logging and alerting.Good scripting knowledge using Bash and/or Python.Strong troubleshooting and problem-solving skills.DevOps & AutomationHands-on experience with several of the following:DockerKubernetesAzure DevOpsGitHub Actions / GitLab CITerraform / Infrastructure as CodeAnsibleDocker ComposeNginxJenkinsHelmLinux Shell ScriptingContainerized deploymentsSecurity & ReliabilityImplement secure server and cloud configurations.Manage SSH access, firewall rules and network security.Manage application secrets and credentials securely.Configure SSL/TLS certificates and HTTPS.Implement least-privilege access and role-based permissions.Monitor infrastructure and application health.Implement backup and disaster recovery procedures.Assist in vulnerability management and security hardening.Maintain production environments with strong uptime and reliability standards.Preferred - FinTech / Lending ExperienceCandidates with experience supporting any of the following will be strongly preferred:Loan Origination System (LOS)Loan Management System (LMS)Digital Lending PlatformsBanking / NBFC applicationsFinTech SaaS platformsFinancial transaction systemsMulti-tenant SaaS applicationsHigh-volume API platformsApplications handling sensitive customer and financial dataProduction environments requiring strong security and availabilityGood to HaveAzure Kubernetes Service (AKS)Azure SQL / Managed Database ServicesAzure Application GatewayAzure Monitor / Application InsightsAzure Key VaultRedisKafka / RabbitMQElasticsearchPrometheus / GrafanaCloudflareCI/CD automationInfrastructure as CodeMicroservices architectureBlue-Green / Rolling deploymentsAuto-scaling and high-availability architectureWe are looking for a DevOps Engineer who can take ownership of the complete deployment andinfrastructure lifecycle of our LOS/LMS platform.The candidate should be comfortable working directly on Linux production servers, Azure infrastructure,deployments, networking, monitoring and troubleshooting rather than having only theoretical cloudknowledge.Experience handling real production systems for Banks, NBFCs, FinTech companies or lendingplatforms will be a strong advantage.Interview FocusCandidates may be evaluated on:Linux & Server AdministrationAzure CloudCI/CDDocker & ContainerizationNetworkingNginx / Reverse ProxyProduction DeploymentMonitoring & LoggingSecurity & SSLDatabase InfrastructureTroubleshootingAutomation & ScriptingHigh Availability & Disaster RecoveryFinTech / Lending Infrastructure Knowledge

Role Title: Senior Quality Engineer IIPosition Summary:The Senior Quality Engineer II for the Enterprise Commerce team is a key technical leader at the Marriott Tech Accelerator, responsible for driving quality assurance and automation excellence across multiple commerce tracks. This role ensures the highest standard of deliverables by managing robust end-to-end testing strategies, fostering collaboration with cross-functional stakeholders, and advancing automation practices for scalable, secure, and reliable commerce solutions.Key Responsibilities:Lead and mentor quality engineering teams, overseeing quality assurance across all commerce tracks and ensuring the integrity and reliability of deliverables.Design, implement, and optimize automation frameworks and test strategies for complex backend systems, REST APIs, Kafka-dependent applications, NoSQL document databases, and cloud-based deployments.Validate and automate test cases for systems leveraging event-driven architectures and cloud infrastructure (AWS or other providers).Integrate test cases with CI and CD pipelines.Collaborate with engineering, product, and business stakeholders to align testing activities with release goals and business priorities.Drive continuous improvement in test processes, defect management, and automation coverage, proactively identifying and addressing gaps in test execution.Facilitate technical training and development for team members to elevate overall quality standards.Coordinate the scheduling and execution of testing and report errors and issues for resolution.Contribute to the identification and ongoing monitoring of risks and concerns.Review and approve test scripts and automation flows, ensuring best practices are followed across all commerce initiatives.Required Skills and Experience:Minimum of 6+ years of hands-on experience in automation scripting for large-scale applications.At least 6+ years of experience working with backend systems, RESTful APIs, and validating/automating test cases for applications dependent on Kafka event streaming.At least 6+ years of experience in Spring Boot and Java application development and automation.Prior experience integrating automation test scripts with CI/CD pipelines.Strong expertise with NoSQL document databases (e.g., MongoDB, DynamoDB, Couchbase) and experience testing solutions deployed on AWS or other major cloud platforms.Proven ability to manage distributed and offshore quality engineering teams.Excellent communication, organizational, and technical problem-solving skills.At least 5+ years of cumulative experience with backend automation testing frameworks, including but not limited to Tricentis Tosca, Smartbear ReadyAPI, Cucumber BDD, and Karate BDD.Preferred Qualifications:Demonstrated experience with Tricentis Tosca, Smartbear ReadyAPI, Cucumber BDD, or Karate BDDDemonstrated experience with Springboot and Java.Education and Certifications:Undergraduate / bachelors degree in computer science, Information Systems, or a related field.Work location: Hyderabad, India.Work mode: HybridMarriotts core values:At Marriott, our make us who we are. We believe that success is never final. As we change and grow, the beliefs that are most important to us stay the same-putting people first, pursuing excellence, embracing change, acting with integrity, and serving our world. Being part of Marriott Tech Accelerator means being part of a proud history and a thriving culture.

Job Title: Fresher Recruitment Backdoor Job OpportunityLocation: HyderabadEligibility: Freshers Process: Genuine and Transparent Job Description:We have openings in Dot net Basis etc, We provide all genuine software IT related jobs through backdoor process, How to Apply:if anyone interested contact me(99and89and61and27and35)(Nine Nine Eight Nine Six One Two Seven Three Five)Nothing Comes for free in this world,everything has a process .Sometimes its talent other times its money Selection Process: Direct and genuine backdoor entry

Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Build and optimize data ingestion processes from multiple structured and unstructureddata sources. Develop robust data models and data warehouses for analytics and reporting. Design and optimize SQL queries for high-performance data processing. Build and maintain data lakes using cloud storage solutions. Implement data validation, cleansing, transformation, and quality checks. Integrate data solutions with cloud platforms such as AWS, Azure, or Google CloudPlatform. Develop batch and real-time data processing pipelines using modern data processingframeworks. Collaborate with data scientists, analysts, and application teams to deliver reliable datasolutions. Follow software engineering best practices, including Git, CI/CD pipelines, testing,monitoring, and technical documentation.Required Skills 5+ years of experience in Data Engineering. Strong programming experience in Python. Hands-on experience with PySpark and Apache Spark. Advanced SQL skills, including query optimization and performance tuning. Experience with AWS services/ Azure/ GCP. Experience building scalable ETL/ELT pipelines. Strong exp in Generative AI and Large Language Models (LLMs) Knowledge of data warehousing concepts and dimensional modeling. Experience working with large-scale distributed datasets. Familiarity with Git and CI/CD pipelines. Understanding Agile/Scrum methodologies.Preferred Qualifications Experience with Apache Airflow or similar workflow orchestration tools. Knowledge of Kafka and real-time data streaming. Familiarity with Docker, Kubernetes, and Terraform (IaC). Exposure to Databricks and modern data lake technologies (Delta Lake, Apache Iceberg,or Apache Hudi). Understanding data governance, metadata management, and CI/CD practices. Strong exp in Generative AI and Large Language Models (LLMs) Strong analytical, problem-solving, and communication skills.Qualifications Bachelor's degree in computer science, Information Technology, Engineering, or relatedtechnical discipline.

ROLE OVERVIEWYou will be responsible for building, maintaining and productionizing the backend infrastructure of VAMS ATLAS.The platform must support:* Deterministic scientific computation* Reproducible pipeline execution* Immutable/versioned reference artifacts* PostgreSQL-backed registries* Asynchronous computational workloads* API services* Audit trails and provenance* Evidence and entitlement gating* Report generation contracts* Cloud object storage* Production observability* Secure integration with frontend applicationsCORE RESPONSIBILITIES1. Backend API DevelopmentDevelop and maintain backend services and APIs supporting the VAMS BIOME ecosystem.2. PostgreSQL & Data ArchitectureOwn and extend the ATLAS PostgreSQL data layer. The engineer will work with registries covering areas such as:* samples* sequencing runs* analysis runs* score definitions* panels* conditions* reference cohorts* reference artifact sets* pipeline/version metadata* QC flags* confidence penalties* report outputs* audit recordsScientific outputs must remain traceable to the exact configuration and artifacts from which they were generated.3. Reference Artifact RegistryImplement and maintain the VAMS ATLAS Reference Artifact Registry.4. Deterministic Reference SelectionImplement deterministic selection of reference cohorts/artifacts based on analysis context.5. Analysis Run OrchestrationBuild and maintain the execution layer connecting backend services with computational/bioinformatics pipelines.The engineer is not expected to invent microbiome algorithms.Bioinformatics and scientific teams define biological processing and interpretation logic.The backend engineer makes these pipelines reliable, deterministic, scalable and auditable.6. Two-Mode Execution ArchitectureThe platform maintains strict separation on Cohort Build ModeUsed offline to construct and register approved reference artifacts.7. Auditability & ProvenanceEvery ATLAS run must generate sufficient provenance to reconstruct the analysis.Where appropriate, computational outputs should have integrity hashes.A historical report should be traceable back to its computational inputs and configuration.8. Scientific Governance EnforcementThe backend is responsible for enforcing scientific governance supplied by the scientific/Founders Office configuration.9. Reporting BackendDevelop structured report objects by:* VAMS ATLAS web applications* downloadable reports* clinician-facing interfaces* future mobile applications* analytics and internal systems10. Cloud & InfrastructureHelp operate and evolve the cloud execution architecture.Expected areas include:* AWS* S3/object storage* containerized workloads* Docker* Asynchronous jobs/queues* Worker infrastructure* CI/CD* Environment management* Secrets management* Log/ Monitor* Health checksExperience with one or more of the following is valuable:* AWS Batch* ECS/Fargate* Step Functions* Lambda* SQS* EventBridge* CloudWatchEquivalent production cloud experience is acceptable.11. Security & Production EngineeringImplement secure engineering practices across the backend.Experience working with health, genomic or other sensitive datasets is advantageous.REQUIRED TECHNICAL SKILLSCandidates should have strong practical experience with most of the following:Backend* Python* FastAPI or comparable modern Python API framework* Pydantic / schema validation* REST API design* asynchronous/background processingDatabase* PostgreSQL* SQL* relational schema design* migrations* constraints and indexes* transactional systems* JSON/JSONBInfrastructure* Docker* Linux* Git / GitHub* CI/CD* AWS or equivalent cloud infrastructure* object storage such as S3* environment and secrets managementEngineering* Automated testing* API testing* Integration testing* Structured logging* Exception handling* Idempotent operations* Versioning* Reproducible executionSTRONGLY PREFERRED EXPERIENCECandidates with experience in any of the following will be particularly valuable:* Bioinformatics* Genomics* Microbiome data* Scientific computing* Health-tech* Clinical software* Laboratory data systems* Workflow orchestration* Data engineering* ML/data pipelines* Reproducible computational pipelinesFamiliarity with concepts such as FASTQ, sequencing pipelines, reference databases or computational provenance is advantageous but not mandatory.Important Role BoundaryThis position owns engineering implementation, not independent scientific decision-making.The Backend / Platform Engineer should not independently:* Invent microbiome scoring formulas* Modify biological thresholds* Change evidence tiers* Determine whether datasets are scientifically valid* Redefine condition mappings* Reinterpret microbiome biology* Modify scientific recommendationsThose decisions are supplied through governed scientific specifications.The engineers responsibility is to ensure those specifications are implemented correctly, deterministically, securely and audibly.What Success Looks LikeWithin the first few months, the successful engineer should be able to demonstrate that:1. ATLAS backend services can reliably execute production analysis workflows.2. Every analysis run is versioned and auditable.3. Historical analyses can identify the exact reference artifacts used.4. Reference artifacts cannot be accidentally modified by production user workflows.5. Scientific gating is enforced server-side.6. Backend APIs expose stable contracts to frontend applications.7. Failed computational jobs can be diagnosed and recovered safely.8. Automated tests cover critical backend and governance rules.9. Production services have appropriate logging, monitoring and health checks.10. The platform can scale from Phase-1 operations toward substantially larger sample volumes without architectural replacement.Candidate ProfileWe are particularly interested in engineers who enjoy building systems where correctness matters more than simply shipping endpoints.You may be a good fit if you:* Think carefully about system boundaries* Understand database integrity* Prefer deterministic systems over hidden behavior* Write testable code* Document architectural decisions* Are comfortable reading technical/scientific specifications* Can work independently* Can challenge ambiguous requirements constructively* Understand that scientific software requires stronger provenance than ordinary consumer applicationsMinimum Qualifications* Bachelors degree in Computer Science, Software Engineering, Information Technology or related discipline, or equivalent demonstrated engineering experience* Approximately 3+ years of professional backend/software engineering experience* Strong Python skills* Strong PostgreSQL/SQL skills* Experience building production APIs* Experience with Docker and Git* Experience deploying or operating cloud-based systems* Good understanding of software testing and production debuggingPreferred Qualifications* 4-6+ years backend/platform experience* FastAPI production experience* AWS architecture experience* Workflow/orchestration experience* Bioinformatics or computational biology exposure* Experience handling sensitive health/scientific data* Experience building reproducible data-processing systems* Infrastructure-as-code experience* Strong automated testing practices* Experience with observability and production incident debuggingWHAT TO SUBMITInterested candidates should submit the ff:* Resume/CV* GitHub profile or examples of previous technical work where available* Brief description of a backend/platform system they personally designed or substantially implemented* Technologies used* Their specific contribution to the architectureShortlisted candidates will complete a technical discussion and practical architecture/coding assessment focused on backend engineering, PostgreSQL, APIs, deterministic processing and production system design.

Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.

We are looking for a Data Engineer with 9 to 15 years of experience to join our team in Chennai. This role offers the flexibility of working from home. The successful candidate will play a crucial role in managing and optimizing data pipelines to support our data-driven decision-making processes.Key Responsibilities:- Data Pipeline Development: Design and create efficient data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from various sources.- Data Management: Manage large sets of data, ensuring their accuracy, privacy, and security throughout the entire data lifecycle.- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary data solutions.- Performance Optimization: Monitor and optimize the performance of existing data systems and processes for improved efficiency and scalability.- Documentation: Maintain clear and comprehensive documentation of data processes and architecture for future reference and compliance.Required Skills and Expectations:The ideal candidate should possess strong programming skills, especially in Python or Java, and have experience with SQL and NoSQL databases. Familiarity with data warehousing tools and cloud platforms such as AWS or Azure is expected. Candidates should be adept in using ETL tools and have knowledge of data modeling techniques. Strong analytical and problem-solving skills are crucial, along with the ability to work independently and communicate effectively with team members and stakeholders. The candidate should demonstrate a proactive approach to learning new technologies and methodologies in the data engineering field.

DevOps EngineerRoles & ResponsibilitiesAs a DevOps Engineer, you will be responsible for:Linux Systems ManagementAdminister, secure, and maintain Linux-based servers across environments.CI/CD Pipeline ManagementDesign and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and integrate automated tests and deployments.Cloud & On-Prem InfrastructureDeploy and manage infrastructure on AWS and On-Prem systems, ensuring scalability and high availability.Containerization & OrchestrationBuild and manage containerized applications using Docker.Infrastructure as Code (IaC)Use Terraform, Ansible, or similar tools to provision and configure infrastructure through version-controlled code.Automation & ScriptingDevelop automation scripts using Python, Ansible, Bash, or Shell to streamline operations.Monitoring & LoggingConfigure and maintain Prometheus, Grafana, Loki, CloudWatch, or similar tools to ensure observability and timely issue detection.Security & ComplianceImplement security best practices, manage IAM access, secrets, and perform regular patching and vulnerability reviews.Version Control & CollaborationWork with Git repositories, branching strategies, and coordinate with Development, QA, and Operations teams.Database ManagementMaintain MySQL/MongoDB databases, including monitoring, performance tuning, and backup/recovery.Operational SupportTroubleshoot infrastructure issues, ensure system reliability, and maintain documentation and process improvements.

As a Full Stack Developer intern, you will be responsible for both front-end and back-end development of web applications. You will work with a variety of technologies and tools while collaborating with a team to deliver high-quality software solutions.Key Responsibilities:- Develop Front-End Features: Design and implement user-facing features using HTML, CSS, and JavaScript to ensure a smooth and engaging user experience.- Build Back-End Services: Create and manage server-side applications and databases, ensuring data is processed and stored efficiently.- Collaborate with Team Members: Work closely with designers and other developers to understand project requirements and contribute ideas for improvements.- Test and Debug Applications: Identify and fix bugs in the code to enhance performance and ensure applications run smoothly across different devices.- Participate in Code Reviews: Share feedback on code improvements and learn from feedback provided by team members to enhance your programming skills.Required Skills and Expectations:- Proficiency in basic programming languages such as HTML, CSS, and JavaScript is essential. Familiarity with frameworks like React or Angular is a plus.- Understanding of server-side languages like Node.js, PHP, or Python and knowledge of database management systems.- Strong problem-solving skills and the ability to think critically, especially when debugging code and designing new features.- Good communication skills to effectively collaborate with team members and articulate ideas.- Eagerness to learn and adapt to new tools and technologies, as well as a passion for software development and coding.

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.Location: IndoreExperience: 3-5 YearsKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.Build, optimize, and maintain data warehouses, data lakes, and relational databases.Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.Optimize database performance and manage large-scale datasets for efficient processing.Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.Implement data governance, security, and compliance standards.Troubleshoot and resolve data pipeline, database, and ETL-related issues.Stay updated with the latest trends and technologies in data engineering.Required SkillsProgramming & DatabaseStrong proficiency in Python (Pandas, NumPy)Excellent SQL skillsExperience with relational databases such as SQL Server, PostgreSQL, or MySQLData EngineeringStrong understanding of ETL/ELT conceptsHands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL toolsExperience in designing scalable data pipelinesData ModelingEntity-Relationship (ER) DiagramsDimensional ModelingData NormalizationCloud & Big DataExperience with AWS, Azure, or GCPFamiliarity with Apache Spark, Hadoop, and KafkaKnowledge of Apache Airflow for workflow orchestrationGood to HaveExperience with Git and CI/CD pipelinesKnowledge of Docker or KubernetesExposure to Power BI, Tableau, or other BI toolsUnderstanding of data governance and security best practicesQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.3-5 years of experience in Data Engineering or a similar role.How to ApplyInterested candidates can send their updated CV to chhabi.s@zecdata.com or contact 9039081253 for more information.

- Develop, test, implement, and maintain Java-based applications- As a Java Developer, you will be responsible for creating, testing, and deploying Java applications to meet business requirements.- Collaborate with cross-functional teams to define, design, and ship new features- You will work closely with teams across the organization to gather requirements, design solutions, and deliver new features.- Troubleshoot, debug, and resolve technical issues- As part of your role, you will investigate and fix any technical issues that may arise, ensuring the smooth functioning of the applications.- Write well-designed, efficient code- Your coding skills will be crucial in producing high-quality, efficient code that meets performance standards.- Stay updated on emerging technologies and industry trends- It is essential for Java Developers to stay up-to-date with the latest technologies and trends in the Java development space.Required Skills and Expectations:- Bachelor's degree in Computer Science, Engineering or related field- 2-4 years of experience in Java development- Proficiency in Java programming language- Solid understanding of object-oriented programming principles- Experience with web services and API integration- Strong problem-solving skills- Excellent communication and collaboration abilities

As a Software Engineer, you will play a crucial role in developing, testing, and maintaining software applications. Your position will require you to collaborate with team members and contribute to various stages of the software development process.Key Responsibilities:- Software Development: You will design and write code for new applications, ensuring that the software meets functional requirements and is user-friendly.- Testing and Debugging: You will create test plans, execute tests, and fix any bugs found in the software. This will help improve product quality and reliability.- Collaboration: You will work closely with other engineers, designers, and product managers to understand project requirements and deliver products on time.- Documentation: You will be responsible for creating and maintaining technical documentation, which helps other developers understand the software and its functions.- Continuous Learning: As a fresh graduate, you will have the opportunity to learn new technologies and improve your skills while contributing to the teams success.Required skills and expectations for this role include:- A Bachelors degree in Engineering (B.E) is mandatory.- Basic knowledge of programming languages such as Java, C++, or Python, and an understanding of software development methodologies.- Strong problem-solving skills and the ability to think critically about software challenges.- Good communication skills to effectively collaborate with team members and convey technical concepts clearly.- A strong willingness to learn and adapt to new technologies and programming techniques as you grow in your role.

We are looking for a Software Developer to join our team in Hyderabad. This is a full-time position ideal for fresh graduates who have completed a Bachelor of Engineering (B.E). The role requires you to work from the office, collaborating with other team members to develop software solutions.Key Responsibilities:- Software Development: Design, develop, and maintain software applications. You will work on coding tasks, creating functional software that meets user needs.- Testing and Debugging: Identify and fix bugs or issues in the software. This involves testing applications thoroughly to ensure they function correctly before deployment.- Collaboration: Work closely with team members and other departments. Effective communication helps in gathering requirements and delivering the desired software features.- Documentation: Maintain clear documentation of software designs and code. This is important for future reference and for other team members who may work on the project later.Required Skills and Expectations:- A Bachelor of Engineering (B.E) degree is essential for this role. This educational background provides the foundational knowledge needed for software development.- Candidates should be eager to learn and adapt quickly to new technologies and practices in software development.- Strong problem-solving skills are crucial. You should be able to analyze problems and find effective solutions.- Good communication skills are important to interact with team members and understand project requirements effectively.

We are looking for a Java Developer to join our team in Hyderabad. This entry-level position is ideal for recent graduates or those with up to one year of experience in software development. As a Java Developer, you will play a key role in developing and maintaining software applications.- Develop Software Applications: You will be responsible for writing, testing, and maintaining code for various software applications using Java, ensuring they are efficient and reliable.- Collaborate with Team Members: You will work closely with other developers, designers, and stakeholders to gather requirements and understand project goals, promoting effective teamwork.- Debug and Troubleshoot Issues: You will diagnose and resolve any software defects or performance issues in existing applications to enhance functionality.- Participate in Code Reviews: You will engage in code review processes, providing constructive feedback to peers and accepting feedback on your code to ensure high-quality standards.- Stay Updated with Technology Trends: You will keep yourself informed about new technologies and programming practices that can improve your development skills and contribute to the team.To succeed in this role, you should have a solid foundation in Java programming and object-oriented design. A degree in B.E. is required. You are expected to be a quick learner, possess good problem-solving skills, and have the ability to work collaboratively in a team environment. Strong communication skills will also be advantageous as you interact with various team members and stakeholders.

Were looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs), solid GenAI and LLM experience, and the ability to work end-to-end on GCP/Azure/AWS based ML solutions including deployment, APIs, and CI/CD. Key Responsibilities Build, train, and optimize ML and GenAI models (RAG, embeddings, LLM integrations) Develop production-grade services using Python + FastAPI Deploy ML workloads on GCP/Azure/AWS Design scalable APIs and lead API integrations Contribute to Cloud Migration and ML platform modernization Implement CI/CD for ML pipelines and microservices Apply OOPS principles for clean, modular design Work collaboratively with Product, Data Engineering, and Infra teams Must-Have Skills Strong hands-on Python GenAI / LLM development FastAPI CI/CD (Jenkins / GitHub Actions) API Development & API Management Solid OOPS fundamentals GCP/Azure/AWS Nice-to-Have Docker / Kubernetes Vector DBs (Pinecone / FAISS / Chroma) Terraform / IaC

We are looking for skilled Gen AI / Agentic AI Engineers and Leads to join our growing AI team. The ideal candidate will have hands-on experience in building, deploying, and scaling Generative AI and Agentic AI solutions using modern LLM frameworks, vector databases, cloud platforms, and MLOps practices. The role involves developing enterprise-grade AI applications, intelligent automation systems, and scalable AI architectures.Key Responsibilities:Design, develop, and deploy Generative AI and Agentic AI applications for enterprise use cases.Build multimodal AI solutions involving text, image, and document processing.Develop and optimize GenAI pipelines, including data preprocessing, model training, evaluation, and deployment.Implement LLM orchestration using LangChain, LlamaIndex, Hugging Face Transformers, AutoGen, and OpenAI APIs.Develop Retrieval-Augmented Generation (RAG) systems with efficient chunking, embeddings, cross-encoders, and hybrid search techniques.Manage and optimize vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, and Milvus.Implement MLOps and LLMOps practices, including CI/CD pipelines, model monitoring, automated testing, and drift detection.Work on prompt engineering and parameter-efficient fine-tuning techniques such as LoRA and QLoRA.Integrate AI models with enterprise systems using REST APIs, GraphQL, Kafka, and microservices architecture.Deploy AI workloads across AWS, Azure, or GCP using Docker, Kubernetes, and serverless technologies.Collaborate with cross-functional teams to develop scalable and production-ready AI solutions.Required Skills & Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.4-8 years of experience in Generative AI, Machine Learning, Software Engineering, or related domains.Strong hands-on experience in Generative AI and Agentic AI development.Proficiency in Python and modern AI/ML frameworks.Strong knowledge of LLMs, RAG architectures, Vector Databases, and Prompt Engineering.Experience with LangChain, LlamaIndex, Hugging Face, AutoGen, or similar frameworks.Experience deploying AI solutions on AWS, Azure, or GCP.Knowledge of scalable AI architecture, enterprise integrations, and microservices.Familiarity with MLOps, LLMOps, CI/CD, Docker, and Kubernetes.Strong problem-solving, analytical, and communication skills.Willingness to work from office 5 days a week.

We are seeking a Cloud Infrastructure Lead to define and drive enterprise-wide cloud strategy across hybrid environments. The role focuses on leading transformation initiatives, ensuring governance and security, and building scalable, high-performing infrastructure aligned with business goals.Key Responsibilities:Define and execute cloud and infrastructure strategy across Azure, AWS, and Microsoft 365Lead architecture design and roadmap planning for hybrid (on-prem + cloud) environmentsOwn cloud transformation and migration programs end-to-endEstablish infrastructure standards, governance policies, and best practicesDrive security, compliance, and risk management in collaboration with security teamsManage identity and access frameworks (Active Directory, Entra ID, SSO, MFA)Ensure system availability, performance optimization, and cost governance (FinOps)Lead vendor management and partner engagementsOversee incident management and escalation (L3 level governance)Drive automation, DevOps adoption, and infrastructure standardizationBuild, mentor, and scale infrastructure teamsAct as a key interface between business and technology stakeholdersRequired Skills & Qualifications:8-10 years of experience in IT infrastructure and cloud environmentsProven experience in leading cloud strategy and transformation initiativesStrong expertise in enterprise infrastructure (Windows Server, Active Directory, networking)Deep understanding of hybrid and multi-cloud architecturesHands-on experience with Azure, AWS, and Microsoft 365Experience in governance, cost optimization, and large-scale cloud migrationsFamiliarity with DevOps practices and Infrastructure as Code (IaC)Strong leadership, stakeholder management, and decision-making skillsPreferred:Experience in consulting, managed services, or large enterprise environmentsExposure to security frameworks and compliance standardsCloud certifications (Azure/AWS - Architect level preferred)

DevSecOps ArchitectExperience: 9-14 YearsLocation: BangaloreJob OverviewWe are hiring a DevSecOps Architect to design and implement secure, scalable DevOps environments with security integrated throughout the software development lifecycle.Key ResponsibilitiesDesign enterprise DevSecOps architecture and security frameworks.Integrate security controls across CI/CD pipelines and cloud environments.Implement automated security testing, vulnerability scanning, and compliance checks.Define infrastructure, container, and application security standards.Work with DevOps, Cloud, Development, and Security teams.Implement security automation and shift-left security practices.Review architecture for security, scalability, and performance.Drive DevSecOps best practices, governance, and technical standards.Key SkillsDevSecOps, DevOps, CI/CD, AWS, Azure, Kubernetes, Docker, Terraform, Jenkins, GitLab, Security Automation, SAST, DAST, SCA, Cloud Security, Vulnerability Management, IAM

Cloud Solution ArchitectExperience: 9-12 YearsLocation: BangaloreJob OverviewWe are hiring a Cloud Solution Architect to design scalable, secure, and highly available cloud solutions aligned with business and technology requirements.Key ResponsibilitiesDesign end-to-end cloud architecture and solution frameworks.Define cloud migration, modernization, and integration strategies.Work with development, infrastructure, security, and DevOps teams.Design scalable and cost-optimized cloud environments.Ensure security, availability, performance, and compliance.Evaluate cloud technologies and recommend suitable solutions.Provide technical leadership and architecture guidance.Create architecture documents, standards, and technical roadmaps.Key SkillsCloud Architecture, Solution Architecture, AWS, Azure, GCP, Cloud Migration, Microservices, Kubernetes, Docker, DevOps, API, Security, Networking, High Availability, Disaster Recovery, Infrastructure as Code

Databricks Developer Experience: 6-10 YearsLocation: BangaloreHiring Company: Talent Zone ConsultantBrief JD:We are hiring a Databricks Developer with strong experience in data engineering, ETL development and building scalable data pipelines using Databricks and Apache Spark. The role involves data processing, transformation, integration and cloud-based data solutions.Key ResponsibilitiesDevelop scalable data pipelines using Databricks and PySpark.Build ETL/ELT workflows for structured and unstructured data.Work with Delta Lake, Spark SQL and Azure/AWS data services.Develop data transformations and optimize Spark jobs.Integrate data from multiple source systems.Perform data validation, quality checks and troubleshooting.Implement CI/CD and version control for data engineering solutions.Collaborate with data architects, analysts and business teams.Monitor and optimize data pipeline performance.Relevant SkillsetDatabricks, PySpark, Apache Spark, Python, Spark SQL, Delta Lake, ETL, ELT, Data Engineering, Azure, AWS, SQL, Data Pipelines, Data Warehouse, CI/CD, Git

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS