Cloud Engineer Jobs in India

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

Work Locations: Bangalore Work Mode: Hybrid Experience: 8+ Years GCP Experience: 5+ Years - MandatoryWe are looking for an experienced Senior GCP Cloud Security Specialist to lead cloud security architecture, governance, compliance, cloud hardening, and secure infrastructure automation across Google Cloud environments. Mandatory Skills: GCP - Mandatory 5+ years hands-on GCP experience GCP Cloud Security Cloud Security Architecture Terraform DevSecOps Cloud Governance & Security Controls Compliance, Risk & Audit Support Key Responsibilities: Lead security architecture reviews, security assessments, and cloud hardening across GCP environments. Design and implement secure GCP landing zones, governance controls, and enterprise security guardrails. Strengthen identity security, access management, data protection, and cloud-native security controls. Implement and automate secure infrastructure deployments using Terraform. Integrate security controls into CI/CD pipelines and drive DevSecOps practices. Support cloud service certification, security control mapping, evidence collection, audit readiness, and security approvals. Collaborate with Architecture, Engineering, Security, Risk, and Compliance teams. Support cloud security governance, regulatory compliance, risk management, and audit activities. Industry Experience:Candidates with experience in Financial Services / Banking / Capital Markets / Insurance are highly preferred.Experience working within highly regulated environments and supporting regulatory-driven cloud programs is a strong advantage. Preferred Qualifications: Google Professional Cloud Security Engineer certification Experience supporting Tier-1 financial institutions Cloud service onboarding, certification, and security sign-off experience Experience with regulatory-driven cloud transformation programs

Required QualificationsBachelor's Degree in Computer Science, Information Technology, Electronics, or a related field.Basic knowledge of Windows/Linux operating systems.Understanding of networking concepts such as TCP/IP, DNS, DHCP, and LAN/WAN.Familiarity with hardware troubleshooting and system administration.Strong analytical and problem-solving skills.Good verbal and written communication skills.

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.

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.

Must have experience: - Experience in programming languages such as JavaScript (Node.js) and TypeScript Experience working with complex data structures Experience in GraphQL API design and development. Experience with Terraform for Infrastructure as Code (IaC). Experience in RESTful API design and development Experience in working with SOAP APIs and XML Familiar with the concepts of feature toggling Proficient in using Git for version control. Experience with writing unit tests, integration tests, end to end tests, API contract and performance tests Experience with Continuous integration tooling such as GitHub workflows, Jenkins pipelines etc Experience with building Cloud native applications on AWS and familiar with AWS services such as: o S3 o AppSync o Lambda o Certificate Manager o Key Management System o WAF & Shield o IAM o CloudWatch o API Gateway o Secrets Manager

As an AWS Cloud Engineer, you will play a crucial role in managing and enhancing cloud-based services. Your work will involve developing solutions to improve reliability and scalability for various applications hosted on AWS. Key Responsibilities:- Cloud Infrastructure Management: You will manage and maintain AWS cloud infrastructure, ensuring that all services are running optimally and securely.- Deployment and Monitoring: You will assist in deploying applications and services on AWS, while also monitoring their performance to ensure they meet business requirements.- Troubleshooting Issues: When problems arise, you will diagnose and resolve cloud infrastructure issues, minimizing downtime and ensuring optimal performance.- Collaboration with Teams: You will work closely with development and operations teams to understand cloud needs and design solutions that support their objectives.- Documentation and Reporting: You will document configurations, processes, and solutions to maintain clear and accessible records for future reference.Required Skills and Expectations:You should have a degree in Engineering (B.E) or an advanced diploma, along with 0 to 6 years of relevant experience. A solid understanding of AWS services such as EC2, S3, and CloudFormation is essential. Familiarity with scripting languages, like Python or Bash, will be beneficial for automation tasks. You should possess strong problem-solving skills and the ability to communicate technical concepts effectively. A commitment to learning and adapting to new technologies in cloud computing is important. This role requires you to work full-time from our office in Coimbatore.

Senior AI Engineer Job RequirementsExperience: 5 - 8 yearsNo. of Positions: 4Budget: 1,25,000/- Per monthPrimary SkillsAI/MLsuch as AWS/Azure/GCP Solutions Architect TO GAF Certified Kubernetes Administrator with exposure to Lean Six SigmaJob DescriptionAbout the roleWe are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.What You Bring You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions. You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go. You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms. You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud. You understand APIs, microservices, distributed systems, containerization, and modern integration patterns. You have experience using AI-assisted development tools and engineering productivity accelerators. You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution. You understand secure engineering principles, data privacy considerations, and enterprise governance expectations. You are a structured problem solver with strong communication and stakeholder management skills.Good to have skills / qualifications Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments. Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices. Experience working within banking, fintech, payments, or other highly regulated industry environments. An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline. Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage. Experience leading engineering transformation, automation initiatives, or enterprise modernization programs. Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.

We are looking for a skilled DevOps Engineer with 6 to 12 years of experience to join our team in Bangalore. In this full-time role, you will collaborate with software developers and system operators to streamline processes for the development, deployment, and maintenance of applications.Key Responsibilities:- Automation of Processes: Design and implement automation tools to improve development workflows, ensuring consistency and reducing manual effort in deployments.- Continuous Integration and Deployment (CI/CD): Set up CI/CD pipelines that allow for quick and reliable code integration and deployment, enhancing the speed of development cycles.- Monitoring and Performance Optimization: Monitor system performance and troubleshoot any issues that arise, ensuring high availability and efficiency of applications in production.- Collaboration with Development Teams: Work closely with developers to understand their needs and help design infrastructure that supports smooth software deployment and scaling.- Security Management: Implement security measures and monitor compliance protocols to safeguard infrastructure and protect sensitive data.Required Skills and Expectations:The ideal candidate should possess strong expertise in automation tools like Jenkins, Docker, or Kubernetes. Proficiency in scripting languages such as Python or Bash is essential. A solid understanding of cloud platforms (AWS, Azure, or Google Cloud) and infrastructure as code (IaC) tools, like Terraform, is important. Excellent problem-solving skills and the ability to work collaboratively in a team setting are crucial. Candidates should demonstrate strong communication skills and a commitment to continuous learning and improvement in DevOps practices.

We are seeking a skilled Full Stack Developer to join our team in Kolkata. The ideal candidate should have minimum 2 years of experience and a strong coding skill in developing independently. This is a full-time, office-based position.Key Responsibilities:- Full Stack Development: Build, test, and maintain mobile and web applications using various technologies. You will be responsible for both the front-end and back-end components, ensuring smooth integration and functionality.- Database Management: Design and manage databases. You will work with data modeling and database optimization to enhance performance and ensure data security.- Collaboration: Work closely with designers and other developers. Your role will involve engaging in team meetings to contribute ideas and solutions, fostering a collaborative environment.- Bug Fixing and Maintenance: Identify and resolve issues in existing applications. You will actively monitor system performance and make improvements when necessary.Required Skills and Expectations:The ideal candidate should have proficiency in languages such as JavaScript, NextJS, React / React Native and CSS for front-end development, along with experience in server-side languages like Node.js, NestJs (Must to know), Golang (Optional) and Python (Must to know). Familiarity with database management systems like Postgresql or MongoDB is essential. Strong problem-solving skills and the ability to communicate effectively are essential, as you will be working in a team-oriented environment. A proactive attitude towards learning new technologies and methodologies is expected.Nice to have -1) Ability to do UX design using Figma.2) Devops knowledge to deploy in cloud (like AWS, GCP etc) using Terraform, Helm3) CI/CD knowledge like Github actions, Jenkins etc4) Experience in Blockchain related technology.

Job Title: QA Engineer (Automation / Database Testing)Work Mode:Remote: Permanent & 9-Month Contract positions availableHybrid: 3 days Work From OfficeJob Summary:We are looking for a skilled QA Engineer with strong expertise in automation and database testing. The ideal candidate should have hands-on experience in writing complex SQL queries, working with automation frameworks, and exposure to cloud platforms.Key Responsibilities:Perform database testing with strong SQL knowledgeWrite and execute complex SQL queries for data validationDevelop and maintain automation test scriptsWork on test automation using modern tools and frameworksCollaborate with cross-functional teams to ensure product qualityValidate applications hosted on cloud platformsMandatory Skills:Strong experience in SQL (must-have)Automation testing experience (must-have)Proficiency in Python or JavaHands-on experience with Playwright or SeleniumExperience in database testingExposure to any cloud platform (AWS, Azure, GCP, etc.)Nice to Have:Experience in end-to-end test automation frameworksKnowledge of CI/CD pipelines

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Design, build, and maintain ETL/ELT data pipelines and data lake solutions to support analytics and AI/ML use cases. Ensure data quality, performance, and reliability across enterprise data platforms.Key ResponsibilitiesPipeline DevelopmentData Lake EngineeringPerformance & OptimizationCollaboration & SupportRequired Skills & Experience 4+ years of experience in data engineering or ETL development. Proficiency in SQL and Python (or Scala/Java) for data transformations. Hands-on with ETL tools (Informatica, Talend, dbt, SSIS, Glue, or similar). Exposure to big data technologies (Hadoop, Spark, Hive, Delta Lake). Familiarity with cloud data platforms (AWS Glue/Redshift, Azure Data Factory/Synapse, GCP Dataflow/BigQuery). Understanding of workflow orchestration (Airflow, Oozie, Prefect, or Temporal).Preferred Knowledge Experience with real-time data pipelines using Kafka, Kinesis, or Pub/Sub. Basic understanding of data warehousing and dimensional modeling. Exposure to containerization and CI/CD pipelines for data engineering. Knowledge of data security practices (masking, encryption, RBAC).Education & Certifications Bachelors degree in Computer Science, IT, or related field.Preferred certifications:o AWS Data Analytics Specialty / Azure Data Engineer Associate / GCP Data Engineer.o dbt or Informatica/Talend certifications.

Location: Noida Sector 142 (Work From Office)Experience: 510 YearsOpenings: 2CTC: Up to 1213 LPAJoining: ImmediateRole SummaryWe are hiring Full Stack Developers (.NET Core + Flutter) to work on Shipskart Enterprise, a B2B SaaS platform for the maritime and supply chain industry. The role involves end-to-end development across backend microservices and cross-platform frontends.Key ResponsibilitiesDevelop and maintain backend services using .NET Core & EF CoreBuild cross-platform UI using Flutter (Web/Mobile/Desktop)Design and consume RESTful APIs and microservicesWork with PostgreSQL & MongoDBCollaborate on architecture, code reviews, testing, and deploymentsTroubleshoot and resolve production issuesRequired Skills510 years overall experience; 3+ years in .NET CoreExperience with Enterprise SaaS / Multi-Tenant platformsStrong skills in C#, EF Core, LINQProficiency in Flutter & DartExperience with REST APIs, Microservices, Git, Docker, CI/CDKnowledge of JWT/OAuth and clean architectureNice to HaveKubernetes, Cloud (AWS/Azure/GCP)Message brokers (RabbitMQ/Kafka)DDD / CQRS exposure

About the Role:We are looking for a passionate and enthusiastic Flutter Developer to join our dynamic team. As a fresher, you will work closely with experienced developers to design, build, and maintain mobile applications using Flutter. This role is an excellent opportunity to kickstart your career and grow in a supportive and innovative environment.________________________________________Key Responsibilities: Design and develop user interfaces using Flutter widgets while ensuring responsiveness and performance. Implement state management solutions (Provider, Riverpod) for seamless app functionality. Integrate RESTful APIs and handle backend interactions. Utilize Firebase services such as Authentication, Firestore, and Cloud Functions to build scalable apps. Collaborate with team members to debug, test, and optimize app performance. Work with Git for version control and project collaboration. Ensure apps are compatible across multiple devices and platforms with responsive design techniques. Assist in basic native platform integration for both iOS and Android. Develop problem-solving skills and contribute to team success through collaboration and creativity.________________________________________Qualifications and Skills: Strong knowledge of Dart programming language and Flutter framework. Familiarity with state management techniques (Provider, Riverpod, etc.). Basic understanding of RESTful APIs and backend integration. Knowledge of Firebase services (Authentication, Firestore, Cloud Functions). Proficiency with version control tools like Git. Understanding of debugging and testing tools in Flutter. Awareness of responsive design principles and best practices. Basic knowledge of native platform integration (iOS and Android). Excellent problem-solving skills and ability to work collaboratively in a team.________________________________________Preferred Skills: Familiarity with Agile/Scrum methodologies. Basic understanding of Material Design and Cupertino design guidelines. Hands-on experience with small personal or academic Flutter projects.

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

Required Qualifications : 3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc. Google Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc. Experience with Hadoop Ecosystem, Kafka, PCF cloud services Familiar with big data and machine learning tools and platforms Experience with BI tools, such as Alteryx, Data Stage, QlikSense, etc. Design data pipelines and data robots, take a vision and bring it to life Master data engineer; mentors others; works closely with IT architects to set strategy and design projects Provide extensive technical, and strategic advice and guidance to key stakeholders around the data transformation efforts Redesign data flows to prevent recurring data issues Strong analytical and problem-solving skills Possess excellent oral and written communication skills, as well as facilitationand presentation skills, and engaging presentation style. Ability to work as a global team member, as well as independently, in achanging environment and prioritize. Ability to establish and maintain coordinated and effective working relationships with application implementation teams, IT project teams, business customers, and end users. Ability to deliver work within deadlines. Experience with agile/lean methodologies Experience working independently and with minimal supervision Experience with Test Driven Development and Software Craftsmanship Experience with GitHub, Accurev, or other version-control systems Experience with Putty Experience with Datastage Strong Communications skills Ability to illustrate and convey ideas and prototypes effectively with team and partners Presence demonstrating confidence, ability to learn quickly, influence, and shape ideas Key Skills Required - Data Engineer- Python / PySpark / Scala- SQL & Hive- Hadoop Ecosystem- Data Pipeline Design & ETL Development- Google Cloud Platform (BigQuery, Dataproc, Dataflow, Cloud Storage)- Kafka / Streaming Data Processing- Terraform (Infrastructure as Code)- DataStage or Similar ETL Tools- Version Control (GitHub or equivalent)- Agile Methodologies- Strong Analytical & Problem-Solving Skills- Stakeholder Collaboration & CommunicationNice to Have:- Cloud Composer, Cloud SQL, Pub/Sub- BI Tools (Alteryx, QlikSense)- Machine Learning Platform Exposure- Test Driven Development (TDD)- Mentoring & Technical Leadership

We are seeking an experienced Data Engineer to join our team in Chennai. In this role, you will work with large datasets and develop systems for data storage and processing. You will be responsible for building and maintaining data pipelines that ensure data is accessible and reliable, enabling informed decision-making across the organization.Key Responsibilities:- Data Pipeline Development: Design and implement scalable data pipelines to efficiently extract, transform, and load data from various sources into databases and data warehouses.- Database Management: Manage and optimize database systems for performance and reliability, ensuring that data is stored securely and efficiently.- Collaboration with Teams: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide necessary data solutions.- Data Quality Assurance: Monitor data quality and integrity, performing regular checks and troubleshooting issues to ensure accuracy and reliability of data.- Documentation: Create and maintain clear documentation for data systems and processes to facilitate knowledge sharing and system maintenance.Required Skills and Expectations:The ideal candidate should have 8 to 11 years of experience in data engineering. Proficiency in SQL and experience with ETL tools are essential. Familiarity with programming languages such as Python or Java is expected. You should possess strong problem-solving skills and be able to work collaboratively in a team-oriented environment. A good understanding of data warehousing concepts and a commitment to maintaining high data quality standards are also necessary for success in this role.

We are seeking an experienced DevOps Engineer with 9 to 13 years of experience to join our team in Bangalore or Hyderabad. The ideal candidate will play a critical role in our software development and operations, focusing on streamlining processes, enhancing system reliability, and ensuring efficient deployment practices.Key Responsibilities:- Continuous Integration and Deployment (CI/CD): Design and implement CI/CD pipelines to automate software build, test, and deployment processes, ensuring faster and more reliable releases.- Infrastructure Management: Manage and maintain cloud infrastructure, ensuring it is scalable, secure, and cost-effective while implementing infrastructure as code practices.- Monitoring and Performance Tuning: Set up monitoring systems to track application and infrastructure performance, troubleshooting issues and tuning systems proactively to enhance reliability.- Collaboration Across Teams: Work closely with development, QA, and IT teams to ensure smooth transitions from development to production, fostering a collaborative environment.- Security Best Practices: Implement security measures in the deployment pipeline to protect applications and data, adhering to compliance standards.- Documentation and Training: Create and maintain documentation for processes and systems, while also mentoring junior team members to spread knowledge within the team.Required Skills and Expectations:The ideal candidate must have a strong understanding of DevOps tools and practices, including proficiency in automation tools like Jenkins, Docker, and Kubernetes. Experience with cloud platforms such as AWS, Azure, or Google Cloud is essential. Strong scripting skills in Python, Bash, or similar languages are expected. Additionally, familiarity with configuration management tools like Ansible or Puppet is a plus. Excellent problem-solving skills and the ability to work in a fast-paced environment are crucial for success in this role.

Key Responsibilities: Cloud EngineerDesign, implement, and manage CI/CD pipelinesAutomate deployments and infrastructure using tools like Terraform/AnsibleMonitor system performance and ensure high availabilityRequirements:Experience with AWS/AzureKnowledge of Docker, Kubernetes, and scriptingStrong problem-solving skillsBrief Summary:Responsible for automating and optimizing cloud infrastructure and deployment processes.

We are looking for a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), Apache Beam/Dataflow, Java, and BigQuery. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and cloud-based data processing solutions for enterprise applications. Key Responsibilities Design and develop scalable ETL/ELT pipelines using GCP services. Build and maintain real-time and batch data processing pipelines using Dataflow and Apache Beam. Develop robust backend processing solutions using Java. Work extensively with BigQuery for data warehousing, analytics, and performance optimization. Integrate data from multiple sources including APIs, databases, and streaming platforms. Optimize pipeline performance, cost, scalability, and reliability on GCP. Collaborate with cross-functional teams including Architects, Analysts, DevOps, and Business stakeholders. Ensure data quality, governance, monitoring, and security best practices. Troubleshoot production issues and provide long-term scalable solutions. Required Skills Strong hands-on experience with GCP services. Expertise in Google Dataflow / Apache Beam. Strong programming skills in Java. Hands-on experience with BigQuery. Experience in building batch and streaming data pipelines. Good knowledge of SQL and data modeling concepts. Experience with CI/CD, Git, and Agile methodologies. Strong problem-solving and debugging skills. Good to Have Experience with Pub/Sub, Cloud Composer, Cloud Storage, Dataproc, or Kafka. Exposure to Python or Spark. Experience in handling large-scale enterprise data platforms. Preferred Qualifications Bachelors/Masters degree in Computer Science, Engineering, or related field. GCP certifications are an added advantage.