AWS Cloud Engineer Jobs

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.

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.

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.

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.

Job Location: KochiWork Mode: Work from OfficeExperience: 3-5 YearsEmployment Type: Full-TimeJob DescriptionWe are looking for a Senior Python Engineer with 3-5 years of hands-on experience in Python development to design and build scalable backend services, REST APIs, data pipelines, and data-driven applications. The role involves working with modern Python frameworks, databases, cloud platforms, and data-processing technologies. The candidate will also mentor 2-3 junior developers and support task planning, technical guidance, and project delivery.Key Responsibilities:Develop scalable backend services using Python, FastAPI, and Flask.Design and integrate REST APIs for business applications.Build data pipelines using Python, SQL, and PySpark.Work with PostgreSQL and SQL Server databases.Develop data-driven and intelligent product features.Use pandas for data processing and analysis.Work with Redis for caching and performance optimization.Deploy and manage applications using Docker and CI/CD.Work with AWS or Azure cloud platforms.Use Git for version control and collaborative development.Mentor and guide 2-3 junior developers.Support task planning, code reviews, troubleshooting, and delivery.Follow best practices for coding, security, scalability, and system design.Preferred Skills:Experience with both FastAPI and Flask.Experience in building data-driven applications.Knowledge of cloud-based application deployment.Experience with GitHub Actions or GitLab CI.Understanding of application performance, scalability, and system design.

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.

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 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.

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.

We are looking for a DevOps Engineer who will help us streamline our operations and improve the efficiency of our development processes. This role is ideal for individuals with a range of experience, from fresh graduates to those with a few years in the field.Key Responsibilities:- Manage Infrastructure: Set up and maintain servers, networks, and other infrastructure to ensure systems run smoothly and efficiently.- Automation: Develop scripts and tools to automate repetitive tasks, helping to save time and reduce errors in processes.- Continuous Integration and Delivery (CI/CD): Implement and manage CI/CD pipelines to enable rapid and reliable software releases.- Monitoring and Logging: Use various monitoring tools to keep track of system performance and log data to quickly identify and resolve issues.- Collaboration: Work closely with developers and other IT staff to facilitate smooth and efficient software development and deployment.- Security: Help ensure that security best practices are followed in all deployments and that sensitive data is protected.Required Skills and Expectations:Candidates should have a basic understanding of programming and scripting languages like Python, Bash, or similar. Familiarity with cloud services like AWS, Azure, or Google Cloud is a plus. Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes is beneficial. Strong problem-solving skills and a willingness to learn new technologies are essential. Good communication skills are also important, as you will work with different teams to achieve common goals. A background in fields such as B.C.A, B.B.A, B.Com, B.Sc, or B.E is preferred.

As a DevOps Engineer, you will play a crucial role in bridging the gap between development and operations teams. You will be responsible for implementing and managing infrastructure and processes that support software development, ensuring that applications run smoothly and efficiently.Key Responsibilities:- Automation of Deployment Processes: You'll design and implement automated deployment pipelines to streamline the application release process, reducing the time it takes to put new code into production.- Monitoring and Performance Tuning: Your role will involve monitoring application performance and infrastructure health, proactively identifying areas for improvement to ensure optimal performance.- Collaboration with Development Teams: You will work closely with software developers to understand their requirements and provide tools and environments that support the development process.- Configuration Management: You'll manage configuration files and ensure that environments are consistently set up, enabling faster and error-free deployments.- Troubleshooting Issues: When problems arise, you'll be responsible for diagnosing and fixing issues in production systems, ensuring minimal downtime.To be successful in this role, candidates should have a solid understanding of DevOps principles and practices. Proficiency in scripting languages such as Python or Bash is essential. Familiarity with CI/CD tools (like Jenkins or GitLab CI) and experience with cloud platforms (such as AWS or Azure) is highly valuable. Additionally, having practical knowledge of containerization technologies like Docker will be beneficial. Strong problem-solving skills and the ability to work collaboratively within a team are necessary.

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.

Intelligent Automation Engineer role in Bengaluru! Hybrid, 20 LPA, immediate joiners only. Work with GenAI, LLMs, NLP, MLOps, Blue Prism, AWS & Python.

About Talentica Software-Talentica Software, one of the most promising Product-Dev companies in the Indian.As a key player of the product-dev organization of Talentica Software, you will play an Integral role in our growth strategy. You will manage their product-vision and goals using your expertise and some of the coolest technologies. Experience Greenfield development - see a product from concept to going live - turn ideas to success!We are looking for a passionate and detail-oriented Software Engineer - Security to join the CDP Data Engineering organization. This role is focused on identifying, analyzing, and fixing security vulnerabilities (CVEs) by developing a deep understanding of underlying architectures and interactions across multiple platform componentsAs a Software Engineer- Security you will.Security Engineering & CVE Remediation Analyze, prioritize, and remediate security vulnerabilities (CVEs) across the CDE stack and its dependent components. Understand vulnerability root causes by diving deep into platform architecture, dependencies, and third-party libraries. Design and implement secure fixes that minimize functional and performance impact while maintaining backward compatibility.Platform & Architecture Understanding Gain working knowledge of the CDE architecture, including Spark and Airflow components. Implement and validate security fixes across relevant services and components. Review code and changes with security considerations in mind. Work closely with Product Security, Release, and Quality teams to deliver fixes on time. Help ensure fixes are release-ready and upstream dependencies are consumed safely.Were Excited About You If You Have Experience 4+ years of experience as a software engineer working on backend, platform,infrastructure, or security-related systems.Security & Systems Knowledge Hands-on experience or strong interest in vulnerability analysis, CVE remediation, or secure software development. Understanding of common security issues in distributed systems, cloud-native platforms, or open-source software.Programming Skills Strong foundations in data structures, algorithms, and systems or object-oriented programming. Proficiency in one or more of: Java/Golang (must), PythonCloud & Containers Experience or strong working knowledge of Docker, Kubernetes, and cloud environments such as AWS, Azure, or GCP. Understanding of container security, dependency management, and runtime isolation is a plus.Education Bachelors or Masters degree in Computer Science or a related field, or equivalent practical experience.You May Also Have (Preferred Qualifications) Exposure to CI/CD pipelines and modern development workflows Experience working with Product Security or vulnerability management processes. Familiarity with CVSS scoring, KEV prioritization, or security advisories. Contributions to open-source projects or security fixes. Exposure to technologies such as Apache Spark, Hadoop, Airflow, or similar platforms is a strong plus

Your Role and Responsibilities Work with the infrastructure team and provide expert advice on securing our use of Azure cloud and AWS services, Kubernetes and containers in particular, provide guidance and a level of oversight for Azure and AWS network security and Key Vault Encourage a shift-left approach to security Assist the Security Architect with securing our Data Platform, including our use of Databricks and synapse Collaborate with wider tech and security teams on the implementation and operation of a robust Customer Identity and Access Management (CIAM) service Document security processes and security tool low-level design/configuration; Contribute to the development of security service delivery and operation documentation Assist technology teams with integrating their systems and services with security services and tools Assist Security Operations with investigating cloud incidents Support the security and application security engineers and wider security team with their various responsibilities, including achieving and maintaining ISO 27001 Certification and threat modelling activities Skills & Experience: Professional certification such as AZ-500: Microsoft Azure Security, Microsoft Azure Architect Technologies, AWS Certified Security Specialty, AWS Certified Solutions Architect At least 8 years of experience in Security engineering roles At least 3 years of experience in AWS and Azure Cloud Security Practical experience with and exposure to, crafting and implementing security best practices within a Cloud deployment such as AWS Well Architected Framework and Azure Well-Architected Framework Strong background in security fundamentals in Linux, Networking and Cryptography Very good understanding of IAM Policies and cloud roles & responsibilities. Experience with Cloud Security Posture Management Platform/Cloud Workload Protection Platform such as Azure Security Centre, Checkpoint CloudGuard. Knowledge of MITRE ATT&CK

Responsibilities: Designing and implementing data pipelines to collect, clean, and transform data from various sources Building and maintaining data storage and processing systems, such as databases, data warehouses, and data lakes Ensuring data is properly secured and protected Developing and implementing data governance policies and proceduresCollaborating with business analysts, data analysts, data scientists, and other stakeholders to understand their data needs and ensure they have access to the data they need Sharing knowledge with the wider business, working with other BAs and technology teams to make sure processes and ways of working is documented. Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems. Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards. Participate in day-to-day project and agile meetings and provide technical support for faster resolution of issues. Clearly and concisely communicating to the business, on status of items and blockers. Have an end-to-end knowledge of the data landscape within the company. Skills & Experience: 10+ years of design & development experience with big data technologies like Azure, AWS or GCP Preferred is Azure & Databricks, with experience in Azure DevOps Experience in data visualising technology in DL, like PowerBI Proficient in Python, PySpark and SQL Proficient in querying and manipulating data from various DB (relational and big data). Experience of writing effective and maintainable unit and integration tests for ingestion pipelines. Experience of using static analysis and code quality tools and building CI/CD pipelines. Excellent communication, problem-solving, and leadership skills, and be able to work well in a fast-paced, dynamic environment.

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

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.

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.

Software Engineer required for Pune.

As an Application Support Engineer, you will play a critical role in ensuring the smooth operation of our software applications. You will work closely with users to resolve issues and enhance their experience. Your problem-solving skills and technical knowledge will be essential for success in this position.Key Responsibilities:- Application Monitoring: You will continuously monitor applications to identify potential issues before they affect users.- Issue Resolution: When users encounter problems, you will diagnose and resolve these issues promptly to minimize disruption.- User Support: Provide technical support to users, guiding them through troubleshooting steps and answering their questions.- System Maintenance: Regularly assist in maintaining and updating applications to ensure optimal performance and security.- Documentation: Create and update documentation related to support processes, common issues, and solutions for future reference.- Collaboration: Work closely with development teams to communicate user feedback and help improve application features.Required Skills and Expectations:You should have 3 to 6 years of experience in application support or a similar role. Strong troubleshooting skills are essential, along with a good understanding of software applications and their functionalities. Familiarity with databases and programming languages will be beneficial. Effective communication skills are necessary to interact with both technical and non-technical users. A proactive approach to problem-solving and a willingness to learn new technologies are expected in this 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.

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