Job Title: Senior Zoho Developer Location: Chennai (Work from Office) Experience: 5+ Years Employment Type: Full-time Notice Period: Immediate / Short Notice Preferred Job Summary: We are looking for a highly skilled and self-driven Senior Zoho Developer with a strong background in Zoho Creator, custom application development, and interactive dashboard building. The ideal candidate should have proven experience working with IT services/consulting clients, excellent understanding of API integrations, and strong business requirement gathering skills. Key Responsibilities: • Design, develop, and deploy custom applications using Zoho Creator. • Create and manage interactive dashboards tailored for business operations and client reporting. • Integrate Zoho applications with third-party systems using APIs and web services. • Work closely with internal stakeholders and business users to gather and analyze requirements. • Ensure optimal performance, scalability, and security of applications. • Provide ongoing support, enhancements, and documentation of Zoho solutions. • Collaborate cross-functionally with project managers, business analysts, and technical teams. Key Requirements: • Minimum 5 years of experience in Zoho development. • Strong expertise in Zoho Creator, Zoho Analytics, Deluge scripting, and other Zoho suite tools. • Hands-on experience in custom app development and dashboard creation. • Solid understanding of REST APIs and integration methods. • Excellent requirement gathering and communication skills. • Experience working with IT services or consulting clients is preferred. • Must be willing to work 100% from the Chennai office. Interview Process: • Level 1: Virtual Discussion • Level 2 & 3: In-person Interview at Chennai office
Role & responsibilities Job Description: Role : Full Stack Developer Skill Set : React, Node.js, HTML, CSS, Javascript and Insurance Domain experience Location : Chennai Shift : Normal Notice : Immediate Key Responsibilities • Lead full-stack web-based application development for various components of Amgen's regulatory submission capabilities. • Take ownership of complex software projects from conception to deployment. • Provide technical guidance and mentorship to junior developers. • Contribute to both front-end and back-end development using cloud technology. • Develop innovative solutions using generative AI technologies. • Conduct code reviews to ensure code quality and adherence to best practices. • Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. • Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time Preferred candidate profile
Role Overview Were seeking a highly seasoned Solution Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in designing data and AI infrastructure tailored to AdTech use cases. You'll be pivotal in building scalable, performant, and privacycompliant systems to support realtime bidding, campaign analytics, customer segmentation, and AIdriven personalization. Key Responsibilities Architect and lead GCPnative solutions for AdTech: realtime bidding (RTB/OpenRTB), campaign analytics, lookalike modeling, and audience segmentation. Design highthroughput data pipelines, eventdriven architectures, and unified audience data lakes leveraging GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer (Airflow), Dataplex , Vertex AI / AutoML , Cloud Functions , Cloud Run , GKE , Looker , and Apigee Collaborate with ad ops, marketing, and product stakeholders to translate business goals into architecture roadmaps, lead discovery workshops, solution assessments, and architecture reviews in presales and delivery cycles nexusitgroup.comSmartRecruiters. Integrate with thirdparty AdTech/MarTech platforms including DSPs, SSPs, CDPs, DMPs, ad exchanges , identity graphs, and consent/identity resolution systems (e.g. LiveRamp, The Trade Desk, Google Ads Data Hub). Ensure architecture aligns with GDPR, CCPA , IAB TCF and data privacy regulations—support consent management, anonymization, encryption, and access controls. Lead multidisciplinary technical teams (Data Engineering, MLOps, Analytics), enforce best practices in data governance, CI/CD, and MLOps (via Cloud Build , Terraform, Kubeflow/Vertex AI pipelines). Mentor engineers, run architecture reviews, define governance, cost optimization, security strategy and system observability. Conduct handson prototyping and PoCs to validate AI/ML capabilities, rapid experimentation before fullscale implementation Machine Learning Jobs. Tech Stack Expertise & Qualifications 15+ years in technical architecture, consulting, or senior engineering roles (preferably with majority in data & analytics); at least 5+ years handson with GCP architectures Indepth knowledge and handson experience of: GCP data and analytics stack: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Dataplex, Cloud Storage AI/ML on GCP: Vertex AI, AI Platform, AutoML , model deployment, inference pipelines Compute frameworks: Cloud Functions , Cloud Run , GKE , Apigee Business intelligence and visualization: Looker Infrastructure as code: Terraform ; CI/CD pipelines: Cloud Build , Git-based workflows Skilled in Python and SQL ; familiarity with Java or Scala is a plus. Experience designing eventdriven architectures, streaming data pipelines, microservices , and APIbased integrations. Proven AdTech domain expertise: programmatic advertising, RTB/OpenRTB, identity resolution, cookieless frameworks, DMPs/CDPs data flows . Proven experience with data governance, encryption, IAM, PII anonymization , privacy-enhancing tech. Strong ability to code prototypes or PoCs to solve client challenges quickly, with high-quality architectural foundations Excellent communication skills, able to clearly present complex designs to both technical and nontechnical audiences.
Solution Architect Data & AI (GCP + AdTech Focus) Experience : 10+ Years Employment Type: Full Time Role Overview: We are seeking a highly experienced Solution Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in architecting data and AI solutions for the AdTech industry. This role will be pivotal in designing scalable, real-time, and privacy-compliant solutions for programmatic advertising, customer analytics, and AI-driven personalization. The ideal candidate should blend strong technical architecture capabilities with deep domain expertise in advertising technology and digital marketing ecosystems. Key Responsibilities: Architect and lead GCP-native data and AI solutions tailored to AdTech use cases—such as real-time bidding, campaign analytics, customer segmentation, and look alike modeling. Design high-throughput data pipelines, audience data lakes, and analytics platforms leveraging GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, etc. Collaborate with ad operations, marketing teams, and digital product owners to understand business goals and translate them into scalable and performant solutions. Integrate with third-party AdTech and MarTech platforms, including DSPs, SSPs, CDPs, DMPs, ad exchanges, and identity resolution systems. Ensure architectural alignment with data privacy regulations (GDPR, CCPA) and support consent management and data anonymization strategies. Drive technical leadership across multi-disciplinary teams (Data Engineering, MLOps, Analytics) and enforce best practices in data governance, model deployment, and cloud optimization. Lead discovery workshops, solution assessments, and architecture reviews during pre-sales and delivery cycles. GCP & AdTech Tech Stack Expertise: BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Composer (Airflow), Vertex AI, AI Platform, AutoML, Cloud Functions, Cloud Run, Looker, Apigee, Dataplex, GKE Deep understanding of programmatic advertising (RTB, OpenRTB), cookie-less identity frameworks, and AdTech/MarTech data flows. Experience integrating or building components like: Data Management Platforms (DMPs) Customer Data Platforms (CDPs) Demand-Side Platforms (DSPs) Ad servers, attribution engines, and real-time bidding pipelines Event-driven and microservices architecture using APIs, streaming pipelines, and edge delivery networks. Integration with platforms like Google Marketing Platform, Google Ads Data Hub, Snowplow, Segment, or similar. Strong understanding of IAM, data encryption, PII anonymization, and regulatory compliance (GDPR, CCPA, HIPAA if applicable). Experience with CI/CD pipelines (Cloud Build), Infrastructure as Code (Terraform), and MLOps pipelines using Vertex AI or Kubeflow. Strong experience in Python and SQL; familiarity with Scala or Java is a plus. Experience with version control (Git), Agile delivery, and architectural documentation tools.
Job Summary We are seeking a highly skilled Senior Node.js Backend Developer to design, develop, and maintain scalable backend services and APIs. The ideal candidate has a strong understanding of backend architecture, microservices, and cloud deployments, along with a passion for writing clean, maintainable, and well-tested code. Key Responsibilities Design, develop, and maintain backend services, RESTful and GraphQL APIs using Node.js and related frameworks. Architect scalable solutions and optimize existing services for performance and reliability. Collaborate with product, front-end, and DevOps teams to deliver end-to-end features. Implement secure authentication & authorization (JWT, OAuth2, session-based). Integrate with Cockroach DB, Redis and external APIs, ensuring data consistency and performance. Write unit, integration, and performance tests to ensure high code quality. Troubleshoot, debug, and resolve production issues. Required Skills & Qualifications 45 years of professional backend development experience, with at least 3 years in Node.js . Strong proficiency in JavaScript and TypeScript . Hands-on experience with Express.js Solid understanding of microservices architecture and message brokers - RabbitMQ and Kafka. Strong database skills — CockroachDB, Redis. Experience with cloud platforms (AWS, GCP, or Azure) . Proficiency in Git and collaborative development workflows. Knowledge of RESTful API and GraphQL design principle s. Familiarity with testing frameworks - Mocha Strong debugging, problem-solving, and performance optimization skills.
Role & responsibilities Job Title: Software Dev Engineer III Location: Hyderabad Duration: 6 Months Job Type: Contract Work Type: Onsite Job Description: Top 3 Responsibilities Coding, Testing, Deployment, Creating new configuration, Service migrations Leadership Principles Deliver Results Ownership Dive Deep Mandatory Requirements Java, Cloud Knowledge(Preferable AWS) Preferred skills AWS Knowledge on Databases, EC2 instances, SQS and VPC. Education or Certification Btech or equivalent bachelor degree Notice: Immediate Joiners only Shift : 8 hours/ IST Exp: 5+ Years Preferred candidate profile
Role & responsibilities Role: GCP DevOps Engineer / Lead (Mandatory - DevOps + Docker + Kubernetes + GKE clusters + Jenkins + Azure) Experience: 8+ years Working Hours: 11:00 am to 8:00 pm (flexibility required for US overlap) Work Mode: Remote We are looking for someone with stronger technical expertise who can take full ownership of the existing GCP infrastructure and provide guidance to the team.Were looking for an experienced GCP DevOps Engineer who can quickly understand our existing cloud ecosystem, identify areas for improvement, and implement best-in-class DevOps practices. Should have hands-on with GCP services (GKE, IAM, VPC, Cloud Build, etc.), IaC tools (Terraform), CI/CD pipelines, and monitoring solutions. The ideal candidate is a self-starter who can work independently, drive architecture decisions, and communicate effectively with both tech and non-tech teams. Key Responsibilities: Analyse the current GCP setup and DevOps workflows Propose and implement improvements in infrastructure, security, and automation Build and maintain scalable, secure GKE clusters and CI/CD pipelines Ensure observability, cost-efficiency, and high availability Collaborate across teams and communicate clearly with stakeholders Preferred candidate profile
Role & responsibilities Senior Azure Cloud Engineer /Lead (C2H) Location: Chennai - Hybrid Model Senior Azure Cloud Engineer /Lead:Proven hands-on experience in designing and implementing advanced Kubernetes-based systems on any major cloud platform, with a strong focus on Azure. Skilled in provisioning infrastructure using Azure-native services, particularly Azure Kubernetes Service (AKS), including networking, policy enforcement, RBAC design, and security best practices. Proficient in Infrastructure as Code (IaC) using Terraform, and experienced in deploying applications using Helm charts . Well-versed in DevOps and DevSecOps practices, with practical expertise in building CI/CD pipelines using GitHub and GitHub Actions, and integrating security tools into the development lifecycle. At least 6 to 10 years of strong experience in Cloud technologies Preferred candidate profile
Role & responsibilities Job Description: We are seeking a highly skilled and experienced Data Engineering Lead with 5+ years of experience in designing, building, and managing scalable data pipelines and solutions. The ideal candidate will have deep expertise in Azure Cloud Platform, Azure Data Factory (ADF), Python, PySpark (very strong), SQL, and hands-on leadership experience. You will lead a team of data engineers and collaborate closely with data scientists, analysts, and business stakeholders to drive data initiatives. Key Responsibilities: Lead and mentor a team of data engineers to deliver high-quality data solutions. Design, develop, and maintain scalable and efficient data pipelines using Azure Data Factory (ADF) and PySpark. Implement ETL/ELT workflows and data integration solutions on Azure. Build and optimize data models and data lakes to support advanced analytics and reporting. Write clean, efficient, and reusable code using Python and PySpark. Create and manage SQL queries to transform, validate, and extract data from various sources. Collaborate with cross-functional teams to gather requirements and define data strategies. Ensure data quality, governance, and security compliance in all solutions. Monitor and troubleshoot data pipelines and resolve issues promptly. Stay current with industry trends, emerging tools, and best practices in cloud data engineering. Mandatory Skills: Strong experience with Azure Cloud Services, especially Azure Data Factory (ADF) Advanced proficiency in PySpark and Python Strong SQL skills for data extraction, transformation, and reporting Proven experience in leading data engineering teams or projects Hands-on experience with distributed data processing and big data technologies Solid understanding of data warehousing, data lakes, and data modelling concepts Preferred candidate profile
Role Overview: We are seeking a highly skilled Senior Lead AWS Expert with strong experience in Big Data Analytics to join our team. The ideal candidate will be able to work independently, design scalable solutions, and support customer initiatives from the front line. Non-Negotiable Requirements: Excellent communication and articulation skills Ability to work independently without supervision or guidance Proven hands-on experience with: AWS S3 and Parquet files AWS Lambda, Glue Jobs AWS EMR / Spark AWS Networking (Private Links, Route53, Cross-OU/Account Routing, etc.) API Gateways Terraform Strong solution design capabilities Other Key Details: Location: Bangalore - Experience: Min 6+ Relevant Experience Joining: Immediate joiner preferred