Jobs at Techdome

Leads the architecture and delivery of enterprise ServiceNow implementations across multiple modules. Designs scalable platform solutions, integrations, CMDB and CSDM strategies, governance standards, upgrade plans, and performance improvements. Facilitates client workshops, translates requirements into technical designs, reviews development work, supports estimations and presales, and guides best-practice implementation. Requires deep ServiceNow, ITSM, scripting, integration, and client-facing expertise.

Build and deploy production-grade machine learning, deep learning, and Generative AI solutions. Responsibilities include developing models, RAG pipelines, AI agents, prompt engineering, data and training pipelines, scalable APIs, and MLOps practices. The role evaluates and optimizes model performance, cost, and latency while collaborating with product, data, and engineering teams to move AI capabilities from proof of concept to production.

Build and own end-to-end web applications, including responsive frontends, scalable backend services, APIs, database integrations, authentication, and payment systems. Deploy cloud-native applications using Docker and CI/CD pipelines, write clean and testable code, participate in Agile ceremonies and code reviews, and mentor junior developers. The role requires strong JavaScript or TypeScript skills, React or Angular, Node.js, SQL and NoSQL databases, REST APIs, microservices, Git, and cloud services.

Develop and maintain enterprise Sitecore websites and digital experiences across Sitecore XP/XM and XM Cloud. Build headless components with Sitecore JSS, Next.js, or React; develop C# and .NET backend features; configure content, workflows, personalization, and multisite environments; integrate CRM, search, and third-party systems; support migrations, performance optimization, security, and agile collaboration.

Build and manage secure, highly available cloud infrastructure and CI/CD pipelines. Responsibilities include Infrastructure as Code, Kubernetes and container management, monitoring, logging, security, access control, disaster recovery, cost optimization, and production troubleshooting. The role requires strong cloud, Terraform, Kubernetes, Docker, Linux, networking, scripting, and pipeline experience, with participation in on-call support.

Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Snowflake, Databricks, and cloud platforms. Develop transformation and orchestration layers, implement data quality monitoring and alerting, optimize performance and cloud costs, and collaborate with architects, analysts, and data scientists. The role also requires data warehousing, dimensional modeling, CI/CD, version control, and documentation practices.

Design, develop, and maintain scalable Python backend applications, RESTful and GraphQL APIs, database systems, integrations, and asynchronous services. Deploy cloud-based services using Docker and CI/CD pipelines, write automated tests, participate in code reviews, contribute to technical architecture, and mentor junior developers. The role requires expertise in Python frameworks, SQL and NoSQL databases, authentication, cloud platforms, distributed systems, and asynchronous programming.