Jobs at CloudThat

Designs and validates scalable machine learning and data architectures, guides implementations, resolves complex technical issues, mentors junior team members, conducts code reviews, and translates business needs into AI/ML solutions. The role also researches advanced AI techniques and frameworks and supports project delivery through best practices. Required expertise includes ML frameworks, statistical modeling, model training and fine-tuning, Spark, PySpark, scalable data pipelines, mentoring, and AWS machine learning and developer certifications.

Design cloud-native data and AI architectures, including data lakes, warehouses, ETL/ELT pipelines, real-time streaming systems, and infrastructure as code. Review architectural patterns, optimize performance and costs, align delivery with business objectives, support client presentations and workshops, and mentor junior team members. The role requires cloud solution design experience across AWS or Azure, knowledge of data and AI patterns, AI algorithm evaluation, communication skills, and an AWS Certified Solutions Architect Professional certification.

Designs cloud-native data and AI architectures, including data lakes, warehouses, ETL/ELT pipelines, real-time streaming, and infrastructure as code. The role evaluates cloud storage and processing options, optimizes performance and costs, guides architectural development, supports client workshops, aligns technical delivery with business objectives, and mentors junior team members. AWS or Azure expertise, AI algorithm experience, and AWS Certified Solutions Architect Professional certification are required.

Build and maintain ETL pipelines for a large-scale analytics platform, ensure data quality, resolve data issues, handle support tickets, and assist senior engineers with enhancements. The role requires SQL and Python skills, basic cloud data platform knowledge, and familiarity with AWS Glue, Lambda, Redshift, and Apache Airflow. Experience in the Oil & Gas domain is preferred.

Design and implement cloud-native data lakes, warehouses, AI architectures, ETL/ELT pipelines, and real-time data systems. Guide architectural patterns, optimize performance and costs, align technical delivery with business goals, support client workshops, and mentor junior team members. The role requires expertise across major cloud platforms, data engineering tools, infrastructure as code, AI algorithm evaluation, and cloud solution architecture.

Own frontend development for an enterprise web portal and mobile PWA applications supporting an oil and gas company. Build and maintain responsive, accessible interfaces for MIS reports, integrate REST APIs, develop Ionic React PWAs, and collaborate with backend microservices teams. The role requires strong ReactJS practices, TypeScript or JavaScript expertise, and at least five years of ReactJS experience. This is an on-site position based in Mumbai.

Develop and maintain scalable Python data pipelines, ETL processes, workflow automation, and dataset integrations. Ensure data quality, validation, performance, and production reliability while supporting analytics and machine learning teams. Work with databases, cloud data services, APIs, orchestration tools, and deployment platforms to deliver clean, production-ready data solutions.

Leads cloud proofs of concept, architecture validation and implementation across multi-cloud environments. Troubleshoots cloud platforms, resolves complex technical issues, applies networking, system administration, security, monitoring and automation best practices, and mentors junior associates. Requires deep AWS expertise, experience managing multi-cloud and multi-account environments, certification in at least two cloud platforms, and team leadership experience.

Lead AI/ML model development and production deployment for large-scale analytics supporting an Oil & Gas enterprise. Own multiple use cases, design and train models using AWS SageMaker, monitor performance and accuracy, extract insights from large datasets, and support advanced analytics initiatives. The role requires strong Python and SageMaker expertise, five or more years of AI/ML experience, and on-site work in Mumbai.

Design, develop, deploy, and operate production-grade machine learning, Generative AI, LLM, RAG, and agentic AI solutions on AWS. Build and evaluate models and pipelines, integrate enterprise systems, optimize quality, latency, reliability, security, and cost, and use Bedrock and SageMaker for production AI architectures. Monitor model performance and drift while collaborating with engineering, data, architecture, and product teams.

Manage and grow Microsoft-related enterprise accounts by building stakeholder relationships, identifying training and cloud solution opportunities, driving revenue, coordinating internal teams, maintaining pipelines and forecasts, and ensuring customer satisfaction. The role includes account planning, opportunity tracking, cross-selling, upselling, issue resolution, CRM maintenance, and collaboration with Microsoft teams across Azure, certification, AI, and upskilling initiatives.

Develop and convert B2B sales pipelines, achieve annual targets, prospect and qualify leads, negotiate and close deals, collaborate with OEMs and distributors, and maintain weekly and monthly sales reports. The role requires independently generating opportunities, explaining technology solutions, managing stakeholder relationships, and selling to potentially large organizations with multiple decision-makers.

Drive revenue growth in Delhi NCR by acquiring new enterprise clients, expanding existing accounts, generating qualified leads, achieving annual sales targets, and closing cloud and IT services deals. The role involves consultative solution selling, cross-selling, OEM and distributor collaboration, client relationship management, pipeline development, sales reporting, and territory growth. Candidates must understand cloud and hybrid IT solutions, communicate effectively with enterprise stakeholders, and travel locally for customer meetings.

Supports end-to-end recruitment by sourcing candidates, screening resumes, conducting initial calls, coordinating interviews, maintaining ATS records, assisting with campus hiring and recruitment events, communicating with candidates, and preparing recruitment reports. The internship is intended for fresh graduates or early-career professionals seeking hands-on talent acquisition experience.

Leads presales discovery and designs secure, scalable, cost-optimized cloud architectures across AWS, Azure, and GCP. Creates solution blueprints, architecture diagrams, statements of work, proposals, pricing estimates, and risk assessments. Conducts technical workshops, proposal reviews, and executive briefings while aligning solutions with delivery feasibility and business goals. Requires strong GenAI presales experience, U.S. market client support, cloud architecture expertise, and knowledge of migration, security, automation, and Well-Architected Framework practices.

Drive technical and non-technical hiring by developing recruiting strategies, sourcing candidates, screening applications, conducting structured and competency-based interviews, managing recruiting systems, coordinating onboarding, and maintaining candidate relationships. The role also involves improving recruitment processes, applying HR best practices, preparing recruitment reports, partnering with hiring managers, and ensuring ethical, efficient hiring execution.

Designs and builds Python backend services, REST APIs, automation, integrations, and automailer workflows for a large-scale analytics platform. The role owns production support, enhancements, backend architecture, and scheduling solutions using Apache Airflow and AWS services. Candidates need at least five years of Python backend development experience, strong API design and automation skills, and must be based on-site in Mumbai. Oil and Gas experience is preferred.

SEO Interns will assist with on-page and off-page SEO, keyword research, competitor analysis, content and landing-page optimization, technical SEO audits, website performance monitoring, and SEO reporting. They will use tools such as Google Analytics 4 and Google Search Console while collaborating with content, design, and web development teams. The six-month work-from-office internship provides hands-on experience with live projects and digital marketing best practices.

Creates digital marketing assets, print materials, UI/UX designs, and basic video or motion graphics. Collaborates with senior designers and marketing teams to maintain brand consistency, develop visual storytelling skills, and explore AI-powered design tools. This learning-focused role includes mentorship, brainstorming, and hands-on experience for fresh graduates or early-career professionals.

Supports daily training operations, including trainer travel bookings, virtual training link creation, training audits, feedback reporting, stakeholder coordination, scheduling, calendar management, and maintaining training reports. The role requires strong communication, time management, Excel and Microsoft Tools proficiency, and a proactive approach. This is a six-month, office-based rotational evening-shift internship in Bengaluru.