Jobs at CloudThat

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.

Design and implement DevOps automation using Infrastructure as Code, maintain Kubernetes clusters and observability solutions, and resolve deployment and infrastructure issues. The role also includes mentoring junior engineers, leading small-scale infrastructure projects, and ensuring reliability across cloud environments.

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.

Designs and delivers secure, scalable AWS data platforms and AI/ML solutions for enterprise clients. Advises executives, leads discovery workshops and proofs of concept, translates business needs into cloud architectures, and oversees data pipelines, lakes, warehouses, and model implementations. Provides governance, optimization, security, compliance, and responsible AI guidance while mentoring technical teams, creating reusable intellectual property, and representing the company at industry events.

Designs secure, scalable, and cost-optimized cloud architectures across AWS, Azure, and GCP for enterprise clients. Leads discovery sessions, creates solution blueprints, architecture diagrams, Statements of Work, proposals, and pricing estimates. Conducts technical workshops, feasibility and risk assessments, proposal walkthroughs, and executive briefings while guiding internal delivery teams. Requires cloud architecture, migration, security, automation, GenAI, and strong client-facing communication skills.

Design, develop, maintain, and optimize scalable ETL pipelines and data workflows for a large-scale analytics platform. Ensure data reliability, manage production pipelines, resolve tickets within SLA, support P1/P2 incident resolution, and collaborate with data and application development teams. The role is based onsite in Mumbai and requires client site visits.

Lead proof-of-concepts, cloud architecture validation and implementation across multi-cloud environments. Troubleshoot cloud platforms, resolve complex technical problems, enforce cloud, networking, security, and monitoring best practices, and mentor junior associates. The role requires deep AWS expertise, multi-account experience, cloud automation knowledge, certification in at least two cloud platforms, and team leadership experience.

Develop and maintain scalable Python-based data pipelines, ETL processes, workflow automations, and dataset integrations. Ensure data quality, validation, performance, and integrity while deploying and monitoring production workflows. Collaborate with data engineers, analysts, stakeholders, and machine learning teams to provide reliable, production-ready data solutions. Work with databases, cloud data services, orchestration tools, APIs, and CI/CD practices.

Lead a team of three data engineers supporting a large-scale analytics platform. Manage and optimize ETL pipelines, data transformations, monitoring, reliability, production incidents, and SLA-driven enhancements. Collaborate with business advisory teams and maintain operational runbooks and documentation. Participate in a 24x7 P1 incident rotation, including weekend and night on-call coverage, and work from the Mumbai client site as required.

Design scalable and secure cloud architectures aligned with RTO/RPO and stakeholder needs. Lead solutioning workshops and demonstrations, create architecture documentation, and guide cloud migration and transformation initiatives. Advise teams on architecture implementation, CI/CD pipelines, DevOps, Kubernetes, containers, cost optimization, disaster recovery, data analytics, and machine learning. Mentor teams while ensuring enterprise-level architecture standards and client-focused outcomes.

Designs and maintains enterprise backend microservices for a large-scale analytics platform using Java, Spring Boot, and AWS. Responsibilities include building and optimizing REST APIs, deploying containerized services, handling production support tickets, and promoting code quality and modern application architecture.