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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.

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.

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.

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.