Top Tech Jobs & Startup Jobs

Supports daily training operations, including trainer travel bookings, virtual training links, training audits, feedback reports, scheduling, calendar management, stakeholder coordination, and operational reporting. The intern will help ensure training programs run smoothly, follow best practices, and meet operational standards. Strong communication, time management, Excel, and Microsoft Tools skills are required. The role involves a mandatory rotational evening shift and a six-month internship.

Supports and optimizes AWS cloud infrastructure and data platform services, including EC2, EKS, EFS, MSK, EMR, and Glue. Responsibilities include provisioning, monitoring, troubleshooting, incident management, root-cause analysis, container and Kubernetes administration, storage and backup support, big data and streaming operations, CloudWatch monitoring, and production on-call support in a 24x7 environment.

Manage end-to-end non-IT recruitment across lateral and campus hiring programs. Responsibilities include workforce planning, sourcing, screening, negotiations, interview coordination, offer rollout, campus relationships, employer branding, vendor management, recruiter leadership, stakeholder collaboration, hiring analytics, and compliance. The role covers Sales, Marketing, Operations, HR, Finance, Customer Success, Training, and other business functions in a fast-paced Bengaluru office environment.

Drive revenue growth by acquiring new enterprise clients, expanding existing accounts, prospecting, generating leads, closing cloud and IT services deals, and developing cross-selling opportunities. Manage sales pipelines and targets, maintain client relationships, collaborate with cloud OEM and distributor partners, and prepare regular business reports. The role requires consultative selling expertise, strong enterprise customer connections, knowledge of cloud and hybrid IT solutions, and willingness to meet customers across Bangalore.

Manage end-to-end technical and non-technical recruitment, including requirement gathering, sourcing, screening, interviews, offer negotiation, onboarding coordination, and talent pipeline development. Partner with hiring managers, track recruitment KPIs, ensure a strong candidate experience, mentor junior recruiters, and improve recruitment processes. IT hiring experience is mandatory, with exposure to technology areas such as cloud, data engineering, AI/ML, cybersecurity, DevOps, and software development preferred.

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.

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.