About us
Triton Infotech works with large, diverse datasets for AI development and enterprise use. We bring together structured and unstructured data from many sources and prepare it for secure storage, evaluation and delivery. The role A hands-on engineering role. You’ll own the pipeline that turns incoming data into an organised, verified, usable repository, working directly with terabyte
- to petabyte-scale data, storage hardware, cloud platforms and AI-assisted workflows. You should be as comfortable debugging a failed transfer at the command line as managing a NAS or designing a repeatable ingestion and quality-check process. What you’ll do
• Data collection and ingestion: coordinate receipt of datasets from multiple partners in India and abroad, via disks, NAS shares, secure links, cloud buckets and hosted repositories, and build reliable bulk upload, download and sync workflows.
• Centralisation and organisation: consolidate incoming data into Google Workspace and cloud object storage (GCS, S3, Azure Blob) with explicit directory structures, naming conventions, metadata catalogues and source-level inventories.
• NAS and storage systems: configure, run and troubleshoot network-attached storage (SMB, NFS, rsync, SFTP/SSH), including RAID, permissions, snapshots, disk health, throughput, backup and recovery.
• Cloud infrastructure: work across GCP, AWS and Azure (compute, object storage, IAM, CLIs, lifecycle policies, transfer tools, logging and cost controls), and choose approaches based on volume, security, performance and budget.
• Systems work: use Linux, shell scripting and Python to automate file handling, large transfers and transformations, and diagnose filesystem, network, memory and disk I/O bottlenecks.




• File-format fluency: inspect, validate, convert and extract data across PDF, DOCX, TXT, CSV, JSON, XML, images, video, audio, archives, databases and engineering/CAD formats (DWG, DXF, STEP, STL, IFC).
• Cleaning and QA: find duplicates, corrupt or incomplete files, inconsistent metadata and missing records, using checksums, deduplication, schema validation, batch transformation and exception reports.
• AI-enabled operations: use Claude, ChatGPT and coding assistants to speed up scripting, classification, metadata extraction and QA, with proper review steps, and never share restricted data with external AI tools without authorisation.
• Traceability and governance: keep a record of every batch (when it arrived, where from, file count, size, format, changes made, access restrictions and delivery status), with least-privilege access, encryption and retention controls.
• Operational ownership: monitor ingestion jobs, maintain runbooks and dashboards, resolve transfer failures, coordinate with partners and the internal team, and deliver organised, verified datasets on time. What we’re looking for
• Hands-on experience in data engineering, infrastructure, DevOps or systems administration, with large and varied datasets
• Strong Linux, Python and Bash skills
• Experience with at least one major cloud platform and with large file transfers (rclone, rsync, cloud CLIs)
• Familiarity with NAS, file-transfer protocols, permissions and backups
• Careful, well documented and security-minded; able to own work end to end
• B.
Tech / B.
E. in Computer Science or a related field Nice to have
• Experience with multi-terabyte or petabyte-scale repositories, Docker, Git, SQL or OCR / document-processing pipelines

📌 Member of Technical Staff (Mumbai)
🏢 Triton Infotech FZC
📍 Mumbai