Build what can’t be allowed to fail.

• Senior Data Engineer IIData · 8+ yearsBuild petabyte-scale data platforms on on-prem S3 object storage, using ETL/ELT pipelines, query engines and visualisation tools.+

  You’ll design, build and run the data platforms behind our products and client systems. These are petabyte-scale lakehouses on S3-compatible object storage, inside the customer’s own data centre. The data comes from networks, sensors, cameras and business systems. It has to be correct and quick to query, and it has to stay on infrastructure the customer controls.

  What you’ll do

  • Design and run petabyte-scale lakehouses on on-prem S3-compatible storage (MinIO, Ceph RGW), using open table formats such as Apache Iceberg, Delta Lake or Hudi.
  • Build batch and streaming ETL/ELT pipelines with Spark, Kafka, Flink or NiFi. Run them with Airflow or Dagster, and write transformations in dbt.
  • Set up and tune distributed query engines (Trino/Presto, StarRocks, ClickHouse, Hive) so analysts can query billions of rows interactively. This covers partitioning, file sizing, compaction and caching.
  • Bring in data from telecom OSS/BSS, IoT sensors, video metadata, ERP/CRM and operational databases, including change data capture (CDC) with Debezium.
  • Build dashboards and self-service analytics on Superset, Grafana, Power BI or similar. Also build the governed data layer that Kashi-ka reads from.
  • Own data quality, lineage and the data catalogue (Great Expectations, OpenMetadata or DataHub), plus access control and retention.
  • Plan capacity, storage tiers, backup and disaster recovery with the infrastructure team.
  • Lead on customer sites: gather requirements, run architecture reviews and write hand-over documents. Mentor junior engineers.

  What you’ll bring

  • 8+ years in data engineering, including at least 3 years on platforms holding hundreds of terabytes up to petabytes.
  • Hands-on work with on-prem S3-compatible object storage, not only managed cloud storage.
  • Strong Spark (PySpark or Scala), advanced SQL and Python.
  • Production experience with at least one distributed query engine.
  • Open table formats (Iceberg, Delta, Hudi) and columnar file formats (Parquet, ORC).
  • Workflow orchestration (Airflow or similar) and streaming with Kafka.
  • At least one BI or visualisation tool in production.
  • Linux, Docker, basic Kubernetes, Git and CI/CD.

  Good to have

  • Moving Hadoop platforms (HDFS/Hive) to a lakehouse.
  • Time-series and telemetry data, such as network KPIs or sensor streams.
  • Preparing data for LLM retrieval, including vector databases.
  • Data security: Kerberos, Apache Ranger, encryption at rest, masking.
  • Background in telecom, aviation, energy or banking.

  Apply for this roleFull-time · Visakhapatnam, India · 8+ years
• Senior Infrastructure Engineer IIInfrastructure · 8+ yearsRun private data centres: server, network and storage administration, HCI, L2 high availability and security zones in private clouds.+

  Our products and client platforms run on infrastructure the customer controls: private data centres and private clouds behind the airports, networks, ports and utilities we work with. You’ll design, build and run that infrastructure so mission-critical systems keep running. The work covers everything from racking and cabling to hypervisors, storage and network segmentation.

  What you’ll do

  • Design, deploy and run hyper-converged infrastructure (HCI) clusters: Nutanix, VMware vSAN, Proxmox VE with Ceph, or similar.
  • Manage servers end to end: firmware, RAID, remote management cards (iDRAC, iLO, IPMI), Linux and Windows Server, patching and hardening.
  • Build and run the data centre network for L2 high availability: VLANs, trunking, LACP link aggregation, spanning tree, MLAG/vPC and VRRP/HSRP, plus OSPF and BGP routing where needed.
  • Create security zones in private clouds: separate management, production, DMZ and OT/IoT zones, with firewall policies, micro-segmentation and bastion access.
  • Manage storage: SAN/NAS (iSCSI, FC, NFS, SMB), software-defined storage (Ceph, vSAN), S3-compatible object storage, snapshots and replication.
  • Own high availability and disaster recovery: clustering, live migration, regular failover tests, backups (Veeam, Proxmox Backup Server or similar), and documented recovery point and recovery time targets (RPO/RTO).
  • Monitor and automate with Zabbix, Prometheus and Grafana, Ansible, Terraform and scripting.
  • Lead on-site deployments, capacity planning and hardware sizing for proposals. Take L3 escalations and mentor junior engineers.

  What you’ll bring

  • 8+ years in data centre infrastructure, including at least 3 years running HCI in production.
  • Strong server, network and storage administration, and the ability to trace a fault across all three.
  • Hands-on L2 high-availability design.
  • Experience designing security zones and firewall policies (Fortinet, Palo Alto, pfSense/OPNsense or similar).
  • Linux administration (RHEL or Ubuntu) and hypervisors (ESXi, KVM/Proxmox, Hyper-V).
  • Setting up and testing backup and disaster recovery.
  • Automation with Ansible, Bash, Python or PowerShell.
  • Willingness to travel to customer sites for deployments.

  Good to have

  • Certifications such as VCP, NCP, CCNP or RHCE.
  • Kubernetes on bare metal (RKE2, OpenShift) and GPU servers for AI workloads.
  • Air-gapped or regulated environments, ISO 27001 controls and integration with a SIEM or SOC.
  • Enterprise Wi-Fi and wireless infrastructure.

  Apply for this roleFull-time · Visakhapatnam, India · 8+ years
• Senior ML/AI Engineer IIAI · 8+ yearsBuild machine learning for computer vision and sensor data, from training through to deployment on-premises and at the edge.+

  You’ll build the models behind our products, including Netra (AI video forensic search), AeroTrack (wireless staff and asset tracking) and AIOps (predictive IT operations), and the sensor analytics in our client work. These models run on the customer’s own GPUs and edge devices, not a public cloud, so they must be accurate, efficient and easy to maintain.

  What you’ll do

  • Build computer vision models for detection, segmentation, classification, tracking across multiple cameras (re-identification), and searching video by attributes.
  • Model sensor and time-series data: anomaly detection, forecasting, predictive maintenance and locating things from wireless signals.
  • Use vision-language and embedding models so people can search video in plain language.
  • Put models into production on-premises and at the edge: optimise them with TensorRT, ONNX Runtime or OpenVINO and with quantisation, deploy them on NVIDIA GPUs and Jetson, serve them with Triton, and build video pipelines with DeepStream or GStreamer.
  • Own the full model lifecycle: labelling strategy, experiment tracking (MLflow), evaluation, versioning, drift monitoring and retraining.
  • Work with the data and infrastructure engineers on feature pipelines and GPU capacity.
  • Lead technical design and code review, and mentor others. Turn customer problems into ML approaches with clear measures of success.

  What you’ll bring

  • 8+ years in software and ML, including at least 4 years shipping models to production.
  • Strong computer vision skills: detection, tracking and segmentation (the YOLO family, DETR, Mask R-CNN, ByteTrack or DeepSORT).
  • Machine learning on sensor or time-series data, including anomaly detection, forecasting and signal processing.
  • Expert Python and PyTorch, plus OpenCV, NumPy/pandas, scikit-learn and gradient boosting.
  • Optimising and deploying models on GPUs (TensorRT, ONNX), Docker and Linux.
  • A sound grasp of evaluation: metrics, error analysis and dataset bias.

  Good to have

  • Edge AI and real-time video analytics across hundreds of camera streams.
  • Multimodal models, LLMs, retrieval-augmented generation (RAG) and fine-tuning (LoRA).
  • Indoor positioning with BLE, UWB or Wi-Fi RTT.
  • Kubernetes, Kubeflow, Ray and C++.
  • Publications, patents or open-source work.
  • Privacy-preserving video analytics, such as face and number-plate blurring.

  Apply for this roleFull-time · Visakhapatnam, India · 8+ years

Apply opens an email to info@inndata.in. Please attach your CV.