About GalaxEye :
We build the world's first SyncFused OptoSAR satellites and the software backbone that runs them from TT&C and mission ops to high-throughput geospatial AI pipelines. This role is modeled to match top industry platform leads at companies building operational EO + analytics stacks.
Why this role matters
and
What success looks like (first 612 months)
- Deliver a vetted reference architecture for Mission & Data Platforms (hybrid cloud + hardened on-prem).
- Ship a CI/CD pipeline, container strategy, and a working dev?staging?prod flow for mission services.
- Provision a baseline on-prem hardware spec (compute, GPU, storage, networking) and a costed procurement plan.
- Deploy a production data ingress pipeline that accepts raw imagery (satellite frames, SAR bursts), produces COGs/GeoParquet/tiles, and feeds model training/inference.
- Hire/mentors first 36 platform engineers and codify SRE/hygiene standards (SLOs, runbooks, blameless postmortems).
Responsibilities (hands-on leadership)
Architecture & Tech Direction
- Define end-to-end platform architecture for Mission Management (TT&C, scheduler, health/telemetry) and Data Management (ingest, catalog, processing, serving).
- Ensure platform
interoperability with AI/foundation models
provide model hosting, feature stores, model-versioning, and low-latency inference endpoints for computer-vision & geospatial workloads. Tech Stack & Implementation
- Select and own core stack (see Preferred tech stack below).
- Design hybrid deployment patterns: cloud native (GCP/AWS)
and
hardened on-prem (bare-metal/K8s/OpenStack/VMware). DevOps / SRE / Hygiene
- Build CI/CD, IaC, observability, security, secrets management, and blue/green/rolling deployments.
- Define SLOs/SLIs, runbooks, incident response and capacity planning.
Data & AI Integration
- Work with Data Science/ML engineers to design training pipelines (data versioning, dataset formats such as COG/GeoParquet/Iceberg), GPU scheduling, and model deployment (Triton/KFServing/MLflow).
Ground & Mission Ops
- Integrate with ground station stacks, scheduling systems, and mission planners. Implement telemetry pipelines (CCSDS-like framing, TM/TC handlers) and mission workflows.
Hardware Sizing & Procurement
- Size compute/GPU/storage/network (IOPS, throughput, retention) and produce costed specs for procurement. Recommend RAID/erasure/cluster configs (Ceph/Lustre/NAS).
Team Building
- Recruit, grow, and lead a cross-functional team (Platform Engineers, DevOps, SRE, Systems Administrators). Set OKRs and technical KPIs.
Must-have (non-negotiable)
- 8+ years building production platforms / infrastructure / DevOps (or equivalent).
- Deep, hands-on experience with
Kubernetes + containers
, container networking, and cluster ops at scale. - Proven track record of designing hybrid cloud + on-prem architectures and running secure, high-availability services.
- Strong systems programming / backend experience (Python and/or Go).
- Experience sizing and managing
GPU clusters
and high-throughput storage for large raster datasets. - Solid understanding of geospatial data formats and pipelines (COG, GeoTIFF, GeoParquet, PostGIS) and large raster handling.
- Experience with CI/CD, IaC (Terraform/Ansible), message streaming (Kafka), and orchestration (Argo/Kubernetes).
- Excellent product & people skills you can translate mission requirements into testable architecture and recruit/mentor engineers.
Nice-to-have (differentiators)
- Prior work on satellite ground systems / TT&C / telemetry and mission ops.
- Experience with SAR/image processing, GDAL/Rasterio, and raster reprojection/orthorectification.
- Familiarity with ML infra: PyTorch/TensorFlow, NVIDIA CUDA stack, Triton inference server, MLflow, or KServe.
- Knowledge of spatial servers and tiling: GeoServer, pg_tileserv, Tile38, MapProxy, or similar.
- Experience with object storage (S3/MinIO), Ceph, and high-performance filesystems (Lustre).
- Security & compliance experience for govt/defence environments.
Preferred tech stack
Languages & frameworks:
Orchestration & CI/CD:
Infrastructure as Code:
Messaging & streaming:
Databases & catalogs:
Object & block storage:
Geospatial tooling:
Big data / distributed compute:
ML / inference:
Observability & Security:
Ground & mission ops:
Hardware & networking:
What We're Looking For
builder and systems thinker
If you want to help build the foundational software layer that enables satellites and AI to work together this is the role for you.
Why GalaxEye
- Be part of
India's only multi-sensor satellite startup
, building the world's first hybrid imaging constellation. - Collaborate with top-tier engineers and scientists from IIT Madras and global space-tech communities.
- Build
real deep-tech infrastructure
that powers national security, global resilience, and data intelligence.
