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About the Role

As a distributed systems engineer at Helios, you will expand and operate the distributed execution, storage, scheduling, and reliability primitives that support data ingestion, document processing, search indexing, model inference, agents, and continuously running research workflows. The primary responsibility centers around the orchestration of critical infrastructure to meet mission-critical performance and reliability guarantees. The key objective of this work is to support the real-time access and availability of our entire data corpus as well as supporting the continued construction of the Helios Rapid Ontology System (H.R.O.S.), our long horizon memory data plane.

Responsibilities

Own the operation and architecture of Proxi’s distributed execution platform, covering ingestion, document processing, search index performance and long-running research jobs.
Manage the deployment of our GovCloud and Air-Gapped resources for sensitive environments.
Manage the orchestration of long-running agent research tasks including scheduling, lease management and retention.
Queue optimization and cross-cloud information pipeline scalability.
Build out dedicated resource-aware autoscaling architecture for fast search and document processing resources.
Manage CI/CD and compliance operations across the entire Helios platform.
Support global forward embedded customer infrastructure efforts.

Requirements

Familiarity with network crawling, compute grids, memory-heavy document processing, OCR, inference, and latency-sensitive jobs.
Experience with queue-, log-, workflow-, and actor-based distributed execution systems, including Kafka, Redpanda, Pulsar, SQS, Pub/Sub, RabbitMQ, Temporal, and equivalent technologies.
Experience establishing at-least-once delivery with effectively once-only business outcomes through transactional outbox and inbox patterns, sagas, reconciliation, dead-letter handling, replay and historical backfill procedures.
Experience with CPU-, memory-, disk-, network-, and GPU-aware scheduling, including workload classification, priority allocation, starvation prevention, tenant and dependency concurrency limits, placement constraints, resource quotas, and noisy-neighbor isolation.
Experience with PostgreSQL, object storage, Redis or equivalent caches, search indices (Elasticsearch or Typesense), vector stores, change-data-capture, and graph-storage systems.
Experience with distributed coordination and concurrency controls, including leader election, locks, leases, fencing tokens, optimistic concurrency, conflict resolution, and partition recovery.
Experience with provisioning and operation of AWS, GCP, or Azure infrastructure through terraform or similar IaC, vulnerability scanning, CI/CD and deployment methods.
Experience with definition and administration of SLO/Is, error budgets, release controls, metrics, OpenTelemetry, Datadog, fault injection and load/failure testing.
Experience with evaluation of system performance and cost via e2e latency decomposition, resource and dependency profiling.
Experience with enforcement of platform security and tenant isolation policies.
Ability to own outcomes, not just assigned tasks.
Ability to move quickly without lowering the standard.
Ability to stay close to the mission and the user.
Ability to work across boundaries.
Ability to communicate directly.
Ability to build for the real world.
Flexibility during critical deployment periods, customer incidents, product launches, and other company-critical work.

Skills

Distributed execution
Storage
Scheduling
Reliability primitives
Data ingestion
Document processing
Search indexing
Model inference
Agents
Research workflows
Orchestration
Kafka
Redpanda
Pulsar
SQS
Pub/Sub
RabbitMQ
Temporal
Transactional outbox
Inbox patterns
Sagas
Reconciliation
Dead-letter handling
Replay
Historical backfill
CPU-aware scheduling
Memory-aware scheduling
Disk-aware scheduling
Network-aware scheduling
GPU-aware scheduling
Workload classification
Priority allocation
Starvation prevention
Tenant concurrency limits
Dependency concurrency limits
Placement constraints
Resource quotas
Noisy-neighbor isolation
PostgreSQL
Object storage
Redis
Elasticsearch
Typesense
Vector stores
Change-data-capture
Graph-storage systems
Distributed coordination
Concurrency controls
Leader election
Locks
Leases
Fencing tokens
Optimistic concurrency
Conflict resolution
Partition recovery
AWS
GCP
Azure
Terraform
Infrastructure as Code (IaC)
Vulnerability scanning
CI/CD
Deployment methods
SLO/Is
Error budgets
Release controls
Metrics
OpenTelemetry
Datadog
Fault injection
Load testing
Failure testing
E2E latency decomposition
Resource profiling
Dependency profiling
Platform security
Tenant isolation policies
GovCloud
Air-Gapped resources
Autoscaling
Compliance operations
Natural language understanding
Personalized relevance

Location

New York City

Work Type

Full-time
On-site

Experience Level

Staff
Senior

About the Company

Helios is building a new kind of company to solve America’s hardest problems, starting with the government interaction layer.
Government shapes every consequential market, but the infrastructure connecting public institutions and private organizations remains fragmented, manual, and difficult to navigate. Helios is rebuilding that layer.
Our core platform, Proxi, gives organizations the intelligence they need to understand what government is doing, why it matters, and what to do next. From that foundation, we design and deploy secure, mission-specific systems for government agencies, enterprises, and institutions operating in complex and highly regulated environments.
We bring together frontier AI, deep public-sector expertise, and forward-deployed execution. Our team includes leaders and builders from the White House, U.S. Department of State, Datadog, and Microsoft. We are backed by leading institutional investors and trusted by organizations working on high-stakes problems across government and industry.
Helios is a fast-moving startup with ambitious goals.
This is not a conventional 9-to-5 role.
This role offers unusual ownership, direct access to consequential institutions, and the opportunity to build systems that affect how major decisions are made.

Equal Opportunity

Helios is an equal opportunity employer.
We evaluate candidates based on their abilities, experience, and potential to contribute to our mission.
We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other status protected by applicable law.