S

Specter

AI-powered deal-sourcing data platform

Platform Site Reliability Engineer

Full-Time
No salary listed
Mid
San Francisco, CA, USA
In Person
DevOps & InfrastructureSite Reliability Engineering

About the job

Requirements
  • Strong Linux systems knowledge and experience diagnosing production systems.
  • Hands-on experience operating Kubernetes in production, including networking, storage, resource management, upgrades, and troubleshooting.
  • Strong experience using Terraform to manage production cloud infrastructure.
  • Experience with Amazon Web Services, including identity and access management, networking, compute, storage, and Amazon Elastic Kubernetes Service.
  • Solid networking fundamentals, including domain name system, load balancing, firewalls, virtual private networks, subnets, and routing.
  • Experience building operational tooling and automation using Python, Go, Bash, or a similar language.
  • Strong ownership during incidents and the ability to turn ambiguous failures into lasting improvements.
Responsibilities
  • Debug production issues across Kubernetes clusters, Linux systems, Amazon Web Services infrastructure, networking, and application workloads.
  • Lead incidents from detection through recovery, coordinating across teams when failures span multiple parts of the system.
  • Participate in an on-call rotation and follow incidents through to durable fixes.
  • Build, operate, and improve the Kubernetes platform and the Amazon Web Services infrastructure supporting it.
  • Manage production infrastructure with Terraform, including reusable modules, automated validation, and safe change workflows.
  • Reduce operational toil through automation while improving deployment tooling, continuous integration and continuous delivery, and developer workflows.
  • Design and improve observability into system health, functionality, and performance through logging, metrics, tracing, dashboards, and alerting across Kubernetes workloads and Amazon Web Services infrastructure.
  • Define meaningful service-level indicators and objectives, and close telemetry gaps before they become incidents.
  • Develop runbooks, incident-response procedures, post-incident reviews, and operational readiness standards.
Desired Qualifications
  • Experience supporting connected devices, edge computing, or on-premises infrastructure alongside cloud systems.
  • Experience with continuous integration and continuous delivery, GitOps, or Kubernetes multi-cluster environments.
  • Familiarity with cloud and Kubernetes security practices.
  • Experience reading firmware logs or low-level Rust or C code when debugging across the edge-to-cloud boundary.
  • Experience with NixOS and managing Nix-based development infrastructure.

About the company

Specter provides AI-powered data and deal-sourcing for private markets. It aggregates real-time data on 50M+ companies and 500M+ professionals to help VC, PE, and corporate development teams find and track investment opportunities. It surfaces insights from funding rounds, M&A activity, revenue signals, headcount growth, web traffic, product updates, and people movements, with features like hot signals, custom alerts, API, bulk data delivery, Chrome extension, and CRM enrichment. Its goal is to help clients source deals more efficiently, analyze markets more accurately, and anticipate opportunities by surfacing warm introductions and relationship networks.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2019

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Simplify's Take

What believers are saying

  • Specter's 2026 agent launch expands usage from search to active research execution.
  • Trusted by 400+ elite firms, Specter has credible distribution inside venture and private equity.
  • Updated 2026-08-28 data and live web ingestion keep alerts fresh for time-sensitive deal sourcing.

What critics are saying

  • PitchBook, Crunchbase, and CB Insights can bundle similar workflows and squeeze pricing by 2027.
  • Specter remains bootstrapped, limiting acquisition-firepower against well-funded rivals like Harmonic and Affinity.
  • If Specter Agent disappoints users, product differentiation collapses into another searchable database.

What makes Specter unique

  • Specter launched Specter Agent on 2026-09-03, automating private-market research workflows.
  • Specter combines 55M companies, 550M people, investors, and transactions in one workspace.
  • Specter serves 400+ firms, and its CRM-linked skills standardize repeatable sourcing playbooks.

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Benefits

Health Insurance

Paid Vacation

Remote Work Options

Hybrid Work Options

Wellness Program

Mental Health Support

401(k) Retirement Plan

Stock Options

Company Equity

Conference Attendance Budget

Professional Development Budget

Home Office Stipend

Phone/Internet Stipend

Company News

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