Sr. Platform Software Engineer

Standard Template Labs

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NYC, NY on site Until 8/21/2026 5+ years exp First posted May 4, 2026 Last posted May 4, 2026
Job description

Standard Template Labs is an AI-native, seed stage startup reimagining the future of IT Service and Configuration Management. Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design to transform how enterprises manage and engage with their technology ecosystems.

The role

We’re looking for a Senior Platform Software Engineer to build the systems, tooling, and internal platform that make engineers dramatically more productive.

This role sits at the intersection of:

  • Platform engineering

  • Developer experience (DevEx)

  • Infrastructure automation

  • Distributed systems

You’ll build the foundation that enables engineers to Ship faster, Deploy safely, Debug quickly & Operate confidently in production

This is a highly hands-on engineering role. You’ll write code, design systems, and shape how engineering works across the company.

What you’ll work on

Developer Productivity & Internal Platform

  • Build and evolve our internal developer platform (IDP)

  • Create self-service tooling that makes spinning up services, environments, and infrastructure effortless

  • Improve local development workflows, testing, deployment ergonomics, and developer feedback loops

  • Reduce operational friction through automation and platform abstractions

CI/CD & Release Engineering

  • Design and maintain scalable CI/CD systems using GitHub Actions &Infrastructure-as-code workflows

  • Improve: Build times, Deployment reliability & Rollback and recovery systems

  • Create deployment workflows that are fast, observable, and boring in production

Cloud Infrastructure & Kubernetes

  • Design and operate cloud-native systems on AWS, EKS, Docker & Kubernetes

  • Improve platform scalability, resilience, and developer onboarding

  • Define service architecture and deployment standards across the engineering organization

Observability & Reliability

  • Own observability across the platform using Datadog, Metrics, Logging and Distributed tracing

  • Build dashboards, alerts, and operational tooling engineers actually use

  • Improve reliability, performance, and operational visibility across services

Distributed Systems & Platform Services

  • Work across core infrastructure systems including: PostgreSQL, Kafka, Redis & Temporal

Engineering Enablement

  • Partner closely with backend and AI engineers to improve platform usability

  • Establish engineering standards and platform best practices

  • Make infrastructure feel like a product, not a support function

Bonus points

  • Experience building Internal Developer Platforms (IDPs)

  • Experience in high-growth or early-stage startups

  • Experience with AI/ML infrastructure

  • Experience designing multi-service distributed systems

Why this role matters

Most companies treat platform engineering as support.

We don’t. This team will define how every system is built, every engineer work and how fast we can ship. If we get this right, everything else gets easier.


As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. The reasonably estimated yearly salary for this role at is: $160,000—$250,000 USD.

About this role

Summary

Build internal platforms, automation, and cloud systems to improve engineering productivity and reliability.

Job title

Senior Platform Software Engineer

Experience level

senior level

Minimum experience

5+ years exp

Industry

technology

Location requirements

NYC, NY, on-site work required

Salary

$160k–$250k

Management role

No

Skills & keywords

Required skills

AWSKubernetesDockerGitHub ActionsDatadogPostgreSQLKafkaRedisTemporal

Preferred skills

internal developer platformsAI/ML infrastructuremulti-service distributed systems

Specializations

platform engineeringdevexinfrastructure automationdistributed systems
Locations

Structured locations inferred from the posting.

New York, NY, USA

On-site City