Application Support Engineer – AWS, Datadog, Typescript, .NET, Terraform

Stott and May Inc.

New York (NY)

Hybrid

USD 110,000 - 130,000

Full time

2 days ago
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Job summary

Stott and May Inc. in New York is seeking an Applications Support Engineer with a path to Site Reliability Engineering. This hybrid role combines on-site presence in New York with US hours and a focus on incident response, monitoring, and automation to keep our fintech platform reliable and scalable.

You will own incidents, improve runbooks and dashboards, and work with engineering and business teams. This is the first US technical hire and offers growth toward SRE expertise.

Qualifications

  • Production experience in application support or site reliability engineering.
  • Knowledge of SRE principles, including SLIs, SLOs, error budgets and blameless post-mortems.
  • Experience with observability tools such as Datadog and cloud platforms such as AWS or Azure.
  • Proficiency in a programming or scripting language such as TypeScript, .NET, Bash or PowerShell.
  • Knowledge of SQL, databases, networking fundamentals, and Linux and Windows systems.
  • Strong problem-solving, prioritisation and communication skills, with the ability to remain calm under pressure.
  • A proactive, customer-focused approach to technical challenges.
  • Infrastructure as code, such as Terraform, CloudFormation or AWS CDK.
  • DevOps deployment tools such as TeamCity, Octopus Deploy or Docker.
  • Exposure to AI/ML platforms, prompt engineering or LLM API integrations.

Responsibilities

  • Own and resolve platform and infrastructure incidents, working with cross-functional teams to restore service quickly.
  • Build and maintain runbooks, post-mortems and internal documentation.
  • Improve monitoring, alerting and dashboards.
  • Reduce operational overhead through automation and reliability engineering.
  • Improve support processes and applications.
  • Train and coach members of the UK on-call support rota.

Skills

SRE principles
Incident response
Problem-solving
Communication
Prioritisation
Customer focus

Tools

Datadog
AWS
Azure
TypeScript
PowerShell
Bash
SQL
Linux
Windows
Terraform
CloudFormation
Docker

Job description

New York (Hybrid)

$110,000 - $130,000 + bonus

Working with a phenomenal Fintech business Application Support Engineer, you will help keep our platform and infrastructure reliable, scalable and running smoothly through incident response, monitoring, automation, and collaboration with engineering and business teams. As the business’s first US technical hire, you will provide on-the-ground support from our New York office and extend platform coverage into US working hours. Training and development will support your progression towards becoming a Site Reliability Engineer.

Duties & Responsibilities
  • Own and resolve platform and infrastructure incidents, working with cross-functional teams to restore service quickly.
  • Build and maintain runbooks, post-mortems and internal documentation.
  • Improve monitoring, alerting and dashboards.
  • Reduce operational overhead through automation and reliability engineering.
  • Improve support processes and applications.
  • Train and coach members of the UK on-call support rota.
Required skills and experience
  • Production experience in application support or site reliability engineering.
  • Knowledge of SRE principles, including SLIs, SLOs, error budgets and blameless post-mortems.
  • Experience with observability tools such as Datadog and cloud platforms such as AWS or Azure.
  • Proficiency in a programming or scripting language such as TypeScript, .NET, Bash or PowerShell.
  • Knowledge of SQL, databases, networking fundamentals, and Linux and Windows systems.
  • Strong problem-solving, prioritisation and communication skills, with the ability to remain calm under pressure.
  • A proactive, customer-focused approach to technical challenges.
  • Infrastructure as code, such as Terraform, CloudFormation or AWS CDK.
  • DevOps deployment tools such as TeamCity, Octopus Deploy or Docker.
  • Exposure to AI/ML platforms, prompt engineering or LLM API integrations.
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