1 day ago

Systems Engineer 2, Technical Solutions (US-East)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Own enterprise platforms used daily by Technical Solutions Operations, taking systems end-to-end from assessment and implementation through production monitoring and iteration. Engineer solutions via configuration, integrations, automations, and targeted code changes, partnering with Engineering when features ship into shared repos. Use AI coding tools and AI-powered techniques (LLMs, embeddings, RAG, agent frameworks) to accelerate development and build smarter workflows, while solving real business problems and improving adoption.

Location: New York, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•Own one or more enterprise platforms through the full lifecycle, understanding usage, gaps, vendor roadmaps, and needed changes.
•Build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of technical experts.
•Contribute to the Datadog codebase when needed, partnering with Engineering teams to build and ship TS-specific capabilities.
•Use AI coding tools in daily workflow to ship faster, explore systems, and automate tedious tasks.
•Monitor, maintain, and iterate on systems in production, diagnosing issues early and optimizing over time.

Pay and Benefits

Salary: USD 86,000 - 115,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental Leave401kPaid LeaveEquity

Key Requirements

•3-5 years of experience with enterprise platforms and production software, including administering, extending, or integrating systems such as Salesforce, Zendesk, Jira, or similar.
•Strong proficiency in Python, Go, or JavaScript/TypeScript (polyglot is a plus).
•Ability to work across the stack: build backend services, wire frontends, design APIs, and set up CI/CD pipelines.
•Demonstrated fluency with AI coding tools such as Copilot and Claude.
•Experience building AI-powered features using LLMs, embeddings, RAG pipelines, or agent frameworks.

Experience:3-5 yearsEnterprise softwareB2B SaaS

Skills:Systems thinkingCollaborationProblem-solvingAutomationCommunication

Languages:English

Tech Stack:ZendeskJiraConfluenceSalesforcePythonGoJavaScriptTypeScriptAPIsCI/CDCopilotClaudeLLMsEmbeddingsRAG pipelinesAgent frameworksFeature flagsObservabilityData pipelinesWeb services

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

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DataDog

1 day ago

Systems Engineer 2, Technical Solutions (US-East)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: New York, United States

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•Own one or more enterprise platforms through the full lifecycle, understanding usage, gaps, vendor roadmaps, and needed changes.
•Build and evolve enterprise systems, integrations, automations, and internal tools that multiply the effectiveness of technical experts.
•Contribute to the Datadog codebase when needed, partnering with Engineering teams to build and ship TS-specific capabilities.
•Use AI coding tools in daily workflow to ship faster, explore systems, and automate tedious tasks.
•Monitor, maintain, and iterate on systems in production, diagnosing issues early and optimizing over time.

Pay and Benefits

Salary: USD 86,000 - 115,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental Leave401kPaid LeaveEquity

Key Requirements

•3-5 years of experience with enterprise platforms and production software, including administering, extending, or integrating systems such as Salesforce, Zendesk, Jira, or similar.
•Strong proficiency in Python, Go, or JavaScript/TypeScript (polyglot is a plus).
•Ability to work across the stack: build backend services, wire frontends, design APIs, and set up CI/CD pipelines.
•Demonstrated fluency with AI coding tools such as Copilot and Claude.
•Experience building AI-powered features using LLMs, embeddings, RAG pipelines, or agent frameworks.

Experience:3-5 yearsEnterprise softwareB2B SaaS

Skills:Systems thinkingCollaborationProblem-solvingAutomationCommunication

Languages:English

Tech Stack:ZendeskJiraConfluenceSalesforcePythonGoJavaScriptTypeScriptAPIsCI/CDCopilotClaudeLLMsEmbeddingsRAG pipelinesAgent frameworksFeature flagsObservabilityData pipelinesWeb services

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn