Site Reliability Engineer

skillventory - A Leading Talent Research Firm

Site Reliability Engineer at Fidelity developing software solutions to enhance production systems. Using Node.js and AI tools to improve operational efficiency and reliability.

Posted 6/10/2026full-timeSmithfield • New Hampshire, Rhode Island, Texas • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsJavaScriptNode.jsPythonSQLTypeScript

About the role

Key responsibilities & impact

Build software solutions to improve reliability, reduce operational toil, and scale production systems—not just respond to issues.
Develop production-quality code using Node.js / JavaScript / TypeScript and Python/PowerShell, including testing and documentation.
Leverage modern development tooling such as VS Code and AI-assisted tools (e.g., GitHub Copilot) to accelerate delivery and problem-solving.
Independently own well-scoped features, fixes, or improvements end-to-end—from design through deployment and operational validation.
Participate in on-call rotations, respond to incidents, execute runbooks, and ensure clear communication and handoffs.
Analyze incidents and recurring issues to identify patterns, reduce alert noise, and implement durable fixes.
Implement and improve observability (logging, metrics, dashboards, alerts) for owned services.
Build automations, scripts, and lightweight tools to eliminate repetitive manual work and improve operational efficiency.
Identify and act on opportunities to improve system reliability, performance, and maintainability.
Develop an understanding of how systems impact customer experience and business outcomes.

Requirements

What you’ll need

~2 plus years of experience in SRE, software engineering, DevOps, or production engineering.
Strong hands-on coding skills with emphasis on: Node.js / JavaScript / TypeScript, Python for scripting and automation
Experience building tools, APIs, or automations to solve engineering or operational problems.
Familiarity with AI-assisted development workflows (e.g., GitHub Copilot, code generation tools) and interest in applying AI/LLMs to improve engineering productivity.
Foundational knowledge of: Monitoring, logging, and observability concepts, distributed systems and API-based architectures, SQL and data analysis for troubleshooting
Exposure to cloud platforms (AWS or Azure), CI/CD pipelines, and modern development practices.
Basic understanding of incident management, problem management, and production support processes.

Benefits

Comp & perks

Health insurance
401(k) retirement plans
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Node.jsJavaScriptTypeScriptPythonPowerShellSQLmonitoringloggingobservabilityautomation

Soft Skills

communicationproblem-solvingindependenceanalytical thinkingcollaboration