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New Relic Engineer Jobs

2 jobs found

1mo ago

Software Engineer I

Disney Entertainment and ESPN Product & Technology Glendale, CA

Glendale, CA

1mo ago Closed

$98k - $131k/yr Full time Backend Developer Analytics Automation

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Software Engineer I role on the Observability & Insights group, building telemetry, monitoring, and insights platforms for Disney’s large-scale streaming services.

Responsibilities

Develop, test, and document features within established observability codebases (metrics, logs, traces, dashboards, alerting, telemetry pipelines).
Fix bugs and reduce technical debt in assigned components with support from senior teammates.
Write clean, readable, well-tested code aligned with team standards and observability frameworks.
Learn and apply patterns for high-volume, low-latency telemetry ingestion and storage.
Assist with service instrumentation and validate telemetry quality (metrics, logs, traces) with partner engineering teams.
Build and update dashboards, reports, and visualizations to highlight system health and operational trends.
Tune alerts and reduce noise with guidance from senior engineers and incident response partners.
Participate in code reviews, providing and receiving constructive feedback.
Contribute to technical design discussions for small-to-medium features and document work for maintainability and onboarding.
Gain exposure to AWS, Kubernetes, and Infrastructure as Code (IaC) through guided implementation tasks.
Shadow on-call rotations and incident response workflows to build operational awareness.
Break down assigned work into clear tasks, communicate progress and blockers early, and ask questions proactively.
Partner across Observability & Insights and service engineering teams to deliver incremental improvements.
Join team rituals including standups, sprint planning, retrospectives, and knowledge-sharing.
Develop foundational reliability engineering skills such as SLIs, SLOs, post-incident reviews, and a blameless culture.

Requirements

Proficiency in at least one backend or systems programming language: Go or Python (coursework, internships, and personal projects count).
Foundational software development practices: Git, unit testing, debugging, and working in an existing codebase.
Basic cloud computing concepts with interest in learning AWS and Kubernetes in production.
Introductory observability concepts: metrics, logs, tracing, and alerting, or strong motivation to learn quickly.
Clear communication, feedback acceptance, and effective collaboration in a distributed engineering team.

Technologies

Go, Python
Git
AWS
Kubernetes
Infrastructure as Code (IaC)
metrics, logs, traces, dashboards, alerting
telemetry pipelines
SLIs, SLOs
Grafana, Prometheus
OpenTelemetry
Datadog, New Relic
distributed systems, data pipelines, event-driven architectures
Kafka
CI/CD

Preferred Qualifications

0–2 years of professional software engineering experience, or completion of a relevant internship, co-op, or new-graduate program with demonstrated project work.
Internship/co-op/project experience related to observability, SRE, DevOps, or platform engineering.
Exposure to observability tools or standards: Grafana, Prometheus, OpenTelemetry, Datadog, New Relic, or similar.
Experience with distributed systems, data pipelines, or event-driven architectures (academic, internship, or side projects).
Contributions to open source, hackathons, or personal projects showing curiosity and initiative.
Coursework or experience with databases, streaming systems (e.g., Kafka), or CI/CD pipelines.
Familiarity with AI-assisted development workflows and a growth mindset toward modern engineering practices.

Compensation and Benefits

Salary range: USD 97,500 - 130,700 per year.
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on level and position.

Company and Team Context

Product Engineering is a unified team responsible for engineering Disney Entertainment & ESPN digital and streaming products and platforms.
Observability & Insights supports telemetry, monitoring, and insights platforms that help keep Disney’s large-scale streaming services reliable, including Disney+, Hulu, ESPN, ABC, and ABC News, plus related products.

Required Education

Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a comparable field of study, or equivalent work experience.

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2mo ago

Software Engineer II - Marketing Technology

Home Depot / THD Atlanta, GA 🇺🇸 Remote

Atlanta, GA

2mo ago Closed

Full time Marketing AI Enablement Ai Ops

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Based in Atlanta with remote options, the Software Engineer II in Home Depot's TechOps organization focuses on application stability, proactive readiness, and AI-driven incident management across core marketing and IT ecosystems. This role designs AI-enabled solutions, leads onboarding and training, and translates support telemetry into actionable insights to ensure day-one stakeholder success.

Responsibilities

Intelligent Automation and AI Ops: Collaborates on designing and deploying AI-enabled solutions and ML models to enhance proactive anomaly detection, automate root-cause analysis, and support self-healing incident resolution.
Centralized Support and Incident Triage: Oversees the primary L1-L3 intake pipeline to triage, troubleshoot, and remediate advanced application tickets, reducing MTTR and shielding stakeholders from complex platform errors.
Application Health and Defensive QA: Works with core engineering to build health validation pipelines and monitors data flows to identify data-mapping anomalies before they impact downstream execution.
Launch Readiness and Technical Documentation: Serves as the onboarding partner for new IT capabilities, producing system diagrams, data dictionaries, job schedules, and API mappings to ensure day-one platform supportability.
Technical Product Training and Onboarding: Leads creation and delivery of technical product training to onboard new teams, focusing on UI navigation, deep configuration rules, and platform capabilities.
Lifecycle Optimization and Support Telemetry: Conducts blameless post-mortems and converts support telemetry into actionable engineering backlogs to drive permanent platform improvements and monitor product-level SLOs.
Automation and Scripting: Develops custom code, scripts, and automated ticketing paths to streamline workflows, optimize event monitoring, and coordinate backend routing between IT and business teams.
Advanced Platform Operation: Configures and tunes complex homegrown tools, data products, and third-party solutions where self-service capabilities are unavailable.
Professional Growth: Seeks opportunities to grow through formal and informal development channels, learning from both successes and failures when addressing new problems.
Collaborative Execution: Partners with teammates in agile processes, contributes to better ways for the team to succeed, and builds effective relationships across diverse groups to achieve shared objectives.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Technologies

Java
Python
Bash
SQL
NoSQL
Git
Splunk
Datadog
New Relic
Dynatrace
Jira Service Management
ServiceNow

Direct Manager / Direct Reports

This position typically reports to a Software Engineer Manager or Senior Manager and has zero direct reports.

Travel Requirements

No travel required.

Physical Requirements

Primarily sedentary with frequent opportunities to move; occasional light lifting may be required.

Working Conditions

Operates in a comfortable indoor environment; any adverse conditions are infrequent and not objectionable.

Minimum Qualifications

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Preferred Qualifications

1-3 years of relevant work experience in a DevOps, SRE, TechOps, or Production Support Engineering role.
Experience with an object-oriented programming language (preferably Java) alongside scripting languages for automation and AI (preferably Python or Bash).
Proficiency in modern debugging, root cause analysis, and log analysis techniques.
Experience with cloud infrastructure and CI/CD pipelines.
Ability to write complex SQL queries and work with Relational or NoSQL databases.
Experience with monitoring, logging, and observability tools (Splunk, Datadog, New Relic, Dynatrace) for event monitoring and proactive alerting.
Exposure to AI/ML-driven automation or intelligent anomaly detection (AIOps).
Understanding of data engineering concepts, data pipelines, and debugging data-mapping architectures.
Experience with enterprise ticketing platforms (Jira Service Management, ServiceNow) and automated ticket routing or system APIs.
Experience creating technical documentation, infrastructure diagrams, data dictionaries, or delivering end-user training.
Exposure to security frameworks for user authorization, authentication, and access control.
Experience with functional, integration, and resilience testing.
Experience with Git or equivalent source control.

Minimum Education

The knowledge, skills and abilities typically gained through a bachelor’s degree or equivalent in a related field.

Preferred Education

No additional education

Minimum Years of Work Experience

Preferred Years of Work Experience

No additional years of experience

Minimum Leadership Experience

None

Preferred Leadership Experience

None

Certifications

None

Competencies

Global Perspective
Manages Ambiguity
Nimble Learning
Self-Development
Collaborates
Cultivates Innovation
Situational Adaptability
Communicates Effectively
Drives Results
Interpersonal Savvy

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New Relic Engineer Jobs

Software Engineer I

Software Engineer II - Marketing Technology

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