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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 will join the Observability & Insights group to help build telemetry, monitoring, and insights platforms that support Disney’s large-scale streaming services.

Responsibilities

Develop, test, and document features in existing observability codebases across metrics, logs, traces, dashboards, alerting, and telemetry pipelines.
Fix bugs and address technical debt in assigned components with support from senior teammates.
Write clean, readable, and well-tested code aligned to team standards and established 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 for system health and operational trends.
Tune alerting and reduce noise under guidance from senior engineers and incident response partners.
Participate in code reviews by giving and receiving constructive feedback.
Contribute to technical design discussions for small-to-medium features and document work for maintainability and onboarding.
Work on guided implementation tasks to gain exposure to AWS, Kubernetes, and Infrastructure as Code (IaC).
Shadow on-call rotations and incident response workflows to build operational awareness.
Break down assigned work into clear tasks, ask questions early, and communicate progress and blockers proactively.
Partner across the Observability & Insights group and service engineering teams to deliver incremental improvements.
Participate in team rituals including standups, sprint planning, retrospectives, and knowledge-sharing.
Build foundational skills in reliability engineering concepts such as SLIs, SLOs, post-incident reviews, and blameless culture.

Requirements

Proficiency in at least one backend or systems programming language: Go or Python (coursework, internships, and personal projects count).
Foundational knowledge of software development practices: Git, unit testing, debugging, and working within an existing codebase.
Basic familiarity with cloud computing concepts, with interest in learning AWS and Kubernetes in production environments.
Introductory understanding of observability concepts: metrics, logs, tracing, alerting (or strong motivation to learn quickly).
Ability to communicate clearly, accept feedback, and collaborate effectively 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, or project experience related to observability, SRE, DevOps, or platform engineering.
Exposure to observability tools or standards such as 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.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Role Details

Location: Glendale, CA (onsite)
Compensation: USD 97,500 - 130,700 per yearly
Team: Product Engineering, the unified team responsible for engineering Disney Entertainment & ESPN digital and streaming products and platforms
Group: Observability & Insights
Products supported: Disney+, Hulu, ESPN, ABC, ABC News, and 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

The Software Engineer II in TechOps at Home Depot is responsible for maintaining application stability, enabling proactive operational readiness, and guiding AI driven incident management across the company’s marketing and IT ecosystems. The role designs and implements AI powered solutions, leads onboarding and training efforts, and converts support telemetry into actionable insights to ensure day one stakeholder success.

Responsibilities

Contributes to the design, development, and deployment of AI driven solutions and ML models to boost proactive anomaly detection, automate root cause analysis, and enable self healing issue resolution.
Oversees the centralized intake workflow for L1/L2/L3 support to triage, troubleshoot, and remediate advanced application level tickets, reducing MTTR and shielding stakeholders from complex platform errors.
Partners with core engineering to build application specific health validation pipelines and monitors active data flows to isolate data mapping anomalies before they impact downstream execution.
Acts as the operational onboarding partner for new IT capabilities, producing essential technical documentation including system diagrams, data dictionaries, job schedules, and API mappings to ensure day one platform supportability.
Leads the creation and delivery of technical product training to onboard new teams, focusing on user interface navigation, deep configuration rules, and platform capabilities.
Conducts blameless post mortems and translates support telemetry into actionable engineering backlogs to drive permanent platform improvements and track product level SLOs.
Develops custom code, scripts, and automated ticketing paths to streamline workflows, optimize event monitoring, and manage backend routing protocols between IT and business teams.
Directly operates, configures, and tunes complex homegrown tools, data products, and commercial off the shelf solutions where business self service capabilities are unavailable.
Seeks growth through formal and informal development channels, applying lessons learned from both successes and failures when addressing new problems.
Collaborates within agile processes, helps create improved practices for team success, communicates openly with diverse groups, and builds partnerships 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

Reporting Structure

This position typically reports to a Software Engineer Manager or Sr. Manager and has no direct reports.

Travel Requirements

No travel is required for this role.

Physical Requirements

Most tasks involve seated work with occasional light movement. There may be rare instances requiring lifting of light objects.

Working Conditions

Work is performed in a comfortable indoor environment with infrequent, non disruptive conditions.

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 experience in DevOps, SRE, TechOps, or Production Support Engineering.
Proficiency in an object oriented language (preferably Java) along with scripting languages used for automation and AI implementation (preferably Python or Bash).
Experience with modern debugging, root cause analysis, and log analysis techniques.
Experience with cloud computing infrastructure and CI/CD deployment pipelines.
Ability to write complex SQL queries and work with Relational or NoSQL databases.
Experience with application monitoring, logging, and observability tools such as Splunk, Datadog, New Relic, or Dynatrace.
Exposure to building or implementing AI/ML driven automation solutions or intelligent anomaly detection tools (AIOps).
Understanding of data engineering concepts, data pipelines, and debugging data mapping architectures.
Exposure to enterprise ticketing platforms (e.g., Jira Service Management, ServiceNow) and automated ticket routing or system APIs.
Experience in creating technical documentation, infrastructure diagrams, data dictionaries, or delivering technical training to end users.
Exposure to security frameworks for user authorization, authentication, and access protocols.
Experience with functional, integration, and destructive resilience testing.
Familiarity with Git or similar source control systems.

Minimum Education

Bachelor's degree or equivalent in a related field.

Preferred Education

No additional education beyond the bachelor’s degree is required.

Minimum Years of Work Experience

2 years.

Competencies

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

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Software Engineer I

Software Engineer II - Marketing Technology

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