Senior Software Engineer

Panda Strike — United States · Posted ~3 hours ago

Senior Full-time

Skills

software engineering code review system troubleshooting AI tools technical leadership software platforms

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A senior engineering role focused on technical leadership, platform improvements, AI tooling adoption, and supporting teams through problem solving and mentorship.

Highlights

Opportunity to lead technical initiatives, improve engineering practices, support AI adoption, and mentor other engineers.

Description

Perform code reviews for members of the team, bearing a sense of responsibility for approved code Anticipate and mitigate risk on projects Troubleshoot and resolve issues, problems, and errors encountered across various platforms Partner with engineering leadership across DEEPT to evangelize AI tool adoption and translate technical findings into insights that inform strategy and investment decisions Contribute to shared enablement platforms that help engineering teams across DEEPT discover, adopt, and learn modern AI tooling Lead technical direction across AIX’s product, platform, and impact-measurement work, and represent AIX’s tooling and impact findings to senior engineering leadership Effectively communicate with stakeholders on project progress Rotate onto other product Squads on demand to provide burst capacity or specialized skillsets when teams need extra support Actively participate in daily stand-ups and other scrum ceremonies Coach and mentor teammates in an open, respectful, flexible, empathetic manner. Help onboard new team members Basic Qualifications: BS, BA, or advanced degree in computer science/engineering or related field 5+ years hands-on professional experience with software development 1+ years of related experience crafting and operating large-scale, high-availability backend services 1+ years of experience operating within a Public Cloud Provider (e.g., AWS, Microsoft Azure, Google Cloud) Comprehensive knowledge of Java, Spring, and Server-Side Technologies Demonstrated knowledge crafting and operating JVM services Demonstrated knowledge of object-oriented programming patterns Demonstrated knowledge of source control systems and CI/CD pipelines Experience with observability tools for metrics, logging, and monitoring (e.g., Datadog, Splunk, Grafana) Ability to collaborate in a small, productive development team as well as the larger engineering organization Demonstrated knowledge of AGILE/Scrum practices Skilled at work breakdown and task estimation Proven track record of designing and driving consensus on software architecture Strong communication skills and a desire to share your knowledge with team members and others across Disney technology teams Motivated self-starter with the ability to learn and adapt to new technologies Demonstrated experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot) as part of your daily engineering workflow, with the ability to speak to their impact on velocity and code quality Experience integrating with or building on top of LLM/GenAI APIs (e.g., OpenAI, Anthropic Claude, AWS Bedrock) to deliver product or platform capabilities Preferred Qualifications: Experience on a significant consumer-facing product that is currently available 1+ years of related experience utilizing caching technologies Demonstrated knowledge of asynchronous programming Demonstrated knowledge of functional programming patterns Experience designing and building analytics or dashboard applications for a senior leadership or executive audience Familiarity with DORA metrics and other engineering performance frameworks Experience evangelizing new tools, technologies, or practices across an engineering organization Familiarity with measuring and communicating the ROI or impact of tooling and process changes Familiarity with retrieval-augmented generation (RAG) architectures, vector databases, and embeddings Experience with agentic or multi-step AI workflows