Senior Platform Engineer - Golang
About The Position
The Senior Platform Engineer leads the design, development, and evolution of platform services, automation solutions, and cloud-native engineering capabilities to improve software delivery, reliability, scalability, security, and developer productivity. The role builds reusable platform products, shared services, self-service capabilities, and intelligent automation solutions, while establishing engineering standards and best practices. Working across engineering, product, architecture, security, and operations, the engineer supports platform adoption and advances organizational maturity across the AI-Driven Development Lifecycle (AIDLC). This is a software engineering role within Platform Engineering, focused on foundational shared services, enterprise libraries, client SDKs, and developer-facing AI capabilities. It treats internal engineers as customers by building reusable software products, high-throughput APIs, and agentic AI integrations that reduce boilerplate, standardize practices, and accelerate engineering teams. The role is not focused on managing cloud infrastructure or operations. The position is in a normal office environment and may be remote or hybrid. Employees located within 60 miles of a posted Bread Financial location are required to work in office 3 to 4 days per month. Travel may be up to 5% quarterly. The position reports to a Manager and above and has no direct reports.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- One cloud certification: AWS Cloud Practitioner, Microsoft Azure Fundamentals, or Google Cloud Digital Leader.
- 5–8 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related disciplines.
- Golang.
- Microservice architecture.
- Platform management and systems architecture.
- Service platforms, APIs, and SDKs.
- IT automation, AWS, CI/CD, and Site Reliability Engineering.
- Generative AI, AI architecture, and GitHub Copilot.
- Must be authorized to work in the United States full time without current or future sponsorship.
Nice To Haves
- Experience in Golang development.
- Familiarity with AWS and microservices.
- Master’s degree in Information Technology, Computer Science, Engineering, or a related field.
- Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies.
Responsibilities
- Define strategic direction for platform engineering capabilities; lead the architecture and design of enterprise platforms and shared services; establish standards, reference architectures, and reusable patterns; and drive cloud-native modernization, APIs, SDKs, frameworks, and self-service capabilities aligned with business goals and productivity.
- Define enterprise automation strategies for the AI-driven development lifecycle; lead intelligent automation platforms, AI-powered capabilities, and autonomous workflows; establish automation-first standards and governance; and promote AI-agent adoption and enterprise-wide orchestration.
- Define strategies for platform reliability, resilience, scalability, and performance; lead CI/CD, observability, and operational intelligence capabilities; establish infrastructure-as-code, deployment automation, and cloud operations standards; and use metrics to improve delivery and reliability.
- Define platform-wide governance, security, compliance, and risk strategies; establish enterprise guardrails, policy frameworks, and secure-by-design principles; and develop automated compliance and security capabilities with partner teams.
- Provide technical leadership across platform engineering initiatives; influence roadmaps, platform investments, and technology adoption; lead cross-functional work; mentor engineers and develop technical leaders; and foster knowledge sharing, innovation, collaboration, continuous improvement, and engineering excellence.
- Define and drive the developer experience vision; lead self-service ecosystems and establish standards for onboarding, development, testing, deployment, and support; sponsor reusable accelerators, templates, and platform capabilities; and drive adoption through enablement and feedback.
- Define the vision for AI-enabled engineering platforms and agent ecosystems; lead adoption of LLMs, agent orchestration, MCP, RAG, and emerging AI technologies; establish standards for scalable AI-powered solutions; and guide intelligent developer experiences and autonomous engineering capabilities.
Benefits
- Medical, prescription drug, dental, and vision benefits for eligible associates and their eligible dependents.
- Voluntary benefits, including basic and optional life insurance, supplemental medical plans, and short- and long-term disability.
- Six weeks of 100% paid parental leave for eligible parents after a 180-day waiting period.
- 401(k) plan with immediate enrollment eligibility.
- 11 paid holidays.
- Flexible Time Off (FTO) program.
- Paid Sick and Safe Time; Illinois associates also receive Illinois Paid Leave.
- Option to purchase company stock during offering periods in June and December.
- Annual incentive bonus based on individual and company performance.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
