Responsibilities
- Architect, build, and own highly available, fault-tolerant transactional services capable of sub-second performance at millions of transactions per second.
- Lead the end-to-end design and implementation of agentic AI workflows using orchestration frameworks, tool calling, and multi-agent coordination on AWS.
- Write production-grade Python and Go services and establish language-specific engineering standards and performance baselines.
- Design and govern AWS-native infrastructure across compute, storage, messaging, and networking services.
- Establish code review, test coverage, CI/CD, and observability standards across engineering teams.
- Lead technical design reviews and produce architecture decision records and technical specifications.
- Resolve distributed-system performance bottlenecks involving databases, caching, and asynchronous processing.
- Guide technology proofs of concept and evaluate production readiness for engineering leadership.
- Mentor and develop senior and mid-level engineers through code reviews, pairing, and technical coaching.
- Participate in on-call rotations, incident response, and post-mortem processes to improve systemic reliability.
Requirements
- Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical discipline.
- 8+ years of professional software engineering experience, including 3+ years in a staff-level, principal, or equivalent technical leadership role.
- 4+ years of hands-on experience building and operating production services on AWS.
- 2+ years of professional Python development, including asyncio, FastAPI, Pydantic, and asynchronous programming patterns.
- 2+ years of production Go experience building microservices.
- Experience architecting and operating high-volume OLTP systems, event-driven architectures, distributed caches, and saga or outbox patterns.
- Hands-on experience building agentic AI systems, including orchestration, tool or function calling, RAG pipelines, and LLM integration patterns.
- Experience with relational and non-relational databases, query optimization, and large-scale schema design.
- Proficiency with Docker and infrastructure-as-code tools such as Terraform, CDK, or Helm.
- Experience with observability tools such as Datadog, OpenTelemetry, or CloudWatch.
- Experience owning and evolving CI/CD pipelines using Jenkins, GitHub Actions, or Harness.
- Experience integrating asynchronous messaging systems such as Kafka and SQS and designing event-driven architectures.
- Experience mentoring engineers and driving company-level improvements in engineering culture, quality, and velocity.
Benefits
- Great compensation package and bonus plan.
- Medical, dental, vision, and matching 401(k) benefits.
- Flexible work environment with remote, hybrid, or in-office options.
- Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays.
Tech Stack
Categories
About Experian
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.