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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in software development and technical leadership, with a strong focus on real-time systems, AI-assisted engineering, and operational excellence. Proven ability to mentor teams, drive technical outcomes, and ensure high standards in system design and code quality.
Highest-signal resume keywords
Java DevelopmentTechnical LeadershipReal-Time Systems DesignAI Coding Tools UsageKubernetes Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentDistributed SystemsMultithreaded ApplicationsRelational DatabasesSQLCassandraYugabyteFlinkSparkKafka
Soft Skills
MentoringTechnical Decision-MakingRisk ManagementCollaboration
Tools & Technologies
Spring FrameworkAI AgentsLLM APIsAgent FrameworksTool Calling
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceEU Citizen or Ireland PR
Industry Keywords
FraudRiskPaymentsFinancial ServicesML Platforms
Tech Stack
Tools & technologiesCassandraJavaKafkaKubernetesPythonShell ScriptingSparkSpringSQL
About the role
Key responsibilities & impact- Own the technical direction of the real-time detection platform, including streaming, storage, and the training pipelines that support it
- Translate product and engineering roadmaps into clear technical plans, milestones, and execution priorities
- Proactively identify technical risks, dependencies, and trade-offs before they impact delivery
- Lead design and architecture reviews, make technical trade-off decisions, and document the reasoning behind key decisions
- Stay hands-on by coding, reviewing code, debugging issues, and supporting the team during production incidents
- Mentor engineers and raise the bar for system design, code quality, operational excellence, and technical execution
- Own the operational health of the platform, including alert quality, on-call load, incident follow-through, and root-cause prevention
- Partner directly with Product, TAM, and customer-facing teams on customer-impacting issues, ensuring clear impact assessment, prioritization, ownership, and next steps
- Define how the team uses AI agents and AI-assisted tools in engineering workflows, including verification standards and safe usage practices
- Build, evaluate, and improve LLM- and agent-assisted tools for engineering and operations use cases, such as triage, root-cause analysis, alert summarization, and evaluation harnesses
Requirements
What you’ll need- 8+ years of software development experience
- 2+ years of technical leadership experience as a tech lead, staff engineer, engineering manager, or similar role
- Proven ability to lead technical outcomes across a team, including work you did not personally implement
- Deep production experience with Java, along with working proficiency in Python and Shell scripting
- Experience designing, building, shipping, and operating distributed real-time systems at scale
- Strong knowledge of computer systems, relational databases, and SQL
- Experience building and optimizing multithreaded and concurrent applications
- Hands-on experience with Cassandra, Yugabyte, Flink, Spark, or Kafka
- Experience with the Spring Framework
- Demonstrated use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in real production work
- Ability to set team-level standards for AI-assisted engineering, including how tools are used, how outputs are verified, and when AI-generated suggestions should be rejected
- Strong verification discipline, with the ability to validate model outputs against source code, logs, documentation, and production behavior
- Bachelor’s degree in Computer Science or a related field is required
- EU Citizen or Ireland PR is required
- Experience in fraud, risk, payments, financial services, or another domain where false negatives carry significant business or customer impact
- Experience owning ML platforms or large-scale training pipelines
- Experience with Kubernetes
- Experience building with LLM APIs, agent frameworks, tool calling, RAG, or MCP
- Experience writing evaluations or regression tests for non-deterministic systems
- Experience hiring, managing, or mentoring engineers
- Experience with test-driven development
Benefits
Comp & perks- Health insurance
- PTO
- Equity