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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering and systems architecture, with a strong focus on developing AI-driven solutions and automating processes. Proven ability to mentor teams, collaborate across functions, and apply critical thinking to solve complex problems in capital markets.
Highest-signal resume keywords
C#/.NET ProficiencyMicroservices ArchitectureAWS ExperienceGenerative AI KnowledgeAutomated Testing
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 EngineeringSystems ArchitectureHands-On DevelopmentNode.jsTypeScriptAngularPostgreSQLRedisDockerKubernetes
Soft Skills
Strong CommunicationCollaboration SkillsCritical ThinkingCuriosityAdaptability
Tools & Technologies
AWS ECSAWS LambdaRabbitMQKafkaOpenTelemetryGrafanaGitLab CI/CDCloudWatchSecure SDLCOWASP
Industry Keywords
Capital MarketsFinancial SectorBlockchainSmart ContractsTokenization
Tech Stack
Tools & technologiesAngularAWSDockerGrafanaJavaScriptKafkaKubernetesLinuxNext.jsNode.jsPostgresRabbitMQReactRedisSDLCTypeScript.NET
About the role
Key responsibilities & impact- Work on critical systems in the capital markets
- Contribute to the evolution of solution architecture and reliability
- Develop new capabilities with Artificial Intelligence applied to products and business
- Investigate complex problems and propose solutions
- Create intelligent agents and integrate LLMs
- Automate processes with AI and transform emerging technologies into valuable solutions for customers
- Perform hands-on development
- Mentor professionals and contribute to the team’s technical growth
- Collaborate with Product, Operations, Engineering, and customers
Requirements
What you’ll need- Solid experience in software engineering, systems architecture, and hands-on development
- Proficiency in C#/.NET and experience with Node.js, TypeScript, and Angular
- Experience with microservices, REST APIs, event-driven architecture, and distributed systems
- Practical knowledge of DDD, Clean Architecture, Hexagonal Architecture, SOLID, CQRS, and Design Patterns
- Experience with AWS, especially ECS, Lambda, SQS, SNS, and CloudWatch
- Knowledge of messaging and asynchronous processing with RabbitMQ and Kafka
- Proficiency in PostgreSQL and Redis, as well as persistence, caching, and performance optimization strategies
- Experience with Docker, Kubernetes, Linux, and GitLab CI/CD
- Knowledge of observability using OpenTelemetry, Grafana, CloudWatch, or equivalent tools
- Experience with automated testing, code reviews, static analysis, and software quality best practices
- Knowledge of secure development, Secure SDLC, and OWASP
- Ability to investigate and resolve complex problems in critical systems
- Knowledge of or practical experience with Generative AI, LLM integration, AI Agents, RAG, semantic search, tool/function calling, and AI-powered process automation
- Ownership mindset, autonomy, and proactivity in driving problems and deliverables forward
- Critical thinking and the ability to make pragmatic technical decisions
- Product and business acumen, connecting engineering decisions to value creation
- Curiosity, adaptability, and willingness to experiment with new technologies, especially AI solutions
- Strong communication and collaboration skills across functions, including Product, Operations, Engineering, and customers
- Ability to mentor professionals and contribute to the team’s technical growth
- Maturity to handle pressure, incidents, and highly complex scenarios
- Intellectual humility, openness to feedback, and commitment to continuous learning
- Preferred: experience with OpenAI Agents SDK, LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen
- Preferred: knowledge of MCP, LLMOps, AgentOps, Evals, and agent tracing
- Preferred: experience with multiple AI models or providers, routing strategies, caching, and cost and token optimization
- Preferred: knowledge of multi-agent architectures, context engineering, agent memory, embeddings, and vector databases
- Preferred: experience with products, services, or automations featuring AI integrated into the user experience
- Preferred: knowledge of micro-frontends, React, and Next.js
- Preferred: experience in the financial, banking, or capital markets sectors
- Preferred: knowledge of Blockchain, DLT, Smart Contracts, and Tokenization
- Preferred: familiarity with DORA metrics
Benefits
Comp & perks- Meal Voucher
- Food Allowance
- Health Insurance with no copayment, including the option to add dependents
- Dental Insurance with no copayment, including the option to add dependents
- Life Insurance
- Semiannual Bonus
- Referral Program with bonus payments
- Subsidy for courses, training, and professional development
- Psychological Support Allowance
- Childcare Assistance
- Birthday Day Off
- TotalPass
- Dog Day at the office
- No dress code
- High Potential Program
- Stock Options