Staff SW Engineer

Job Summary

Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 6075% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities:

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Education Experience:

7.5+ years of relevant software engineering experience

Bachelor''s or Master''s degree in Computer Science, Software Engineering, Distributed Systems, or related field

Core Technical Skills:

Java Distributed Systems Expertise:

Extensive technical experience with Java, Spring, Hibernate

Advanced Java development including concurrency, multithreading, and performance optimization

Deep understanding of distributed system architectures (microservices, event-driven, service mesh)

Experience with distributed consensus algorithms (Raft, Paxos) and coordination services (Zookeeper, etcd)

Proficiency in distributed data management patterns (CQRS, Event Sourcing, Saga patterns)

Strong knowledge of distributed caching (Redis, Hazelcast, Memcached)

Experience with message queues and streaming platforms (Kafka, RabbitMQ, Pulsar)

Understanding of CAP theorem, eventual consistency, and distributed transaction management

Experience building highly available, fault-tolerant systems with disaster recovery capabilities

Knowledge of service discovery, load balancing, and circuit breaker patterns

Proficiency in code development using Eclipse/MyEclipse, JetBrains IntelliJ or any major Java IDE

Strong experience with GIT/Stash, Maven, and Jenkins

API Integration:

Extensive experience in API Development using SOAP or REST, JSON and XML

Deep knowledge of API standards including OAuth, SAML

Experience with GraphQL, gRPC, and modern API gateway patterns

Understanding of API versioning, rate limiting, and distributed API management

Experience building async/reactive APIs using Spring WebFlux or similar frameworks

Data Infrastructure:

Experience with SQL datastores (DB2/MySQL) and Unix/Linux platforms

Understanding of database sharding, replication, and distributed database systems

Experience with distributed file systems (HDFS, S3, or similar)

Knowledge of data consistency patterns across distributed datastores

Proven experience with tools development, automation (CI/CD, Auto Deployment, System Availability), logging and monitoring

Experience with distributed tracing (Jaeger, Zipkin, OpenTelemetry)

Working knowledge of streaming platforms like Kafka for real-time data processing

AI-First Engineering Skills:

Hands-on experience with LLM integration and serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)

Proficiency in AI-assisted development tools (GitHub Copilot, Cursor, Cline, or similar)

Experience building intelligent APIs with AI/ML inference endpoints in distributed environments

Understanding of vector databases (Pinecone, Weaviate, ChromaDB) for RAG applications

Knowledge of prompt engineering and AI model fine-tuning

Distributed Systems Design:

Experience designing scalable microservices architectures handling millions of transactions

Knowledge of distributed system monitoring and observability (Prometheus, Grafana, ELK stack)

Understanding of container orchestration in distributed environments

Experience with chaos engineering and resilience testing

Proficiency in distributed debugging and troubleshooting techniques

Professional Capabilities:

Ability to write clean, coherent code following established coding guidelines

Strong interpersonal and effective communication skills (both written and verbal)

Highly driven, resourceful, and results-oriented

Experience leveraging AI tools to accelerate development velocity and code quality

Ability to design and communicate distributed system architectures effectively