Software Engineer

Responsibilities

• Design, implement, and maintain solutions that are performant, secure, reliable, and cost-efficient.
• Contribute to technical specifications, solution designs, and implementation plans in collaboration with senior engineers/architects.
• Work with business stakeholders and developers to refine requirements, define technical approaches, and ensure feasibility.
• Deliver changes in line with agreed scope and timelines, communicating progress and risks clearly.
• Build and maintain integrations between systems and services (internal and third-party/SaaS).
• Create and maintain technical documentation (solution notes, runbooks, operational procedures).
• Provide application management and L3 support, including:
• Owning incident/problem resolution for assigned applications and services
• Debugging production issues (logs, metrics, traces), performing root-cause analysis, and implementing permanent fixes
• Improving monitoring/alerting and operational readiness (runbooks, dashboards, SLOs where relevant)
• Proactively identify improvement opportunities (stability, automation, cost, developer productivity) and contribute to the evolution of the business applications platform.

What we expect

• Bachelor's degree in computer science or another scientific/quantitative discipline (or equivalent practical experience).
• 3–6 years of professional software engineering experience (financial industry experience is a plus, not required).
• Strong skills in Java and building maintainable, testable services.
• Hands-on experience with relational databases and SQL (data modeling, query optimization, troubleshooting).
• Working knowledge of AWS and cloud infrastructure (deploying/operating applications in the cloud).
• Experience working with business users and technical teams to solve business problems; continuous-improvement mindset.
• Good organization skills: able to prioritize effectively and manage tasks with transparency.
• Strong communication skills and a collaborative, team-oriented approach.
• Demonstrated experience supporting production systems (incident handling, debugging, operational processes)

Good to have

• Experience with agile development practices (Scrum/Kanban).
• Exposure to one or more of the following:
• Integration and orchestration tools (e.g., AWS Glue, Apache Airflow, Control-M)
• Serverless architectures (AWS Lambda and related services)
• Microservices and RESTful APIs
• CI/CD pipelines and DevOps practices (e.g., Terraform, GitHub Actions/Jenkins, automated testing)
• Messaging/streaming (Kafka, Amazon Kinesis)
• Data warehousing (Snowflake)
• Using AI-assisted coding tools (Cursor, GitHub Copilot, Amazon Q)
• Using pre-trained AI models to enhance software functionality
• Familiarity with Private Equity or broader financial services domain.