Senior Backend Software Engineer - Global Commercial Services Technology

Responsibilities

• Design, develop, and deploy scalable backend services and APIs using Golang in AWS environments.
• Build microservices leveraging domain-driven design and modern architectural patterns such as hexagonal architecture.
• Collaborate with frontend engineers, product managers, and stakeholders to define service contracts and platform capabilities.
• Mentor engineers and foster strong collaboration across distributed engineering teams.
• Evaluate and integrate SaaS, PaaS, and IaaS solutions to meet functional and non-functional requirements.
• Participate in architecture reviews, RFCs, and proof-of-concept initiatives.
• Develop highly scalable, resilient, and observable distributed systems.
• Design and implement event-driven architectures and streaming solutions using Kafka and related messaging technologies.
• Integrate with workflow orchestration and durable execution frameworks such as Camunda and Temporal.
• Design and manage data systems across relational, graph, document, search, and OLAP databases.
• Build and operate cloud-native systems using AWS services such as Lambda, ECS, SQS, API Gateway, RDS, and S3.
• Implement observability through logging, monitoring, and distributed tracing using tools such as Datadog.
• Establish backend engineering standards, best practices, and system design conventions.
• Plan, estimate, and deliver on engineering work while proactively mitigating risks and resolving blockers.
• Communicate progress and system capabilities to stakeholders and leadership.

Qualifications

• 5+ years of experience in software engineering with a strong focus on backend systems.
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.
• Strong hands-on experience building backend services using Golang.
• Strong experience designing and deploying systems in AWS cloud environments.
• Experience building and operating distributed systems, APIs, and microservices architectures.
• Experience with domain-driven design and modern architectural patterns.
• Experience working with a variety of data storage technologies including relational and NoSQL databases.
• Experience with distributed Postgres-compatible databases such as CockroachDB.
• Experience integrating workflow orchestration platforms such as Camunda or Temporal.
• Experience implementing observability, monitoring, and performance optimization tools such as Datadog.
• Experience collaborating across cross-functional teams and mentoring engineers.
• Strong communication and problem-solving skills.
• Experience integrating AI/ML models into backend systems is a plus.
• Entrepreneurial mindset and passion for building scalable systems.