Senior Software Engineer

Key ResponsibilitiesSoftware Development & System Performance
Design and develop low-latency, high-throughput applications using modern software engineering practices.
Build scalable, fault-tolerant systems with high availability and minimal downtime.
Implement multi-threaded and asynchronous processing architectures for real-time data processing.
Develop event-driven workflows using high-performance messaging technologies.
Conduct performance profiling, monitoring, debugging, and optimization.
Work with big-data processing and ETL technologies, including CDC and Amazon Kinesis.
Optimize applications to handle high transaction volumes and demanding workloads.
Architecture & Technical Expertise
Design and implement scalable event-driven and distributed architectures.
Develop robust data processing pipelines for real-time and batch workloads.
Optimize database queries, indexing, storage, and data-access patterns.
Leverage AWS cloud-native and serverless technologies to improve scalability, performance, and cost efficiency.
Implement caching, load balancing, and distributed computing strategies.
Optimize relational and NoSQL databases for high-volume transactions.
Collaborate with architects on technical designs, implementation strategies, and architectural decisions.
Cloud, DevOps & Deployment
Build and deploy applications using AWS cloud services.
Advocate and implement DevOps best practices, CI/CD automation, and cloud-native deployment strategies.
Work with Infrastructure as Code tools such as Terraform.
Ensure production systems are observable, reliable, secure, and maintainable.
Collaboration & Agile Development
Collaborate with Product Managers, Designers, QA Engineers, Architects, and other stakeholders.
Participate in sprint planning, daily stand-ups, retrospectives, and other Agile ceremonies.
Translate business requirements into scalable and technically sound solutions.
Contribute to code reviews, technical discussions, and engineering best practices.
Innovation & Continuous Improvement
Stay current with emerging technologies and industry trends.
Introduce innovative solutions that improve system performance, scalability, and reliability.
Promote TDD, continuous integration, performance monitoring, and clean coding practices.
Identify opportunities to improve development processes, tooling, and team productivity.
Required Skills & Experience
6+ years of professional software development experience, with strong production experience in distributed systems.
Strong experience designing and building low-latency, high-throughput applications.
Strong backend development experience with Java and Spring Boot.
Experience with Python or Node.js.
Deep understanding of multi-threading, asynchronous programming, and event-driven architectures.
Strong experience with AWS, particularly:
ECS
Lambda
RDS
S3
SNS
SQS
Strong knowledge of high-performance messaging and streaming technologies such as Amazon Kinesis, Apache Kafka, or similar.
Hands-on experience with PostgreSQL and DynamoDB.
Experience with Change Data Capture (CDC), Kinesis, real-time ETL, and batch processing.
Experience with Terraform or other Infrastructure as Code tools.
Experience with monitoring and observability tools such as AWS CloudWatch, Grafana, or SigNoz.
Strong understanding of:
Distributed systems
Caching strategies
Load balancing
Database performance optimization
Fault tolerance
Scalability
Experience with authentication and authorization platforms such as Auth0.
Knowledge of data security, privacy, compliance, GDPR, and governance frameworks.
Proven experience building and shipping production-grade software products in high-traffic environments.
Strong analytical and problem-solving skills with the ability to diagnose complex performance issues.
Excellent communication and interpersonal skills with the ability to collaborate effectively across technical and business teams.
Nice to Have
Frontend development experience with TypeScript, React, or the broader React ecosystem.
Experience with serverless architectures and cloud-native application design.
Experience working with large-scale data engineering and analytics pipelines.
Experience in the global trade, logistics, supply chain, or freight-forwarding domain.

Work arrangement
No