Senior Backend Software Engineer (Java/Go, Kafka, AWS) at Parent Organization — NeverHard

Job Title: Senior Backend Software Engineer (Java/Go, Kafka, AWS) Job Location: 100% Remote, Canada Experience: 7 to 10 Years Education: Bachelor's Degree Employment Type: T4 Contract (6 Months, Extendable) Start Date: ASAP Rate: 80-90 CAD Per Hour Role Summary We are hiring for a Senior Backend Software Engineer (Java/Go, Kafka, AWS) to join a high-impact engineering team focused on building scalable, event-driven backend systems. The selected candidate will work on distributed services, real-time data streaming platforms, and cloud-native applications, contributing from day one in a fast-moving environment. Key Responsibilities Build and maintain scalable backend services using Java or Go. Design and implement event-driven architectures using Apache Kafka. Develop and support cloud-native applications on AWS. Work with distributed systems that require high availability, resiliency, and scalability. Design and optimize data streaming pipelines and asynchronous message processing workflows. Implement reliable messaging patterns, including idempotency, retry mechanisms, and eventual consistency. Collaborate with cross-functional engineering teams to deliver production-ready solutions. Contribute quickly to ongoing projects and become productive within the first one to two weeks. Support system performance tuning, monitoring, troubleshooting, and operational excellence. Participate in code reviews and engineering best practices. Must-Have Skills 7 to 10 years of professional software engineering experience. Strong backend development experience using Java with Spring Boot or Go with modern service frameworks. Hands-on production experience with Apache Kafka, including: Producer and consumer APIs Partition design Retention management Access control lists (ACLs) Kafka Admin Client Hands-on production experience with AWS services, including: DynamoDB Amazon MSK or Amazon Kinesis ECS or EKS IAM S3 Strong experience with data streaming technologies and event-driven architectures. Experience with Change Data Capture (CDC) patterns and asynchronous message processing. Solid understanding of delivery guarantees such as exactly-once and at-least-once processing. Strong understanding of distributed systems concepts, including: Idempotency Retry strategies with backoff Eventual consistency Proven ability to join active projects and deliver value quickly. Nice-to-Have Skills Experience with Apache Flink, Flink SQL, or Kafka Streams. Experience using AWS Kinesis Client Library (KCL) for stream consumers. Familiarity with Outbox Pattern, Debezium, or similar CDC frameworks. Experience with DynamoDB single-table design. Exposure to GitOps deployment approaches such as ArgoCD or Flux. Familiarity with Apache Iceberg, Apache Paimon, or other open table formats. Interview Process Top 3 Must-Have Evaluation Areas Strong Java or Go backend development experience. Hands-on AWS experience with DynamoDB, MSK/Kinesis, ECS/EKS, IAM, and S3. Deep Apache Kafka experience, including producer/consumer APIs, partitioning strategies, retention policies, ACLs, and administration. Education Requirements Bachelor's Degree required. Preferred Candidate Profile Experienced in designing and building highly scalable backend systems. Comfortable working with real-time streaming data platforms. Strong problem-solving skills and ability to operate independently. Effective collaborator within distributed engineering teams. Able to adapt quickly and contribute in fast-paced delivery environments. About Techedin Techedin is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit. Equal Opportunity Statement At Techedin, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.