Senior Software Engineer

What You’ll Do

Your Skills & Abilities (Required Qualifications)

What Can Give You a Competitive Advantage (Preferred Qualifications)

Qualifications

• Hands-on experience with one or more streaming technologies, preferably Apache Flink, Apache Pulsar, and Apache Kafka.
• Experience with Databricks and data engineering or analytics platforms.
• Experience with source control and collaborative development workflows, such as Git and pull requests.
• Experience with Spring Boot, Spring Cloud, or comparable Java frameworks.
• Experience with Apache Avro, Protobuf, schema registries, or other data serialization and schema-management technologies.
• Experience with containerization and orchestration, such as Docker and Kubernetes.
• Familiarity with Azure services such as Azure Kubernetes Service, Azure Event Hubs, Azure Storage, Azure Database for PostgreSQL, Azure Monitor, or Microsoft Entra ID.
• Experience with infrastructure as code, such as Terraform or Bicep.
• Experience with observability tools, distributed tracing, metrics, centralized logging, and alerting.
• Familiarity with data quality, lineage, governance, and schema evolution practices.
• Experience with AI prompting or prompt engineering for software development, data analysis, automation, documentation, or application integration.

Responsibilities

• Design, develop, test, and maintain scalable Java services and distributed applications.
• Build and optimize real-time data streaming pipelines using Apache Flink, Apache Pulsar, and Apache Kafka.
• Develop reliable event-driven services with strong attention to throughput, latency, resiliency, ordering, replay, and fault tolerance.
• Design and implement an Operational Data Store (ODS) layer using GraphQL and PostgreSQL.
• Develop GraphQL APIs and services that provide secure, efficient, and well-structured access to operational data.
• Design relational schemas, queries, indexes, and data-access patterns for PostgreSQL.
• Integrate streaming and operational data services with Databricks and cloud-based data platforms.
• Deploy and operate applications in Microsoft Azure using cloud-native architecture and services.
• Implement automated build, test, deployment, and release processes through CI/CD pipelines.
• Apply software engineering best practices, including code reviews, automated testing, observability, documentation, and secure development.
• Troubleshoot complex issues across application, streaming, database, and cloud environments.
• Participate in technical design discussions and contribute to architecture decisions.
• Mentor other engineers and help establish engineering standards and reusable patterns.
• Use generative AI tools and effective prompting techniques to accelerate development, troubleshoot issues, create documentation, and improve engineering productivity while applying appropriate security and data-handling practices.
• 7+ years of professional software development experience.
• Strong proficiency in Java and object-oriented design.
• Experience building production-grade backend services and distributed systems.
• Hands-on experience with one or more streaming technologies, preferably Apache Flink, Apache Pulsar, and Apache Kafka.
• Strong understanding of event-driven architecture, messaging patterns, data partitioning, consumer groups, delivery semantics, and stream processing.
• Experience designing and developing GraphQL APIs.
• Strong experience with PostgreSQL, including schema design, SQL, performance tuning, indexing, and transaction management.
• Experience with Databricks and data engineering or analytics platforms.
• Experience developing and deploying applications in Microsoft Azure.
• Practical CI/CD experience with automated testing, packaging, deployment, and release management.
• Experience with source control and collaborative development workflows, such as Git and pull requests.
• Strong troubleshooting, communication, and technical documentation skills.
• Experience with Spring Boot, Spring Cloud, or comparable Java frameworks.
• Experience with Apache Avro, Protobuf, schema registries, or other data serialization and schema-management technologies.
• Experience with containerization and orchestration, such as Docker and Kubernetes.
• Familiarity with Azure services such as Azure Kubernetes Service, Azure Event Hubs, Azure Storage, Azure Database for PostgreSQL, Azure Monitor, or Microsoft Entra ID.
• Experience with infrastructure as code, such as Terraform or Bicep.
• Experience with observability tools, distributed tracing, metrics, centralized logging, and alerting.
• Knowledge of security practices for APIs, cloud workloads, secrets management, authentication, and authorization.
• Experience working in Agile or iterative software development environments.
• Familiarity with data quality, lineage, governance, and schema evolution practices.
• Experience with AI prompting or prompt engineering for software development, data analysis, automation, documentation, or application integration.
• This job may be eligible for relocation benefits.