What are the responsibilities and job description for the Senior Data Streaming Engineer position at First Soft Solutions LLC?
Onsite: 5 Days/Week
Interview: In-Person
Key Requirements
Interview: In-Person
Key Requirements
- Bachelor's degree and 10 years of progressive IT experience, including senior or advisory engineering roles
- 5 years of experience in enterprise-scale streaming or secure delivery environments
- Expert-level proficiency with Kafka, Flink, Java, Avro, and Confluent Schema Registry
- Strong experience defining enterprise streaming patterns, reference architectures, standards, and reusable solutions
- Experience with Kafka Streams or similar stateful streaming frameworks
- Strong experience with CI/CD and DevSecOps practices
- Experience designing secure CI/CD pipelines using Jenkins, Maven, Bitbucket, and Nexus
- Experience with enterprise vulnerability management and secure coding practices
- Experience with POAM-aligned remediation workflows
- Hands-on experience designing secure microservices
- Experience with Kafka security configurations including SSL/mTLS and SASL/OAUTHBEARER
- Strong understanding of Kafka internals including brokers, partitions, replication, consumer groups, ISR, retention, ACLs, RBAC, and cluster health
- Experience troubleshooting consumer lag, serialization failures, state-store issues, rebalancing, replication delays, and performance bottlenecks
- Ability to create enterprise documentation, technical standards, reference architectures, and reusable patterns
- Strong technical leadership, mentoring, troubleshooting, and cross-team collaboration skills
- Experience working within a Center of Excellence, architecture council, or multi-team governance organization
- Federal government or regulated-environment experience
- Experience with Docker and Kubernetes/OpenShift
- Experience with Black Duck, SonarQube, Fortify, or similar security platforms
- Confluent Platform RBAC and enterprise Kafka security
- Large-scale streaming workloads and streaming architecture
- Schema evolution, state management, fault tolerance, and partitioning strategies
- Building shared libraries, starter templates, and reusable streaming components
- Advanced distributed-system debugging and production incident triage