Job Code

FSS - 3241

Posted By

Suresh Dakshinamoorthy

Modified By

Suresh Dakshinamoorthy Person Details

Suresh Dakshinamoorthy Senior Data Streaming Engineer

(Woodlawn, MD, 21207) | 10/06/26

Easy Job Description

Onsite:

5 Days/Week

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

Preferred Experience:

Experience working within a Center of Excellence, architecture council, or multi-team governanceanization

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 d libraries, starter templates, and reusable streamingponents

Advanced distributed-system debugging and production incident triage

The role requires a senior technical leader who can guide application and platform teams in adopting standardized patterns for Kafka, Flink, CI/CD security, schema governance, microservices, and secure streaming delivery. Senior Data Streaming Engineer