TL;DR

Senior Software Engineer (AI): Designing and delivering real-time data pipelines and event-driven microservices with an accent on resilient streaming patterns and CI/CD automation. Focus on scaling data services and collaborating with platform and product teams.

Location: Atlanta, GA

Salary: $110000 to $115000/yearly

Company

%hirify_global% is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.

What you will do

Build reliable streaming applications using Confluent Kafka, Apache Flink, Hazelcast, Kafka Streams, Kafka Connect, and Schema Registry.
Develop ETL/ELT pipelines for real-time ingestion, transformation, and distribution; implement windowing, joins, and stateful processing.
Implement distributed caching and in-memory data grid integrations to reduce latency and improve throughput.
Contribute to event gateway / event grid routing, schemas, topic design, ACLs, and dead letter strategies.
Automate CI/CD pipelines, containerization (Docker), and deployments to Kubernetes.
Participate in data governance: tagging, metadata updates, lineage capture, schema evolution, and data quality checks.

Requirements

7+ years in software engineering, with 3+ years focused on real-time streaming or event-driven systems.
Strong hands-on experience with Kafka (topics, partitions, consumer groups), Schema Registry, Kafka Connect, and either Flink or Kafka Streams or Hazelcast.
Solid understanding of ETL/ELT concepts, event time vs. processing time, checkpointing, state management, and exactly once/at least once semantics.
Proficiency with microservices (Java /Python), APIs (REST/gRPC), Avro/JSON/protobuf, and contract testing.
Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions/Azure DevOps/Jenkins or similar).
Cloud experience in at least one cloud platform (Azure/AWS/GCP).

Nice to have

CDC pipelines, Flink SQL, custom Kafka Connect connectors.
Experience with feature flags, canary releases, and progressive delivery.
Performance tuning: batch sizes, compression, serialization choices (Avro vs. Protobuf), and partitioning strategies.

Culture & Benefits

Flexible work options.
Comprehensive healthcare including dental, vision, mental health, and well-being programs.
Financial well-being programs such as 401(k) and Employee Share Ownership Plan.
Paid time off and paid holidays.
Mentoring, coaching and learning programs.
Employee Resource Groups.