Technical Lead, Automation Testing ()

Test Strategy & Execution: Lead the creation and management of Unit & Characterization tests (Golden Master generation) to validate the ported C++ business logic against legacy behavior.

Automation Focus: Implement and maintain test automation, Quality Assurance, and coordinate UAT and DevOps activities.

Quality Gates & CI/CD: Integrate workflow and deliverables into the existing CI/CD pipelines, enforcing strict Quality Gates. This includes ensuring 100% golden master match and constraining performance regression to less than 10% from the C++ baseline.1

Characterization Targets: Drive the creation of a comprehensive test suite targeting ≥3,200 total test cases and ≥80% code path coverage across core components like Node Managers, Event Handlers, Business Rules, and the BRG Module.

Performance Engineering: Conduct performance profiling and testing to meet Non-Functional Requirements (NFRs) like 7,000–8,000 TPS throughput and event processing latency of <5ms.

Technical Validation: Focus on validating key modernization aspects, including IPC behavior, cache operations (L1/L2 Redis tiering), and Node Manager state transitions.

Minimum of 6 years of progressive experience in the IT field, demonstrating comprehensive knowledge of testing strategies, methodologies, and automation in complex software development environments.

Mandatory Experience: Automated testing for both Java and C++ codebases.

Technical Stack: Strong proficiency in Java (targeting Java 21) and experience with high-availability/high-performance (HA/HP) systems.

Testing Methodology: Deep experience with Golden Master Testing and characterization test creation.

AI/Automation Skills: Proven ability to implement AI-assisted test generation & automation, including performance profiling/testing

Domain Knowledge: Ability to quickly understand and validate telecom-specific protocols (SS7 and Diameter) that interact with the modernized application logic.

CI/CD: Experience in integrating test automation into CI/CD pipelines (e.g., Jenkins) and establishing performance baselines.

Solid debugging skills and experience (e.g., analyzing log files, spotting patterns)

Experience with tools for tracking and documenting development processes (JIRA, Notion, git) is an advantage.

Working with automation tools (Ansible, Jenkins, CI/CD)

Good communicator & fluent in written and spoken English

Familiarity with AI-led SDLC tooling used by the modernization team, such as Claude Code, to accelerate development and testing.

Experience with cloud-native testing methodologies, including chaos engineering tests and validating the behavior of Kubernetes health probes (readiness, liveness, startup).

Familiarity with the target observability stack (Prometheus, OpenTelemetry, Grafana, and ClickHouse) for validating logging, metrics, and distributed tracing.

Background in testing distributed data consistency, such as cross-site Redis replication and conflict resolution (LWW).

Familiarity with message bus testing, specifically Kafka partitioning and legacy Spread IPC for message fidelity and ordering validation.