Must Have Technical/Functional Skills
Data Engineer-PySpark/Apache Flink - Data Mediation, Golang
* System Architecture & Design Lead the design of scalable, fault-tolerant mediation
components including file ingestion, format conversion, SFTP distribution, event monitoring, and downstream delivery pipelines.
* Binary Protocol & Telecom Data Expertise Parse, decode, and transform binary telecom data formats including ASN.1-encoded CDRs/UDRs, AMA (Automatic Message Accounting) records, and proprietary carrier formats at the byte-stream level.
* Java / Spring Boot Development Build and maintain core mediation services using Java 17+ and Spring Boot (Spring Integration, Spring Batch, Spring Kafka); contribute to shared starters and reusable platform libraries.
* Kubernetes / OpenShift Operations Design and deploy containerized workloads on
OpenShift/Kubernetes; own Helm chart definitions, resource tuning, PVC strategies, horizontal scaling, and rolling upgrade policies.
* Oracle Database Design and optimize schemas for high-volume mediation metadata,
reconciliation state, and audit trails; write and tune complex SQL for operational reporting.
* Site Reliability Engineering (SRE) Define and enforce SLOs/SLIs; lead incident response; drive post-mortems; implement error budgets and auto-remediation patterns into the platform.
* Advanced Observability & Monitoring Build deep observability into the platform: structured logging (Log back/ELK), distributed tracing (Open Telemetry/Jaeger), metrics
(Micrometer/Prometheus/Grafana), and alerting strategies for carrier-grade availability.
* Performance & Reliability Engineering Profile and optimize JVM performance, Kafka consumer throughput, file I/O pipelines, and database query patterns; establish benchmarks and regression gates.
* Cross-Team Technical Leadership Drive architectural decisions, conduct design reviews, mentor engineers, and collaborate with network, OSS/BSS, and downstream consumer teams.
Roles & Responsibilities
* Hands-on experience with ASN.1 decoding, AMA record parsing, binary CDR/UDR
formats (3GPP, ANSI), and byte-stream manipulation
* Strong Kubernetes and OpenShift skills: Helm, resource policies, stateful workloads, network policies, operator patterns
* Proficient in Oracle SQL and PL/SQL: schema design, indexing strategies, partitioning, explain plans
* SRE mindset: SLO/SLI definition, on-call discipline, chaos engineering fundamentals, capacity planning
* Experience building production-grade observability: Prometheus, Grafana, Open Telemetry, ELK/EFK, alerting pipelines
* Demonstrated ability to debug and resolve issues at the system level OS, JVM, network, file descriptor limits, GC pressure, thread contention
* Experience with Apache Kafka at scale: partition strategy, consumer group tuning, offset management, dead-letter handling
* Solid understanding of SFTP, S3/object storage, file lifecycle management, and large-scale file distribution patterns
Salary Range: $100,000-$120,000 a year
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