June 12, 2026

Embedded Architect

Jobs via Dice Dallas, Texas

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Intellisoft Technologies, is seeking the following. Apply via Dice today!

Location: ONSITE- Basking Ridge, NJ/ Irving,TX, Tampa.FL

Duration: 6 months

Embedded Architect - Should have exp from either Nokia, Samsung & Erricssion

"1. Either of Nokia, Samsung, Ericsson, Cisco, Ciena dev experience (Embedded Solution Architect) 2. Cloud technologies - k8, ELK, Kafka, S3, looker (even better if on-premise cloud architecture) 3. Event driven architecture, streaming architecture, worked in high data volume projects, Java, Python, Golang. 4. 3GPP standards used in projects. Even better if worked in Data Mediation 5. 15+ years of hands-on experience- coding, design, architecture, testing"

Must Have Technical/Functional Skills 1. Either of Nokia, Samsung, Ericsson, Cisco, Ciena dev experience (Embedded Solution Architect) 2. Cloud technologies - k8, ELK, Kafka, S3, looker (even better if on-premise cloud architecture) 3. Event driven architecture, streaming architecture, worked in high data volume projects, Java, Python, Golang. 4. 3GPP standards used in projects. Even better if worked in Data Mediation 5. 15+ years of hands-on experience- coding, design, architecture, testing

Key Words to search in Resume - Embedded Architect from Nokia, Samsung, Ericsson, Cisco, Ciena

Must Have Technical/Functional Skills

 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/PrometheGrafana), 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, 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

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