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Software Development Advisor (IoT/Java/Go) Full Time Hybrid - 3 days onsite, 2 days WFH Competitive Salary and Benefits Position Summary: The

Software Development Advisor

plays a pivotal role in the design, optimization, and support of cutting-edge IoT-enabled distributed systems. This individual is responsible for solving complex technical challenges, enhancing system scalability, and ensuring secure, high-performance infrastructure using modern cloud and edge computing tools. The ideal candidate will have deep expertise in backend engineering, real-time systems, and cloud-native architectures, particularly within the AWS ecosystem. Key Responsibilities: Diagnose and resolve complex issues within IoT-enabled distributed systems and real-time applications. Conduct code reviews, profiling, and performance optimization in

Java

and

Go . Debug and optimize

low-latency IoT applications

that interact with sensors, edge devices, and cloud services. Refactor and redesign key application modules to improve scalability, reliability, and efficiency. Optimize

device-to-cloud communication , ensuring secure and consistent data transmission and synchronization. Integrate and leverage AWS services such as

IoT Core ,

Lambda ,

S3 ,

RDS , and

IAM

to build scalable cloud deployments. Improve device management capabilities and telemetry data processing pipelines. Work with

edge computing frameworks

to support real-time data processing and minimize system latency. Collaborate with cross-functional teams to ensure

high availability ,

security , and

performance

across the IoT ecosystem. Contribute to architecture decisions and continuous system improvement initiatives. Perform other duties as assigned. Required Qualifications: Minimum of

3 years of software development experience

with strong proficiency in

Java

and

Go . At least

3 years of experience

working with

IoT systems , embedded technologies, or edge computing solutions. Deep knowledge of

microservices architecture ,

RESTful APIs , and

event-driven systems . Proven experience in debugging and optimizing the performance of IoT applications. 2 years of hands-on experience

with

AWS cloud services , including compute, storage, security, and IoT platforms. 2 years of experience

working with

SQL databases , including performance tuning and schema optimization. Preferred Qualifications: Familiarity with container orchestration (e.g., Docker, Kubernetes). Experience with edge AI or real-time data analytics. Background in telemetry, remote monitoring, or smart device ecosystems. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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