Python Senior Software Engineer - Backend & Architecture (Code: P-103)

• *Company Description
• *Exandia Corp.

(www.exandia.com) specializes in developing innovative integrated information systems and modern digital services for worldwide customers. Exandia Corp. leads large-scale projects across multiple industries, including education, fintech, healthcare, logistics, and the public sector. With a commitment to innovation and excellence, Exandia Corp. stands as a trusted partner in transforming industries through technology.

• *Position Summary**

We are seeking a Senior Software Engineer specializing in Backend development and Systems Architecture to lead the design and implementation of core backend services, cloud infrastructure, data ingestion pipelines, and cross-service integrations.

This role is ideal for an engineer who can independently drive large-scale technical initiatives from problem definition to architecture to delivery, while collaborating with cross-functional teams (frontend, devops, data science, and product).

• *What You Will Do (Essential Responsibilities)
• *Backend Engineering & System Architecture
• Design, implement, and maintain backend services, APIs, and microservices - primarily in
• *Python (FastAPI).
• Architect scalable, resilient systems capable of processing real-time operational data from field devices.
• Lead end-to-end design for complex, revenue-critical features, ensuring technical clarity, documented requirements, and well-defined success metrics.
• Evaluate system bottlenecks and propose architectural improvements in performance, reliability, and maintainability.
• *Cloud Infrastructure & Data Pipelines
• Build and optimize cloud-native data ingestion pipelines using
• *Azure &
• *AWS services

such as IoT Core, Kinesis, SQS, Lambda, EC2, EKS, RDS/Aurora PostgreSQL, and S3.

• Collaborate with DevOps to design infrastructure that meets operational and security standards (containerization, Kubernetes, autoscaling, CI/CD, observability).
• Implement distributed processing and efficient handling of large real-time telemetry streams.
• *Cross-Functional Leadership
• Work closely with product managers and stakeholders to clarify requirements, explore design options, and break down large initiatives into executable engineering tasks.
• Coordinate with frontend teams to align API contracts, data models, and release timelines.
• Provide architectural guidance, code reviews, and mentorship to other engineers.
• *Quality, Reliability & Best Practices
• Write clean, maintainable, well-tested code following industry best practices.
• Maintain service reliability through robust logging, monitoring, alerting, and automated testing strategies.
• Contribute to improving internal engineering documentation, standards, and design processes.
• *Required Qualifications
• 4-6+ years of professional software engineering experience**

, with strong emphasis on backend systems.

• Excellent/Expert-level Python experience

, ideally with

• *FastAPI**

in production environments.

• Strong understanding of distributed systems, microservice architecture, and API design.
• Hands-on expertise with
• *AWS cloud services**

(IoT Core, Lambda, Kinesis, SQS, EC2, EKS, S3, RDS/Aurora).

• Experience building or maintaining
• *real-time data processing pipelines**

or IoT ingestion systems.

• Solid understanding of
• *Docker, Kubernetes, container orchestration**

, and cloud-native patterns.

• Infrastructure as code

(IaC)

(e.g. Terraform). Experience in software monitoring solutions.

• Strong proficiency with SQL and experience working with relational databases (preferably PostgreSQL).
• Ability to independently gather requirements, write technical specs, and drive projects to completion with minimal oversight.
• Strong communication skills and the ability to work cross-functionally with product, frontend, and DevOps teams.
• *Preferred Qualifications
• Experience with
• *TypeScript

and modern FE/backend integration patterns.

• Familiarity with message-driven architectures (Kafka, MQTT, etc.).
• Exposure to machine learning pipelines or algorithmic/analytics workloads.
• Understanding of best practices for security, compliance, networking, and IAM within AWS.
• Prior experience in oil & gas, energy tech, or real-time industrial data processing.