Sr. Backend Engineer – Python/Java & Kafka C2C contract

Tech Mirrors; Bellevue (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

Tech Mirrors in Bellevue, WA is seeking a Sr. Backend Engineer with strong Python/Java and Kafka experience to build scalable backend services. You will design and implement RESTful APIs and microservices, collaborate on architecture, and contribute to CI/CD automation.

The role emphasizes UNIX/Linux scripting and observability practices. Ideal candidates excel in event-driven systems, distributed architectures, and cloud-native deployment patterns, delivering robust features across data and API

Qualifications

• Proficiency with messaging and event-driven systems such as Kafka (must).
• Expert-level Python and Java OO programming.
• Hands-on UNIX/Linux environments and Bash scripting for automation.
• Experience building scalable REST APIs and microservices.

Responsibilities

• Design and build scalable backend services in Python/Java.
• Develop and maintain microservices with secure API interfaces.
• Support CI/CD pipelines and infrastructure automation.
• Collaborate on architecture and data engineering aspects.

Skills

Kafka

Python

Java

Microservices

CI/CD

UNIX/Bash

Tools

Docker

Kubernetes

GitLab CI/CD

SQL

Job description

Role- Sr. Backend Engineer – Python/Java & Kafka

Location- Bellevue, WA

12 +Months

Mandatory Areas

Kafka
Python
Java
Microservices
CICD

Skill Focus:Core (~70%): Kafka, Programming, Infrastructure Supporting (~20%): Architecture, Data Engineering Adjunct(~10%): Observability, AI/Modern tooling

Must Have Skills

Proficiency with messaging and event-driven systems such as Kafka
Expert-level proficiency in Python and Java object-oriented programming
Strong experience with Python or Java object-oriented programming
Hands-on experience with UNIX/Linux environments and expert-level Bash

shell scripting for automation and pipeline orchestration
Automate manual processes and operational workflows using Bash shell scripting in UNIX environments
Build responsive, accessible, and performant applications, delivering end-to-end features across API and data layers
Experience building scalable REST APIs and microservices
Knowledge of TLS/SSL encryption and SASL authentication for securing Kafka clusters
Experience with Git, GitLab, and CI/CD automation
Experience working with relational databases and writing complex SQL
Experience with containerization and orchestration tools such as Docker and Kubernetes
Experience using observability and telemetry tools such as Splunk, AppDynamics, or Grafana
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent development.

Nice to Have

Experience with Databricks, Snowflake, or cloud-based data platforms
Network Domain experience
Experience working in cloud-native environments (Azure, AWS, or GCP)
Experience contributing to system architecture or platform-level design decisions