Software Engineer

People Force Consulting Inc.

Chicago, IL, United States

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Business Analytics Applications Cloud Computing Security Computer Networks Continuous Integration Software Debugging DevOps Distributed Systems

+34 more

Django Web Framework Amazon DynamoDB Graph Database Identity and Access Management Python (Programming Language) PostgreSQL Neo4j NoSQL Performance Tuning Software Architecture Cloud Services Software Deployment Software Engineering SPARQL Data Logging Enterprise Software Applications Flask (Web Framework) Backend Fastapi Amazon Relational Database Service Kubernetes Data Analytics Apache Kafka Front End Software Development Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Terraform Software Version Control Serverless Computing Docker Golang Microservices

Job description

Senior Software Engineer with expertise in Python, Data Analytics, Graph Databases, and AWS, responsible for designing, building, and supporting scalable cloud-native backend services, APIs, and data-driven solutions., * Design, build, and maintain backend services and APIs using Python (FastAPI, Flask, Django).

Model and query complex relationships using Graph Databases such as Neo4j, Amazon Neptune, or similar.
Architect, deploy, and operate cloud-native services on AWS (Lambda, EC2/ECS/EKS, API Gateway, S3, RDS/DynamoDB/Neptune, CloudWatch, IAM, etc.).
Contribute to system design discussions, architectural reviews, and technical decision-making.
Implement CI/CD pipelines, automation, observability (logging/metrics/tracing), and deployment best practices.
Write scalable, clean, well-tested, and maintainable code.
Collaborate closely with cross-functional teams including frontend, DevOps, and data/ML.
Troubleshoot production issues and optimize performance, reliability, and cost.
Mentor junior/mid-level engineers and promote engineering best practices.

Requirements

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Experience Strong expertise in Python backend development with hands-on experience in frameworks such as FastAPI, Flask, or Django for building scalable APIs and enterprise applications.
Practical experience working with Graph Databases such as Neo4j, Amazon Neptune, or similar technologies, including graph data modeling and querying using Cypher, Gremlin, or SPARQL.
Hands-on experience with AWS cloud services including compute, storage, networking, monitoring, identity, and database services such as Lambda, EC2, ECS/EKS, API Gateway, S3, RDS, DynamoDB, Neptune, CloudWatch, and IAM.
Strong understanding of RESTful API design, microservices architecture, distributed systems, and event-driven application development.
Experience working with both relational and NoSQL databases, including PostgreSQL and DynamoDB.
Hands-on experience with source control, CI/CD workflows, Docker containers, automated testing frameworks, and deployment best practices.
Strong debugging, performance optimization, troubleshooting, and system design capabilities.
Experience working on Data Analytics solutions and data-driven application development

Good to Have Skills

Experience with Go (Golang) for building microservices and backend tooling.
Understanding of .NET-based applications and backend architecture patterns.
Experience with Terraform and Infrastructure as Code for AWS deployments.
Hands-on exposure to Kubernetes (EKS), Helm, and container orchestration platforms.
Experience with messaging and streaming platforms such as Kafka, SQS/SNS, and Kinesis.
Knowledge of cloud security, networking concepts, and AWS best practices.