Developer

Key Responsibilities

• Python Development & API Engineering
• Design, develop, and maintain Python-based backend applications, microservices, and APIs.
• Build scalable RESTful APIs and integrations supporting enterprise applications and data platforms.
• Develop reusable components, libraries, and automation frameworks following engineering best practices.
• Implement secure API authentication, authorization, rate limiting, and monitoring capabilities.
• Data Engineering & Processing
• Build and maintain data ingestion, transformation, and processing pipelines.
• Develop solutions for integrating data across multiple internal and external systems.
• Optimize data access patterns, database interactions, and application performance.
• Ensure data quality, validation, observability, and operational reliability.
• AWS Cloud Engineering
• Design and implement cloud-native solutions using AWS services such as Lambda, ECS, EKS, API Gateway, S3, DynamoDB, RDS, SQS, SNS, EventBridge, CloudWatch, and Step Functions.
• Develop highly available, fault-tolerant, and scalable applications leveraging AWS best practices.
• Implement infrastructure automation, deployment pipelines, monitoring, and operational controls.
• Collaborate with cloud, security, and platform teams to ensure compliance, governance, and cost optimization.
• Production Support & Reliability
• Support business-critical production systems and APIs in a high-availability environment.
• Perform incident triage, root cause analysis, and issue remediation.
• Analyze logs, metrics, and system behavior to identify performance bottlenecks and reliability risks.
• Drive continuous improvements in resiliency, observability, scalability, and operational efficiency.
• AI-Assisted Software Development
• Leverage AI-powered development tools such as GitHub Copilot, Amazon Q, ChatGPT, Cursor, or equivalent tools to accelerate development and improve code quality.
• Utilize AI for code generation, unit test creation, documentation, troubleshooting, code review, and solution prototyping.
• Validate AI-generated outputs to ensure alignment with security, architectural, and engineering standards.
• Promote responsible adoption of AI-assisted development practices within the engineering team.
• Technical Leadership
• Mentor junior developers and contribute to engineering standards and best practices.
• Participate in architecture reviews, technical design discussions, and code reviews.
• Partner with product, business, architecture, and operations teams to deliver high-quality solutions.
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Required Skills

• 8+ years of hands-on Python development experience.
• Strong experience building APIs, microservices, and distributed systems.
• Solid experience designing and implementing solutions on AWS.
• Experience with cloud-native architectures, event-driven systems, and enterprise integrations.
• Strong understanding of system design, scalability, reliability, and performance optimization.
• Experience supporting production systems in large-scale enterprise environments.
• Proficiency with SQL and NoSQL databases.
• Experience with CI/CD, monitoring, logging, and observability practices.

Preferred Qualifications

• Experience with FastAPI, Flask, or Django.
• Experience with Docker, Kubernetes, ECS, or EKS.
• Experience with AWS serverless and event-driven architectures.
• Familiarity with Infrastructure as Code (Terraform, CloudFormation, CDK).
• Experience in financial services, insurance, or other regulated enterprise environments.
• Prior experience as a Senior Engineer, Technical Lead, or Solution Designer.

Pay Range

$85,000 - $125,000 per year