Senior Python Backend Engineer – AWS & Terraform

Axiom Global Technologies; Hartford (CT); On-site; USD 120,000 - 190,000; Full time

Job summary

Axiom Global Technologies is seeking a Senior Python Engineer in Hartford to design and build scalable backend services. You will lead cloud automation with AWS and Terraform, develop data pipelines, and optimize performance across distributed systems.

Ideal candidates will mentor junior developers, drive best practices, and collaborate with clients and cross-functional teams to translate requirements into robust technical solutions.

Qualifications

• Proficiency in Python with production-grade development experience.
• Strong AWS experience (S3, EC2, Lambda, RDS, containers).
• Terraform for IaC, modular and multi-environment deployments.
• Experience designing RESTful APIs and microservices.
• Relational and non-relational databases; query optimization.
• Distributed systems, concurrency, and high-throughput pipelines.
• LLD emphasis, scalability, fault tolerance, and performance.
• Containerization with Docker/Kubernetes is a plus.

Responsibilities

• Design, develop, and maintain scalable RESTful APIs and data pipelines.
• Provision and optimize AWS infrastructure using Terraform and IaC.
• Translate requirements into detailed designs focusing on performance.
• Build reliable backend services and distributed systems.
• Optimize database schemas, queries, and access patterns.
• Collaborate with clients and stakeholders to gather requirements.
• Mentor juniors, lead standups, and conduct code reviews.
• Troubleshoot production issues and improve reliability.

Skills

Python

AWS

Terraform

Distributed systems

RESTful APIs

Docker

Kubernetes

OOP & design patterns

Data pipelines

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

We are seeking an experienced Senior Python Engineer with strong expertise in Python development, AWS cloud services, Terraform, and distributed systems. The ideal candidate will design and develop scalable backend applications, automate cloud infrastructure, optimize system performance, and provide technical leadership while collaborating closely with clients and cross-functional stakeholders.

Key Responsibilities

• Design, develop, and maintain scalable RESTful APIs and data engineering pipelines using Python and distributed computing frameworks.
• Provision, manage, scale, and optimize AWS cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
• Translate high-level business and technical requirements into detailed Low-Level Designs (LLDs), focusing on performance, scalability, and database efficiency.
• Design and implement reliable, high-performance backend services and distributed systems.
• Optimize database schemas, queries, indexing strategies, and data access patterns across relational and non-relational databases.
• Collaborate directly with clients and external stakeholders to gather requirements, clarify business needs, and recommend technical solutions.
• Mentor junior developers, lead daily standups, conduct peer code reviews, and establish engineering best practices.
• Troubleshoot production issues and drive improvements in application reliability, security, and performance.

Required Technical Skills

• Strong hands-on experience with Python programming, object-oriented programming (OOP), software design patterns, and production-grade application development.
• Extensive experience with AWS services, including S3, EC2, Lambda, RDS, and containerized deployments.
• Proven experience using Terraform for Infrastructure as Code, including infrastructure provisioning, reusable modules, and multi-environment deployments.
• Strong experience designing, developing, and integrating RESTful APIs and microservices.
• Solid knowledge of relational and non-relational databases, including schema design, indexing, query optimization, and performance tuning.
• Experience building distributed systems, concurrent applications, and high-throughput data processing pipelines.
• Strong understanding of system design, Low-Level Design (LLD), scalability, fault tolerance, and performance optimization.
• Experience with Docker, Kubernetes, or other containerization technologies is beneficial.

Leadership and Communication

• Strong stakeholder management and client-facing communication skills.
• Ability to translate business requirements into effective technical solutions.
• Proven ability to mentor developers, lead technical discussions, and conduct constructive code reviews.
• Strong problem-solving skills and the ability to take ownership of technical deliverables.

Ideal Candidate

The ideal candidate is a hands-on senior engineer who combines strong Python development skills with AWS cloud expertise, Terraform-based infrastructure automation, distributed systems knowledge, and technical leadership capabilities.