Senior Backend Developer (Python) at Devsavant

ABOUT DEVSAVANT DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors. With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone. ABOUT THE ROLE We are seeking Senior Backend Software Engineers to join our distributed engineering team. This is an individual contributor role embedded within cross-functional teams, focused on building and maintaining the backend services and infrastructure that power our AI platform. The role is heavily backend-oriented, with a strong emphasis on designing and developing scalable, reliable services using Python in an AWS environment. While familiarity with AI systems and production LLM patterns is a strong plus, the core need is for engineers who can build robust APIs, data pipelines, integrations, and infrastructure that enable our AI-driven products to operate effectively at scale. The ideal candidate is a hands-on engineer who thrives in fast-paced environments, takes ownership, and is comfortable working with evolving requirements. KEY RESPONSIBILITIES BACKEND ENGINEERING & PLATFORM DEVELOPMENT - Build and maintain backend services using Python and FastAPI within a microservices architecture - Design and implement scalable, reliable APIs and data processing systems - Contribute to both new platform development and legacy systems as needed - Write clean, well-tested, and maintainable code following best practices - Participate actively in code reviews and continuous improvement of engineering standards INTEGRATIONS & DATA INFRASTRUCTURE - Own integrations with third-party systems such as CRMs, DMS platforms, inventory systems, and communication tools - Build and maintain data ingestion and synchronization pipelines across multiple data sources - Support email, SMS, and chat delivery infrastructure - Ensure data consistency, reliability, and performance across services CLOUD, DEVOPS & OBSERVABILITY - Work within an AWS-based infrastructure (EKS/Kubernetes and related services) - Contribute to highly reliable and observable systems through logging, metrics, and alerting - Collaborate on CI/CD pipelines using GitLab - Utilize observability tools such as Datadog to monitor system health and performance COLLABORATION & EXECUTION - Collaborate closely with product managers, engineering leads, and cross-functional teams - Translate evolving and sometimes ambiguous requirements into working software solutions - Take ownership of features and systems, driving them from concept to production - Operate effectively in a distributed, remote-first environment across time zones CORE TECHNICAL STACK BACKEND - Python as the primary language (PHP + Python in legacy systems) - FastAPI for new services (with some legacy Django components) - PostgreSQL as the main database (MySQL in legacy systems) - Microservices architecture deployed on Kubernetes (EKS) on AWS DEVOPS & TOOLING - AWS-centric infrastructure (EKS, S3, SQS, Lambda, etc.) - GitLab for CI/CD pipelines - Datadog for logging, monitoring, and observability REQUIRED QUALIFICATIONS - 5+ years of professional backend software engineering experience - Strong proficiency in Python with experience building production-grade services - Experience with web frameworks such as FastAPI, Django, or Flask - Solid understanding of relational databases (PostgreSQL and/or MySQL), including schema design, query optimization, and migrations - Experience with cloud infrastructure, preferably AWS (EC2, ECS/EKS, S3, SQS, Lambda, or similar) - Familiarity with containerization and orchestration (Docker, Kubernetes) - Experience building and maintaining RESTful APIs and data integration pipelines - Strong foundation in software engineering practices: Git, testing, CI/CD, and code reviews - Strong communication skills and ability to collaborate in distributed teams across time zones - Proactive, curious mindset with a focus on continuous improvement - Active use of AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor) in daily workflows - Working proficiency in English for team communication and documentation NICE TO HAVE - Familiarity with agentic AI patterns and production LLM systems - Experience with production AI systems (RAG pipelines, LLM integrations, agent orchestration) - Experience managing AWS infrastructure using Terraform - Familiarity with observability tools such as Datadog - Experience working with data from CRMs, DMS platforms, or marketing automation systems - Experience in B2B SaaS environments