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DevSavant

Mission control for your tech and software operations that will let your company GROW.

Senior Backend Developer, Python

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 2020H1B No SponsorCompany SiteLinkedIn

Location

Latin America

Posted

125 days ago

Salary

0

Seniority

Senior

Job Description

Senior Backend Developer, Python

DevSavant

• 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 • 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 • 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 • 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.

Job Requirements

  • 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.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

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Platform Reliability & Observability - Implement and enhance observability frameworks including logging, tracing, metrics, and alerting using Splunk, Datadog, Sentry, and PagerDuty. - Collaborate with SRE and cloud teams to design and maintain high-availability architectures across AWS and GCP. - Lead Incident and Problem Management practices -- ensuring rapid detection, efficient triage, root cause analysis, and long-term remediation. - Define and maintain SLIs/SLOs, build dashboards, and automate monitoring and alerting workflows. - Contribute to on-call rotations and ensure incident response readiness across critical systems. 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Required Skills - Solid backend or platform engineering experience in high-availability, transaction-heavy, or FinTech environments. - Experience with Ruby on Rails for building backend APIs and services. - Solid SQL development skills with PostgreSQL and GCP BigQuery. - Strong proficiency with AWS and GCP Cloud infrastructure and services. - Hands-on expertise in observability tools: Splunk, DataDog, PagerDuty. - Proven experience in Incident Management and Problem Management from detection to post-incident review. - Excellent troubleshooting, analytical, and collaboration skills across distributed systems. Bonus / Preferred Skills - Understanding of Network OSI model, SQS, Kafka, Data Replication, and API integrations. - Experience designing scalable architectures in AWS. - Exposure to AI/ML, particularly LLM (Large Language Model) integrations. - ITIL v4 Certification or demonstrated familiarity with IT service management best practices. 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