Neticca / Software
Senior Backend Engineer
nuevaDesde Argentina
- Argentina
- Contrato
- Modalidad no informada
- Senior
- 5+ años de experiencia
Requisitos
- python
- java
- sql
- aws
- inteligencia artificial
- • 5+ años de experiencia
- • inglés intermedio o más (el aviso está escrito en inglés)
Suma si tenés
- gestión de proyectos
La búsqueda
Senior Backend Engineer @ Neticca Job ID: 10017 Job Title: Senior Backend Engineer (Java, Python, AWS) Location: Remote (Latin America or Mexico; US Eastern (EST) business hours required) Duration: Full-Time, Long-Term Engagement (12+ Months)
About Neticca: Neticca is a technology and data consulting company. We help growing companies solve demanding engineering and data problems, from large-scale data migrations to streaming platforms and applied AI. Our engineers work closely with client teams, supported by Neticca's delivery standards, mentorship, and Center of Excellence.
About the Engagement: We are building out the delivery team for a long-term data engineering engagement centered on large data volumes and data migrations . We're hiring a Senior Backend Engineer to own the design and delivery of Java and Python systems on AWS , working alongside the client's engineers and holding a high bar on code quality and review. We expect disciplined use of AI coding tools: you design first, test in a structured way, and verify every output. Our selection process is rigorous. It includes a recorded video screen followed by several technical conversations with senior engineers.
What You'll Deliver:
• Production Java services and Python data pipelines that handle large data volumes reliably
• Data migrations from plan to cutover: scoping, validation, and rollback
• Streaming and batch workflows on AWS (S3, Kinesis, DynamoDB) and Kafka
• High-quality code reviews that improve design, not just style
• AI-assisted development done with discipline: design first, structured testing, line-by-line review of AI output, and cross-checking between tools
• Work driven by clear acceptance criteria, with tests written first or alongside the code ( TDD / BDD )
• Clear written and spoken explanations of technical trade-offs to the team
Must-Have Qualifications:
• 5+ years of professional software or data engineering experience, shipping and supporting production systems
• Hands-on Java experience in production (required)
• Strong Python skills with Pandas and related data libraries
• Hands-on AWS experience using boto3 , including S3 and at least one of Kinesis or DynamoDB
• Experience with a streaming platform such as Kafka (or Kinesis) in a production setting
• Solid SQL and working knowledge of JSON and Parquet data formats
• Experience with large data volumes or data migrations , and the ability to explain the design trade-offs
• A real code review habit: you review carefully and can show examples
• Disciplined use of AI coding tools : you verify, test, and cross-check AI output rather than accepting it by default
• Working experience with TDD / BDD and writing code against acceptance criteria
• Excellent spoken and written English ; you will be interviewed by several senior engineers
• Based in Latin America or Mexico and available during US Eastern (EST) business hours (mandatory)
Nice to Have:
• Experience with Apache Flink or other stream-processing and OLAP tools
• Experience with StarRocks
• Experience building, monitoring, and fixing AI agents to get the behavior you want
• Experience working in a distributed team with US hours overlap
• Familiarity with Jira or Rally in an agile team
Why Join Neticca?
• Competitive Salary & Benefits: We offer a generous compensation package for top-tier talent.
• Meaningful Engineering Problems: Work on large-scale data and migration challenges where design decisions matter.
• Delivery Standards & Mentorship: Structured onboarding, peer support, and access to Neticca's Center of Excellence.
• Career Growth: Grow with a company that invests in your development and values your expertise.
• Long-Term Engagement: A stable, full-time role (12+ months) with clear expectations.
Publicado en LinkedIn · vía Apify. Los datos de requisitos los extrae Maru del aviso: ante cualquier duda, manda el aviso original.