Backend Engineer – Python, AWS & GenAI
Jobgether
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This role on the market
1,068 open backend roles across 399 companies are on ApplySarthi right now, most of them in Bengaluru (92), Delhi NCR (25), Pune (20).
- Software Engineer II - Java backend + Agentic AIJPMorgan · delhi ncr
- Senior Software Engineer, Backend (Consumer - Risk)Coinbase
- Intermediate Backend Engineer, AuthorizationGitLab · bengaluru
- Sr. Software Engineer, BackendPendo
- Lead Engineer- BackendTarget · bengaluru
What backend roles keep asking for: AWS (49%), System design (47%), Python (44%), Kubernetes (37%), Java (34%), Observability (32%), PostgreSQL (27%), Kafka (24%) — counted across their open postings here.
Remote Backend Engineer jobs · AWS jobs · Django jobs · Docker jobs · FastAPI jobs
Jobgether has 3,783 open roles listed here.
- Full Stack Engineer (Front-End)
- Head of Global Support
- Head of Global Support
- Lead Site Reliability Engineer
- Medical Devices Installation Project Coordinator
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for backend roles keep coming back to AWS, System design, Python, Kubernetes. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Python? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Backend Engineer – Python, AWS & GenAI at Jobgether interview free →Accountabilities: Design, build, and maintain scalable backend systems using Python and frameworks such as FastAPI, Flask, or Django. Develop backend services supporting document retrieval, processing pipelines, and AI/GenAI workflows. Design and implement reliable APIs that integrate AI models, vector databases, embedding services, and other internal or external systems. Build reusable Python components and services that integrate effectively with AWS infrastructure. Develop and maintain containerized applications using Docker and modern deployment practices. Implement asynchronous processing and distributed system components to support scalable and reliable backend operations. Build and maintain logging, metrics, tracing, and internal monitoring tools to track system performance and reliability. Write clean, maintainable, testable, and reusable code, ensuring clear separation between business logic and infrastructure. Contribute to backend architecture, technical design, and engineering decisions. Take end-to-end ownership of backend systems, including development, deployment, monitoring, optimization, and long-term maintenance. Identify and resolve complex technical issues while continuously improving system performance, scalability, and reliability. Requirements: 4–8 years of professional experience in software engineering, with strong hands-on expertise in Python backend development. Practical experience with Python backend frameworks such as FastAPI, Flask, or Django. Proven ability to design and develop scalable APIs and backend services. Exposure to AI/ML or Generative AI applications, including model integrations, vector databases, embeddings, or document-processing systems. Hands-on experience working with AWS services and cloud-based infrastructure. Experience using Docker and modern deployment pipelines. Familiarity with distributed systems, asynchronous processing, and service-to-service communication. Understanding of functional programming concepts and maintainable software design principles. Ability to write clean, reusable, and testable code. Strong analytical and problem-solving skills, with the ability to work independently and take ownership of technical challenges. Professional-level English communication skills. Applicants must currently be based in Brazil. Benefits: Full-time, long-term contractor engagement. 100% remote working arrangement within Brazil. Opportunity to build advanced backend systems supporting AI and GenAI products. Ownership of technically challenging projects with meaningful enterprise impact. Collaboration with an international team of skilled professionals. Fast-paced environment that encourages innovation, autonomy, and continuous professional growth.
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Listed on lever · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.