Live opening · Posted 5 days ago
SDE 3 Backend
Teachmint · Bengaluru, Karnataka, India (On-site)
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At a glance
The key details from the original listing.
CompanyTeachmint
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
Source
Linkedin
Listed5 days ago
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About the role
Description supplied by the original job listing.
About the role:
Teachmint is looking for a highly skilled SDE 3 – Backend engineer to drive the design and development of our large-scale backend systems. In this role, you'll take ownership of complex technical problems, build high-performance services in Python, and influence architectural decisions across the engineering team.
Key Responsibilities:
Technical Ownership: Lead end-to-end development of backend services, ensuring scalability, reliability, and performance.
Architecture & System Design: Define and implement robust backend architectures aligned with best practices and business needs.
Hands-on Development: Write clean, efficient, and maintainable code while contributing to testing, debugging, and optimization.
Cross-Functional Collaboration: Partner with frontend, DevOps, product, and QA teams to deliver cohesive solutions.
Code Quality: Conduct thorough code reviews and ensure adherence to engineering standards.
Problem Solving: Diagnose production issues, perform root-cause analysis, and implement long-term fixes.
Continuous Improvement: Explore new technologies, evaluate tools, and propose innovative approaches to enhance backend capabilities.
Requirements and Skills:
Python Proficiency: 5+ years of experience with Python 3.x and frameworks like Django or Flask.
Backend Excellence: Strong background in system design, architecture patterns, and distributed systems.
Database Skills: Experience working with both NoSQL (MongoDB, Cassandra) and relational databases (MySQL, PostgreSQL).
Cloud Experience: Hands-on exposure to AWS, GCP, or Azure.
Authentication & Authorization: Working knowledge of OAuth 2.0, OIDC, SAML 2.0, and JWT token lifecycle, plus institutional SSO with providers like Google Workspace or Microsoft Entra ID.
Observability: Hands-on with Open Telemetry, Prometheus/Grafana, distributed tracing, and defining SLIs and SLOs.
Event-Driven Infrastructure: Experience with Kafka, Pub/Sub, or similar, including idempotency and delivery semantics.
Nice to Have:
Knowledge of Docker, Kubernetes, or other container orchestration solutions.
Experience with Pytest, Unittest, or similar testing frameworks.
Familiarity with CI/CD pipelines and automation tools.
Compliance and Governance:** Exposure to GDPR, FERPA, or COPPA requirements, data residency constraints, consent management, and audit logging.
Cost and Efficiency: Experience owning cloud spend, right-sizing infrastructure, and tuning autoscaling for efficiency at scale.
Work arrangement
No
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