Job ID: 289591

DevOps Backend Engineer

Vowels of the People Association

Location: Pune, Maharashtra

Apply by: 11 May 2026

Relevant Sectors

Infrastructure, Technology, Engineering, Science

Private Sector, Corporate Social Responsibility

About the Role :

We are looking for a sharp, self-driven engineer who lives and breathes infrastructure; someone who can own cloud architecture, keep databases healthy at scale, and also contribute to our AI/ML pipeline. You will be a core member of a lean, high-impact engineering team and will work directly with the CTO on technical decisions that affect millions of users.

Roles and Responsibilities:

• Design, deploy, and maintain production infrastructure on AWS — ECS Fargate, EC2, S3, CloudFront, Route 53, IAM, and related services
• Own CI/CD pipelines for reliable, zero-downtime deployments
• Monitor infrastructure health using CloudWatch, set up alerting, and conduct root cause analyses on incidents
• Manage and optimize AWS costs — including Cost Explorer reviews and resource rightsizing
• Handle DNS migrations, SSL certificates, and CDN configurations
• Draft and execute quota increase requests, architecture proposals, and runbooks
• Administer and optimize MongoDB replica sets and Atlas clusters in production environments
• Diagnose and resolve complex database issues — lock contention, connection pool exhaustion, replication lag, and slow queries
• Design robust schema migration strategies for dev/prod sync, including migration-based versioning
• Work with caching layers such as Redis / Valkey / ElastiCache for performance and distributed state
• Implement data backup, retention, and disaster recovery policies
• Write clean, maintainable backend code — primarily in Python (FastAPI preferred) — following SOLID and DRY principles
• Understand and apply system design patterns: circuit breakers, bulkhead, rate limiting, HPA, PDB
• Contribute to API design, data modeling, and service architecture discussions
• Participate in code reviews and uphold engineering standards across the team
• Deploy and manage ML model inference on cloud infrastructure, including containerized endpoints
• Contribute to fine-tuning workflows for LLMs and Vision Language Models (VLMs)
• Integrate AI services (AWS Bedrock, OpenAI, or equivalent) into production applications

Qualifications:
• 1+ years of hands-on AWS experience in production environments
– ECS / Fargate, S3, CloudFront, Route 53, IAM, CloudWatch
– Cost management and infrastructure security best practices
• Strong MongoDB or Postgres expertise
– Replica sets, Atlas, query optimization, indexing, aggregation pipelines
– Experience debugging production incidents (ReplicaSetNoPrimary, lock contention, etc.)
• Solid backend development skills
– REST APIs, async patterns, FastAPI or equivalent
• Familiarity with containerization (Docker), Github and orchestration (ECS or Kubernetes)
• Strong debugging and root cause analysis mindset
• Experience fine-tuning LLMs or VLMs (LoRA, QLoRA, Unsloth, Hugging Face, etc.)
• Exposure to on-device ML deployment (ONNX, TFLite, CoreML, Android NNAPI)
• Experience with Redis / Valkey / ElastiCache for distributed caching
• Prior work in EdTech, social impact tech, or large-scale civic platforms

What We Offer :
• Work on live systems impacting millions of students and teachers across Maharashtra
• High autonomy - we trust engineers; we don't micromanage
• Exposure to cutting-edge AI/ML deployment challenges at the edge
• A flat team where your ideas are heard and shipped
• Competitive compensation aligned with social-sector norms, with room to grow

Details:
• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website https://careers.vopa.in/
• Website: https://vopa.in/
• Salary :- 5 LPA to 6 LPA

Job Email ID:

hr.vopa(at)vopa.in