Senior Software Engineer

Role:
Senior Backend Engineer

Tech Stack:
Django, Python, Postgres

Function:
Engineering

Location:
Kolkata

Type:
Full-time

Industry:
SaaS, Health-Tech

About Company

A rapidly growing SaaS company operating in the healthcare technology space, focused on building smart, data-driven solutions that help service providers improve operational efficiency and patient engagement. The platform is purpose-built for a specialised segment within healthcare, with deep use cases tailored for practices like dental care. With a strong and growing customer base across global markets, the company is on a mission to simplify practice management through intuitive tools and automation — all driven by a passionate, cross-functional team.

Position Overview

You design and scale Django/Python services that power a healthcare SaaS platform. You blend backend engineering with applied ML to deliver real-time and batch intelligence. Your work drives faster workflows for clinicians and better experiences for patients.

Role & Responsibilities

• You will build and evolve backend services and RESTful APIs in Django/Python with production-grade performance and reliability.
• You will own the data layer: design efficient relational schemas in PostgreSQL, tune queries, and manage migrations via SQLAlchemy and Alembic.
• You will implement robust CI/CD pipelines: define Git branching strategies, automate build/test/deploy, enable safe rollbacks, and manage environment promotion.
• You will optimise runtime using Redis caching and Nginx reverse proxying to improve throughput, reduce latency, and handle secure traffic.
• You will collaborate with product and operations teams to translate requirements into executable technical plans with clear milestones.
• You will productise AI/ML by designing and deploying model inference services for batch and real-time use cases, implementing feature pipelines, and integrating models into backend flows.
• You will ensure ML reliability by versioning models and datasets, tracking experiments, monitoring drift and model performance, and managing rollbacks of model versions.
• You will integrate data sources: orchestrate ETL/ELT for training and inference, and apply data validation and governance for privacy and compliance.
• You will measure impact by instrumenting services and models with metrics, logs, and traces; running A/B tests and canary releases for model and API changes.

Must have Criteria

• You bring 4+ years of software development experience delivering production Python and Django backends and RESTful APIs.
• You have proven leadership guiding engineers, setting standards, and conducting design and code reviews.
• You possess deep RDBMS knowledge, specifically PostgreSQL schema design, indexing, transactions, and performance tuning.
• You are proficient with SQLAlchemy and Alembic for model definitions, schema versioning, and safe forward/backward migrations.
• You demonstrate expertise in CI/CD and Git, including pipeline design, gated testing, release automation, and effective branching workflows.
• You have practical experience with Redis caching strategies, eviction patterns, and secure high-throughput proxying with Nginx.
• You understand NoSQL paradigms and know when to apply them alongside relational stores.
• You have applied machine learning experience, integrating and serving models in production and managing the model lifecycle.
• You are familiar with ML tooling such as scikit-learn, PyTorch or TensorFlow, model serving frameworks, and experiment tracking.

Nice to Have

• Experience with cloud-native delivery using Docker/Kubernetes and infrastructure as code within CI/CD workflows.
• Familiarity with observability practices covering metrics, logs, and tracing for performance and reliability.
• Knowledge of retrieval and vector search integrations, feature stores, streaming pipelines, or GPU-aware workloads.

What We Offer

• Impact at scale; safeguard mission-critical healthcare SaaS.
• Customer-first mission; ensure reliable releases for clinicians and patients.
• Competitive salary, performance bonuses, PTO, health benefits, and potential equity.