AI/ML Software Engineer

Genzeon Technology Solutions; Maharashtra; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Genzeon Technology Solutions is seeking a hands-on Full-Stack Software Engineer to build, ship, and operate production systems end-to-end. You’ll work across the stack—React on the front end, Python services on the back end, and PostgreSQL in the data layer—while contributing to reliability and continuous delivery.

You’ll design and implement React components, develop Python APIs, and write performant SQL. You will automate workflows with shell scripting and partner with SRE/DevOps on

Qualifications

• Hands-on full-stack engineer with React and Python experience.
• Strong SQL/PostgreSQL skills including indexing and migrations.
• Experience with CI/CD, observability, and basic SRE practices.

Responsibilities

• Design, build, and maintain React SPA components and state management.
• Develop Python services/APIs with robust data models and tests.
• Write efficient SQL, tune queries, and manage schema changes.
• Automate build/deploy with UNIX scripts and CI/CD pipelines.
• Collaborate with SRE/DevOps for monitoring, SLIs/SLOs, and incidents.
• Participate in code reviews, design docs, and quality standards.
• Provide production support and occasional extended hours during releases.

Skills

ReactJS

Python

PostgreSQL

Shell scripting

CI/CD

SRE fundamentals

TDD

OpenAPI/Swagger

Kubernetes

Security best practices

Tools

Azure DevOps

Git

PostgreSQL tooling

Docker

Job description

Job Description About the Role We’re looking for a hands-on Full-Stack Software Engineer who can build, ship, and operate production systems end-to-end. You’ll work across the stack—React on the front end, Python services on the back end, and PostgreSQL in the data layer—while contributing to reliability, automation, and continuous delivery. The ideal candidate pairs strong technical depth with ownership, teamwork, and a growth mindset. What You’ll Do

• Design, build, and maintain ReactJS single-page applications (state management, routing, performance).
• Develop Python services and APIs (REST/GraphQL), including data models, validation, and testing.
• Write performant SQL (PostgreSQL), including stored procedures/functions, query tuning, and schema evolution.
• Automate workflows with UNIX shell scripting (build, deploy, data/backups, environment automation).
• Partner with SRE/DevOps on observability (metrics, logs, traces), SLIs/SLOs, capacity, and incident response.
• Collaborate closely with designers, product managers, and peers to deliver incremental value with high quality.
• Contribute to code reviews, technical design docs, and engineering standards.
• Own outcomes—help troubleshoot production issues, and support occasional extended hours during critical releases/incidents.
• Core Skills & Experience (Must-Have)
• ReactJS: modern hooks, component patterns, state management (Context/Redux/Zustand), performance basics.
• Python: strong hands-on experience with one or more frameworks (e.g., FastAPI, Flask, Django REST).
• SQL/PostgreSQL: advanced querying, indexes, transactions, stored procedures/functions, migrations.
• Shell scripting (UNIX): practical automation, tooling, and safe scripting practices.
• Azure DevOps (ADO): pipelines, boards, artifacts; Git workflows; branch strategies; release management.
• Set up and improve CI/CD pipelines (Azure DevOps/ADO preferred) with quality gates and automated tests.
• SRE fundamentals: instrumentation, alerting, on-call etiquette, incident handling, post[1]mortems, basic capacity planning.
• Software engineering practices: TDD/automated testing (PyTest/Jest), code reviews, documentation, secure coding.
• Nice to Have (Added Advantage)
• TypeScript on the front end; component libraries (MUI/Ant/Tailwind).
• API design (OpenAPI/Swagger), AuthN/Z (OAuth2/OIDC/JWT), rate limiting, and API gateways.
• Caching & Messaging: Redis; basic knowledge of queues/streams (RabbitMQ/Kafka) and webhooks.
• Observability stack: Prometheus/Grafana, OpenTelemetry, ELK/EFK, Sentry.
• Security & Compliance: secrets management, dependency scanning, least-privilege, threat-model basics.
• Data & Integration: ETL basics, file parsers, batch jobs, cron/schedulers.
• AI/ML familiarity (not mandatory): calling model endpoints, embeddings, vector stores, OCR pipelines.
• Kubernetes (nice to have): workloads, services, config, and deployments.
• How You Work (Values & Behaviors)
• Team-first collaborator: communicates clearly, gives/receives feedback, unblocks others.
• Ownership & initiative: picks up ambiguous problems, proposes options, drives to closure.
• Responsive & reliable: proactive updates; manages expectations; holds a high bar for quality.
• Growth mindset: learns quickly, shares knowledge, improves systems and processes.
• Whole-picture thinking: considers product, users, reliability, cost, and operational impact.
• Resilience: willing to support critical paths and occasional extended hours to see problems through to resolution.

Qualifications

• 3–8+ years of full-stack engineering experience (or equivalent impact).
• Proven delivery of production React + Python + PostgreSQL applications.
• Preferable experience with CI/CD and at least basic SRE/operability practices