Senior Backend Engineer

About the Roles

We are seeking a
Senior Backend Engineer
with expertise in
Java, Spring Boot, Python (FastAPI), API design, security, and enterprise platform development
. This role focuses on building robust, scalable, and secure backend services that power the
Z2 Enterprise Platform
, enabling rich functionality across supply chain applications, user workflows, and AI-driven features.

In addition to traditional backend responsibilities, this role includes integrating with
Generative AI systems and LLMs
, building API endpoints for intelligent assistants, enabling
search and indexing
via systems like
Elasticsearch
, and supporting scalable PostgreSQL-based persistence layers. You'll work closely with frontend, DevOps, product, and AI/ML teams to deliver
enterprise-grade capabilities
with modern architectural patterns.

You will be responsible for designing and implementing
secure, high-performance, and extensible backend components
that support multi-tenant, microservices-based enterprise applications — while also embedding
AI-powered workflows and intelligent features
using LLMs and vector stores.

The ideal candidate combines
deep backend engineering skills
with a strong product mindset, and is excited about delivering
AI-native enterprise features at scale
.

Key ResponsibilitiesBackend Services & Architecture

• Design, develop, and maintain backend services and APIs using
  Java (Spring Boot)
  and
  Python (FastAPI)
  .
• Architect systems for
  scalability, security, and performance
  in microservices/cloud-native environments.
• Implement
  modular service layers
  to support domain logic, integrations, and cross-cutting concerns.

Database Performance & Scaling

• Optimize
  PostgreSQL
  schemas, queries, indexes, and connections for high-performance data access.
• Architect
  scalable data models and sharding/partitioning strategies
  for large datasets.
• Proactively monitor and troubleshoot
  database performance bottlenecks
  .

API Design & Data Access

• Build secure, versioned
  RESTful APIs
  (GraphQL experience is a plus) for web, mobile, and AI integrations.
• Implement structured
  API contracts
  with proper governance, validation, and observability.
• Ensure data access follows
  RBAC/ABAC principles
  and supports multi-tenant contexts.

LLM & AI Integration

• Integrate with
  LLM platforms (OpenAI, Anthropic, Hugging Face, etc.)
  to expose AI-powered capabilities via backend services.
• Build
  RAG (Retrieval-Augmented Generation)
  flows and streaming pipelines to support GenAI workflows.
• Collaborate with AI/ML engineers to expose model endpoints, prompt templates, and feedback loops via APIs.
• Manage vector databases (e.g.,
  pgvector, Pinecone
  ) and embed AI inference into core platform services.

Security & Best Practices

• Implement strong
  authentication/authorization
  using Spring Security, JWT, OAuth2, and SSO.
• Enforce backend
  security best practices
  , API rate-limiting, and protection against common vulnerabilities (OWASP).
• Drive code quality through
  unit testing, static analysis, and CI/CD workflows
  .

Collaboration & Mentorship

• Collaborate with
  product managers, frontend engineers, DevOps, and AI/ML teams
  to define architecture and roadmap.
• Mentor junior developers and conduct
  code reviews and design walkthroughs
  .
• Contribute to
  technical documentation, RFCs, and system design artifacts
  .

Required Skills and QualificationsCore Backend Skills

• 5+ years of backend development experience with
  Java (Spring Boot)
  and
  Python (FastAPI or Flask)
  .
• Strong understanding of
  object-oriented design
  ,
  microservices
  , and distributed systems.

Data Engineering / Infrastructure Expertise

• Experience building and managing
  ETL pipelines
  for large-scale data ingestion.
• Strong experience with
  Elasticsearch / OpenSearch
  , schema design, indexing, and tuning.
• Deep knowledge of
  PostgreSQL performance optimization, scaling, partitioning
  , and replication.

API Design & Cloud-Native Architecture

• Proficiency in designing
  REST APIs
  ; familiarity with
  GraphQL
  is a plus.
• Experience with
  Docker, Kubernetes, Helm
  , and CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD.

Security & Performance

• Hands-on experience with
  Spring Security, OAuth2, JWT, and secure API practices
  .
• Familiarity with
  profiling, monitoring, and performance tuning tools
  (Prometheus, Grafana, etc.).

AI/LLM Integration (Preferred)

• Exposure to
  LLM integration
  (e.g., OpenAI, Hugging Face Transformers, LangChain).
• Experience with
  vector databases
  , embeddings, and
  RAG architectures
  .
• Understanding of
  AI observability, prompt logging, and feedback-driven refinement
  is a plus.

Preferred Qualifications

• Experience with
  event-driven architectures (Kafka, RabbitMQ)
  .
• Familiarity with
  serverless deployments
  (AWS Lambda, API Gateway).
• Exposure to
  data observability and anomaly detection tools
  .
• Prior work on
  LLMOps or GenAI product workflows
  is highly desirable.

Education

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

What We Offer

• Opportunity to work on mission-critical backend systems and data infrastructure.
• Competitive salary and comprehensive benefits package.
• Collaborative and innovative work environment with modern tools and processes.