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Kanerika Inc

Senior AI + Java Platform Engineer

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Job Description

Senior AI + Java Platform Engineer

About Kanerika

Kanerika Inc. is a premier global software products and services company specializing in innovative solutions for data-driven enterprises. We help organizations accelerate digital transformation and maximize business impact through Data Analytics, AI/ML, GenAI/LLM, Data Governance, and cloud technologies.

We leverage cutting-edge technologies and enterprise-grade architectures to help businesses optimize operations, enhance customer experiences, and drive growth.

Awards & Recognition

  • CMMI Level 3 Appraised (2024)
  • Best Place to Work 2022 & 2023 by Great Place to Work®
  • Frost & Sullivan India 2021 Technology Innovation Award
  • ISO 27701, ISO 27001, SOC2, and GDPR compliant
  • Featured as a Top Data Analytics Services Provider by GoodFirms

Location

Hyderabad / Indore / Ahmedabad (India)

About the Role

Kanerika is looking for experienced Senior AI + Java Platform Engineers to work on strategic enterprise initiatives focused on building scalable AI Governance, Observability, and Compliance platforms.

The ideal candidate will have strong expertise in Java backend engineering, distributed systems, AI integrations, telemetry pipelines, and cloud-native architectures.

You will help design enterprise-grade platforms capable of monitoring, governing, and securing AI interactions across large-scale enterprise environments.

Key Responsibilities

  • Design and develop scalable Java/Python backend systems and microservices
  • Build AI governance and observability capabilities for enterprise AI ecosystems
  • Develop telemetry ingestion pipelines and SIEM integrations
  • Implement event-driven and streaming architectures
  • Build AI monitoring capabilities including:
  • PII/PCI detection
  • AI policy enforcement
  • Hallucination and drift monitoring
  • Governance and audit controls
  • Integrate AI/LLM ecosystems with enterprise observability platforms
  • Develop APIs, connectors, enrichment pipelines, and transformation layers
  • Build monitoring, tracing, logging, and alerting frameworks
  • Collaborate with architecture, security, product, and engineering teams
  • Ensure platform scalability, reliability, and security compliance

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields
  • 4+ years of experience in Java backend engineering and AI systems

Core Technical Skills

  • Strong Java development experience
  • Spring Boot & Microservices Architecture
  • REST APIs & Distributed Systems
  • Event-driven architectures
  • Python programming
  • LLM integrations and AI orchestration
  • Kafka & streaming systems
  • OpenTelemetry / ELK / Datadog / Prometheus
  • AWS / Azure / GCP
  • Docker & Kubernetes
  • CI/CD pipelines
  • Git & Jenkins

AI & Governance Knowledge

  • AI governance principles
  • PII / PCI compliance
  • Responsible AI frameworks
  • AI observability concepts
  • Hallucination and drift monitoring

Good to Have

  • Splunk / Sentinel / QRadar / Elastic integrations
  • MLflow / LangSmith
  • Vector databases & RAG architectures
  • Spark / Flink streaming
  • GenAI production systems

Why Join Kanerika

  • Work on cutting-edge enterprise AI platforms
  • Be part of high-impact AI governance initiatives
  • Collaborate with experienced architects and engineering leaders
  • Fast-paced, innovation-driven work environment
  • Excellent learning and growth opportunities
  • Competitive compensation and benefits

Employee Benefits

  • Flexible working hours
  • Health & wellness benefits
  • Learning & certification support
  • Mentorship programs
  • Open and collaborative work culture
  • Generous PTO and employee engagement initiatives

If you're passionate about scalable AI systems, platform engineering, and enterprise-grade backend architecture, we'd love to hear from you.

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About Company

Job ID: 148678969

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Hyderabad, India

Skills:

Distributed SystemsElkPrometheusSpring BootDatadogDockerAWSJavaJenkinsGitGcpPython ProgrammingRest ApisAzureKubernetesAI observability conceptsAI governance principlesHallucination and drift monitoringResponsible AI frameworksMicroservices ArchitectureOpenTelemetryAI orchestrationPII PCI complianceCI CD pipelinesLLM integrationsKafka streaming systemsEvent-driven architectures