Atul Dhiman

Software Engineer

India7 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Architected distributed transaction systems at Oracle.
Reduced manual effort by 90% with AI-powered workflows.
Expert in building cloud-native platforms and microservices.

Stackforce AI infers this person is a SaaS-focused Senior Software Engineer with expertise in distributed systems and microservices.

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Skills

Core Skills

Distributed SystemsMicroservicesArtificial Intelligence (ai)Software Development

Other Skills

JavaPython (Programming Language)Node.jsKubernetesApache KafkaREST APIsCI/CDObservabilityLLMsGenAIOpenTelemetryAnomaly DetectionMachine LearningTime-Series ModelsPerformance Testing

About

I'm a Senior Software Engineer with 6+ years building distributed systems, microservices, and cloud-native platforms at Oracle. I've shipped production systems that process enterprise-scale distributed transactions, orchestrated AI-powered workflows using LLMs, and reduced manual effort by up to 90% through intelligent automation. My core stack: Java · Golang · Spring Boot · Kubernetes · Apache Kafka · Oracle Cloud I've built everything from client SDKs and Helm Charts to GenAI agents and CI/CD pipelines — and I care deeply about observability, fault tolerance, and clean API design. Currently open to Senior/Staff Engineer roles in distributed systems, platform engineering, or backend infrastructure. Feel free to reach out at atuldhiman94@gmail.com.

Experience

7 yrs 2 mos

Total Experience

3 yrs 7 mos

Average Tenure

5 yrs 9 mos

Current Experience

Oracle

2 roles

Senior Member of Technical Staff

Promoted

May 2023 – Present · 3 yrs 1 mo · Hybrid

Senior Member of Technical Staff
Oracle India Pvt. Ltd. | Sep 2020 – Present | Bengaluru, India
── Oracle MicroTx (Distributed Transaction Manager) ──
Architected core features of MicroTx, enabling ACID-compliant distributed
transactions across microservices on Kubernetes.
Built secure JAX-RS REST APIs with Oracle IDCS for authenticated transaction
execution at scale.
Developed client SDKs in Java, Python & Node.js, reducing microservice
onboarding effort significantly.
Authored Helm Charts for repeatable Kubernetes deployments and implemented
CI/CD pipelines with Jenkins and observability tooling.
── Conductor OSS (Enterprise Workflow Orchestration) ──
Led development of an enterprise orchestration platform on Netflix Conductor
OSS, coordinating 50+ integrated services.
Built GenAI-powered agents using LLMs to automate complex business workflows
reducing manual effort by up to 90%.
Implemented connection-level caching for SFTP and DB integrations, improving
throughput by 30%.
Built a test-connectivity framework for early failure detection across DB,
SFTP, and LLM providers.
Secured multi-tenant workflows with JWT authentication and RBAC.
Integrated OpenTelemetry-based distributed tracing and real-time dashboards.

JavaPython (Programming Language)Node.jsKubernetesApache KafkaREST APIs+4

Member Of Technical Staff

Sep 2020 – May 2023 · 2 yrs 8 mos · Hybrid

Developed MicroTx
Transaction Manager for Microservices https://www.oracle.com/in/database/transaction-manager-for-microservices/

Python (Programming Language)Node.jsDistributed Systems

Cisco

Software Engineer Intern

May 2019 – Jul 2019 · 2 mos

Designed and implemented anomaly detection systems using time-series models and LSTMs to address capacity planning challenges in real-time calling platforms, reducing alert noise and increasing customer retention by 40%.
Built machine learning models to predict call volume for capacity planning.

Anomaly DetectionMachine LearningTime-Series ModelsArtificial Intelligence (AI)