Sarthak Srivastava

Software Engineer

Bengaluru, Karnataka, India5 yrs 5 mos experience

Key Highlights

Expert in building scalable microservices.
Proven track record in API performance optimization.
Strong experience with AWS and cloud technologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud technologies.

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Skills

Core Skills

Amazon Web Services (aws)Back-end Web DevelopmentSoftware DevelopmentMachine LearningComputer Vision

Other Skills

API OptimizationAWSAWS LambdaAeromodellingAutomationCSP ReportingCommunicationContainerizationCore JavaCreative IdeationDatabricksDistributed TracingDynamoDBEventBridgeEventBus

About

I'm a backend-focused software engineer who loves building scalable, reliable microservices. I enjoy solving complex problems, connecting systems, and making things work efficiently behind the scenes. I've built and optimized microservices using technologies like Go, Node.js, Python, Redis, PostgreSQL, and Kafka, and I’m experienced with Docker, Kubernetes, and cloud platforms like AWS and GCP. I’ve also designed filtering systems that improved both performance and user experience. I'm all about clean architecture, solid code, and getting things done.

Experience

5 yrs 5 mos

Total Experience

1 yr 7 mos

Average Tenure

11 mos

Current Experience

G-p

Software Engineer 2

May 2025 – Present · 11 mos · India · Remote

Working with the Platform NOVA Team:
Agreements Migration (Monolith → Microservices): Led migration of agreements from a monolithic system to microservices by implementing event-driven workflows with AWS EventBridge, SNS, SQS, and EventBus, designing Spring-based event publishers, and migrating agreement storage to DynamoDB for high consistency and performance.
API Performance Optimization (Location Services): Optimized key APIs (validateAddress, suggestGeoDetail, geoSubLocations, validatePath) by redesigning workflows and integrating with NeptuneDB; replaced legacy SQS → New Relic event publishing with a direct data sink → Databricks pipeline, achieving up to 80% latency reduction across services.
Observability & OpenTelemetry Integration: Spearheaded OpenTelemetry adoption across multiple AWS Lambda services, implementing distributed tracing, metrics, and logging pipelines; introduced configurable telemetry providers for flexible observability strategies.
Security & Vulnerability Management: Proactively identified and remediated critical security vulnerabilities (dependency risks, critical issues), strengthening service resilience and reducing attack surface.

AWSEventBridgeSNSSQSEventBusSpring+5

Harness

2 roles

Software Engineer

Aug 2023 – Mar 2025 · 1 yr 7 mos

Platform and Infra Team:
Automated end-to-end monitoring with Terraform, enabling seamless Prometheus setup and networking orchestration. Implemented self-healing monitoring configurations, ensuring continuous observability across services.
Worked with RBAC, and Optimized access-control microservice by batching role retrieval and using MongoDB streaming, reducing query latency by 30%.
Designed an advanced filtering system for secrets and connectors, boosting user efficiency by 60%. I enhanced the Harness platform by introducing customer-specific filters, enabling users to easily search and manage secrets and connectors based on type, name, tags, and descriptions.
Developed a CSP violation reporting system with real-time alerts, cutting incident detection time by 50%. Integrated Prometheus and Grafana dashboards to visualize CSP violations, enabling proactive issue resolution, and enhancing overall platform security.
Optimized Harness infrastructure for service deployment using Helm and Terraform in Dev-Space, allowing developers to efficiently provision and manage resources.

TerraformPrometheusRBACMongoDBCSP ReportingGrafana+3

Software Engineer

Feb 2023 – Aug 2023 · 6 mos

Set up monitoring in Self-Managed Platform by standardising on Prometheus and Grafana stacks, along with automation and containerization, resulting in a 70% decrease in manual intervention and observability for microservices and databases.
Integrate monitoring solutions over multiple teams, achieving a 20% reduction in incident response time. Improved overall application performance by 15%, thereby improving customer experience.
Provisioned infrastructure and configured networking resources in an Openshift environment, ensuring high availability and achieving a 90% platform uptime.

PrometheusGrafanaContainerizationAutomationSoftware DevelopmentBack-End Web Development

Capwise financial services private limited

Project Coordinator

Jan 2023 – Feb 2023 · 1 mo · Mumbai, Maharashtra, India

Grroom

Machine Learning Engineer Intern

Aug 2021 – Jan 2022 · 5 mos · Mumbai, Maharashtra, India · Remote

At Grroom, an IIT Bombay startup, we deploy YOLO Object Detection to create image recognition models. Worked to build an application on the concepts of object detection and computer vision.

Computer VisionYOLOObject DetectionMachine Learning