Ansh Jain — Software Engineer

Backend Software Engineer with 3+ years of experience building scalable distributed systems, real-time streaming pipelines, and cloud-native data infrastructure. I design, build, ship, and own backend services end-to-end - from system design to production deployment to on-call. What I bring: ✨ Backend & Distributed Systems — Java, Golang, Python, Spring Boot. Built microservices, streaming connectors, and data pipelines processing high-volume real-time events at production scale. ✨ Data & Cloud Infrastructure — Kafka, BigQuery, Elasticsearch, MongoDB, Spark, S3. Built ETL pipelines using Kafka and Spark Streaming, migrated data infrastructure across storage systems (60% faster retrieval, 45% lower latency), and unified schemas across multiple databases achieving 90% warehouse visibility. ✨ System Ownership & Reliability — Built migration frameworks serving 200+ production workloads. Drove incident analysis and implemented permanent fixes for recurring production issues. Own infrastructure setup across multiple cloud services (GCP, AWS, Azure). ✨ GenAI & Intelligent Automation — Built LLM-powered on-call automation tools for incident triage and alert analysis, reducing manual debugging effort and improving mean time to resolution. ✨ Strong analytical and problem-solving skills, demonstrated by top competitive programming ranks and extensive hands-on experience with debugging distributed systems, optimizing performance, and reducing operational burden. ✨ Passionate about innovation and continuous improvement, consistently adopting modern engineering practices, collaborating with cross-functional teams, and delivering solutions that improves reliability, performance, and user experience.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS with expertise in distributed systems and data engineering.

Experience: 6 yrs 2 mos

Skills

Microservices
Distributed Systems
Data Engineering
Leadership

Career Highlights

Built scalable distributed systems and real-time streaming pipelines.
Developed data ingestion pipelines improving data retrieval speed.
Created LLM-powered automation tools for incident management.

Work Experience

Confluent

Software Engineer (1 yr 4 mos)

Tekion Corp

Associate Software Engineer (1 yr 6 mos)

Associate Software Engineer Intern (6 mos)

ACM, Association for Computing Machinery

Technical Head (1 yr 5 mos)

Council Member (9 mos)

The LNMIIT Alumni Association

Member (1 yr 10 mos)

LNMIIT Counselling & Guidance Cell

Student Mentor (11 mos)

Phoenix Club, LNMIIT

Member (1 yr 1 mo)

Education

Bachelor of Technology - BTech at The LNM Institute of Information Technology

High School Diploma at Delhi Public School, Udaipur

Ansh Jain

Software Engineer

India6 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Built scalable distributed systems and real-time streaming pipelines.
Developed data ingestion pipelines improving data retrieval speed.
Created LLM-powered automation tools for incident management.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS with expertise in distributed systems and data engineering.

Contact

Skills

Core Skills

MicroservicesDistributed SystemsData EngineeringLeadership

Other Skills

KubernetesJavaGolangSoftware DesignGo (Programming Language)Large Language Models (LLM)ElasticsearchElastic Stack (ELK)Spring BootUnit TestingProblem SolvingMongoDBApache Spark StreamingMySQLApache Spark

About

Experience

6 yrs 2 mos

Total Experience

1 yr 3 mos

Average Tenure

1 yr 4 mos

Current Experience

Confluent

Software Engineer

Jan 2025 – Present · 1 yr 4 mos

KubernetesJavaMicroservicesGolangSoftware DesignGo (Programming Language)+2

Tekion corp

2 roles

Associate Software Engineer

Jul 2023 – Jan 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Worked as a backend developer in the Analytics team, contributing to the development and optimization of data-driven solutions.
Developed the Sales Teams Performance Dashboard from scratch, enabling dealerships to track salesperson and sales manager performance based on various KPIs.
Added Contracts In Transit (CIT) Widgets, providing dealerships with insights into contracts not yet completed, tracking their open duration, and analyzing their current status.
Designed and implemented a data ingestion pipeline and resolved critical bugs in the existing ingestion flow, reducing sync alerts by 70%.
Introduced an alert mechanism to identify data count mismatches between source team databases and analytics Elasticsearch indices, improving data reliability.
Migrated and enhanced sales settings by adding support for applying boolean logic, enabling users to create complex filters and gain better sales insights.

JavaMicroservicesElasticsearchElastic Stack (ELK)Spring BootUnit Testing+3

Associate Software Engineer Intern

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

Designed and implemented the "Streaming Data Mart" project to process data from Kafka topics, applying filters to separate records and performing stream-stream joins based on custom join conditions, optimizing real-time data transformation workflows.
Handled delayed record reception and implemented memory management techniques to control record retention time, improving processing efficiency.
Appended raw data into S3 as Raw Events, processed data as Fact Events, and upserted into Delta Lake as Facts/Dimensions, ensuring data consistency and integrity across the data pipeline.
Added support to perform transformations on streams of data before writing them as facts, enhancing data processing flexibility.
Implemneted "Centralized Schema Registry" project to automate schema creation and updates across diverse databases like MongoDB, MySQL, and DynamoDB, providing a unified view of 90% of datasets across Tekion.
Introduced schema versioning to track changes and seamlessly manage schema evolution, enabling efficient updates.

Apache Spark StreamingMySQLApache SparkPythonApache KafkaPostgreSQL+3