Mahima Jain

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Key Highlights

Reduced production issues by 50% through proactive monitoring.
Developed mock server setups for efficient testing.
Optimized infrastructure costs by 20% with server migration.

Stackforce AI infers this person is a Backend-heavy Fullstack developer in the SaaS industry.

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Skills

Core Skills

MicroservicesJavaMonitoringTestingInfrastructure Cost Optimisation

Other Skills

Agile MethodologiesAlgorithmsApplication MonitoringApplication Performance ManagementBack-End Web DevelopmentBitbucketC++Cloud DevelopmentCloud StorageCode Path OptimisationCommunicationConfluenceCross-functional CommunicationData StructuresDatabase Design

About

Results-Driven Java Backend Developer | 3 Years of Expertise in Spring Boot Framework | Proficient in Kafka, Elastic Search, SQL, Microservices, Redis, REST API | Proven Track Record in Delivering Innovative Features | Adept at Maintaining High-Performance, Scalable Java Services | Strong Debugging Skills for Seamless Feature Development | Committed to Continuous Learning for Innovative Solutions | Have been leading backend development, fostering cross-functional communication, driving impactful solutions to enhance user experiences and adept at tackling difficult problems with superior interpersonal skills.

Experience

4 yrs 9 mos

Total Experience

2 yrs 10 mos

Average Tenure

1 yr 11 mos

Current Experience

Netapp

Software Engineer 3

May 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India

Paytm

Software Engineer

Jul 2021 – May 2024 · 2 yrs 10 mos · Noida, Uttar Pradesh, India

Reduced production issues by 50% through proactive monitoring using Prometheus,
Grafana, Kibana dashboards and Sentry.
Developed and maintained mock server setups using tools like SoapUI and Postman,
testing and simulating external service interactions; nearly 70% of all new features
are being tested using this.
Set up non-prod deployment pipelines and migrated the same application servers to
Graviton instances, resulting in significant infrastructure costs by 20%.
Worked with distributed systems building blocks (Kafka, Redis, Elastic Search)
leading to an improvement of data processing speed.