Mihir Kumar Singh

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 10 mos experience

Highly Stable

Key Highlights

6+ years of backend engineering experience.
Led teams and mentored junior engineers.
Expertise in distributed systems and microservices.

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

Contact

singhmihirkumar@gmail.com LinkedIn

Skills

Core Skills

MicroservicesCloud ApplicationsGrpcPythonDistributed Systems

Other Skills

distributed microservicesarchitecture decisionsKYC automation platformgovernment APIszero-downtime migrationKYC automationKafka-as-a-ServiceKubernetes OperatorsElasticsearchKafkaKubernetesGitHub automation serviceAWS S3concurrent task processingGitHub

About

Backend-focused Senior Software Engineer with 6+ years designing and shipping distributed systems at scale. I've shipped backend platforms that delivered real business outcomes — at Uber and UnitedHealth Group across 6+ years. Right now I work as a Senior Backend Engineer at Grab in Bengaluru. My day-to-day: distributed microservices in Go, designing for reliability at scale, and making architecture decisions that actually hold up when traffic spikes. What I bring: → 6+ years of backend engineering — microservices, cloud infra, API design, system reliability → Hands-on with Go, gRPC, Kafka, Kubernetes, PostgreSQL, Redis, Terraform → Led teams and mentored engineers — 3+ juniors at UHG, measurable team velocity improvement → NIT Raipur CS graduate (CGPA 9.41) → Exploring the growing intersection of AI/ML and backend engineering Open to: Senior/Staff Backend roles

Experience

6 yrs 10 mos

Total Experience

3 yrs 5 mos

Average Tenure

0 mo

Current Experience

Grab

Senior Software Engineer

Jun 2026 – Present · 0 mo

distributed microservicesarchitecture decisionsMicroservicesCloud Applications

Epam systems

Senior Software Engineer

Nov 2024 – Jun 2026 · 1 yr 7 mos · Greater Bengaluru Area · On-site

Working as a Senior Software Engineer at Uber via EPAM Systems.
Worked on KYC automation platform — integrated government APIs across multiple countries to verify driver documents in real time, cutting onboarding time significantly
Leading zero-downtime migration of 100+ downstream microservices (Payments, Trips, Subscriptions) from legacy Populous to the new Customer-Gateway gRPC interface using client library rollout and feature flags — 0% downtime achieved

KYC automation platformgovernment APIszero-downtime migrationgRPCMicroservices

Optum

3 roles

Senior Software Engineer

Promoted

Aug 2022 – Oct 2024 · 2 yrs 2 mos

Led the design and delivery of a Kafka-as-a-Service platform for cloud infrastructure at scale.
Led a 4+ engineer team to build a Kafka-as-a-Service platform using Kubernetes Operators, achieving 99.5% SLA reliability
Automated Kafka resource provisioning for 2,000+ tenants, cutting onboarding time from days to under 30 minutes — driving $2.5M in annual cost savings
Integrated Elasticsearch for metadata search across thousands of Kafka resources, reducing resource creation time by orders of magnitude
Mentored 3+ junior engineers through structured code reviews, design discussions, and technical guidance — measurably improving team velocity and code quality

Kafka-as-a-ServiceKubernetes OperatorsElasticsearchMicroservicesCloud Applications

Software Engineer

Promoted

Mar 2021 – Aug 2022 · 1 yr 5 mos

Built a Python-based GitHub automation service backed by AWS S3, reducing PR analysis time by 50% across hundreds of repositories
Designed a concurrent task processing pipeline handling thousands of simultaneous operations with zero data integrity incidents
Provided 24x7 on-call production support — implemented runbooks and observability improvements that significantly reduced mean time to resolution (MTTR)

GitHub automation serviceAWS S3concurrent task processingCloud ApplicationsPython

Associate Software Engineer

Jul 2019 – Mar 2021 · 1 yr 8 mos

Deployed and managed Kafka infrastructure supporting 2+ petabytes of data across on-premise and GCP data centers with 99.9% uptime
Automated infrastructure provisioning using Terraform, Docker, Kubernetes, and GitHub Actions — accelerating release cycles and reducing manual overhead
Implemented end-to-end observability stack with Prometheus and Grafana, enabling proactive monitoring, alerting, and faster incident response

Kafka infrastructureTerraformDockerDistributed SystemsCloud Applications