Rajat Mehra

Software Engineer

Jhajjar, Haryana, India2 yrs 9 mos experience

Key Highlights

Expert in optimizing cloud-native systems.
Proven track record in enhancing query performance.
Skilled in automating complex workflows.

Stackforce AI infers this person is a SaaS and Fintech expert with a focus on cloud-native systems and data infrastructure.

Contact

Skills

Core Skills

Distributed SystemsCloud-native SystemsData InfrastructureAutomationObservability

Other Skills

StarRocksData LakesSparkAmazon Web Services (AWS)Google Cloud Platform (GCP)TrinoDockerKubernetesKafkaeBPFGitHub ActionsPython (Programming Language)REST APIsAWSGCP

About

Problem-solving has been my constant motivation since college. That “all test cases passed” moment never gets old. Over the last few years, I’ve worked on distributed data platforms and cloud-native systems, mainly focusing on improving performance, reliability, and developer workflows. Some of my recent work includes optimizing GraphQL alert routing, setting up Kubernetes-based job pipelines, and migrating analytical workloads from Trino to StarRocks to improve query performance. I like solving practical problems around scalability, cost optimization, and observability, making sure the systems behind the scenes stay healthy and efficient. I’ve also worked on automating eBPF certification workflows for major Banking Institutions, saving cloud costs, and making on-call operations smoother for teams. Tech I work with: Java, Python, C++, Kubernetes, Docker, GraphQL, gRPC, StarRocks, Trino, MongoDB, Prometheus, Grafana, AWS, GCP.

Experience

2 yrs 9 mos

Total Experience

1 yr 6 mos

Average Tenure

1 yr 2 mos

Current Experience

Harness

Software Engineer

Mar 2025 – Present · 1 yr 2 mos · Hybrid

Learning lots of good stuff around Distributed Systems, starrocks, Datalakes, spark

Distributed SystemsStarRocksData LakesSparkCloud-native Systems

Traceable

2 roles

Software Engineer

Aug 2023 – Mar 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India

At Traceable, I worked on backend and data infrastructure projects focused on performance and reliability. I helped migrate analytical workloads from Trino to StarRocks to make queries faster and more efficient. I also automated the eBPF agent certification process for large-scale app environments, which reduced post-release issues significantly.
Apart from that, I built CI/CD pipelines with GitHub Actions, Docker, and Kubernetes to speed up release certification, and created tools for Kafka partitioning and cloud cleanup to optimize cost and resource usage. These projects gave me solid experience in working with distributed systems and automation.

Amazon Web Services (AWS)Google Cloud Platform (GCP)TrinoStarRocksDockerKubernetes+3

Software Engineer Intern

Dec 2022 – Jul 2023 · 7 mos · Bengaluru, Karnataka, India

I worked on automating the load testing process for multiple agents using Python and Confluence APIs. This included generating performance reports and visual comparisons across builds. I also added testing support for agents written in Python, Java, Node, and Go. During this time, I got hands-on experience with AWS, GCP, and observability tools like Prometheus and Grafana. Maintained a complete test suite for all the data collecting agents (language, edge, gateway, eBPF, suricata et.al) to ensure smooth and certified release process.

Python (Programming Language)REST APIsAWSGCPPrometheusGrafana+2