Utkarsh Babbar profile photo 1 on Tal

Utkarsh Babbar

MTS @Salesforce | DevOps | Infra as Code | Kubernetes | Python | Platform Engineering | Release Engineering

Hyderabad

5+ years of work experience

Salesforce
Dec 20241 yr 9 mosPresent

• Designed asynchronous, high-throughput cloud telemetries in Golang and Python, optimizing back-end processing pipelines to scale reliably across production environments. • Acted as primary system owner for scalable Splunk, Grafana, and Prometheus log pipelines, ingestion routing, and alerting rule topologies across enterprise clusters. • Engineered real-time telemetry dashboards based on strict SLAs, SLOs, and SLIs, reducing production mean time to detection (MTTD) by 30% for core infrastructure failures. • Orchestrated high-volume clustered nodes using Docker and AWS EKS (Kubernetes), developing clean Helm charts and custom ingress components to support massive transaction footprints. • Evaluated data pipeline analytics to enforce cloud capacity guardrails, reducing runtime rollbacks by 10% and optimizing infrastructure cost efficiency. • Led technical incident response rotations for high-severity issues (Sev 1/2), establishing actionable root cause analysis (RCA) records and automated runbooks to minimize MTTR by 20%.
Amadeus Labs
Jul 20222 yrs 5 mosNov 2024

Bengaluru, Karnataka, India

🚀 Accelerated cloud deployment time using Terraform and Terragrunt IaC solutions. 📜 Developed Ansible playbooks with Molecule tests for efficient infrastructure orchestration. 🔄 Migrated over 10 applications to Kubernetes, optimizing host system usage and boosting team productivity with Helm charts. 🐍 Created Python automation scripts, streamlining operational processes. ✅ Ensured infrastructure code reliability by implementing Terraform unit tests in Golang with Terratest.
Amadeus Labs
Jan 20227 mosJul 2022

Karnataka, India

🛠️ Crafted scalable Terraform deployments using Terragrunt and Ansible. ⚙️ Managed Jenkins workflows with Groovy and automated 20+ routine tasks with Python, reducing manual intervention and achieving high deployment accuracy. 📊 Implemented monitoring and alerting solutions with Prometheus and Grafana, improving system visibility and reducing incident response times.
Samsung Electronics
Jun 20216 mosNov 2021

India

🔍 Explored and analyzed RNN algorithms, including LSTM and GRU, for image captioning on the Flickr dataset. 🧹 Executed data cleansing using TensorFlow and scikit-learn to ensure dataset quality. 🤖 Engineered an ensemble of RNN models with Transformers, LSTM, GRU, and BiLSTM, achieving a CIDEr score of 0.88 for enhanced image captioning.
Chegg Inc.
Oct 20201 yr 2 mosNov 2021

India

Utkarsh’s AI Stack

antigravity
antigravity
opencode
opencode
claudecode
claudecode

Education

Thapar Institute of Engineering & Technology

B.Tech, Electronics And Computer Science Engineering

Thapar Institute of Engineering & Technology

20184 yrs2022

Doon Presidency School, Dehradun

Join Utkarsh and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Utkarsh Babbar on Tal

Headline

MTS @Salesforce | DevOps | Infra as Code | Kubernetes | Python | Platform Engineering | Release Engineering

About

I am a DevOps and Platform Engineer focused on automating infrastructure, scaling distributed systems, and building robust developer tooling across multi-cloud environments. 🔹 What I Do: Infrastructure as Code (IaC): Architect and provision scalable, multi-region cloud environments using Terraform, Ansible, and Kubernetes. Platform Automation: Build high-throughput CI/CD pipelines and self-service internal developer platforms to accelerate engineering velocity. Backend Tooling: Develop resilient automation scripts and backend systems primarily in GoLang and Python. AI Integration: Leverage AI native tools, LLMs, and MCP RAG architectures to build intelligent developer workflows and optimize infrastructure operations. 🔹 Core Tech Stack: Cloud & Containers: AWS (EKS, EC2, Lambda), Azure, GCP, Kubernetes, Docker, Helm. DevOps & Automation: Terraform, Ansible, CI/CD, Molecule, Groovy. Languages & Frameworks: GoLang, Python, C++, Java, Bash, Django. AI & Observability: LLMs, MCP RAG, AI Native Tools, Prometheus, Grafana, Splunk, OpenTelemetry. I thrive on eliminating operational toil and engineering scalable platforms that drive business success. Let’s connect! 📫 Reach out at: babbarutkarsh66@gmail.com

Location

Hyderabad

AI stack

antigravity

opencode

claudecode

Work experience

Member of Technical Staff (SDE2) at Salesforce, Dec 2024 - Present · 1 yr 9 mos, • Designed asynchronous, high-throughput cloud telemetries in Golang and Python, optimizing back-end processing pipelines to scale reliably across production environments. • Acted as primary system owner for scalable Splunk, Grafana, and Prometheus log pipelines, ingestion routing, and alerting rule topologies across enterprise clusters. • Engineered real-time telemetry dashboards based on strict SLAs, SLOs, and SLIs, reducing production mean time to detection (MTTD) by 30% for core infrastructure failures. • Orchestrated high-volume clustered nodes using Docker and AWS EKS (Kubernetes), developing clean Helm charts and custom ingress components to support massive transaction footprints. • Evaluated data pipeline analytics to enforce cloud capacity guardrails, reducing runtime rollbacks by 10% and optimizing infrastructure cost efficiency. • Led technical incident response rotations for high-severity issues (Sev 1/2), establishing actionable root cause analysis (RCA) records and automated runbooks to minimize MTTR by 20%.

Software Engineer 1 (Cloud Engineering) at Amadeus Labs, Jul 2022 - Nov 2024 · 2 yrs 5 mos, Bengaluru, Karnataka, India, 🚀 Accelerated cloud deployment time using Terraform and Terragrunt IaC solutions. 📜 Developed Ansible playbooks with Molecule tests for efficient infrastructure orchestration. 🔄 Migrated over 10 applications to Kubernetes, optimizing host system usage and boosting team productivity with Helm charts. 🐍 Created Python automation scripts, streamlining operational processes. ✅ Ensured infrastructure code reliability by implementing Terraform unit tests in Golang with Terratest.

SDE Intern at Amadeus Labs, Jan 2022 - Jul 2022 · 7 mos, Karnataka, India, 🛠️ Crafted scalable Terraform deployments using Terragrunt and Ansible. ⚙️ Managed Jenkins workflows with Groovy and automated 20+ routine tasks with Python, reducing manual intervention and achieving high deployment accuracy. 📊 Implemented monitoring and alerting solutions with Prometheus and Grafana, improving system visibility and reducing incident response times.

Machine Learning Intern at Samsung Electronics, Jun 2021 - Nov 2021 · 6 mos, India, 🔍 Explored and analyzed RNN algorithms, including LSTM and GRU, for image captioning on the Flickr dataset. 🧹 Executed data cleansing using TensorFlow and scikit-learn to ensure dataset quality. 🤖 Engineered an ensemble of RNN models with Transformers, LSTM, GRU, and BiLSTM, achieving a CIDEr score of 0.88 for enhanced image captioning.

Subject Matter Expert(CSE) At Chegg.inc at Chegg Inc., Oct 2020 - Nov 2021 · 1 yr 2 mos, India

Education

B.Tech, Electronics And Computer Science Engineering, Thapar Institute of Engineering & Technology

Doon Presidency School, Dehradun