Pranav Dixit

Senior Software Engineer

New Delhi, Delhi, India9 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected CI/CD platform adopted by 30+ teams
Achieved 99.999% compliance reliability at Amazon
Improved system stability by ~70% for Smart TV software

Stackforce AI infers this person is a SaaS and E-commerce expert with strong backend and infrastructure capabilities.

Contact

pranavdixit@adobe.com LinkedIn

Skills

Core Skills

KubernetesCi/cdObservabilityAwsJavaC/c++PythonDjango

Other Skills

AWS LambdaAlgorithmsAmazon SQSAmazon Web Services (AWS)C ProgrammingCloudWatchComputational LinguisticsCore JavaData MiningData StructuresDockerElasticsearchFlaskGenetic AlgorithmsGo (Programming Language)

About

Tech Lead / Senior Software Engineer with 9 years of experience building and scaling distributed systems. Experienced in leading teams of 2-4 engineers and driving the design, implementation, and delivery of mission-critical infrastructure and developer platforms adopted across multiple teams. Skilled in System Design, Algorithms, AWS, Kubernetes, Terraform, Java, Go, Python and C/C++ with strong expertise in CI/CD, containerization, and developer infrastructure, service oriented architecture.

Experience

9 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 yrs 8 mos

Current Experience

Adobe

Computer Scientist

Oct 2021 – Present · 4 yrs 8 mos · Noida, Uttar Pradesh, India

Architected and implemented core modules of a GitOps based CI/CD platform, including pipeline orchestration and AWS build scaling; enabled adoption by 30+ global engineering teams.
Architected migration of long-running builds to AWS CodeBuild with S3-backed logging, scaling the CI/CD platform to support 4× more parallel builds. This reduced developer wait times by ~40% and improved overall engineering throughput across the organization.
Designed modular pipelines (verification, security scanning, deployment, notifications) with Golang , improving developer productivity.
Extended CI/CD pipeline to support multi-architecture container images (AMD, ARM), cutting redundant builds by ~35% and reducing image storage costs by ~25%. Enabled seamless Kubernetes deployments across heterogeneous clusters, improving developer productivity and lowering infra costs through ARM adoption.
Designed and deployed observability stack (Elasticsearch, Kibana, CloudWatch) leading to ~80% fewer on-call incidents.
Migrated legacy flows into Kubernetes-native infra, reducing rollback incidents by 60% and manual ops by 40%.

KubernetesDockerShell ScriptingHelmGo (Programming Language)CI/CD

Amazon

Software Development Engineer II

Oct 2018 – Dec 2020 · 2 yrs 2 mos · Hyderabad, Telangana, India

Created an event-driven invoicing service to track container scan events and generate trailer invoices in real-time, achieving >90%+ accuracy and eliminating costly reconciliation errors
Built container weight propagation pipelines leading to ensured sub-second consistency for Amazon Air aircraft loading systems
Re-architected logistics backend to enable reverse logistics + return-to-origin flows, integrating with payment systems for real-time refunds
Debugged system-level performance bottlenecks (compute latency, messaging throughput, I/O overhead) resulting in 99.999% compliance reliability
Owned peak-readiness program for Amazon Middle-Mile services, aligning with business forecasts to model demand and scale infrastructure. Conducted large-scale load tests, validated service capacity, and extended AWS resources to ensure resiliency under ~4× traffic spikes during festive periods, enabling uninterrupted operations across millions of daily transactions.

Core JavaAmazon Web Services (AWS)ScalabilityAmazon SQSAWS LambdaAWS+1

Samsung electronics

Software Engineer

Jan 2016 – Jul 2018 · 2 yrs 6 mos · Delhi Area, India

Built a desktop diagnostic application to detect memory leaks in C/C++ applications of Smart TV software, improving overall system stability by ~70%
Developed automated leak-detection workflows, reducing debugging effort by ~40% and accelerating release cycles.
Debugged and optimized C/C++ applications for Samsung Smart TV platform, resolving memory leaks and performance bottlenecks; reduced memory-related defects by ~25% and improved system stability across releases.

C/C++

Greyorange

Engineer

May 2015 – Dec 2015 · 7 mos · Gurugram, Haryana, India · On-site

Developed APIs for robot-operator interfaces on Butler robots, enabling large-scale automated warehouse inventory management.
Built backend services in Python/Django + PostgreSQL for real-time task assignment and inventory control.
Supported scaling of robotic warehouse systems, reducing manual intervention and improving efficiency.

PythonDjangoPostgreSQL

Indian institute of management, lucknow

Research Intern

May 2014 – Jul 2014 · 2 mos · Lucknow Area, India

Worked on privacy preserving data mining solutions . I have used R software and python to implement various machine learning algorithms like c means , dbscan , naive bayes , decision tree learning , k nearest neighbor.

Iiit hyderabad

Research Intern

May 2013 – Jul 2013 · 2 mos · Hyderabad Area, India

Worked on Natural Language Processing and its application to real systems at Language Technology Research Center . The project was titled "Contextual animacy detection utilizing parsing" . I have used supervised and unsupervised machine learning tools and algorithms like K means , DBSCAN , SVM . Also got the opportunity to get to use and know about maltparser, python and its libraries like nltk , numpy , scipy etc.