Ivan Topolcic

Software Engineer at Meta

Mountain View, California, United States
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Summary

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Ivan Topolcic is a software engineer with 13 years of experience, currently building systems at Meta after several years focused on serverless back-end engineering and cloud security at Datadog. He specializes in computer security, operating systems, distributed systems, and large-scale computing, and has practical experience hardening serverless environments and improving data ingestion workflows for high-throughput observability tools. Ivan has contributed to prominent Datadog projects—enhancing Lambda/Azure function forwarders, secret decryption in Lambda, and stabilizing agent daemons—while also keeping technical documentation in sync with production changes. Comfortable across backend, DevOps, and security domains, he blends deep systems knowledge with hands-on implementation and testing. Based in Mountain View, he brings both academic roots in OS and systems teaching and a track record of shipping robust cloud infrastructure.
code13 years of coding experience
job5 years of employment as a software developer
bookBachelor's Degree Honours Bachelor's of Science Computer Science, Bachelor's Degree Honours Bachelor's of Science Computer Science at University of Toronto
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Github Skills (33)

hugo10
python10
go10
laravel-blade10
aws10
serverless10
documentation10
observability9
apm9
apidoc9
laravel9
instrumentation9
distributed-tracing9
devops9
php9

Programming languages (9)

TypeScriptHCLJavaShellRustJavaScriptGoRuby

Github contributions (5)

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DataDog/datadog-agent

May 2022 - Nov 2022

Main repository for Datadog Agent
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:135 reviews, 70 commits, 86 PRs in 5 months
Contributions summary:Ivan primarily contributed to the back-end infrastructure of the Datadog Agent, focusing on serverless functions and AWS integrations. Their work involved implementing features related to secret decryption within the Lambda environment, loading proxy settings from environment variables, and adding support for Azure Container Apps. They also refactored and enhanced the trigger types, especially for API Gateway and Lambda Function URLs, which required changes to the core logic. Furthermore, they addressed a critical extension panic issue within the daemon, ensuring improved stability and robustness.
golangdatadog-agentagentobservabilitypmm
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
userBack-end Developer
Contributions:4 releases, 2 reviews, 5 commits in 1 month
Contributions summary:Ivan primarily focused on enhancing the data ingestion and forwarding capabilities of the serverless functions. They implemented support for new log sources, specifically AWS Step Functions and AWS Appsync logs, parsing and integrating the data within the existing system. The user also updated the forwarder version, which indicates involvement in maintaining and upgrading core functionality. Their work involved modifying existing Python code and testing configurations.
azure-functionsserverlessaws-lambdastreamsaws
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Ivan Topolcic - Software Engineer at Meta