A SIMPLE KEY FOR DEVOPS, KUBERNETES, CONTAINERISATION, DOCKER, GITLAB, AWS, AZURE, CI-CD, MONITORING, PROMETHEUS, GRAFANA, TERRAFORM, PYTHON, LINUX, GIT UNVEILED

A Simple Key For Devops, kubernetes, containerisation, docker, gitlab, AWS, azure, ci-cd, monitoring, Prometheus, grafana, terraform, python, Linux, git Unveiled

A Simple Key For Devops, kubernetes, containerisation, docker, gitlab, AWS, azure, ci-cd, monitoring, Prometheus, grafana, terraform, python, Linux, git Unveiled

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Generalist computer software engineer, greatest suited for early phase businesses. Only thinking about Climate tech possibilities today.

Senior comprehensive-stack dev (lean a lot more toward devops->backend than backend->frontend, but I am able to nevertheless sling some respond components together and lessen your JS payload measurement). currently I have been loving Stimulus Reflex and fidgeting with loads of micropython/ESP32/IoT things.

I have quite a few decades of programming practical experience and am wanting to discover new systems. In the event your team uses various systems than what on earth is on my listing I'd even now appreciate to hear from you.

I am at this time working on a column generation-based mostly day by day fantasy athletics (DFS) solver as a private job. getting as enter the predictions/specifications with the user, this solver can deliver optimum lineups for multi-entry tourneys.

js, C# .Internet and React as being a freelance developer. I don't shy clear of the DevOps and DBA portions of the challenge either. I also like to develop gorgeous UI's that buyers love.

respond, but I am open up to other stacks. access out if you discover that i'm a great in shape

I'm a again-conclude developer with ~one.5 decades of Specialist expertise. I'm trying to find a part inside a startup wherever There is certainly an individual to review my code and assist me improve. Would appreciate to work in an early stage startup and Develop things from scratch!.

- 2nd charts with numerous twists, which includes details transfers and rendering with various levels of detail

ML scientist/engineer open up to a wide range of initiatives. Most important aim has lately been in Laptop or computer vision, particularly in applied investigate and engineering real-time inference methods for on-prem deployments within the Health care business.

the corporation I am at is not really fully utilizing my skill established, I'm paid out in The underside 25th percentile for my encounter stage, and i am worried I'll begin to rot if I remain right here far too a lot longer.

I've six internships of knowledge ranging from advancement stage firms to Amazon, typically carrying out backend advancement but in addition some here infra and details operate.

One of the precise projects I am happy with is Once i was staff lead about a device Understanding job for Google, in which the fifteen team associates I oversaw supplied human judgment encouraging teach ML.

Not a recruiter but a existing CS undergrad along with your ability places seriously resonated with me - GPU programming, HPC and scientific programming, and Audio/DSP are all things I wanna examine. Do you have any tips on exactly where I should aim my endeavours to get better in these places?

I provide 6+ a long time of practical experience inside the computer software growth & administration area. I am typically successful and choose to function in startups with tiny and quickly-moving teams with very intelligent people today to know from!

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