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Developer III - DevOps Engineering
Job Description:DevOps Engineer Understanding of Kubernetes fundamentals and experience building/operating Kubernetes; Experience in cloud platforms (AWS, Azure or GCP); Hands-on experience with cloud infrastructure provisioning at scale using tools like Terraform, Pulumi, Crossplane, CloudFormation, etc.; Experience developing and maintaining control planes;Proficiency in Python or Golang;…
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Golang developer,
Golang developer,
In the evolving world of software development, Go (or Golang) has emerged as a powerful programming language known for its simplicity, efficiency, and scalability. Developed by Google, Golang is designed to make developers’ lives easier by offering a clean syntax, robust standard libraries, and excellent concurrency support. Whether you're starting as a new developer or transitioning from another language, this guide will help you navigate the journey of becoming a proficient Golang developer.
Why Choose Golang?
Golang’s popularity has grown exponentially, and for good reasons:
Simplicity: Go's syntax is straightforward, making it accessible for beginners and efficient for experienced developers.
Concurrency Support: With goroutines and channels, Go simplifies writing concurrent programs, making it ideal for systems requiring parallel processing.
Performance: Go is compiled to machine code, which means it executes programs efficiently without requiring a virtual machine.
Scalability: The language’s design promotes building scalable and maintainable systems.
Community and Ecosystem: With a thriving developer community, extensive documentation, and numerous open-source libraries, Go offers robust support for its users.
Key Skills for a Golang Developer
To excel as a Golang developer, consider mastering the following:
1. Understanding Go Basics
Variables and constants
Functions and methods
Control structures (if, for, switch)
Arrays, slices, and maps
2. Deep Dive into Concurrency
Working with goroutines for lightweight threading
Understanding channels for communication
Managing synchronization with sync package
3. Mastering Go’s Standard Library
net/http for building web servers
database/sql for database interactions
os and io for system-level operations
4. Writing Clean and Idiomatic Code
Using Go’s formatting tools like gofmt
Following Go idioms and conventions
Writing efficient error handling code
5. Version Control and Collaboration
Proficiency with Git
Knowledge of tools like GitHub, GitLab, or Bitbucket
6. Testing and Debugging
Writing unit tests using Go’s testing package
Utilizing debuggers like dlv (Delve)
7. Familiarity with Cloud and DevOps
Deploying applications using Docker and Kubernetes
Working with cloud platforms like AWS, GCP, or Azure
Monitoring and logging tools like Prometheus and Grafana
8. Knowledge of Frameworks and Tools
Popular web frameworks like Gin or Echo
ORM tools like GORM
API development with gRPC or REST
Building a Portfolio as a Golang Developer
To showcase your skills and stand out in the job market, work on real-world projects. Here are some ideas:
Web Applications: Build scalable web applications using frameworks like Gin or Fiber.
Microservices: Develop microservices architecture to demonstrate your understanding of distributed systems.
Command-Line Tools: Create tools or utilities to simplify repetitive tasks.
Open Source Contributions: Contribute to Golang open-source projects on platforms like GitHub.
Career Opportunities
Golang developers are in high demand across various industries, including fintech, cloud computing, and IoT. Popular roles include:
Backend Developer
Cloud Engineer
DevOps Engineer
Full Stack Developer
Conclusion
Becoming a proficient Golang developer requires dedication, continuous learning, and practical experience. By mastering the language’s features, leveraging its ecosystem, and building real-world projects, you can establish a successful career in this growing field. Start today and join the vibrant Go community to accelerate your journey.
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Unbridle the Power of Golang Cloud Development With its Awesomeness
In the ever-evolving landscape of cloud development, choosing the right programming language is paramount. Golang cloud development was known for the same as Go is statically typed language that aims to be quick, easy, and efficient. We'll look at Golang's growing popularity in cloud development in this blog article and see how it can revolutionise the process of building scalable, reliable, and high-performing cloud apps.
Efficient and Simple
Go was developed at Google with an emphasis on effectiveness and simplicity. Because of its clear and simple syntax, developers may convey concepts succinctly. This ease of use speeds up development and simplifies code maintenance.
Go's efficiency shines in Golang cloud development fast-paced realm, where agility and rapid iteration are essential. Instead of wasting time on intricate syntax, hire Golang developers who focus more on creating features and fixing issues.
Scalability and Concurrency
Go's strong concurrency support is one of its most notable characteristics. Writing concurrent programs is made simple with goroutines, lightweight threads controlled by the Go runtime. This is especially helpful for Golang cloud development applications where managing several activities at once is essential.
Go's concurrency paradigm and integrated channel support let programmers design highly concurrent and scalable applications. Cloud apps, which frequently need to use resources efficiently, can take advantage of Go's ease of handling several concurrent tasks.
Performance With Packs a Punch
Go performs admirably in terms of performance. Because it is built, it produces fast-executing binaries, which makes it a great option for serverless architectures and cloud-based microservices.
Golang Cloud development apps perform very well under heavy workloads because of their garbage collection technique and runtime economy. This performance increase is a huge benefit in the cutthroat world of cloud development, where speed and responsiveness are essential.
Go's Standard Library and Ecosystem
The standard library of Go is an invaluable resource for developers engaged in cloud-based applications. It offers complete support for developing distributed and networked systems, encompassing JSON handling, cryptographic operations, and HTTP servers. This helps to streamline the development process by getting rid of the requirement for third-party dependencies.
Furthermore, the Go ecosystem is expanding quickly, boasting an abundance of open-source frameworks and tools that streamline routine cloud development activities. Go's ecosystem provides support for handling authentication, connecting with cloud APIs, and maintaining databases.
Docker and Kubernetes Integration
Go plays a pivotal role in the containerization revolution, as both Docker and Kubernetes are written in Go. Golang is an obvious choice for developers working in containerized systems because of its tight interaction. Go and containerization technologies work together to provide smooth interoperability and best-in-class performance.
Cross-Platform Capabilities
Go's design includes a focus on cross-platform development, allowing developers to build applications that can run on various operating systems without modification. This is especially helpful for cloud development, as portability and flexibility are crucial.
The adaptability of cloud apps can be increased by developers by writing Go code on one platform and deploying it easily across several cloud environments. This cross-platform capability fits perfectly with the multi-cloud policies that many organisations have implemented, allowing them to select the best cloud services for their particular requirements and prevent vendor lock-in.
Conclusion:
Go is a powerful tool in the dynamic field of cloud development, where performance, scalability, and agility are critical factors. Its cross-platform features, ease of use, performance, broad standard library, compatibility with Docker and Kubernetes, and support for concurrency make it an appealing option for cloud developers.
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Full-stack engineer ( JavaScript/Python) - Remote(Ukraine)
Company: Sourceter This position offers the flexibility to work part-time (20-30 hours per week) up to full-time (40 hours per week). As a Full-stack Engineer, you will be involved in several short-term projects, which will be executed consecutively. You will play a crucial role in designing, developing, and maintaining both front-end and back-end components of web applications. This is an exciting opportunity to contribute to the entire software development lifecycle and work with cutting-edge technologies. Responsibilities: - Collaborate with project stakeholders and other team-members to analyze project requirements and provide effort estimations. - Develop and maintain responsive and user-friendly web applications with clean and efficient code. - Implement front-end components using HTML, CSS, and JavaScript, with expertise in frameworks like Angular. - Design and build back-end systems using either Python or Golang, ensuring scalability, security, and performance. - Utilize cloud services to deploy and manage web applications. - Perform code reviews, debugging, and troubleshooting to ensure high-quality deliverables. - Stay updated with the latest industry trends and technologies, recommending improvements to enhance development processes. Requirements: - At least 3 years of experience working as a Full-stack engineer - Strong proficiency in front-end development using HTML, CSS, and JavaScript. - Experience with Angular framework. - Solid understanding of either Python or Golang for back-end development. - Experience working with SQL and NoSQL databases for data storage and retrieval. - Experience working with cloud platforms like Amazon AWS, MS Azure or GCP for deployment and infrastructure management. - Knowledge of version control systems (e.g., Git) and agile development methodologies. - Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. - Strong communication skills to effectively interact with team members and stakeholders. - Nice to have: - Experience with Vue.JS or Next.JS for Front-end development. - Familiarity with PostgreSQL or other SQL databases. - Knowledge of Node.JS for back-end development. - Understanding of containerization technologies like Docker and container orchestration tools like Kubernetes. - Exposure to DevOps principles and continuous integration/continuous deployment (CI/CD) pipelines. What we Offer: - Competitive market salary - Flexible working hours - Team of professionals who knows how to build world-class products - Wide range of cool opportunities for professional and personal growth Interview stages: - HR interview - Technical interview - Management interview APPLY ON THE COMPANY WEBSITE To get free remote job alerts, please join our telegram channel “Global Job Alerts” or follow us on Twitter for latest job updates. Disclaimer: - This job opening is available on the respective company website as of 8thJuly 2023. The job openings may get expired by the time you check the post. - Candidates are requested to study and verify all the job details before applying and contact the respective company representative in case they have any queries. - The owner of this site has provided all the available information regarding the location of the job i.e. work from anywhere, work from home, fully remote, remote, etc. However, if you would like to have any clarification regarding the location of the job or have any further queries or doubts; please contact the respective company representative. Viewers are advised to do full requisite enquiries regarding job location before applying for each job. - Authentic companies never ask for payments for any job-related processes. Please carry out financial transactions (if any) at your own risk. - All the information and logos are taken from the respective company website. Read the full article
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Kubesploit Cross-platform post-exploitation HTTP/2 Command & Control server and agent...
Kubesploit Cross-platform post-exploitation HTTP/2 Command & Control server and agent dedicated for containerized environments written in Golang and built on top of Merlin project by Russel Van Tuyl (@Ne0nd0g). https://github.com/cyberark/kubesploit #pentesting #bugbounty #redteam #hackers #docker #kubernetes #scanning
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Kubesploit
GitHub - cyberark/kubesploit: Kubesploit
Kubesploit is a cross-platform post-exploitation HTTP/2 Command & Control server and agent written in Golang, focused on containerized environments. Details: While researching Docker and Kubernetes, we noticed that most of the tools available today are aimed at passive scanning for vulnerabilities in the cluster, and there is a lack of more complex attack vector coverage. They might allow you to see the problem but not exploit it. It is important to run the exploit to simulate a real-world attack that will be used to determine corporate resilience across the network.
When running an exploit, it will practice the organization's cyber event management, which doesn't happen when scanning for cluster issues. It can help the organization learn how to operate when real attacks happen, see if its other detection system works as expected and what changes should be made. We wanted to create an offensive tool that will meet these requirements.
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Kubernetes Cloud Controller Manager Tutorial for Beginners
Hi, a new #video on #kubernetes #cloud #controller #manager is published on #codeonedigest #youtube channel. Learn kubernetes #controllermanager #apiserver #kubectl #docker #proxyserver #programming #coding with #codeonedigest #kubernetescontrollermanag
Kubernetes is a popular open-source platform for container orchestration. Kubernetes follows client-server architecture and Kubernetes cluster consists of one master node with set of worker nodes. Cloud Controller Manager is part of Master node. Let’s understand the key components of master node. etcd is a configuration database stores configuration data for the worker nodes. API Server to…
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Contributing back to Ansible — flexible secrets with some Sops
This post is from Edoardo Tenani, DevOps Engineer at Arduino.
In this blog, we’re going to answer: How does one store sensitive data in source code (in this case, Ansible playbooks) securely and in a way that the secrets can be easily shared with the rest of the team?
Ansible is an open source community project sponsored by Red Hat, it’s the simplest way to automate IT. Ansible is the only automation language that can be used across entire IT teams from systems and network administrators to developers and managers.
At Arduino, we started using Ansible around the beginning of 2018 and since then, most of our infrastructure has been provisioned via Ansible playbooks: from the frontend servers hosting our websites and applications (such as Create Web Editor), to the MQTT broker at the heart of Arduino IoT Cloud.
As soon as we started adopting it, we faced one of the most common security problems in software: How does one store sensitive data in source code (in this case, Ansible playbooks) securely and in a way that the secrets can be easily shared with the rest of the team?
Ansible configuration system comes to the rescue here with its built-in mechanism for handling secrets called Ansible Vault, but unfortunately it had some shortcomings for our use case.
The main disadvantage is that Vault is tied to Ansible system itself: In order to use it, you have to install the whole Ansible stack. We preferred a more self-contained solution, possibly compiled in a single binary to ease portability (i.e. inside Docker containers).
The second blocker is the “single passphrase” Ansible Vault relies on: a shared password to decrypt the entire vault. This solution is very handy and simple to use for personal projects or when the team is small, but as we are constantly growing as a company we preferred to rely on a more robust and scalable encryption strategy. Having the ability to encrypt different secrets with different keys, while being able to revoke access to specific users or machines at any time was crucial to us.
The first solution we identified has been Hashicorp Vault, a backend service purposely created for storing secrets and sensitive data with advanced encryption policies and access management capabilities. In our case, as the team was still growing, the operational cost of maintaining our Vault cluster was considered too high (deploying a High Available service that acts as a single point of failure for your operations is something we want to handle properly and with due care).
Around that same time, while reading industry’s best practices and looking for something that could help us managing secrets in source code, we came across mozilla/sops, a simple command line tool that allows strings and files to be encrypted using a combination of AWS KMS keys, GCP KMS keys or GPG keys.
Sops seemed to have all the requirements we were looking for to replace Ansible Vault:
A single binary, thanks to the porting from Python to Golang that Mozilla recently did.
Able to encrypt and decrypt both entire files and single values.
Allow us to use identities coming from AWS KMS, identities that we already used for our web services and where our operations team had access credentials.
A fallback to GPG keys to mitigate the AWS lock-in, allowing us to decrypt our secrets even in the case of AWS KMS disruption.
The same low operational cost.
Sops’ adoption was a great success: The security team was happy and the implementation straightforward, with just one problem. When we tried to use Sops in Ansible configuration system, we immediately noticed what a pain it was to encrypt variables.
We tried to encrypt/decrypt single values using a helper script to properly pass them as extra variables to ansible-playbook. It almost worked, but developers and operations were not satisfied: It led to errors during development and deployments and overall felt clumsy and difficult.
Next we tried to encrypt/decrypt entire files. The helper script was still needed, but the overall complexity decreased. The main downside was that we needed to decrypt all the files prior to running ansible-playbook because Ansible system didn’t have any clue about what was going on: those were basically plain ansible var_files. It was an improvement, but still lacking the smooth developer experience we wanted.
As Ansible configuration system already supports encrypted vars and storing entire files in Ansible Vault, the obvious choice was to identify how to replicate the behaviour using Sops as the encryption/decryption engine.
Following an idea behind a feature request first opened upstream in the Ansible repository back in 2018 (Integration with Mozilla SOPS for encrypted vars), we developed a lookup plugin and a vars plugin that seamlessly integrate Ansible configuration system and Sops.
No more helper scripts needed
Just ensure Sops executable is installed, correct credentials are in place (ie. AWS credentials or GPG private key) and run ansible-playbook as you normally would.
We believe contributing to a tool we use and love is fundamental in following the Arduino philosophy of spreading the love for open source.
Our sops plugins are currently under review in the mozilla/sops GitHub repository: Add sops lookup plugin and Add sops vars plugin.
You can test it out right away by downloading the plugin files from the PRs and adding them in your local Ansible controller installation. You will then be able to use both plugins from your playbooks. Documentation is available, as for all Ansible plugins, in the code itself at the beginning of the file; search for DOCUMENTATION if you missed it.
If you can leave a comment or a GitHub reaction on the PR, that would be really helpful to expedite the review process.
What to do from now on?
If you’re a developer you can have a look at Sops’ issues list and contribute back to the project!
The Sops team is constantly adding new features (like a new command for publishing encrypted secrets in latest 3.4.0 release, or Azure Key Vault support) but surely there are interesting issues to tackle. For example, the Kubernetes Secret integration being discussed in issue 401 or the –verify command discussed in issue 437.
Made with <3 by the Arduino operations team!
Ansible® is a registered trademark of Red Hat, Inc. in the United States and other countries.
Contributing back to Ansible — flexible secrets with some Sops was originally published on PlanetArduino
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Sr. Software Engineer – SecOps (Remote)
At CrowdStrike we’re on a mission – to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. We’ve earned numerous honors and top rankings for our technology, organization and people – clearly confirming our industry leadership and our special culture driving it. We also offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. So if you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to stop breaches and protect people globally, let’s talk.
About the role:
Cloud Security Posture Management (CSPM) is a new and complementary product area for CrowdStrike. We’re extending CrowdStrike’s mission of “stopping breaches” into the public cloud control plane and native cloud resources. CrowdStrike’s CSPM offering will give customers visibility into both the (mis)configuration and compliance of native cloud resources, and potential adversary activity involving those resources. When coupled with Falcon, CrowdStrike’s endpoint security offering, our CSPM offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure.
This role is open to candidates in USA (Remote) and Bucharest, Romania.
You will…
Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale.
Brainstorm, define, and build collaboratively with members across multiple teams.
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team.
Be mentored and mentor other developers on web, backend and data storage technologies and our system.
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables.
Use and give back to the open source community.
You’ll use…
· Go (Golang)
· AWS/GCP/Azure/Kubernetes
· Kafka
· GIT
· Cassandra
· ElasticSearch
· Redis
· ZMQ
Key Qualifications:
You have…
Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
The desire to ship code and the love of seeing your bits run in production.
Deep understanding of distributed systems and scalability challenges.
Deep understand multi-threading, concurrency, and parallel processing technologies.
Team player skills – we embrace collaborating as a team as much as possible.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
Bonus points awarded for…
· Authored and lead successful open source libraries and projects.
· Contributions to the open source community (GitHub, Stack Overflow, blogging).
· Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch…
· Prior experience in the cybersecurity or intelligence fields
Bring your experience in distributed technologies and algorithms, your great API and systems design sensibilities, and your passion for writing code that performs at extreme scale. You will help build a platform that scales to millions of events per second and Terabytes of data per day. If you want a job that makes a difference in the world and operates at high scale, you’ve come to the right place.
#LI-TJ1
Benefits of Working at CrowdStrike:
Market leader in compensation and equity awards
Competitive vacation policy
Comprehensive health benefits + 401k plan
Paid parental leave, including adoption
Flexible work environment
Wellness programs
Stocked fridges, coffee, soda, and lots of treats
We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives and ways of solving problems so we strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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Senior Python - Big Data
Job Details: Job Title Technology Lead | Analytics - Packages | Python - Big Data Work Location Hillsboro, OR - 97124 Must Have Skills (Top 3 technical skills only) 1. Python 2. Apache NiFi 3. Kafka Detailed Job Description: The Senior Platform Engineer will work as part of an Agile scrum team that will analyze, plan, design, develop, test, debug, optimize, improve, document, and deploying complex, scalable, highly available & distributed software platforms. A successful candidate will have a deep understanding of data flow design patterns, cloud environments, infrastructure-as-code, container-based techniques, and managing large-scale deployments. Qualifications ? 5+ years? experience in developing systems software using common languages like Java, JavaScript, Golang or Python. ? Experience in developing dataflow orchestration pipelines, streaming enrichment, metadata management, data transformation using Apache NiFi. Added experience with Kafka or Airflow may help. ? 5+ years in building Microservices /API based large-scale, full-stack production systems. ? Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. ? 4+ of Experience with multi-cloud (AWS, Azure) and/or multi-region active-active environments with background in deploying and managing Kubernetes at scale. ? DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc.). ? Experience with various data stores (SQL, No SQL, caches, etc.). Oracle, MySQL or PostgreSQL ? Experience with observability and with tools like Elasticsearch, Prometheus, Grafana, or any other open-source. ? Strong Knowledge of distributed data processing & orchestration frameworks and distributed architectures like Lambda & Kappa. ? Excellent understanding of Agile and SDLC processes spanning requirements, defect tracking, source control, build automation, test automation and release management. ? Ability to collaborate and partner with high-performing diverse teams and individuals throughout the firm to accomplish common goals by developing meaningful relationships. Minimum years of experience : 5+ Certifications Needed: No Top 3 responsibilities you would expect the Subcon to shoulder and execute : 1. 5 years in building Microservices API based largescale, fullstack production systems. 2. Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. Reference : Senior Python - Big Data jobs from Latest listings added - LinkHello http://linkhello.com/jobs/technology/senior-python-big-data_i9758
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Senior Python - Big Data
Job Details: Job Title Technology Lead | Analytics - Packages | Python - Big Data Work Location Hillsboro, OR - 97124 Must Have Skills (Top 3 technical skills only) 1. Python 2. Apache NiFi 3. Kafka Detailed Job Description: The Senior Platform Engineer will work as part of an Agile scrum team that will analyze, plan, design, develop, test, debug, optimize, improve, document, and deploying complex, scalable, highly available & distributed software platforms. A successful candidate will have a deep understanding of data flow design patterns, cloud environments, infrastructure-as-code, container-based techniques, and managing large-scale deployments. Qualifications ? 5+ years? experience in developing systems software using common languages like Java, JavaScript, Golang or Python. ? Experience in developing dataflow orchestration pipelines, streaming enrichment, metadata management, data transformation using Apache NiFi. Added experience with Kafka or Airflow may help. ? 5+ years in building Microservices /API based large-scale, full-stack production systems. ? Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. ? 4+ of Experience with multi-cloud (AWS, Azure) and/or multi-region active-active environments with background in deploying and managing Kubernetes at scale. ? DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc.). ? Experience with various data stores (SQL, No SQL, caches, etc.). Oracle, MySQL or PostgreSQL ? Experience with observability and with tools like Elasticsearch, Prometheus, Grafana, or any other open-source. ? Strong Knowledge of distributed data processing & orchestration frameworks and distributed architectures like Lambda & Kappa. ? Excellent understanding of Agile and SDLC processes spanning requirements, defect tracking, source control, build automation, test automation and release management. ? Ability to collaborate and partner with high-performing diverse teams and individuals throughout the firm to accomplish common goals by developing meaningful relationships. Minimum years of experience : 5+ Certifications Needed: No Top 3 responsibilities you would expect the Subcon to shoulder and execute : 1. 5 years in building Microservices API based largescale, fullstack production systems. 2. Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. Reference : Senior Python - Big Data jobs from Latest listings added - LinkHello http://linkhello.com/jobs/technology/senior-python-big-data_i9758
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Senior Python - Big Data
Job Details: Job Title Technology Lead | Analytics - Packages | Python - Big Data Work Location Hillsboro, OR - 97124 Must Have Skills (Top 3 technical skills only) 1. Python 2. Apache NiFi 3. Kafka Detailed Job Description: The Senior Platform Engineer will work as part of an Agile scrum team that will analyze, plan, design, develop, test, debug, optimize, improve, document, and deploying complex, scalable, highly available & distributed software platforms. A successful candidate will have a deep understanding of data flow design patterns, cloud environments, infrastructure-as-code, container-based techniques, and managing large-scale deployments. Qualifications ? 5+ years? experience in developing systems software using common languages like Java, JavaScript, Golang or Python. ? Experience in developing dataflow orchestration pipelines, streaming enrichment, metadata management, data transformation using Apache NiFi. Added experience with Kafka or Airflow may help. ? 5+ years in building Microservices /API based large-scale, full-stack production systems. ? Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. ? 4+ of Experience with multi-cloud (AWS, Azure) and/or multi-region active-active environments with background in deploying and managing Kubernetes at scale. ? DevOps experience with a good understanding of continuous delivery and deployment patterns and tools (Jenkins, Artifactory, Maven, etc.). ? Experience with various data stores (SQL, No SQL, caches, etc.). Oracle, MySQL or PostgreSQL ? Experience with observability and with tools like Elasticsearch, Prometheus, Grafana, or any other open-source. ? Strong Knowledge of distributed data processing & orchestration frameworks and distributed architectures like Lambda & Kappa. ? Excellent understanding of Agile and SDLC processes spanning requirements, defect tracking, source control, build automation, test automation and release management. ? Ability to collaborate and partner with high-performing diverse teams and individuals throughout the firm to accomplish common goals by developing meaningful relationships. Minimum years of experience : 5+ Certifications Needed: No Top 3 responsibilities you would expect the Subcon to shoulder and execute : 1. 5 years in building Microservices API based largescale, fullstack production systems. 2. Deep industry experience in cloud engineering problems around clustering, service design, scalability, resiliency, distributed backend systems etc. Reference : Senior Python - Big Data jobs from Latest listings added - cvwing http://cvwing.com/jobs/technology/senior-python-big-data_i12680
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Kubesploit Cross-platform post-exploitation HTTP/2 Command & Control server and agent written...
Kubesploit Cross-platform post-exploitation HTTP/2 Command & Control server and agent written in Golang, focused on containerized environments. The currently available modules are: 1. Container breakout using mounting 2. Container breakout using docker.sock 3. Container breakout using CVE-2019-5736 exploit 4. Scan for Kubernetes cluster known CVEs 5. Port scanning with focus on #Kubernetes services 6. Kubernetes service scan from within the container https://github.com/cyberark/kubesploit
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GitHub - cyberark/kubesploit: Kubesploit is a cross-platform post-exploitation HTTP/2 Command & Control server and agent written… - GitHub Kubesploit is a cross-platform post-exploitation HTTP/2 Command & Control server and agent written in Golang, focused on containerized environments. - GitHub - cyberark/kubesploit: Kubesplo...
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Pachyderm (YC W15) -- San Francisco or remote (within North America) -- https://jobs.lever.co/pachyderm/
Positions:
* Core distributed systems/infrastructure engineer (Golang)- You’ll be solving hard algorithmic and distributed systems problems every day and building a first-of-its-kind, containerized, data infrastructure platform.
* Front-end Engineer (Javascript) - Your work will be focused on developing the UI, perfecting the user experience, and pioneering new products such as a hosted version of Pachyderm's data solution.
* DevOps -- Pachyderm is hiring a deployment and devops expert to own and lead our infrastructure, deployment, and testing processes. Experience with Kubernetes, CI/CD systems, testing infra, and running large-scale, data-heavy applications is important.
* Solutions Engineer/Architect -- Work with Pachyderm’s OSS and Enterprise customers to ensure their success. This is a customer facing role that bridges support, product, customer success, and engineering. About Pachyderm:
Love Docker, Golang, Kubernetes and distributed systems? Pachyderm is an enterprise data science platform that offers Git-like version control semantics for massive data sets and end-to-end data lineage tracking and auditing. Teams that find themselves struggling to maintain a growing mess of advance data science tasks such as machine learning or bioinformatics/genomics research use Pachyderm to greatly simplify their system and reduce development time. They rely on Pachyderm to do the heavy lifting so they can focus on the business logic in their data pipelines.
Pachyderm raised our Series A led by Benchmark (https://pachyderm.io/2018/11/15/Series-A.html), so you'd be getting in right at the ground floor and have an enormous impact on the success and direction of the company as well as building the rest of the engineering team.
Check us out at:
pachyderm.com
http://github.com/pachyderm/pachyderm
Comments URL: https://news.ycombinator.com/item?id=21152325
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Youtube Short - Kubernetes Cluster Master Worker Node Architecture Tutorial for Beginners | Kubernetes ETCD Explained
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Kubernetes is a popular open-source platform for container orchestration. Kubernetes follows client-server architecture and Kubernetes cluster consists of one master node with set of worker nodes. Let’s understand the key components of master node. etcd is a configuration database stores configuration data for the worker nodes. API Server to perform operation on cluster using api…
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