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such as Senior Data Analytics Engineer, Data Engineer Attribution and Senior DevOps Engineer

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Security Scorecard - We are revolutionizing the cybersecurity industry

 

Senior Devops Engineer

Senior Devops Engineer  


Security Scorecard - We are revolutionizing the cybersecurity industry


devops

senior

engineer

infosec

devops

senior

engineer

infosec

2mo
\nOpportunity\n\nSecurityScorecard is hiring a DevOps Engineer to bridge the gap between our global development and operational teams who is motivated to help continue automating and scaling our infrastructure. The DevOps Engineer will be responsible for setting up and managing the operation of project development and test environments as well as the software configuration management processes for the entire application development lifecycle. Your role would be to ensure the optimal availability, latency, scalability, and performance of our product platforms. You would also be responsible for automating production operations, promptly notifying backend engineers of platform issues, and checking long term quality metrics.\n\nOur infrastructure is based on AWS with a mix of managed services like RDS, ElastiCache, and SQS, as well as hundreds of EC2 instances managed with Ansible and Terraform. We are actively using three AWS regions, and have equipment in several data centers across the world.\n\nRegions: North America (GMT-7.00) Mountain time - (GMT-4.00) Atlantic time\n\nResponsibilities\n\n\n* Training, mentoring, and lending expertise to coworkers with regards to operational and security best practises. \n\n* Reviewing and providing feedback on GitHub Pull Requests to team members AND development teams- a significant percentage of our Software Engineers have written Terraform.\n\n* Identifying opportunities for technical and process improvement and owning the implementation. \n\n* Championing the concepts of immutable containers, Infrastructure as Code, stateless applications, and software observability throughout the organization.\n\n* Systems performance tuning with a focus on high availability and scalability.\n\n* Building tools to ease the usability and automation of processes\n\n* Keeping products up and operating at full capacity\n\n* Assisting with migration processes as well as backup and replication mechanisms\n\n* Working on a large-scale distributed environment where you were focused on scalability/reliability/performance\n\n* Ensuring proper monitoring / alerting are configured\n\n* Investigating incidents and performance lapses\n\n\n\n\nCome help us with projects such as…\n\n\n* Extending our compute clusters to support low latency, on-demand job execution\n\n* Turning pets into cattle\n\n* Cross region replication of systems and corresponding data to support low latency access\n\n* Rolling out application performance monitoring to existing services, extending integrations where required\n\n* Migration from self hosted ELK to a SaaS stack\n\n* Continuous improvement of CI/CD processes making builds & deployments faster, safer, and more consistent\n\n* Extending a Global VPN WAN to a datacenter with IPSec+BGP\n\n\n\n\nRequirements\n\n\n* 3+ years of DevOps and/or Operations experience in a Linux based environment\n\n* 1+ years of production environment experience with Amazon Web Services (AWS)\n\n* 1+ years using SQL databases (MySQL, Oracle, Postgres)\n\n* Strong scripting abilities (bash/python)\n\n* Strong Experience with CI/CD processes (Jenkins, Ansible) and automated configuration tools (Puppet/Chef/Ansible)\n\n* Experience with container orchestration (AWS ECS, Kubernetes, Marathon/Mesos)\n\n* Ability to work as part of a highly collaborative team\n\n* Understanding of monitoring tools like DataDog\n\n* Strong written and verbal communication skills\n\n\n\n\nNice to Have\n\n\n* You knew exactly what was meant by "Turning pets into cattle"\n\n* Experience working with Kubernetes on bare-metal and/or the AWS Elastic Kubernetes Service.\n\n* Experience with RabbitMQ, MongoDB, or Apache Kafka.\n\n* Experience with Presto or Apache Spark.\n\n* Familiarity with computation orchestration tools such as HTCondor, Apache Airflow, or Argo.\n\n* Understanding of network concepts- OSI layers, firewalls, DNS, split horizon DNS, VPN, routing, BGP, etc.\n\n* A deep understanding of AWS IAM, and how it interacts with S3 buckets.\n\n* Experience with SAFe.\n\n* Strong programming skills in 2+ languages.\n\n\n\n\nTooling We Use\n\n\n* Data definition, format and interfaces\n\n\n\n* Definitions - Protobuf V3\n\n* Normalize from - JSON / XML / CSV\n\n* Normalize to - Protobuf / ORC\n\n* Interfaces - REST API(s) and object store buckets\n\n\n\n* Cloud Services - Amazon Web Services\n\n* Databases: Postgresql, PrestoDB\n\n* Cache: Redis, Varnish\n\n* Languages: Python / C++14 / Scala / Golang / Javascript / Ruby / Java\n\n* Job Orchestration - HTCondor / Apache Airflow / Rundeck\n\n* Analytics - Spark \n\n* Storage: NFS/EFS, AWS S3, HDFS\n\n* Computation - Docker Containers / VMs / Metal / EMR\n\n\n

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Security Scorecard - We are revolutionizing the cybersecurity industry


Data Engineer Attribution

Data Engineer Attribution


Security Scorecard - We are revolutionizing the cybersecurity industry


engineer

infosec

engineer

infosec

2mo
\nAbout The Role\n\nThe Attribution team develops software to collect and infer ownership information of Internet assets, such as IP addresses and domain names. Our team is looking for a data engineer to productionize prototype statistical models for attribution, and integrate new data sources into the attribution pipeline. We value experience in the networking and anti Internet-abuse communities.\n\n Requirements:\n\n\n* 3+ years of experience with:\n\n\n* Scala or Python, both preferred\n\n* Distributed systems (e.g. Spark, Hadoop)\n\n\n\n\n\n* Database systems (e.g. Postgres, MySQL)\n\n* Experience with the following is preferred:\n\n\n* IP (v4/v6) allocation and addressing conventions\n\n* DNS conventions and best practices\n\n* Anti-abuse investigations\n\n\n\n\n\n* Bachelor’s degree (CS, CE/EE, Math, or Statistics preferred)\n\n\n\n\nTraits\n\n\n* Comfortable working as part of a distributed team\n\n* Excellent communication and teamwork skills\n\n* Ability to make data driven decisions\n\n* Ability to do independent research\n\n\n\n\nInterview Process\n\n\n* Phone conversation with a Talent Acquisition team member to learn more about your experience and career objectives. 30 minutes.\n\n* Technical interview with hiring manager via video (preferred). Will include some coding. 30-45 minutes.\n\n* 1-2 technical interviews with data engineer and data science team members via video or in person. 1-1.5 hours for both.\n\n* Final meeting with engineering leadership via video or in person. 1 hour.\n\n\n

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Security Scorecard - We are revolutionizing the cybersecurity industry


Senior Data Analytics Engineer

Senior Data Analytics Engineer


Security Scorecard - We are revolutionizing the cybersecurity industry


senior

stats

engineer

infosec

senior

stats

engineer

infosec

3mo
\nWhy SecurityScorecard\n\nSecurityScorecard is revolutionizing the cybersecurity industry with our platform, data, and insights. We’ve built a new category of enterprise software, which enables companies to rate and understand the security risk of any company. Our customers span a variety of sectors and use cases, including compliance, cyber insurance, and vendor risk management. We are proud to be backed by Sequoia, Google Ventures, and Moody's.\n\nSecurityScorecard is growing tremendously and targeting talent who can contribute to the next phase in our company's development. A successful Scorecarder exemplifies our S(CORE) values: Solutions Focused, Customer Centric, operate as One Team, Resilience and Embody #SecurityDNA. Your interest in making an impact in our organization and alignment with these values are as important as your skills.\n\nOpportunity\n\nThe Senior Data Analytics Engineer will build meaningful analytics that inform companies of security risk. You will be working closely with our Data Science team, implementing algorithms and managing the analytic pipeline. We have over 1 PB of data, so the ideal candidate will have experience processing and querying large amounts of data.\n\nWe prefer this person to work from our NYC headquarters, but will consider remote applicants in other geographic areas.\n\nResponsibilities:\n\n\n* Manage the analytic pipeline using Spark, Hadoop, etc.\n\n* Leverage cutting-edge technologies to support new and existing and services and processes.\n\n* Quickly and efficiently design and implement in an agile environment\n\n* Work with other team members to implement consistent architecture\n\n* Drive projects through all stages of development\n\n* Actively share knowledge and responsibility with other team members and teams\n\n* Improve the effective output of the engineering team by managing quality, and identifying inconsistencies.\n\n\n\n\nRequirements:\n\n\n* Bachelor's degree (CS, EE or Math preferred) or equivalent work experience as well as interest in a fast paced, complex environment.\n\n* 5+ years of experience Scala or another functional language experience in a commercial environment (highly preferred)\n\n* 3+ Experience with Spark, and the Hadoop ecosystem and similar frameworks\n\n* Familiarity with various tools such as AWS and Docker and an instinct for automation\n\n* Expert in SQL\n\n* Strong understanding of Software Architecture principles and patterns.\n\n* Experience working with 3rd party software and libraries, including open source\n\n* Experience with Postgres\n\n\n

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# How do you apply? This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.