Jobs by tag: "SecurityScorecard"

Showing 1-4 of 4 items.
00S

Senior Data Engineer

SecurityScorecard
senior engineer 6 days agoApply

Job Description

Us\n\nThe SecurityScorecard ratings platform helps enterprises across the globe manage the cyber security posture of their vendors. Our SaaS products have created a new category of enterprise software and our culture has helped us be recognized as one of the 10 hottest SaaS startups in NY for two years in a row. Our investors include both Sequoia and Google Ventures. We are scaling quickly but are ever mindful of our people and products as we grow.\n\nThis role will be based in our HQ in NYC, or remote (home office) i North America.\n\nPosition Summary\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\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\nSkills and Experience:\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\n\nTraits:\n\n\n* Quick-thinker who takes ownership and pride in their work\n\n* A commitment and drive for excellence and continual improvement \n\n* A strong sense of adventure, excitement and enthusiasm.\n\n* Excellent systems analytical, problem solving and interpersonal skills\n\n\n

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00S

Devops Engineer

SecurityScorecard
devops engineer 14 days agoApply

Job Description

portunity\n\nSecurityScorecard is hiring an Ops Engineer to bridge the gap between our global development and operational teams who is motivated to help continue automating and scaling our infrastructure. The Ops 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\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\n\nRequirements\n\n\n* 3+ years of DevOps and/or Operations experience\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* Scripting ability (Bash, Python, C++ a plus)\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 is 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

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00S

Data Engineer Productionize Statistical Models

SecurityScorecard
engineer 24 days agoApply

Job Description

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\nThis position is either in our HQ in NYC or remote in North America.\n\nTechnical Skills and Experience\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. 45 minutes each.\n\n* Final meeting with engineering leadership via video or in person. 1 hour.\n\n\n\n\n About SecurityScorecard\n\nAt SecurityScorecard, we are revolutionizing the cyber security industry. Our platform has created a new category of enterprise software, which companies worldwide rely on to manage the cyber security posture of their vendors. We are on a mission to create a new language for companies and their partners to communicate, understand, and improve each other’s security posture.\n\nBacked by Sequoia and Google Ventures, we are growing tremendously year over year. As we scale, so does our need for talent - if you are intellectually curious and excited by the idea of contributing to a high-growth startup, we’d love to talk to you.

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00S

Systems Software Engineer Write Performant Software For Microservices

SecurityScorecard
dev engineer digital nomad 27 days agoApply

Job Description

The Role\n\nThe SecurityScorecard Attribution team develops software to collect and infer ownership information of Internet assets, such as IP addresses and domain names. We are expanding the team to include a software developer who enjoys learning and writing performant, systems software for highly used microservices and distributed data processing pipelines.\n\nWe value experience in the networking and anti Internet-abuse communities.\n\nThis position will be in our HQ i New York City, or remote.\n\nTechnical Skills and Experience\n\n\n* 3+ years of experience with:\n\n\n\n* C++ and Go\n\n* SQL (e.g. Postgres)\n\n\n\n\n\n\n\n* Experience with the following is preferred:\n\n\n\n* Distributed systems (e.g. HTCondor)\n\n* IP (v4/v6) allocation and addressing conventions\n\n* DNS conventions and best practices\n\n* goprof, valgrind, lldb\n\n\n\n\n\n\n\n* Bachelor’s degree (CS, or CE/EE 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* Second technical/behavioral interview with an engineering team member and hiring manager via video or in person. 30-45 minutes.\n\n* Final meeting with engineering leadership via video or in person. 30 minutes.\n\n\n

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