Senior Cloud/Data Engineer

Posted 21 Hours Ago
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Prague
Hybrid
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities.
The Role
As a Senior Cloud Engineer, you will build and maintain data infrastructure, manage cloud environments, support data architecture, and develop data pipelines using various tools and languages. You will also drive best practices in IAC and DevOps within the Data Engineering team.
Summary Generated by Built In

Senior Cloud Engineer
Rapid7 seeks an experienced, highly driven, and dynamic Senior Cloud Engineer to take our data engineering function to the next level. Come and join our efforts in unlocking the value of data through industry-leading innovation, cutting edge modern tooling, democratization at scale and building exceptional and trusted data products for the company!
About the Team
As we spearhead a cultural shift to a data-driven business, Data Engineering serves as the Hub for all teams at Rapid7 from ML Ops, to Sales and Operations to Platform and Engineering. Our team is a highly skilled yet egoless group of data magicians (and humorists) with a penchant for innovation and a knack for problem solving.
About the Role
As a Senior Cloud Engineer, you will build and maintain data infrastructure within the Data Engineering team's data platform. You'll be responsible for managing containerized applications and supporting our product event streaming systems in the cloud as you partner with high impact teams such as AI and Product Analytics. You will also build data pipelines using tools such as Airflow, Python, ECS and Snowflake. The Senior Data Engineer will also be expected to drive and mature best practices such as IAC (Terraform) and DevOps within the Data Engineering team.
In this role, you will:

  • Build and maintain hosted environments for key tools with AWS ECS/EKS
  • Manage cloud environments for the data engineering team through Terraform
  • Support our product events data architecture including Kafka, SQS, EKS &, S3
  • Develop data pipelines with Fivetran, Snowflake & Airflow using languages such as Python, SQL & Javascript
  • Provide thought leadership and contribute to the vision of our data engineering function
  • Participate in team processes such as on-call rotations, bug triage, technical direction, standards, and execution
  • Own delivery architecture/execution of major component(s) from conception to release
  • Looked up to for technical mentorship within the data engineering team. Make others better through code reviews, focus on documentation, and technical guidance
  • Understand the tradeoffs between technical and business needs, interact and negotiate with key stakeholders, and deliver solutions that take all of these needs into account
  • Regularly take complex designs / codebases and simplify them without being asked
  • Work closely with leadership to drive adoption of the latest DevOps and DataOps trends and technologies.


The skills you'll bring include:

  • 5+ years of hands-on software engineering experience
  • 4+ years working with a major cloud provider (preferably AWS); Experience building/maintaining VPC's and deploying code using Terraform is a must!
  • 3+ years building and maintaining hosted environments and applications using EKS or another container service is a must!
  • 5+ years of experience in at least one programming language such as Python, Java, Scala is required (Python is our most commonly used language); Advanced SQL expertise is required
  • Experience working in a modern lakehouse is required (Snowflake is preferred); Modern warehousing best practices should be second nature
  • Cloud experience is required (AWS is strongly preferred); Terraform is highly preferred
  • Knowledge and ideally hands on experience working with container services is required (ECS, Kubernetes, etc)
  • Experience working in a mature SDLC environment (ie: CICD) is required
  • Modern tech stack experience is a plus (dbt, Fivetran, Snowflake. Airflow)
  • Experience as a leader within a data engineering team and ability to mentor teammates
  • Strong work ethic, resiliency, persistence, and urgency; Data Engineering holds itself to a high standard so you'll need to keep up!
  • Sharp business and interpersonal skills; ability to influence at senior levels across business units to drive change and achieve common goals
  • BS or MS in Computer Science, Analytics, Statistics, Informatics, Information Systems or
    another quantitative field or equivalent experience


We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today.
About Rapid7
At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what's possible and drive extraordinary impact.
Here, we're building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever's next.
#LI-SIM

Top Skills

Java
Python
Scala
SQL

What the Team is Saying

Priya
Sammi
Tara
John
Grace
The Company
HQ: Boston, MA
2,400 Employees
Hybrid Workplace
Year Founded: 2000

What We Do

We do this by embracing tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.

Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 11,000+ global customers ahead of whatever’s next.

Why Work With Us

What makes us unique is how we embrace, model, and celebrate our core values. By challenging convention, being an advocate, creating impact together, always bringing our full selves, and recognizing that our work is never done, we are able to make an extraordinary impact on our business, our industry, and our own career growth.

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Rapid7 Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our default working model is hybrid, with employees working three days per week in the office. This approach underpins our commitment to flexibility and adaptability while supporting our dedication to development, teamwork and customer purpose.

Typical time on-site: 3 days a week
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