Background:

eu-LISA is the European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice (eu-LISA) manages large-scale IT systems to support the implementation of asylum, border management and migration policies in the European Union (EU). The Agency is also a front-runner for the digitalisation efforts of the EU's Justice and Home Affairs domain, building a new information architecture and contributing to the development of a new security ecosystem. Since the Agency's beginnings in 2012, eu-LISA has become the digital engine of the Schengen Area. With its activities and tasks, the Agency adds value to the EU Member States by supporting their efforts towards justice, security and freedom.

Task description:         

• Support of mail servers and mail relays for eu-LISA core business systems (SISII and VIS).
• IT support, ranging from simple desktop and peripheral support to complex server and network issues.

Education:       

• Minimum 4 years of relevant education (master or equivalent) after the secondary school

Minimum Experience:

• Minimum 9 years of relevant professional experience

Additional needed qualification, knowledge and skills:         

• Server management, Operating System (OS) knowledge (UNIX, Linux, Windows)
• Virtual servers : VMware ESX would be an asset
• Administration of Backup & Storage systems (knowledge of HP backup & storage systems would be an asset)
• Network infrastructure services (print server, dns, ntp, etc.)
• Active Directory (AD) / LDAP Management
• Email and antispam systems
• Network Access Server (NAS) and Distributed file systems
• Public Key Infrastructure (PKI) systems
• Replication & Disaster recovery
• Document management systems
• Centralized deployment of software and updates
• HW/SW inventory management
• Software compliance monitoring and enforcement
• Monitoring systems (configuration, customisation, further development), NAGIOS infrastructure monitoring software knowledge would be an asset
• Centralized IT security policy management
• Excellent analysis and problem solving
• Prioritizing incidents, requests and changes
• Experience in managing highly available environments and multiple site support
• Familiar with ITIL/ITIL V3 concepts
• Script development skills (php, perl, csh, etc.)

The Team:

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

ABOUT CUBIST

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

JOB DESCRIPTION

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.

Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

DESIRABLE CANDIDATES

• MS or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• 3-7 years of experience in alpha driven quantitative research for equities, futures, fixed income, credit, and/or FX
• Strong analytical and quantitative skills
• Demonstrated ability to conduct independent research utilizing large data sets
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear about it. In addition to exceptional statisticians and engineers, we work with talented musicians, writers, mathematicians, and founders of non-profits; we’d love to learn more about what excites you.

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

• Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
• Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Strong analytical and quantitative skills
• Demonstrated interest in financial markets and systematic trading
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.