Artificial Log Machine Operator Job Description Samples

Results for the star of Artificial Log Machine Operator

Machine Learning Engineer - Artificial Intelligence

Machine Learning Engineer

  • Artificial Intelligence Machine Learning Engineer

  • Artificial Intelligence

  • Skills Required

  • Machine Learning, Python/Java/ OR C++, Algorithms, Deep Learning, Artificial Intelligence, Supervized/unsupervised, time series, Image Analysis, PHD/Masters Based in the Palo Alto, CA area, we are one of the most innovative and "Fast growing" Artificial Intelligence based companies in the area. We are working on some of the most complex consumer purchasing challenges the world has to face! With access to the most advanced technologies, our team is composed of experts in the world of business solutions. Our leadership team brings experiences from leading global technology firms and pride themselves in their hands-on, mentor level management style. If you are a Machine Learning Scientist with advanced knowledge of machine learning with expertise in areas that include deep learning, supervised/unsupervised, time series, image analysis, computer vision, we would welcome the opportunity to discuss the details. We are willing to offer excellent compensation packages including a base salary $100k - $150k+ and excellent benefits. Requirements: - 3+ years of Software Engineering / Data Science experience

  • Bachelors degree in CS, Engineering, Statistics. Masters or PHD preferred.

  • Leadership experience a plus, but we are looking for someone hands-on

  • Machine Learning expertise

  • Supervised / unsupervised learning

  • Time series

  • Image analysis and/or computer vision

  • Languages that include Python, Java, and/or C+Nice to have skills:

  • Strong interest in creating solutions to problems

  • Experience in and interest in learning new technologies

  • Experience managing multiple projects and working independently

What You Need for this Position At Least 3 Years of experience and knowledge of:

  • Machine Learning

  • Python/Java/ OR C+- Algorithms

  • Deep Learning

  • Artificial Intelligence

  • Supervized/unsupervised - time series

  • Image Analysis

  • PHD/Masters So, if you are looking for a growth opportunity, please apply today! --- You can also email me directly at eric.shaner@cybercoders.com --- Find me on LinkedIn - www.linkedin.com/in/analytics Applicants must be authorized to work in the U.S. CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.

Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

*Machine Learning Engineer

  • Artificial Intelligence* CA-Palo AltoES1-1401089

Post a Job

Director Of Software Engineering - Machine Learning & Artificial Intelligence

Description: Grow and direct the scalingand adoption of Machine Learning across Cigna’s Software Engineeringteams. We are looking for a talented,experienced and passionate Machine Learning expert who will grow and direct

Software Engineering teams in the generation of insights that drive customerbehavior by leveraging practices like Recommender Systems, Anomaly detection,NLP, Machine Vision, Collaborative Filtering, Clustering, Classification,Regression, Deep Learning, and/or statistical modelling. Our mission is to help thepeople we serve improve their health, well-being and sense of security. Whilethe preference is to have the role based in either our New York City, NY orBloomfield, CT office location, this individual may work from anywhere in the

United States, if open to travel to New York City or Bloomfield each month(approximately 25% travel if not within daily commuting distance to either NYCor Bloomfield). - End to end hands-onownership of machine learning systems deployable across various projectsincluding data pipelines, model generation, and training and inferenceengines. - Quick Proof of Concept (POC) project ownership around projects that need DeepLearning, Collaborative Filtering, Clustering/Unsupervised learning, mixed withtraditional approaches. POCs should result in rich and deep learning experiencefor the organization, so that they can be applied to real world projects thatare also delivered here. - Algorithm development, Model enhancements, around some key research areas(innovation areas) that SVL is focusing on. This requires constant paperreading, and staying ahead of the game by knowing what is and will be state ofthe art in this exciting field. - Manage team of SoftwareEngineers (comprised of a mix of employees and consultants) and grow this teamover time.

Qualifications: - Strong background in one or more of: Deep Learning, Machine Learning,Natural Language Processing, Computer Vision, Recommendation Systems, PatternRecognition, Large Scale Data Mining or Artificial Intelligence. - Strong Experience using one of TensorFlow, MXNet, Theano, Caffe and otheropen source frameworks. Solid understanding of underlying concepts of TensorFlow (as an example) to understand/enhance the inner workings of an AIframework of choice - Delivery of a previous AI based project with success and failure stories froma real customers, with a good sense of lessons learned and a clear interest andpassion in trying out what was learned in new projects - Strong hands-on coding expertise with C/C , Python, Scala, Lua, MATLAB, or any proficient AI language of choice - A mathematical, statistical and probability inclination and deepunderstanding of some AI concepts - A sense of ambition and passion to change the world using AI and DeepLearning - MS with 6 years in Computer Science field, or PhD with 3 years in Computer Science field, or BS with 8 years of applied machine learning experience.Degree preferred, not required if candidate possesses equivalent applied machine learning experience and expertise

US CandidatesOnly :Qualified applicants will be considered for employment without regard to race,color, religion, national origin, sex, sexual orientation, gender identity,disability, veteran status. If you require a special accommodation, pleasevisit our Careers website or contact us atSeeYourself@cigna.com.

Primary Location: New York-New York

Other Locations: United States-Connecticut-Bloomfield, United States-All Cigna Office Locations, United States-Work From Home Jobs

Work Locations: 140 East 45th Street New York 10017

Job: IT--App Dev & Management

Schedule:

Regular

Shift:

Standard

Employee Status:

Manager of People

Job Type: Full-time

Job Level:

Day Job

Travel:

Job Posting: Aug 11, 2017, 11:48:21 AM


Post a Job

Principal Data Scientist - Artificial Intelligence, Machine Learning & Big Data

The Expertise We’re Looking For

  • PhD (or working towards similar) in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.

  • Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.), using relevant programming languages (Python, PySpark, Scala, Java, C , C#, C, etc.), mathematical/statistical/ML languages and platforms (R, H2O.ai, Octave, Matlab, Weka, SAS, etc.) and big data tools and languages (Spark, MapReduce, SQL, Hive, etc.).

  • Advanced knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies. Experience in evaluating and making decisions around the use of new or existing tools for a project.

  • Proven track record of strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams.

  • Experience in projects involving large scale-multi dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched ML projects. * 5 years of relevant employment experience. The Purpose of Your Role You will partner with business stakeholders to identify/prioritize top AI opportunities, create business/technical requirements, transform large volumes of data into AI-driven solutions using creative, cutting edge open source methods/technologies, lead ML strategy and road map planning, work across teams and influence the direction of external teams. The ideal leader will combine expert AI/ML/Open Source/Tech knowledge with hands on experience building algorithms/models/programming and outstanding business skills (revenue/cost drivers, customer experience, customer journey, communication, etc.) to manage and deliver complex/critical projects driving significant value to Fidelity. The Skills You Bring

  • Experience with TensorFlow, Keras, Theano, CUDA, and/or DSSTNE.

  • Experience with advanced ML techniques (RNN, CNN, LSTM, GRU, Genetic Algorithms, Reinforcement Learning, etc.).

  • Experience with voice recognition, natural language processing, and computer vision

  • Experience building and delivering complex systems that leverage various machine learning algorithms or technologies that integrate well with other organization-wide systems and can scale effectively.

  • Experience in developing and/or launching ML algorithms/frameworks using cloud infrastructure.

  • Previous experience in digital-native organizations (Google, Facebook, Amazon, etc.) and/or the Financial Services industry. The Value You Deliver We work closely with business stakeholders, collect requirements and deliver high value AI/ML solutions that drive customer and business value.. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry. How Your Work Impacts the Organization The AIML (Artificial Intelligence and Machine Learning) team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable AI algorithms, models, platforms and technologies to significantly improve customer experience and drive business results. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. For information about working at Fidelity, visit FidelityCareers.com / / / Fidelity Investments is an equal opportunity employer. /

Job:Marketing/ Advertising/ Media/ Communication

Title:Principal Data Scientist - Artificial Intelligence, Machine Learning & Big Data

Location:MA-Boston

Requisition ID:1705821

Other Locations:US-NC-Raleigh


Post a Job

Machine Learning / Artificial Intelligence Scientist

Job Description
Position Overview/Description:
Ford Global Data Insight and Analytics (GDI&A) is looking for a data scientist with an emphasis on Machine Learning and scalable computing. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry. We are seeking a high-potential Machine Learning scientist to assist in all phases of project work, including problem formulation, model development, and deployment for use in support of Ford Smart Mobility and Autonomous Vehicle initiatives. The analyst needs to have strong self-discipline and have a "continuous learning" attitude to face different challenges in the fast changing mobility field. The job candidate should have great autonomy and self-discipline to conduct original research and choose appropriate methodologies to solve the world-class mobility problems. This position will involve the development and deployment of AI technology in areas such as autonomous vehicles, cybersecurity, customer interaction, manufacturing and connected vehicles. This person will be a member of a team that will apply AI/Machine Learning to help develop innovative solutions for these problems and build a strategy for future progress in this area.
The Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai, and Shanghai – is a growing team committed to enable Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners. Together our team works to understand our changing world, identify new opportunities, and take action to design and innovate for the future of mobility – Ford’s vehicles and surrounding experiences.
Responsibilities:

    *
  • Analyze source data and data flows, working with structured and unstructured data
  • *
  • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
  • *
  • Apply AI/Machine Learning technology to solve real-world problems
  • *
  • Analyze and visualize diverse sources of data, interpret results in the business context, and report results clearly and concisely
  • *
  • Execute both descriptive and inferential ad hoc requests in a timely manner
  • *
  • Communicate and present models to business customers and executives
  • *
  • Work collaboratively with different business partners and be able to present result in a clear and concise manner
  • *
  • Teach and mentor others in the use of AI/Machine Learning
Job Requirements:

Basic Qualifications:
    *
  • Bachelor’s degree in Computer Science, Computer Engineering, Statistics, Economics, Mathematics or Physics
  • *
  • 2+ years of experience of functional programming with Python, Scala, OR LISP
  • *
  • 2+ years of experience with SQL, Spark, OR Hadoop
  • *
  • 2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools to include one or more of the following: neural networks, regression, classification, or clustering
  • *
  • 2+ years of experience with data sources and platforms to include one of more of the following: Unix/Linux, Teradata, Hadoop, Oracle, SQL Server, OR DB2
Preferred Qualifications:
    *
  • Master's Degree or PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
  • *
  • Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
  • *
  • Experience with Deep Learning tools such as TensorFlow and Caffe on NVidia DevBoxes
  • *
  • Experience with Agile software development
  • *
  • Experience with parallel/grid computing is a plus
  • *
  • Experience with contributing to open source projects is a plus
  • *
  • Strong oral and written skills
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Post a Job

Artificial Intelligence (Ai)/ Machine Learning (Ml) IT Researcher

Your role: Do you know what it takes to be an architect, only your structures are virtual? We're looking for someone like this with experience in Artificial Intelligence (AI) and Machine Learning (ML) to be part of our world class team.

We need you to: -actively participate in the design and development of Artificial Intelligence solutions at UBS -be part of the AI technology evaluation team that is hands on. You will install, evaluate and report on the capabilities of AI vendors across a wide range of use cases for financial services -closely follow the AI marketplace and evaluate and report on venture capital investments that are specific to disruption in financial service via AI technology -collaborate with the IT community at UBS to deliver strategic architecture designs for AI technology and roadmaps for future product development

What we offer: Together. That’s how we do things.

We offer people around the world a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance.

Take the next step: Are you truly collaborative? Succeeding at UBS means respecting, understanding and trusting colleagues and clients.

Challenging others and being challenged in return. Being passionate about what you do. Driving yourself forward, always wanting to do things the right way.

Does that sound like you? Then you have the right stuff to join us. Apply now. Disclaimer / Policy Statements: UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Your team: You will be working in the Chief Technology Office of UBS Group. You will be a member of the CTO Research Labs and supports the Group Innovation team, the Robotic Process Automation (RPA) CoE and various analytics functions at UBS to enable and drive the deployment of AI and ML capabilities across UBS. You will be based in the UBS office in Weehawken, NJ.

Your experience and skills: You have: -excellent technology skills, ability to communicate clearly to both IT and business, and a solid understanding of the emerging technology marketplace in FinTech -experience at a financial services firm or consulting for financial services with focus on AI preferred -strong understanding of the technology evaluation and selection process. -solution-oriented, motivated and self-challenging personality -background in Machine Learning and Statistics / data science, experience in toolsets like Python/R, development/rapid prototyping and UX a plus

About us: Expert advice. Wealth management.

Investment banking. Asset management. Retail banking in Switzerland.

And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.

We are about 60,000 employees in all major financial centers, in almost 900 offices and more than 50 countries. Do you want to be one of us? Job Reference #:

155994BR Business Divisions:

Corporate Center Title: Artificial Intelligence (AI)/ Machine Learning (ML) IT Researcher

City:

Weehawken

Job Type:

Full Time Country / State: United States - New Jersey

Function Category: Information Technology (IT)



Post a Job

United States Rock Springs: Operator Assistant I To Service Operator I- Log

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers.

Experience the challenges, rewards and opportunity of working for one of the world-s largest providers of products and services to the global energy industry. We bring out the best in wells and people. Looking for an opportunity to get your hands wet digging oil wells?

This entry-level opportunity exists at Halliburton. As an Operator Assistant I, you have the opportunity to learn the basics of oil well operations and assist during the operation of well logging equipment at the job site. Additionally, you will learn to assemble down hole well logging tools (electric, nuclear, sonic, and other well logging tools);and maintain, clean and perform preventative maintenance on down-hole and surface well logging equipment.

If it is your goal to get into the service operator field, this job is for you. There must be a willingness to learn, assist where needed, and help maintain a safe work environment. In addition to a high school diploma or equivalent, you must be licensed to drive a commercial vehicle. Successful completion of Well Control Accreditation Program (Well CAP) is preferred, as is the sucessful completion of water survival training.

  • Halliburton is an Equal Opportunity Employer.

  • Location 1801 Blairtown Road,-Rock Springs,-Wyoming,-82901, United States

  • Job Details Requisition Number:-44824 Experience Level:-Entry-Level- Job Family:-Operations- Product Service Line:-Wireline and Perforating Full Time / Part Time:-Full Time Additional Locations for this position:- - Compensation Information Compensation is competitive and commensurate with experience.

Post a Job

Machine Learning Engineer - Artificial Intelligence

Based in the Palo Alto, CA area, we are one of the most innovative and "Fast growing" Artificial Intelligence based companies in the area. We are working on some of the most complex consumer purchasing challenges the world has to face! With access to the most advanced technologies, our team is composed of experts in the world of business solutions. Our leadership team brings experiences from leading global technology firms and pride themselves in their hands-on, mentor level management style. If you are a Machine Learning Scientist with advanced knowledge of machine learning with expertise in areas that include deep learning, supervised/unsupervised, time series, image analysis, computer vision, we would welcome the opportunity to discuss the details.

We are willing to offer excellent compensation packages including a base salary $100k - $150k+ and excellent benefits.

Requirements:

  • 3+ years of Software Engineering / Data Science experience

  • Bachelor’s degree in CS, Engineering, Statistics. Masters or PHD preferred.

  • Leadership experience a plus, but we are looking for someone hands-on

  • Machine Learning expertise

  • Supervised / unsupervised learning

  • Time series

  • Image analysis and/or computer vision

  • Languages that include Python, Java, and/or C++

Nice to have skills:

  • Strong interest in creating solutions to problems

  • Experience in and interest in learning new technologies

  • Experience managing multiple projects and working independently
    What You Need for this Position

At Least 3 Years of experience and knowledge of:

  • Machine Learning

  • Python/Java/ OR C++

  • Algorithms

  • Deep Learning

  • Artificial Intelligence

  • Supervized/unsupervised

  • time series

  • Image Analysis

  • PHD/Masters
    So, if you are looking for a growth opportunity, please apply today!

You can also email me directly at
Find me on LinkedIn -

Applicants must be authorized to work in the U.S.


Post a Job

Application Developer- Machine Learning Or Artificial Intelligence

Machine learning Artificial Intelligence bull Require a bachelor's degree and 3 - 5 years of experience in the field or in a related area.
bull Has knowledge of standard concepts, practices, and procedures within a particular field.
bull Relies on limited experience and judgment to plan and accomplish goals.
Performs a variety of tasks.
Works under general supervision.
bull A certain degree of creativity and latitude required.
bull Typically reports to a project leader or manager.
Looking for an extremely technical, hands-on machine learning artificial intelligence engineer with experience operating machine learning models in production.
IMPORTANT SKILLS H20.ai Regards, Sampath Devara httpdotcom-team.com httpdotcom-team.com (o) (f) sampathdotcom-team.com mailtosampathdotcom-team.com The Dotcom Team LLC, 325 Wood Road, Suite 103, Braintree, MA 02184

Skills: Application Developer- Machine learning or Artificial Intelligence


Post a Job

Artificial Intelligence / Machine Learning Engineer

A Cupertino Silicon Valley technology startup, with an ownership group track record of success (previous startup was sold to a tech giant), is looking for a AI/Machine Learning Engineer to assist in the development of their media application and tool. Opportunity to make an impactful contribution to a small team of experts who are developing Technology never done before. The app is already launched and available on multiple platforms with solid reviews. There is active interest and site visits from Fortune 25 Tech companies.

As an artificial Intelligence / Machine Learning engineer , you will be responsible for a core component

of an innovative consumer product from our Advanced Products and Technologies division. In this role,

you will deal with large-scale data set with intensive hands-on code development. In addition, this role

will be responsible for the following: Collect, process and cleanse raw data from a wide variety of

sources. Transform and convert unstructured data set into structured data products. Identify, generate,

and select modeling features from various data set. Train and build machine learning models to meet

product goals. Innovate new machine learning techniques to address product and business needs.

Analyze and evaluate performance results from model execution. To be successful, you need to be

highly motivated and detailed oriented while showing highest standards of responsibilities. We are

looking for candidates who strive in a fast paced start-up like environment.

We are looking for a candidate who can leverage/develop innovative machine learning and data mining

technologies, for solving novel and diverse sets of problems. Candidate should have a strong background

and experience in machine learning and information retrieval. Must have experience managing

end-to-end machine learning pipeline from data exploration, feature engineering, model building,

performance evaluation, and online testing with TB to Peta Bytes size data sets.

Requirements

● 2+ years experience or PhD student from top 5 schools
● PhD in Computer Science, Machine Learning or Statistics desired
● Experience communicating with diverse teams including data scientists, engineers, product
managers, and executive management.
● Proven track record of delivering high quality analytics insights and solutions.
● Deep understanding, analysis, and mining of large corpora of structured and semi-structured
data.
● Knowledge and experience managing and analyzing global data.
● Strong experience with Big Data (min 2 years of hands-on experience working on TB to PB scale
datasets)
● Dataset experience in document, graph, log data, and semi-structured data
● Strength in Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition,
Information Retrieval, Natural Language Processing, or Search Ranking
● Experience innovating and implementing novel ML techniques
● Experience using all these ML techniques: clustering, regression, classification, graphical models,
mixture models, topic models, and matrix factorization
● Self driven individual who can take a high-level problem and see it to completion
● Knowledge of distributed computing solutions and ability to leverage them towards gaining
faster insights from data.

● Excellent communication and team promotion skills.

Benefits

Base Compensation with Share Options

Post a Job

Senior Log Monitoring Engineer (Splunk/Elastic)

Overview Looking to invest your time and energy into innovative engineering projects that can really make a difference for a global IT services organization? Join the Enterprise Monitoring, Tooling and Engineering team at American Express. Be a part of the team responsible for introducing and supporting technology that improves the availability, performance and efficiency of American Express’ IT operations. EMTE seeks a Senior Infrastructure Engineer with the ideas, knowledge, and strengths to enhance how American Express Technology uses log monitoring (Splunk/Elastic) and machine data to gain greater Operational Intelligence and Predictive Monitoring. This Senior Infrastructure Engineer will align all engineering designs with American Express’ architectural enterprise standards and promote the adoption of best practices offered through the Enterprise Logging Center of Excellence. Success for this individual’s performance and outcomes will be measured, in part, on the engineer’s ability to lead and collaborate with team members, technology partners and other stakeholders to create innovative solutions that achieve personal goals and those set by organizational leaders and the team. Job Description As a Senior Infrastructure Engineer you will:

  • Maintain and enhance multiple Log Monitoring tools and environments (e.g., Splunk 6.x, Elastic 5.x, Red Hat Linux) * Assist various teams with data onboarding into Splunk and/or Elastic

  • Assist users with Log Monitoring queries, dashboards, and applications for use by Operations, Development, and Management personnel

  • Mentor Splunk/Elastic users and administrators

  • Work closely, at a deep technical-level, with engineering teams to ensure solution designs are consistent with American Express Technology’s architectural vision, platform/product roadmaps, enterprise standards, guidelines and principles

  • Ensure compliance with security standards, and assist in audit preparations.

  • Develop, document and implement enterprise standards and procedures

  • Monitor environment and computing resources for reporting and capacity planning.

  • Maintain systems documentation

  • Assist with the administration/support of other EMTE platforms as necessary

  • Participate in 24x7 on-call support rotations for monitoring and automation tools during business hours, nights and weekends

  • Function as an active member of an agile DevOps team, consistently contributing to the team and its Agile practices (tools, common components, and documentation) * Adopt DevOps methods and roles in support of monitoring and automation tools/services

  • Assist in troubleshooting various system, network, and application issues using Splunk data

  • Follow Incident/Problem/Change Management, SOX and PCI processes

  • Perform all activities in a timely manner, as required, to contribute toward Enterprise-level compliance of internal/external processes, standards and regulatory controls.

  • Perform other duties as assigned.Qualifications · Strong knowledge of Splunk and/or Elastic administration and maintenance. · Strong knowledge of Splunk and/or Elastic cluster construction and administration. · Strong knowledge of Splunk and/or Elastic application development and optimization. · Ability to write scripts in one or more languages. (shell, Perl, Python, Ruby, etc…) · Familiarity with Red Hat Enterprise Linux 6 and 7. · Experience creating and supporting highly available enterprise production environments. · Fundamental knowledge of TCP/IP networking, subnetting and routing concepts, and distributed computing concepts; · Ability to self-direct personal activities to achieve goals and meet commitments · Self-motivated leader with strong interpersonal skills and ability to work in cross-functional and inter-organizational teams. · Ability to persuade and influence others without direct control. · Able to manage multiple projects tasks and those of supporting team members needed to meet multiple demands in a dynamic, fast paced environment. · Strong analytical, logical reasoning · Strong troubleshooting skills and experience working within a heterogeneous environment. · Ability to solve problems quickly and independently · Ability to automate processes · Strong written and verbal communication skills, with the ability to influence cross-functional teams, business and/or vendor partners, and technology leaders · Able to develop/make presentations, facilitate discussions and provide technical demonstrations in 1:1, small group and large group settings.Required Background · 3 years’ experience in Splunk production administration · Experience managing team/workgroup activities · Bachelor’s Degree in computer science, computer engineering preferred, or experience in related field required.Desirable Skills and Experience · Working knowledge of Linux administration: configuration and tuning, networking, logging, storage, and installation and integration of third-party software. · Programming background in any applicable language. · Familiarity of SOX, PCI DSS and other regulatory standards helpful · Ability to design, and present training to varying levels of users. · Experience with any of the following: Ansible, Elastic, Graphite, InfluxDB, Kafka · Prior experience in DevOps or DevOps-like environment (Practices that emphasize the collaboration and communication of both software developers and operations engineers) · Working knowledge of Application Development workflow and Agile Methods Experience working with Scrum or Kanban-related tools and concepts (e.g., Jira, Rally, Epics, Stories, estimating story points, etc.)

Why American Express Talk to our people and you’ll find out what we’re really all about. Open, creative, risk-taking, collaborative and innovative are just some of the expressions you’ll hear. It’s our culture that makes American Express an outstanding place to work, and a big part of why we regularly win best workplace awards all over the world. If you’re ready to take on a challenge and make an impact, you owe it to yourself to launch or grow your career here. / American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law. Click here to view the // "EEO is the Law" poster and supplement // and the // Pay Transparency Policy Statement // . / / If the links do not work, please copy and paste the following URLs in a new browser window: // http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm // and // http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf / / Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions /

JobTechnology

Title:Senior Log Monitoring Engineer (Splunk/Elastic)

Location:AL-Montgomery

Other Locations:US-Arizona-Phoenix, US-Florida-St. Petersburg

Requisition ID:17009664


Post a Job