artificial intelligence (“ai”) solutions engineer

software engineer

ai engineer

ai engineer ii

artificial intelligence (“ai”) solutions engineer Jobs in New York

backend engineer

solutions engineer

Elliptic

<div>Do you want to help define the future of finance?
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.<h2 class="jobSectionHeader"> 
The impact you will have</h2>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Write, ship, and maintain production code as a hands-on engineer.</li><li>
Architect, design, and implement large-scale distributed data systems and pipelines.</li><li>
Contribute to technical decision-making across batch and streaming data solutions.</li><li>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</li><li>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</li><li>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</li><li>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</li><li>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</li><li>
Help shape the technical roadmap for data engineering across Elliptic.</li><li>
Leverage and deploy AI and agentic systems to operate more effectively.</li></ul><h2 class="jobSectionHeader"> 
Tech environment</h2>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming<h2 class="jobSectionHeader">
You will thrive here if you</h2><ul><li>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</li><li>
Strive for engineering excellence and scalable, sustainable systems.</li><li>
Use data and experimentation to guide decisions.</li><li>
Communicate openly and collaborate across teams.</li><li>
Support and coach less-experienced engineers.</li><li>
Believe every challenge is an opportunity to simplify and innovate together.</li><li>
Enjoy working with AI to benefit the company, your team and yourself.</li></ul><h2 class="jobSectionHeader"> 
What we are looking for</h2><ul><li>
Hands-on production experience with Scala and functional programming.</li><li>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</li><li>
Hands-on experience with big data frameworks such as Spark or Databricks.</li><li>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</li><li>
Judgement to balance scalability, performance, and maintainability.</li><li>
Experience with data modelling and workflow orchestration.</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Experience in stream processing frameworks and event-driven architecture.</li><li>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</li><li>
Experience working in containerised environments (Docker, Kubernetes).</li><li>
Interest in AI-driven tooling for engineering workflows.</li><li>
Interest in crypto and blockchain technologies.</li></ul>
How we work:<ul><li>
Hybrid working: The option to work from almost anywhere for up to 90 days per year.</li><li>
Remote Work Budget: $650 budget to set up your home office space.</li></ul>
Learning &amp; Development:<ul><li>
L&amp;D Budget: $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</li></ul>
Vacation / Leave:<ul><li>
Holidays: 25 days of annual leave + US Public Holidays.</li><li>
Birthday Leave: An extra day off for your birthday.</li><li>
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</li></ul>
Benefits:<ul><li>
Healthcare: Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</li><li>
401k: Company match included.</li><li>
Mental Health: Full access to Spill mental health support.</li></ul> 
 
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. 
 
No recruitment agencies please!
Compensation Range: $165K - $305K</div>

Senior Software Engineer - Data

The Museum of Modern Art

<div>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.

Responsibilities:
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
Reports to: Director of Engineering

Salary Range: Minimum of $140,000 to a maximum of $160,000 per annum

Application instructions: To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.

Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Senior Data Engineer

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Machine Learning Engineer, Card Tech

Rensselaer Polytechnic Institute

<div>Who we are
Why Rensselaer? Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.
Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.
<div>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.
Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.
</div><div><div><div>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.
</div></div></div><div>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.
</div>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.
Are you ready to change the world? Apply now!
Job Summary
Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.
Qualifications
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul>Pay transparency data:
Pay transparency disclosure: The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.
Postdoctoral Research Associate: $62,354 - $65,000 / yr
 
Research Associate: $64,000 - $66,000 / yr
 
Research Scientist: $66,000 - $95,000 / yr
 
Sr. Research Scientist: $80,000 - $138,000 / yr
 
***
Research Specialist $18.00 - $26.44 / hr
 
Sr. Research Specialist $62,354 - 66,000 / yr
 
***
Research Engineer: $66,000 - $86,000 / yr
 
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
 
***
Research Assistant: $16.00 - $22.00 / hr
Application instructions 
Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter
If you need assistance with the online application process, please contact careers@rpi.edu
Job Posted Date
Applications will be accepted until the position is filled.
Total Compensation and Benefits Information
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div> 
</div><div>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</div> 
#LI-DNI</div>

Materials & Manufacturing Researchers

IDBNY

<div>SIEM Engineer &ndash; Job Description

Role Overview

The SIEM Engineer is responsible for designing, implementing, maintaining, and optimizing the organization's Security Information and Event Management (SIEM) platform. This role supports Security Operations by developing detection use cases, integrating log sources, improving threat visibility, and enhancing incident response capabilities across on-premises, cloud, and hybrid environments. The SIEM Engineer works closely with SOC analysts, incident responders, threat intelligence teams, infrastructure teams, and security leadership to strengthen the organization's cyber defense posture.

Key Responsibilities
<div>
<ul><li>SIEM Administration &amp; Engineering</li></ul>
</div><ul><li>Manage and maintain enterprise SIEM platforms.</li>
<li>Configure and optimize log ingestion, normalization, parsing, and retention.</li>
<li>Integrate security data sources including:</li>
<li><ul><li>Firewalls</li>
<li>IDS/IPS</li>
<li>EDR/XDR</li>
<li>Active Directory / Entra ID</li>
<li>Cloud platforms (Azure, AWS, GCP)</li>
<li>Network and endpoint security solutions</li>
</ul></li><li>Ensure availability, scalability, and performance of SIEM infrastructure.</li>
</ul><div><ul><li>Detection Engineering &amp; Use Case Development</li></ul>
</div><ul><li>Develop and maintain correlation rules, analytics, and detection content.</li>
<li>Create use cases aligned with MITRE ATT&amp;CK techniques.</li>
<li>Tune detection rules to reduce false positives and improve alert fidelity.</li>
<li>Work with Purple Team, Red Team, and Threat Intelligence teams to improve detection coverage.</li>
<li>Implement new monitoring capabilities for emerging threats.</li>
</ul><div><ul><li>Security Monitoring &amp; Incident Support</li></ul>
</div><ul><li>Support SOC operations through advanced threat detection and alert analysis.</li>
<li>Assist incident responders during investigations.</li>
<li>Correlate events across multiple technologies to identify malicious activity.</li>
<li>Perform root cause analysis and recommend containment improvements.</li>
<li>Develop dashboards and reporting for operational visibility.</li>
</ul><div><ul><li>Threat Hunting &amp; Threat Intelligence Integration</li></ul>
</div><ul><li>Develop hunting queries to identify malicious behavior not detected by automated alerts.</li>
<li>Integrate threat intelligence feeds into the SIEM platform.</li>
<li>Create indicators of compromise (IOC) monitoring and enrichment processes.</li>
<li>Identify suspicious trends and emerging attack patterns.</li>
</ul><div><ul><li>Automation &amp; Optimization</li></ul>
</div><ul><li>Automate SIEM administration and monitoring tasks using scripting.</li>
<li>Integrate SIEM with SOAR platforms and ticketing systems.</li>
<li>Develop workflows for alert enrichment, escalation, and incident response.</li>
<li>Improve operational efficiency through automation and orchestration.</li>
</ul><div><ul><li>Governance, Compliance &amp; Reporting</li></ul>
</div><ul><li>Support regulatory and audit requirements.</li>
<li>Maintain SIEM documentation, runbooks, and standards.</li>
<li>Produce security metrics and executive reporting.</li>
<li>Ensure log retention and monitoring practices meet compliance requirements.</li>
</ul>
Required Qualifications

Experience
<ul>
<li>5+ years of cybersecurity experience.</li>
<li>3+ years managing and engineering SIEM platforms.</li>
<li>Experience supporting SOC operations and incident response.</li>
<li>Experience in financial services or regulated industries preferred.</li>
</ul>
Technical Skills
<ul>
<li>Expertise in platforms such as:</li>
<li><ul><li>Microsoft Sentinel</li>
<li>Splunk</li>
<li>QRadar</li>
<li>LogRhythm</li>
<li>Elastic Security</li>
<li>CrowdStrike NG-SIEM</li>
<li>Cribl</li>
</ul></li><li>Strong knowledge of:</li>
<li><ul><li>Windows and Linux security logs</li>
<li>Network security monitoring</li>
<li>EDR/XDR technologies</li>
<li>Threat hunting methodologies</li>
<li>MITRE ATT&amp;CK framework</li>
<li>Data ingestion pipelines</li>
</ul></li><li>Scripting experience:</li>
<li><ul><li>KQL</li>
<li>PowerShell</li>
<li>Python</li>
<li>SQL</li>
</ul></li>
</ul>Security Knowledge
<ul>
<li>Log management and event correlation.</li>
<li>Detection engineering.</li>
<li>Threat intelligence.</li>
<li>Incident response processes.</li>
<li>Vulnerability management concepts.</li>
<li>Zero Trust security principles.</li></ul> 


Preferred Certifications
<ul>
<li>Microsoft Certified: Security Operations Analyst (SC-200)</li>
<li>Microsoft Sentinel Specialty</li>
<li>Splunk Enterprise Security Certified Admin</li>
<li>GIAC Certified Incident Handler (GCIH)</li>
<li>GIAC Certified Intrusion Analyst (GCIA)</li>
<li>CISSP</li>
</ul>
Compensation 
The expected annual salary for this position is between $140,000 and $160,000 at the start of employment. A salary offer is determined on an individualized basis, taking into consideration factors such as an individual's skills and experience. In addition to base salary, our total rewards package also includes eligibility for an annual bonus, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement. 
Additional Information 
The Bank Will Make Reasonable Accommodations To The Following Employees To Allow Them To Perform The Essential Functions Of Their Position, Except Where Doing So Would Result In Undue Hardship To The Bank
<ul>
<li>Those with a known mental or physical disability.</li>
<li>Pregnant individuals and/or individuals with pregnancy or childbirth-related medical conditions.</li>
<li>Victims of domestic violence, sex offenses or stalking.</li>
<li>Employees with religious observance and practice obligations.</li>
</ul>
Any employee who believes he or she needs an accommodation for any of the above reasons should contact their supervisor or a member of Human Resources to request such an accommodation. In each case, the Bank will engage in a good faith written or oral dialogue concerning the individual's accommodation needs; potential accommodations that may address the individual's accommodation needs, including alternatives to a requested accommodation; and the difficulties that such potential accommodations may pose for the employer. 
The Bank retains the ultimate discretion to choose the appropriate reasonable accommodation. Upon reaching a final determination at the conclusion of the cooperative dialogue, the Bank will provide the requesting individual with a written final determination identifying any accommodation granted or denied. In addition, the Bank will maintain any information regarding the employee's request and status in the strictest confidence, except as requested by the employee, as required on a need-to-know basis or as otherwise required by law. 
Disclaimer 
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. 
All your information will be kept confidential according to EEO guidelines. 
We are operating on a Hybrid schedule. 
NO AGENCIES PLEASE. 
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Kindly review our Privacy Notice and GLBA Consumer Privacy Notice.<div> 
Kindly review our Privacy Notice and GLBA Consumer Privacy Notice.</div></div>

SIEM Engineer

Vistar Media

<div>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
 
 
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together. 
 
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.<ul><li>
Job Responsibilities:<ul><li>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</li><li>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</li><li>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</li><li>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</li><li>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</li><li>
Also responsible for other duties/projects as assigned by business management as needed</li></ul> 
Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</li><li>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</li><li>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</li><li>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</li><li>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</li><li>
Familiarity with DevOps practices and tools for DataOps.</li><li>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</li><li>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</li></ul></li></ul>
Base Pay Range: $105,100 - $189,600<div></div> 
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<div></div> 
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</div>

Senior Data Engineer, Big Data and Cloud

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>3 years of experience testing, maintaining, or launching software products.</li>
<li>1 year of experience with software design and architecture.</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write and test product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML GenAI, Google Cloud

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