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intelligence engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers&mdash;delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries.
 
 
Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)&mdash;collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity.
 
 
We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up&mdash;making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering&mdash;building robust, scalable infrastructure and data models&mdash;while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting&mdash;you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members.
 
 
Key job responsibilities 
<ul><li>Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
</li></ul> 
<ul><li>Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics
</li></ul> 
<ul><li>Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact)
</li></ul> 
<ul><li>Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
</li></ul> 
<ul><li>Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales
</li></ul> 
<ul><li>Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions
</li></ul> 
<ul><li>Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
</li></ul> 
<ul><li>Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization
</li></ul> 
<ul><li>Operate with a high bar for operational excellence&mdash;owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers
</li></ul> 
<ul><li>Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over
</li></ul> 
About the team 
You will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up&mdash;you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data.
 
 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>3+ years of in the job offered or a related occupation experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

Hospital for Special Surgery

<div>How you move is why we&rsquo;re here. &reg;
 
Now more than ever. 
 
Get back to what you need and love to do.
 
The possibilities are endless...
 
 
Now more than ever, our guiding principles are helping us in our search for exceptional talent - candidates who align with our unique workplace culture and who want to maximize the abundant opportunities for growth and success.
 
 
If this describes you then let&rsquo;s talk!
 
 
HSS is consistently among the top-ranked hospitals for orthopedics and rheumatology by U.S. News &amp; World Report. As a recipient of the Magnet Award for Nursing Excellence, HSS was the first hospital in New York City to receive the distinguished designation. Whether you are early in your career or an expert in your field, you will find HSS an innovative, supportive and inclusive environment. 
 
Working with colleagues who love what they do and are deeply committed to our Mission, you too can be part of our transformation across the enterprise.
Emp Status
Regular Full time
Work Shift
Compensation Range
The base pay scale for this position is $99,000.00 - $150,750.00. In addition, this position will be eligible for additional benefits consistent with the role. The salary of the finalist selected for this role will be determined based on various factors, including but not limited to: scope of role, level of experience, education, accomplishments, internal equity, budget, and subject to Fair Market Value evaluation. The hiring range listed is a good faith determination of potential compensation at the time of this job advertisement and may be modified in the future.
<h1 class="jobSectionHeader">What you will be doing
</h1>About Us
 
We are transforming musculoskeletal healthcare through intelligent, scalable data products. Our Enterprise Analytics team empowers clinicians, researchers, and operational leaders with timely, trusted insights. We operate in cross-functional Product-Oriented Delivery (POD) teams, using modern data platforms like Databricks and Sigma Computing to turn data into action.
 
We are seeking a Business Intelligence Developer (L2) to help build intuitive, high-impact data products in Sigma Computing and Databricks. You will be responsible for turning structured data into interactive, user-centered workbooks and apps that drive decision-making across clinical, financial, and operational domains.
The Role
You will be the technical builder of analytics experiences&mdash;designing and developing experiences that are performant, reusable, and aligned with real user needs. You&rsquo;ll work within a POD to deliver data products that go beyond static dashboards to become embedded tools in daily workflows.
Success in this role means building products that users adopt quickly, trust deeply, and rely on consistently&mdash;while adhering to enterprise standards for security, performance, and maintainability.
Key Responsibilities
<ul><li>Design, develop, and maintain production-grade workbooks in Sigma and Databricks that deliver actionable insights to stakeholders.
</li></ul><ul><li>Translate complex data models (from Databricks) into intuitive, performant visualizations with clear narratives.
</li></ul><ul><li>Write clean, well-documented formulas using Sigma&rsquo;s calculation engine (aggregations, conditionals, time-series logic).
</li></ul><ul><li>Ensure adherence to row-level security and access controls in alignment with HIPAA and data governance policies.
</li></ul><ul><li>Partner with Product Managers, Analytics Engineers, and Clinical Informaticists to refine requirements and validate outputs.
</li></ul><ul><li>Establish and follow BI development standards (e.g., consistent metrics, reusable components, version control).
</li></ul><ul><li>Identify opportunities to productize recurring analytics and reduce redundancy across the ecosystem.
</li></ul><ul><li>Participate in agile ceremonies as a core member of a POD&mdash;contributing to planning, reviews, and retrospectives.
</li></ul>Qualifications
Required
<ul><li>2+ years of experience in business intelligence or data visualization.
</li></ul><ul><li>Proven fluency in Sigma Computing &mdash;you&rsquo;ve built complex, production-grade workbooks from scratch.
</li></ul><ul><li>Strong understanding of relational data models and SQL (you can debug query logic when needed).
</li></ul><ul><li>Experience working in agile, cross-functional teams (e.g., product, engineering, clinical).
</li></ul><ul><li>Familiarity with cloud data platforms (AWS, Databricks, etc.).
</li></ul><ul><li>Demonstrated ability to work independently, prioritize tasks, and deliver iteratively.
</li></ul><ul><li>Solid understanding of data governance, including data quality, access control, and documentation.
</li></ul>Preferred
<ul><li>Experience in healthcare analytics (clinical, financial, or operational).
</li></ul><ul><li>Experience with migrating legacy dashboards to Sigma or similar modern tools.
</li></ul><ul><li>Background in product thinking &mdash;you&rsquo;ve helped define what to build, not just how to build it.
</li></ul><ul><li>Experience setting BI best practices or leading standards in a prior role.
</li></ul>Why Join Us?
<ul><li>Be a key contributor to the evolution of our analytics platform&mdash;from reporting to productized insights.
</li></ul><ul><li>Work in a mission-driven environment focused on improving musculoskeletal care.
</li></ul><ul><li>Collaborate with experts in data engineering, clinical informatics, and product management.
</li></ul><ul><li>Grow into a leadership role shaping the future of BI and data applications at scale.
</li></ul>Non-Discrimination Policy
 
Hospital for Special Surgery is committed to providing high quality care and skilled, compassionate, reliable service to our community in a safe and healing environment. Consistent with this commitment, Hospital for Special Surgery provides care, admits, and treats patients and provides all services without regard to age, race, color, creed, ethnicity, religion, national origin, culture, language, physical or mental disability, socioeconomic status, veteran or military status, marital status, sex, sexual orientation, gender identity or expression, or any other basis prohibited by federal, state, or local law or by accreditation standards.</div>

Business Intelligence Developer

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

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. 
IDB BANK, INCLUDING ITS SUBSIDIARIES AND DIVISIONS, PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, NATIONAL ORIGIN, AGE, DISABILITY, GENETIC STATUS, CITIZENSHIP STATUS, MARITAL STATUS, MILITARY OR VETERAN STATUS, CURRENT UNEMPLOYMENT OR ANY OTHER LEGALLY PROTECTED CATEGORY IN ACCORDANCE WITH APPLICABLE FEDERAL, STATE AND LOCAL LAW. NOTHING IN THIS SITE CONSTITUTES A PROMISE OR OFFER OF EMPLOYMENT. 
Kindly review our Privacy Notice and GLBA Consumer Privacy Notice. 
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

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Generative artificial intelligence is transforming how we build products, serve clients, and operate at scale. In the Chief Data and Analytics Office, you will help turn advanced models into dependable, secure, and high-performing production services. You will work with partners across machine learning, cloud engineering, and site reliability engineering to deliver solutions with clear return on investment. If you enjoy hands-on engineering, real-world constraints, and high-impact delivery, this role is for you.
As a Senior Associate, Generative AI Engineer in the Chief Data and Analytics Office, you will help design, build, and support production generative artificial intelligence products and reusable backend application programming interfaces used across the firm. You will combine large enterprise datasets with large language and multimodal models to deliver scalable, measurable solutions. You will collaborate closely with machine learning, cloud engineering, and site reliability engineering partners to ensure reliability, performance, and strong operational controls. You will contribute to technical design decisions, delivery planning, and continuous improvement of our platforms and products.
Job responsibilities
<ul><li>Build and operate production generative artificial intelligence services and reusable backend application programming interfaces for firmwide use</li>
<li>Combine enterprise data assets with large language and multimodal models to deliver high-quality user experiences</li>
<li>Design scalable architectures with clear interfaces and separation of concerns to enable broader developer adoption</li>
<li>Implement batch and real-time processing patterns to support high-throughput, low-latency use cases</li>
<li>Collaborate with cloud engineering and site reliability engineering partners to deliver resilient, observable systems</li>
<li>Translate research concepts into production-ready software through experimentation, evaluation, and iterative hardening</li>
<li>Optimize system performance, scalability, and cost across inference, storage, and compute</li>
<li>Define and track measurable outcomes, including objectives and key results aligned to business needs</li>
<li>Ensure responsible artificial intelligence practices, controls, and governance are embedded into delivery and operations</li>
<li>Troubleshoot production issues, drive root-cause analysis, and implement preventative improvements</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or equivalent practical experience</li>
<li>3+ years of experience as an individual contributor in machine learning engineering or applied machine learning software engineering</li>
<li>Demonstrated experience delivering production machine learning services in an enterprise environment, including being accountable for service health</li>
<li>Strong fundamentals in statistics, optimization, and machine learning theory with applied depth in natural language processing and/or computer vision</li>
<li>Hands-on experience building distributed, multi-threaded, and scalable systems (for example Ray, Horovod, or DeepSpeed)</li>
<li>Strong software engineering fundamentals, including data structures, algorithms, and software development lifecycle best practices</li>
<li>Experience designing and delivering service-oriented systems and application programming interfaces with scalability and performance requirements</li>
<li>Ability to define success metrics and write clear objectives and key results aligned to business expectations</li>
<li>Strong problem-framing skills to align machine learning solutions to business objectives and constraints</li>
<li>Excellent communication skills with the ability to influence and build trust across technical and non-technical stakeholders</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience designing and implementing pipeline workflows using directed acyclic graph frameworks (for example Kubeflow, DVC, or Ray)</li>
<li>Experience building batch and streaming microservices exposed via gRPC and/or GraphQL</li>
<li>Demonstrable experience with parameter-efficient fine-tuning, quantization, and quantization-aware fine-tuning for large language models</li>
<li>Experience with advanced prompting strategies such as chain-of-thought, tree-of-thought, or graph-of-thought approaches</li>
<li>Experience with multimodal large language model use cases (text plus image, speech, or video)</li>
<li>Experience partnering closely with cloud engineering and site reliability engineering teams on production readiness and operations</li>
<li>Experience measuring and improving model quality using offline evaluation and production monitoring</li>
</ul>#LI-RB3
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Generative AI - Senior Associate

City of New York

<div>
 DCAS's mission is to make city government work for all New Yorkers. From managing New York City's most iconic courthouses and municipal buildings, to purchasing over $1 billion annually in goods and services for more than 80 City agencies. What we do ensures that all agencies can deliver on their mission. Our reach
 
 
 Touches Every Facet Of City Government And Is Instrumental To The Successful Day-to-day Operations Of The City Of New York. Our Commitment To Equity, Effectiveness, And Sustainability Guides Our Work Providing City Agencies With The Critical Resources And Support Needed To Succeed, Including
 
 
 <ul>
 <li>
 Recruiting, hiring, and training City employees.
 </li>
 <li>
 Managing 56 public buildings.
 </li>
 <li>
 Acquiring, selling, and leasing City property.
 </li>
 <li>
 Purchasing over $1 billion in goods and services for City agencies.
 </li>
 <li>
 Overseeing the greenest municipal vehicle fleet in the country.
 </li>
 <li>
 Leading the City's efforts to reduce carbon emissions from government operations.
 
 
 </li>
 </ul>
 When you work at DCAS, you're not just working for one agency, but in service to all of them. It's an opportunity to provide meaningful support, quality customer service, and help protect the future of New York City for generations to come. Visit our website at NYC.GOV/DCAS to learn more about the work we do.
 
 
 DCAS Information Technology works in conjunction with the NYC Office of Technology and Innovation (OTI) on the daily management and support of the DCAS computer network. DCAS IT team members are responsible for the agencies software and hardware needs, the development and maintenance of applications, maintenance of the DCAS internet and intranet (DCASConnect) sites, the DCAS Help Desk, telecommunications services and equipment for DCAS employees, and the Cyber Security program to thwart any attempts at unauthorized access to the network
 
 
 The Infrastructure Engineer reports directly to the agency Chief Information Security Officer (CISO), responsible for protecting, monitoring, and enhancing the infrastructure and security posture of NYC Department of Citywide Administrative Services information systems, applications, networks, and cloud environments. The position combines advanced incident response, digital forensics, threat detection, vulnerability management, cybersecurity analytics, governance, risk and compliance (GRC), and security operations functions. The role serves as a technical escalation point for cybersecurity incidents, supports enterprise security initiatives, conducts cybersecurity assessments and audits, develops policies and procedures, and collaborates with City agencies, vendors, and stakeholders to improve cyber resilience and operational security.
 
 
 <ul>
 <li>
 Assist the Agency CISO in ensuring cybersecurity-related change management and CI/CD processes align with NIST separation of duties requirements.
 </li>
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 Support the CISO with agency cyber awareness training, security onboarding and readiness assurance, and knowledge transfer for cloud-based applications.
 </li>
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 Lead and coordinate cybersecurity incident response, digital forensics, malware analysis, threat hunting, containment, eradication, recovery, and post-incident activities.
 </li>
 <li>
 Monitor and analyze security events, alerts, logs, and threat intelligence using SIEM, endpoint protection, cloud security, and monitoring platforms.
 </li>
 <li>
 Perform vulnerability assessments, risk analyses, remediation tracking, validation testing, and reporting across infrastructure, applications, cloud environments, and endpoints.
 </li>
 <li>
 Conduct cybersecurity audits, control assessments, risk reviews, and compliance evaluations aligned with NIST CSF, NIST SP 800-53, CIS Controls, Zero Trust principles, and Citywide cybersecurity policies.
 </li>
 <li>
 Develop and maintain cybersecurity policies, standards, procedures, playbooks, incident response plans, and operational documentation.
 </li>
 <li>
 Support Identity and Access Management (IAM) operations, including SSO, MFA, RBAC, access reviews, provisioning, deprovisioning, and privileged access governance.
 </li>
 <li>
 Analyze cybersecurity metrics, trends, vulnerabilities, incidents, and operational performance indicators; develop executive-level reports and recommendations.
 </li>
 <li>
 Partner with internal technology teams, application owners, vendors, City agencies, and external partners to improve cybersecurity capabilities and remediation outcomes.
 </li>
 <li>
 Support cloud security reviews, application security assessments, secure application onboarding, and software security initiatives.
 </li>
 <li>
 Provide technical leadership, mentoring, and guidance to junior cybersecurity staff and cross-functional stakeholders.
 </li>
 <li>
 Assist with audit readiness, evidence collection, regulatory compliance activities, and cybersecurity governance initiatives.
 </li>
 <li>
 Research emerging threats, technologies, attack techniques, and industry best practices to strengthen defensive capabilities.
 
 
 </li>
 </ul>
 
 To Apply
 
 
 
 Please go to www.nyc.gov/jobs, or www.nyc.gov/ess for current NYC employees, and search for Job ID #788324.
 
 
 No phone calls, faxes or personal inquiries permitted. Only those candidates under consideration will be contacted.
 
 
 IT INFRASTRUCTURE ENGINEER - 95714
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
 </li>
 <li>
 A baccalaureate degree from an accredited college and eight years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or,
 </li>
 <li>
 Education and/or experience which is equivalent to "1" or "2" above.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 The preferred candidate will bring the following skills and experience to this position. - Experience with Qualys, Wiz, Rapid7, Veracode, HCL AppScan, Snyk, CrowdStrike, Microsoft Defender, SolarWinds SEM, ServiceNow, Jira, GitHub Enterprise Copilot Security, GitHub Copilot, BitSight, Security Scorecard, Shodan, or similar platforms. - Experience supporting Microsoft Entra ID (Azure AD), SAML 2.0, OAuth 2.0, OpenID Connect, Conditional Access, MFA, RBAC, and enterprise identity governance. - Experienced SaaS Security Support for Air Table, Miro, Canva, SurveyMonkey and similar Enterprise cloud-based applications. - Digital forensics, malware analysis, threat hunting, SIEM operations, threat. - Knowledge of digital forensics, malware analysis, threat hunting, SIEM operations, threat intelligence, and incident response methodologies. - Experience conducting cybersecurity audits, GRC assessments, risk reviews, and control testing. - Experience analyzing large datasets, cybersecurity metrics, trends, KPIs, and operational performance indicators. - Strong understanding of cloud security principles and enterprise application security. - Excellent written, verbal, presentation, and stakeholder management skills. - Ability to work independently, manage multiple priorities, providing technical leadership. - Industry certifications such as Microsoft Security and Compliance SC-900, Azure AZ-900, AWS Cloud Practitioner, Security+, CySA+, GCIH, GCFA, CISSP, CISM, CEH, or comparable. - Experience supporting public-sector, regulated, or large enterprise environments.
 
 
 Public Service Loan Forgiveness
 
 
 As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.
 
 
 Residency Requirement
 
 
 New York City Residency is not required for this position
 
 
 Additional Information
 
 
 The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
 
 
 , $115,000.00 &ndash; $141,180.00
</div>

Cyber Security Analyst

Fried, Frank, Harris, Shriver & Jacobson LLP

<div>At Fried Frank, we're a community of 800 lawyers and 500 business services professionals across New York, Washington, DC, London, Frankfurt, and Brussels. We advise leading corporations, investment funds, and financial institutions on high-stakes M&amp;A, securities, regulatory matters, real estate, and litigation. Our culture is grounded in our core values &mdash; excellence, integrity and collaboration &mdash; and is designed to foster continuous learning, meaningful mentorship, and lasting professional growth. We are firmly committed to pro bono service and social justice, building on a proud legacy in civil rights. Our inclusive talent strategy is a core part of our broader talent management efforts and we remain steadfast in fostering a workplace where everyone has the opportunity to grow, thrive, and become their best professional and personal selves. Our business services professionals are integral to the firm's success, driving innovation, operational excellence and exceptional client service across all areas of the firm. We offer competitive compensation and a comprehensive benefits package, including comprehensive medical coverage, retirement plans and health and wellness initiatives designed to support your personal and professional wellbeing. We welcome passionate, driven individuals to join us, and be part of a team where you'll be supported, inspired and empowered to build an exceptional career.

Position Summary:
The Director of Research &amp; Intelligence provides strategic leadership and operational oversight for the Firm's Research &amp; Intelligence function across two interconnected pillars: Research Services, encompassing collection development, research and information retrieval, digital content, workflow management, and budget administration; and Intelligence, comprising Knowledge Management and Business Intelligence &mdash; including stewardship of the Foundation platform and the development of BI capabilities that surface actionable insight across the business.

A defining priority of this role is leading the Firm's strategic adoption of AI-powered research and intelligence tools in collaboration with Innovation Operations, Knowledge &amp; Innovation, and Legal Solutions &amp; Engineering. The ideal candidate brings deep expertise in library and research systems, knowledge management, and data analytics, with proven director-level leadership, a strong command of the evolving legal technology landscape, and a collaborative, innovation-driven mindset.

Job Responsibilities:
<ul>
<li>Build and lead a high-performing team of managers, researchers, and business intelligence analysts, setting performance and professional development objectives to align capacity and capabilities with the Firm and department's strategic priorities.</li>
</ul>
Research Services:
<ul>
<li>Develop the strategy and oversee the management of operational systems including ServiceNow, ResearchHub, Research Monitor, and the Integrated Library System.</li>
<li>Modernize and streamline expense management and financial reporting, leveraging SpendConnect and other technology-driven solutions.</li>
<li>Provide strategic direction for reference, research, and collection services aligned with client and practice group needs.</li>
<li>Lead the design and implementation of automated workflows to deliver current awareness resources for client news and market developments.</li>
<li>Oversee management of Intranet content to promote awareness, adoption, and effective use of research tools and resources.</li>
<li>Lead the evaluation, implementation, and optimization of AI-powered legal research platforms</li>
<li>Design and deliver training programs on AI research tools, best practices, and prompt engineering techniques tailored to legal research workflows.</li>
<li>Establish and maintain quality control frameworks governing AI-assisted research to uphold accuracy and professional standards.</li>
<li>Manage strategic vendor relationships and accounts, leading negotiation, monitoring compliance with contractual terms, and tracking utilization to inform renewal decisions.</li>
</ul>
Intelligence:
<ul>
<li>Set the strategic direction for knowledge management operations in close collaboration with K&amp;I Counsel and Practice Group leadership, ensuring the effective capture, organization, and deployment of firm knowledge at scale.</li>
<li>Drive knowledge-sharing initiatives and facilitate adoption of new and existing KM resources across the Firm.</li>
<li>Lead the development and execution of the Firm's Business Intelligence program, building actionable knowledge about the Firm's industries, clients, matters, and documents.</li>
<li>Serve as the primary owner and administrator of the Foundation platform, ensuring the consistent, high-quality capture of firm expertise, attorney knowledge, and matter experience.</li>
<li>Design and deliver BI products and intelligence reports &mdash; including industry briefings, client profiles, competitive intelligence, and matter analytics &mdash; that equip attorneys and leadership with strategic insight.</li>
<li>Partner with Innovation, IT, and practice group leadership to integrate BI capabilities into attorney workflows, pitches, client development, and strategic planning.</li>
<li>Evaluate and implement BI technologies and data analytics tools that advance the Firm's intelligence capabilities.</li>
<li>Partner with Legal and AI Engineering teams to design a data strategy for R&amp;D purposes.</li>
</ul>
Job Specifications:

Education: M.L.S. strongly preferred

Experience:
<ul>
<li>A minimum of 8&ndash;10 years of progressive law firm library, research, or knowledge management experience, including at least 3 years in a leadership or management role.</li>
<li>Exceptional communication, client service, and interpersonal skills, with the ability to engage effectively with attorneys and staff at all levels; strong judgment, project management skills, and the ability to work independently and collaboratively.</li>
<li>Proven ability to lead, supervise, and develop cross-functional teams across research, KM, and BI disciplines, with a high degree of integrity, adaptability, and self-motivation.</li>
<li>Deep knowledge of legal research sources and methodology; proficiency with legal research databases (Lexis, Westlaw, Bloomberg, VitalLaw), library management software, KM platforms, BI applications, integrated library systems, and Microsoft Office suite including SharePoint and Teams.</li>
<li>Experience with prompt engineering, AI-assisted research workflows, and emerging AI-powered platforms including Harvey, Legora, Prot&eacute;g&eacute;, and CoCounsel; familiarity with AI vendor evaluation, implementation roadmaps, and change management for technology adoption.</li>
<li>Deep understanding of AI, knowledge management, and business intelligence methodologies with the ability to connect these disciplines into a coherent intelligence strategy; experience designing or scaling BI or competitive intelligence programs, and familiarity with knowledge graph, taxonomy, and metadata frameworks.</li></ul></div>

Director of Research and Intelligence

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