artificial intelligence 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

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of coding experience in one or more of the following languages: C, C++, Java, or Python.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 
</li>
<li>3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.</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>Experience in cloud computing, including one or more of the following: public, private cloud, compute, storage, networking, software, platform/infrastructure-as-a-service.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

In this role, you will drive the future of flash storage at Google. You will work on projects, designing and implementing advanced scheduling algorithms for improved user isolation and QoS, micro-optimizing server code for ultra-low latency. You will be responsible for enhancing data integrity through advanced error detection, collaborating with platform teams on design and qualification of new solid-state drive (SSD) hardware, and developing innovative technologies like SmartFTL and write amplification (WAF) reduction techniques.
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>Participate in, or lead, design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Enhance the performance, efficiency, and reliability of Google's core flash storage.</li>
<li>Enable adoption of new SSD technologies to reduce costs and improve capabilities.</li>
<li>Influence future storage hardware designs.</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, Google Cloud Storage

<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

Law360

<div>Law360, a LexisNexis company, is an online newswire for business lawyers that covers major litigation, transactions, and regulatory issues. Founded in 2004 and acquired by LexisNexis in 2012, Law360 is a cutting-edge organization and one of the fastest-growing subscription news services in the U.S. Our subscribers include the largest law firms in the U.S. and around the world, in-house counsel at major corporations, and key decision-makers in the government sector. 
Are you excited to break news on the technologies transforming the legal industry?
Do you enjoy uncovering stories, identifying emerging trends, and delivering insightful journalism on artificial intelligence and legal innovation?
About our Team
Law360&reg; provides breaking legal news and analysis on the most important topics legal professionals, business leaders and regulators need to stay on top of issues, safeguard clients and sharpen their competitive edge. The award-winning journalism of Law360 keeps readers connected to the latest, most essential news and insights across 70+ practice areas, industries and jurisdictions, including federal litigation, business deals, mergers &amp; acquisitions, security and more. Law360, which serves more than 2.7 million readers every day, is owned by LexisNexis Legal &amp; Professional&reg; and part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role
This role can be performed in Atlanta, Chicago, New York, Philadelphia, or Washington, DC.
Law360 is seeking a senior reporter to cover the adoption of legal technology and artificial intelligence across law firms, courts and regulators.
We are looking for an ambitious journalist who thrives on breaking news, spotting emerging trends, and delivering insightful coverage that explains how technology is reshaping the business and practice of law. The ideal candidate is equally comfortable filing quick-turn stories on major developments in the legal industry and producing deeply reported features and enterprise pieces that put those developments into context.
This reporter will cover one of the most consequential shifts facing the legal industry: the rise of generative AI and the broader transformation of legal services through technology. They should be curious about how AI tools are being adopted, how the technology works, the successes and failures, and what these changes mean for lawyers, clients, courts, regulators, and the economics of the legal profession.
The reporter is expected to cultivate a network of sources across the legal tech ecosystem, including law firm leaders, startup founders, investors, consultants, academics, and regulators. Candidates should have strong news judgment, a proven ability to generate scoops, familiarity with technology, and the confidence to chase exclusive reporting in a competitive environment.
The successful candidate will also be able to translate complex technical concepts into clear, compelling journalism for a sophisticated legal audience. They should have strong writing skills and a demonstrated ability to move seamlessly between breaking news, analysis, and longer-form feature stories.
Requirements
<ul><li>Possess at least five years of full-time, paid reporting experience
</li><li>Demonstrated reporting and writing skills
</li><li>Comprehensive understanding of the tech landscape, AI, SaaS and related topics
</li><li>Ability to generate own story ideas that are relevant and timely
</li><li>Experience working a beat
</li><li>Collaborative approach and desire to follow the news
</li><li>Ability to juggle daily news and longer-term features and enterprise reporting
</li></ul>Preferences
<ul><li>Experience covering the legal industry, including in-house legal departments, law firms, legal associations and regulators, legal technology and artificial intelligence
</li><li>Experience reporting for a professional audience
</li><li>Ability to generate scoops, write breaking news stories and deeper analytic pieces
</li><li>Ability and openness to regularly meeting with tech, law firm and other sources
</li></ul>Work in a way that works for you 
 
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, and study assistance, we will help you meet your immediate responsibilities and your long-term goals.
Working for you
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Health Benefits: Comprehensive program for medical, dental and vision benefits
</li><li>Retirement Benefits: 401(k) with match
</li><li>Wellbeing: Wellness platform with incentives, Employee Assistance and Time-off Programs
</li><li>Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
</li><li>Family Benefits, including bonding and family care leaves
</li><li>Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
</li><li>In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
</li></ul>About the Business
LexisNexis Legal &amp; Professional&reg; provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis&reg; and Nexis&reg; services.
Salary: $85,000/annually 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Legal Tech Reporter

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company&rsquo;s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users.
 
 
 We Are Hiring Data Scientists To Help Build The Analytical Foundations That Allow OpenAI To Deploy Increasingly Capable AI Responsibly. We Are Hiring Data Scientists Across Several Teams That Contribute To Safety In Different Ways, Including
 
 
 <ul>
 <li>
 Safety Systems
 </li>
 <li>
 Integrity
 </li>
 <li>
 Product Policy
 
 
 </li>
 </ul>
 This is a high-impact role operating at the intersection of product, safety, policy, and research.
 
 
 
 About The Role
 
 
 
 As a Data Scientist, Safety, you will help solve complex and ambiguous problems where rigorous analysis directly informs critical decisions.
 
 
 Depending on your background and team alignment, you may work on areas such as:
 
 
 <ul>
 <li>
 Measure harmful or abusive behavior across OpenAI&rsquo;s products
 </li>
 <li>
 Detect fraud, manipulation, coordinated misuse
 </li>
 <li>
 Evaluate and improve safety classifiers, rules systems, mitigation systems, and human review workflows
 </li>
 <li>
 Design experiments and causal analyses to understand product, policy, and mitigation impacts
 </li>
 <li>
 Build prevalence estimators, dashboards, monitoring systems, and executive decision frameworks
 </li>
 <li>
 Diagnose gaps in safety and integrity systems using behavioral and product data, and help quantify and navigate false positive / false negative tradeoffs
 </li>
 <li>
 Translate ambiguous safety risks into measurable problems and evidence-based recommendations
 </li>
 <li>
 Partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes
 </li>
 <li>
 Build zero-to-one analytical systems in rapidly evolving domains
 
 
 </li>
 </ul>
 
 Ideal Candidate
 
 
 
 We&rsquo;re looking for strong Data Scientists who thrive in ambiguous, high-leverage environments.
 
 
 
 You May Be a Fit If You Have
 
 
 
 <ul>
 <li>
 Strong statistical reasoning and analytical judgment
 </li>
 <li>
 Experience with experimentation, causal inference, or observational analysis
 </li>
 <li>
 Strong SQL and Python skills
 </li>
 <li>
 Experience working with messy, incomplete, or noisy datasets
 </li>
 <li>
 Ability to structure open-ended business or risk problems
 </li>
 <li>
 Excellent communication with technical and non-technical stakeholders
 </li>
 <li>
 High ownership and comfort operating independently
 
 
 </li>
 </ul>
 
 Helpful Backgrounds Include
 
 
 
 <ul>
 <li>
 Trust &amp; Safety / Integrity
 </li>
 <li>
 Fraud &amp; abuse
 </li>
 <li>
 Security analytics
 </li>
 <li>
 AI/ML model measurement and evaluation
 </li>
 <li>
 Alignment and AI safety research
 </li>
 <li>
 Biosecurity, synthetic biology, infectious diseases, or computational biology
 
 
 </li>
 </ul>
 
 Why This Role
 
 
 
 <ul>
 <li>
 Work on mission-critical problems with world-level impact
 </li>
 <li>
 Help shape how frontier AI systems are deployed safely
 </li>
 <li>
 Operate with unusual ownership and visibility
 </li>
 <li>
 Solve novel problems where there are no existing playbooks
 </li>
 <li>
 Join highly collaborative teams working across OpenAI
 
 
 </li>
 </ul>
 
 Location
 
 
 
 San Francisco or New York depending on team alignment and business need.
 
 
 
 Compensation Range
 
 : $230K - $325K USD
 
 
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $325K
 
 
</div>

Data Scientist, Safety

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. 
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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

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