cloud software engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</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.<br>
</li>
<li>3 years of experience with developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></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"><b>About the job</b></h2><p>
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.</p>
<p>
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.</p><p>
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.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></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

Cerberus Capital Management

<div>
 <p>
  Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
  <u>
   www.cerberus.com
  </u>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
  </li>
  <li>
   Develop and maintain RESTful APIs; integrate with internal and external systems
  </li>
  <li>
   Implement distributed systems and clean design principles for scalable, high-performance applications
  </li>
  <li>
   Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
  </li>
  <li>
   Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
  </li>
  <li>
   Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
  </li>
  <li>
   Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
  </li>
  <li>
   Monitor and optimize application performance across the full stack
  </li>
  <li>
   Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
  </li>
  <li>
   Work with SQL and related technologies to design efficient queries and manage large datasets
  </li>
  <li>
   Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
  </li>
  <li>
   Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
  </li>
  <li>
   Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
  </li>
  <li>
   Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Articulate communicator who brings creativity to complex problem-solving skills
  </li>
  <li>
   Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
  </li>
  <li>
   Proven full-stack experience in API and web application development
  </li>
  <li>
   Hands-on experience identifying and addressing security vulnerabilities leveraging AI
  </li>
  <li>
   Strong knowledge of distributed systems and clean architecture principles
  </li>
  <li>
   Familiarity with Generative AI and passion for leveraging AI tools in SDLC
  </li>
  <li>
   Experience designing systems, Azure (or other cloud providers), and SQL
  </li>
  <li>
   Demonstrated ability to lead projects end-to-end with accountability for quality
  </li>
  <li>
   Ability to work independently and within cross-functional teams.
  </li>
  <li>
   Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <p>
  &middot; Experience with Agile methodologies
 </p>
 <p>
  &middot; Proficiency in Python; C# experience is a plus.
 </p>
 <p>
  &middot; Applied AI experience in engineering workflows or business-facing solutions
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
 </p>
 <p>
  The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 </p>
</div>


Associate, Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Cobranded Cards Team, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p><p><b>
Job responsibilities</b></p><div><div><ul><li><div>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
</div></li></ul></div><div><ul><li><div>Develops secure and high-quality production code, and reviews and debugs code written by others&mdash;leveraging AI-assisted development tools (e.g., LLM-based code generation, automated debugging, test synthesis) to accelerate delivery without sacrificing quality.
</div></li></ul></div><div><ul><li><div>Drives decisions that influence product design, application functionality, and technical operations and processes.
</div></li></ul></div><div><ul><li><div>Designs, builds, and maintains internal tooling and developer platforms that measurably improve engineering productivity, observability, and operational efficiency across teams.
</div></li></ul></div><div><ul><li><div>Serves as a function-wide subject matter expert in one or more areas of focus, including the practical and responsible application of AI/ML techniques in software engineering workflows.
</div></li></ul></div><div><ul><li><div>Owns and operates systems that run 24x7 at high traffic scale&mdash;including on-call responsibilities, incident response, and post-mortem analysis&mdash;with a strong bias toward proactive reliability improvements over reactive firefighting.
</div></li></ul></div><div><ul><li><div>Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
</div></li></ul></div><div><ul><li><div>Influences peers and project decision-makers to consider the use and application of leading-edge technologies, including emerging AI tooling and automation strategies.
</div></li></ul></div><div><ul><li><div>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
</div></li></ul></div><div><ul><li><div>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
</div></li></ul></div></div><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years of applied experience.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability.</li><li>
Advanced in the Java programming language and associated ecosystem.</li><li>
Demonstrated AI fluency: ability to effectively use AI coding assistants, prompt engineering, and LLM-based tools to write, review, and debug production code&mdash;and the judgment to validate, refactor, and take ownership of AI-generated output.</li><li>
Experience designing and shipping internal developer tools, CLIs, dashboards, or platforms that improve team velocity or system visibility.</li><li>
Proven track record operating and improving systems with strict uptime requirements (99.9%+ uptime), high request volumes (hundreds of TPS), and complex failure modes&mdash;including experience with SLOs, alerting, capacity planning, and graceful degradation.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, distributed systems, etc.).</li><li>
Ability to tackle design and functionality problems independently with little to no oversight.</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
</li></ul><p></p><div><b>Preferred qualifications, capabilities, and skills</b></div><ul><li>
Experience with banking and credit card ecosystems
</li><li>AWS Certification</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<p>Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
</p><p></p><p>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.
</p><p></p><p>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.</p>
<p></p><p>Equal Opportunity Employer/Disability/Veterans</p><br>
<br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Sr Lead Software Engineer:Java/AI

The Museum of Modern Art

<div><p>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
<p><b>Reports to:</b> Director of Engineering</p>
<p><b>
Salary Range:</b> Minimum of $140,000 to a maximum of $160,000 per annum</p>
<p><b>
Application instructions: </b>To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.</p>
<p><i>
Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).</i></p><p>
Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

Senior Data Engineer

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
 <br/>
 <br/>
 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
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 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
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <ul>
  <li>
   Assist the Agency CISO in ensuring cybersecurity-related change management and CI/CD processes align with NIST separation of duties requirements.
  </li>
  <li>
   Support the CISO with agency cyber awareness training, security onboarding and readiness assurance, and knowledge transfer for cloud-based applications.
  </li>
  <li>
   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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  To Apply
  <br/>
  <br/>
 </strong>
 Please go to www.nyc.gov/jobs, or www.nyc.gov/ess for current NYC employees, and search for Job ID #788324.
 <br/>
 <br/>
 No phone calls, faxes or personal inquiries permitted. Only those candidates under consideration will be contacted.
 <br/>
 <br/>
 IT INFRASTRUCTURE ENGINEER - 95714
 <br/>
 <br/>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Public Service Loan Forgiveness
 <br/>
 <br/>
 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/.
 <br/>
 <br/>
 Residency Requirement
 <br/>
 <br/>
 New York City Residency is not required for this position
 <br/>
 <br/>
 Additional Information
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 , $115,000.00 &ndash; $141,180.00
</div>


Cyber Security Analyst

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</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><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
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.</p>
<p>
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.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</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,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</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.<br>
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.<br>
</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

Butterfly Network

<div><h2 class="jobSectionHeader"><b>Company Description</b></h2>
<p>
Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip&trade; semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market &ndash; commercializing the world's first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3&trade;. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI&trade;) and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden&trade;, its software development kit and AI partnership initiative.</p>
<p>
In addition to its medical imaging products, Butterfly Embedded&trade; is the Company's Ultrasound-on-Chip&trade; licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded&trade;, partners can build and scale novel ultrasound applications powered by Butterfly's proprietary semiconductor chip and software platform. Butterfly's innovations have been recognized by Prix Galien USA, Fierce 50, TIME's Best Inventions and Fast Company's World Changing Ideas, among other achievements.</p>
<p>
We're a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let's build something extraordinary together!</p>
<h2 class="jobSectionHeader"><b>
Job Description</b></h2>
<p>
We're looking for a Staff Site Reliability Engineer to raise the bar for how we observe and operate our production cloud platform. Our cloud platform powers clinical workflows on top of one of the largest ultrasound image repositories in the world. In this role you'll be a hands-on technical contributor who leads by execution.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Own observability end to end. Evolve and streamline our metrics, logs, and distributed-tracing strategy. Building telemetry standards that give every team a clear, real-time picture of production health</li>
<li>Drive reliability through SLOs. Establish meaningful service-level objectives with product and engineering teams, and use error budgets to balance velocity against stability.</li>
<li>Lead incident response. Help set the standards for our incident response feedback loop. Manage the on-call rotations for production systems, respond to incidents with calm and rigor, manage blameless postmortems &ndash; then systematically reduce toil.</li>
<li>Engineer for reliability. Operate and improve our Kubernetes/EKS workloads on AWS. Build automation and tooling that removes manual operational work and improves developer productivity.</li>
<li>Be a force multiplier. Mentor engineers on operational excellence, set standards for how services are built to be observable and reliable, and influence architecture decisions across teams.</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
<p>
Baseline skills/experiences/attributes:</p>
<ul>
<li>8+ years of managing production systems</li>
<li>Deep, hands-on production experience with AWS and Kubernetes</li>
<li>Strong programming/scripting skills and experience building operational automation</li>
<li>Proven ownership of a full stack observability platform (NewRelic/Datadog/etc)</li>
<li>A track record of leading incident response and delivering improvements in reliability</li>
<li>Clear written and verbal communication skills</li>
<li>Strong desire for being a mentor to others</li>
</ul>
<p>Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):</p>
<ul>
<li>Background operating in a highly regulated or compliance-sensitive environment (e.g., HIPAA, SOC 2, FedRAMP, SaMD, etc).</li>
<li>Background in technical Healthcare Protocols (DICOM, HL7, FHIR) and systems integrations (PACS, VNA, EMR, etc)</li>
</ul><h2 class="jobSectionHeader"><b>Values</b></h2>
<p>
Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in&hellip;</p>
<ul>
<li>Patient-Centric Innovators: Our mission is THE mission.</li>
<li>Empowered to Impact: Every voice matters.</li>
<li>One Team, One Goal: Unity fuels progress.</li>
<li>Growth Champions: We embrace challenges.</li>
<li>Action-Oriented Achievers: We follow through, every time.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
Location</b></h2>
<p>
Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.</p>
<p>
This is a hybrid position (2 - 3 days a week in office) and will be based out of our office in New York City, NY.</p><br>
<h2 class="jobSectionHeader"><b>
Benefits and Perks</b></h2>
<ul><li>Comprehensive health insurance, encompassing dental and vision coverage, is provided to all our employees. As a health-tech company, we prioritize the well-being of our teams. We also contribute to Health Savings Account (HSA) accounts for all enrolled employees on an annual basis.</li>
<li>Comprehensive Employee Assistance Program - we provide access to tools and resources to support your emotional health and day-to-day needs.</li>
<li>401k plan and match - we facilitate your retirement goals.</li>
<li>Eligible employees will have the opportunity to participate in Employee Stock Purchase Plan (ESPP)</li>
<li>Unlimited Paid Time Off + 10 Holiday Days a Year - recharge and come back ready to make an impact</li>
<li>Parental Leave - we aim to provide our employees with time to bond with their growing family, along with additional support for primary caregivers to help transition back to work</li>
<li>Competitive salaried compensation - we value our employees and show it</li>
<li>Equity - we want every employee to be a stakeholder</li>
<li>The opportunity to build a revolutionary healthcare product and save millions of lives!</li></ul><br>
<p></p>
<p><b>
Compensation</b></p>
<p>
Our estimated salary for this role based in NYC is around $190,000 - $210,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience and market demand.</p><p></p><p><b><br>
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.</b></p>
<p>
Butterfly Network does not accept agency resumes.</p>
<p>
Butterfly Network is an E-Verify Company.</p>
<p>
Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.</p>
<p>
Butterfly requires security adherence responsibilities from all employees. These include: adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedur</p><br>
<p></p>
<p>
#LI-KG</p>
<p>
#KG-LI</p></div><p></p>

Staff , Site Reliability Engineer - Cloud Platform

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