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site reliability engineer

Butterfly Network

<div><h2 class="jobSectionHeader">Company Description</h2>

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.

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.

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!
<h2 class="jobSectionHeader">
Job Description</h2>

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.
<h2 class="jobSectionHeader">
What you'll do</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">Qualifications</h2>

Baseline skills/experiences/attributes:
<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>
Ideally, you also have these skills/experiences/attributes (but it's ok if you don't!):
<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">Values</h2>

Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in&hellip;
<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> 

<h2 class="jobSectionHeader">
Location</h2>

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.

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. 
<h2 class="jobSectionHeader">
Benefits and Perks</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> 


Compensation

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. 
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.

Butterfly Network does not accept agency resumes.

Butterfly Network is an E-Verify Company.

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.

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 


#LI-KG

#KG-LI</div>

Staff , Site Reliability Engineer - Cloud Platform

Revelio Labs

<div>
 Data Engineer at Revelio Labs, Inc., New York, NY (F/T)
 
 
 JOB DUTIES: Own and scale the companys infrastructure platform with a focus on large-scale data systems, container orchestration, and infrastructure automation. Architect and maintain high-performance infrastructure supporting large-scale distributed databases and real-time processing systems. Manage and optimize Kubernetes clusters (both on-premise and in cloud environments), including multi-tenant isolation, resource allocation, security, autoscaling, and application monitoring. Develop and maintain Infrastructure-as-Code (IaC) with full GitOps integration. Manage cloud infrastructure on AWS, including IAM roles, VPC networking, S3 storage policies, and integration with containerized workloads and external services. Design secure and scalable interfaces between cloud-native infrastructure and data platforms. Collaborate with data engineers and machine learning teams to build scalable data pipelines. Provide hands-on development of ETL jobs and data transformation workflows. Provide expert guidance on high availability, sharding, scaling strategies, storage engine internals, and performance tuning for diverse workloads. Own the full observability stack, including the design and maintenance of monitoring, logging, and alerting systems. Track and optimize infrastructure costs through usage-based metrics, implementing cost-efficient monitoring strategies, and proactively identify areas to cut waste across compute, storage, and network resources.
 
 
 JOB REQUIREMENTS: Position requires a Masters degree, or foreign equivalent, in Computer Science, Data Science, Data Analytics, Computer Engineering, or a closely related field, and completion of an internship (approx. 8-12 weeks) or equivalent experience. Full term of experience must include professional experience or internship experience in each of the following: Writing and debugging Python, Shell (Bash), and SQL code for use in infrastructure automation and data transformation workflows; Working with relational and NoSQL databases, including PostgreSQL and MySQL, to troubleshoot data issues, optimize query performance, and ensure data integrity for data pipelines; Implementing monitoring and troubleshooting processes to identify performance issues and ensuring data stability across infrastructure and data pipelines; Developing and maintaining CI/CD pipelines using GitHub Actions and YAML configurations to automate the building, testing, and deployment of Docker containers; and, Supporting cloud-based infrastructure by managing system configurations and updates through Git-based version control, containerization technologies, and laC.
 
 
 Telecommuting permitted from any U.S. location.
 
 
 SALARY: $160,000
 
 
 $200,000 per year
 
 
 QUALIFIED APPLICANTS: To apply, email resume to hannah@reveliolabs.com. Reference: Rev-9510813.
</div>

Data Engineer

Radar Labs

<div><div><h2 class="jobSectionHeader">Location</h2>
New York ; US Remote
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$200K &ndash; $300K &bull; Offers Equity</li>
</ul><div>Our salary ranges are determined by role, level, and location. The final offer may vary based on market location, job-related skills, experience, and relevant education or training.</div></div></div>
 <div>About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
<ul><li>We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
</li><li>We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
</li><li>We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
</li><li>We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
</li><li>We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
</li><li>We were recently named a top 10 best place to work in NYC by Crain's.
</li></ul>Despite our growth and scale, we're still just getting started. That's where you come in.
About the role
We're looking for an Engineering Manager to lead a distributed SRE team to work on our production infrastructure. You will be responsible for supporting a team and driving a roadmap that makes Radar&rsquo;s services scalable and highly available worldwide. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region.
The stack:
We use Terraform to manage our infrastructure.
We deploy everything to AWS via EKS.
We use MongoDB deployed to Atlas.
We do CI and deployments via CircleCI.
We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty.
DNS is managed by CloudFlare.
Most engineers are in the on-call rotation.
Our main server languages are TypeScript and Rust.
Our data pipelines are written in Airflow and Scala Spark.
We sponsor OpenStreetMaps, MapLibre and OpenAddresses.
How we use AI:
<ul><li>Engineers choose what AI tools they use, Claude and Codex being the most popular.
</li><li>We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
</li><li>All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
</li><li>There is a range of how much engineers use AI. Most use it daily if not weekly.
</li><li>We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.
</li></ul>How we work:
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or Multi-Stack at any level. We say Multi-Stack because &quot;Full-Stack&quot; has the connotation of &quot;Frontend and Backend&quot;, but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week.
The hiring process:
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What you&rsquo;ll do:
<ul><li>Manage, grow, and mentor a globally distributed SRE team
</li><li>Be responsible for our observability, monitoring, and incident management practices
</li><li>Work on core Radar infrastructure using Terraform all deployed to AWS via EKS
</li><li>Work with our product, data, platform, and security engineers to ensure the development of highly-available, scalable, and reliable software
</li><li>Champion automation and self-service capabilities over manual processes, and have grounded perspectives on AI-assised tooling
</li><li>Drive critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities
</li><li>Ensure compliance and security by default in our processes and infrastructure by partnering with our GRC and security teams
</li><li>Have your work be used by 100's of millions of devices
</li><li>Be part of the on-call rotation
</li><li>Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
</li></ul>You should:
<ul><li>Be able to get your hands dirty and dive deep into production issues
</li><li>Have experience managing a production AWS environment via Terraform
</li><li>Have experience with high availability multi-region production infrastructure running on Kubernetes
</li><li>Have experience managing large sharded Mongo clusters with heavy read-write workloads
</li><li>Have experience at a high growth startup
</li><li>Be interested in talking to customers or prospects and making them successful
</li></ul>Bonus points if you:
<ul><li>Are a former technical co-founder
</li><li>Have experience with high throughput data intensive applications
</li></ul>You&rsquo;ll work with
<ul><li>Tim Julien, CTO
</li><li>Leo Kim, VP Platform Engineering
</li><li>Our Engineering, Customer Success, Sales Engineering and Sales teams
</li><li>Our customers and prospects
</li></ul>What we offer:
<ul><li>Competitive salary
</li><li>Meaningful stock options in a fast-growing company
</li><li>401(k) plan with 4% match
</li><li>New HQ in Flatiron, NYC
</li><li>Top-notch equipment
</li><li>Catered lunches
</li><li>Unlimited PTO
</li><li>Health, dental, and vision insurance with 100% coverage for employees
</li><li>12 weeks of paid parental leave
</li><li>Commuter and fitness benefits
</li></ul>We&rsquo;ll share full details of our benefits package at the offer stage. Benefits may vary by location.
Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law.
Compensation Range: $200K - $300K</div>

Engineering Manager, Site Reliability

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

Incedo Inc.

<div>
 
 Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We
 
 
 are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business
 
 
 and technology across Banking &amp; Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
 
 
 We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,
 
 
 and long-term impact.
 
 
 Incedo delivers ROI from AI @ Scale through the &ldquo;Power of 3&rdquo;:
 
 
 &bull; Deep domain expertise
 
 
 &bull; AI &amp; Data capabilities
 
 
 &bull; Engineering &amp; Operations excellence
 
 
 
 
 
 
 Job Title: Sr.Data Engineer&ndash; AWS &amp; Streaming
 
 
 
 
 Location
 
 : Fort Mill, SC or New York City, NY (Hybrid)
 
 
 
 
 
 Role Summary:
 
 
 We are seeking a Mid&ndash;Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python
 </li>
 <li>
 Build event-driven workflows using AWS Lambda
 </li>
 <li>
 Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink
 </li>
 <li>
 Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation
 </li>
 <li>
 Optimize data processing performance, scalability, reliability, and cost in cloud environments
 </li>
 <li>
 Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong hands-on experience with Python and PySpark
 </li>
 <li>
 Proven expertise in AWS Glue, Lambda, and other cloud-native data services
 </li>
 <li>
 Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns)
 </li>
 <li>
 Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection)
 </li>
 <li>
 Strong understanding of distributed data processing and scalable architecture patterns
 </li>
 </ul>
 
 
 
 
 
 Good-to-Have Skills:
 
 
 <ul>
 <li>
 Experience with Apache Flink for real-time stream processing and stateful computations
 </li>
 <li>
 Knowledge of KSQL or other streaming SQL engines
 </li>
 <li>
 Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices
 </li>
 <li>
 Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi
 </li>
 <li>
 Experience working in enterprise or financial data environments
 </li>
 </ul>
 
 
 
</div>

Senior Data Engineer

City University of New York

<div>Engineer Level 1 (Provisional)
GENERAL DUTIES
This class of positions encompasses professional engineering work and project management of the University's capital and rehabilitation construction program. There are three assignment levels within this class of positions. At each level a University engineer may sign and seal engineering drawings for which that individual has supervisory or preparatory responsibility, and may sign and seal other official documents. All personnel perform related work.
Assignment Level I
Under general supervision, performs responsible supervisory, or difficult and responsible engineering work, such as the following:
<ul><li>Is in charge of a Unit of major field of engineering.</li>
<li>
Plans, assigns and reviews the work of subordinates, prepares progress reports, and may represent a college or the University in relations with contractors and their representatives, damage claimants and their representatives, and consultants.</li>
<li>
Engages in or supervises the conduct of complex and important research, investigations, or studies related to engineering.</li>
<li>
Makes interpretative detail sketches or layouts of engineering plans.</li>
<li>
Assists in the preparation of documents for bidding, advertisements for bids and in the final selection of successful bidders.</li>
<li>
Meets with contractors, manufacturer's representatives, consultants, college administrators, Central Office and in-house staff to review project details and to identify concerns.</li>
<li>
Prepares reports on contracts, estimates, modifications, and recommendations of award.</li>
<li>
Reviews projects designed by outside consultants or subordinates and provide in-depth written comments.</li>
<li>
Participates in the development of proposals for such major engineering projects as the acquisition or disposition of a College or University property or the public or private use of such property; may conduct surveys in the development of such proposals.</li>
<li>
Participates in engineering investigations of claims for direct or indirect damages.</li>
<li>
Prepares recommendations for alterations or repairs.</li>
<li>
Prepares, or supervises the preparation of specifications, cost estimates, and estimates of materials and equipment in all areas of the assigned projects.</li>
<li>
Prepares change orders if necessary.</li>
<li>
Reviews and comments on change orders.</li>
<li>
Attends job-site meetings when necessary.</li>
<li>
Supervises the conduct of field surveys and construction inspections to secure compliance with contract and other specifications, or inspection of the construction, or alteration of structures, to secure compliance with building codes, zoning resolution and other pertinent statutes, rules and regulations.</li>
<li>
Makes periodic field inspections and final inspections as necessary.</li>
<li>
Prepares or supervises the preparation of, compliance or final analysis of the spatial organization and efficient utilization of sites and structures, or the functional arrangement of interior units, utilities and appurtenances.</li>
<li>
Develops engineering designs of a complex nature.</li>
<li>
Monitors and advises the supervisor on the preparation of construction documents and adherence to project program and budget for small maintenance or alteration projects.</li>
<li>
Gathers information for preparation of various programs, utilization studies and space inventories.</li>
<li>
Maintains and files reference materials and projects drawings for such purposes as an engineering resource library. This may include duplicating and distributing of materials.</li>
<li>
May supervise University Assistant Engineers, other related professionals, and support personnel.</li>
</ul>
Assignment Level II
Under direction, with wide latitude for the exercise of independent judgment or action, performs highly difficult and responsible work in a recognized field of engineering, and is responsible for providing engineering related management services for projects of some complexity, such as the following:
<ul><li>Serves as a consultant on major engineering matters of a College or the University.</li>
<li>
Coordinates projects with other related professionals.</li>
<li>
Applies in-depth knowledge of legal matters related to engineering.</li>
<li>
Directs very complex and important research.</li>
<li>
Supervises a special and difficult project.</li>
<li>
Reviews reports of lower engineers on the preparation of construction documents and adherence to project program and budget for small maintenance or alteration projects; directly monitors if necessary.</li>
<li>
Makes periodic field inspections to assure the timely completion of project phases in compliance with the contract, and pertinent building codes, zoning resolutions and other pertinent statutes, rules and regulations.</li>
<li>
Is in charge of more than one unit of major fields of engineering.</li>
<li>
May supervise lower level engineers, other related professionals, and support personnel.</li>
<li>
Assists in the preparation of consultant services contracts.</li>
<li>
Acts as point of contract and liaison within the University and with outside governmental agencies.</li>
<li>
When necessary, periodically performs the duties described under assignments Level I.</li>
</ul>
Assignment Level III
<ul><li>Serves as a consultant on extremely complex and highly specialized engineering matters.</li>
<li>
Directs all aspects of research on extremely complex and important engineering projects.</li>
<li>
Supervises the generation or review of multiple proposals or reports of a complex nature. Reviews such proposals and recommends for approval.</li>
<li>
Supervises multiple special and difficult projects.</li>
<li>
Represents the University on major engineering projects at major decision making levels.</li>
<li>
Acts as point of contact and liaison for the Office of Facilities Planning and Management with the Colleges, Central Office Staff, and governmental agencies.</li>
<li>
May supervise lower level engineers, other related professionals and support personnel.</li>
<li>
Coordinates all activities for projects assigned.</li>
<li>
Conducts project meetings with consultants.</li>
<li>
Reviews field reports.</li>
<li>
Reviews, recommends and/or approves change orders in accordance with procedures.</li>
<li>
Reviews projects designed by outside consultants or the colleges.</li>
<li>
Monitors adherence to project budget and program.</li>
<li>
Monitors timely completion or projects phases.</li>
<li>
Assures compliance with project specification and quality requirements.</li>
<li>
Prepares resolutions for budget allocations.</li>
<li>
Recommends approval of contract payments when required.</li>
<li>
Assists the contract administration unit in the preparation of documents for bidding, advertisements for bids and awarding of contracts.</li>
<li>
Attends job site meetings when necessary.</li>
<li>
Makes periodic field inspections and final inspections as necessary.</li>
<li>
May incidentally perform duties under lower assignment levels.</li>
</ul>
CONTRACT TITLE
Engineer
FLSA
Exempt
CAMPUS SPECIFIC INFORMATION
&ldquo;At Baruch College we believe that student success is everyone&rsquo;s responsibility&rdquo;
Baruch College is ranked among the region&rsquo;s and nation&rsquo;s top colleges with over 18,000 students; considered one of the most ethnically diverse student bodies in the United States; and is composed of five buildings containing 1.47 million square feet of space and a public plaza. Baruch College Campus Facilities reporting to the Assistant Vice President has over 150 administrative and professional staff, custodial and skilled trades. The Planning Office within the Campus Facilities is responsible for the College&rsquo;s planning, design, and construction projects. The office also manages the space programming; enhancements and renovations throughout the campus; the annual capital plan submittal; and signage. Additionally the office is supported by the Director of Operations, Chief Administration Superintendent, Environmental Health &amp; Safety Officer and others. The University Engineer will report directly to the Planning Director within Campus Planning.
<ul><li>Provide engineering oversight for multiple concurrent capital, DASNY-managed, and in-house construction projects across Baruch College&rsquo;s five academic buildings and public plaza, ensuring compliance with engineering standards, building codes, and University requirements.</li>
<li>
Review and coordinate mechanical, electrical, plumbing, structural, fire protection, and building systems designs for renovations, infrastructure upgrades, and modernization projects to support campus operations and long-term facility performance.</li>
<li>
Manage engineering aspects of campus-wide improvement initiatives, including HVAC replacements, energy efficiency projects, accessibility upgrades, life-safety improvements, and deferred maintenance programs.</li>
<li>
Conduct technical evaluations, prepare engineering recommendations, review consultant and contractor submittals, and monitor project execution to ensure quality, safety, sustainability, and operational reliability.</li>
<li>
Serve as the engineering liaison among Facilities Planning and Management, DASNY, consultants, contractors, and campus stakeholders, providing professional engineering judgment and technical leadership throughout project planning, design, construction, and commissioning.</li>
</ul>
MINIMUM QUALIFICATIONS
<div><ul><li>A baccalaureate degree in engineering from an accredited college and four years of full-time experience in professional engineering work in the required field; and</li></ul>
<ul><li>
A valid New York State Professional Engineer's license; OR</li></ul>
<ul><li>
Education and/or experience equivalent to 1 above. However, all candidates must possess a valid NYS Professional Engineer's license.</li></ul>
<ul><li>
In addition, the candidates are required to have one year of project management experience for assignment Level II and two years of project management experience for Level III. Graduate degree in Public Administration/Business Administration from an accredited college may be substituted for one year of project management experience for Level III on the basis of 48 credits for one year of experience.</li></ul>
</div>
COMPENSATION
New Hire: $76,426*
Incumbent: $86,359
<ul><li>This amount reflects a 13% salary suppression in effect for the first 24 months of employment only.</li></ul>
BENEFITS
CUNY offers a comprehensive benefits package to employees and eligible dependents based on job title and classification. Employees are also offered pension and Tax-Deferred Savings Plans. Part-time employees must meet a weekly or semester work hour criteria to be eligible for health benefits. Health benefits are also extended to retirees who meet the eligibility criteria.
HOW TO APPLY
Visit www.cuny.edu, access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select &quot;Apply Now&quot; and provide the requested information.
Candidates should provide a resume and cover letter.
CLOSING DATE
August 20, 2026
JOB SEARCH CATEGORY
CUNY Job Posting: Managerial/Professional
EQUAL EMPLOYMENT OPPORTUNITY
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Job ID: 32576
Location: Baruch College
Job Type: Full-Time</div>

Engineer Level 1 (Provisional)

Prism Vision Group

<div>Overview:<div></div><div> 
This is a non-exempt on-site role, located at our New Providence CBO location.</div><div></div><div> 
Compensation Range: $18-$29.76/hr (Dependent on Experience)</div><div></div><div> 
The Accounts Payable Specialist upports all aspects of accounts payable, ensuring that all deadlines are met with the highest degree of accuracy.</div>
Responsibilities:
<div>
ROLE AND RESPONSIBILITIES</div><div><ul><li> 
Review all invoices for appropriate documentation and approval prior to</li><li>Process weekly check run</li><li>Process refunds for all patient and insurance carriers</li><li>Posting of Management Amex Cards</li><li>Post Physician ACH Car Note payments</li><li>Ensure payment of &quot;other drugs'' from accounting manager and provide schedule of payment to accounting clerk</li><li>Upload for Positive Pay &amp; Submit to Controller</li><li>Review uncashed checks on bank reconciliation report monthly and investigate</li><li>Ensure timely month end close of Accounts Payable Department</li><li>Backfill the Accounts Payables function in the absence of Accounts Payable Clerk</li><li>Process 1099's and review annual 1099's reporting</li><li>Assist in scanning documents into MS Business Central</li><li>Assist in ensuring the timely and accurate filing of all Accounts Payables Documents</li><li>Reconcile vendor statements and maintain accurate vendor ledger. Research and correct discrepancies.</li><li>Maintain Vendor Contracts</li><li>Maintain online AP accounts and passwords</li><li>Review online AP accounts and passwords</li><li>Create AP close</li><li>Keep track of all checks</li><li>Perform other duties as assigned by Manager</li></ul></div>
Qualifications:
<div>
POSITION QUALIFICATIONS</div><div> 
Education: High School Graduate or General Education Degree (GED). Bachelor&rsquo;s degree in relevant discipline
 
preferred.</div><div> 
Experience: 3+ years of related experience, or equivalent combination of education and experience.</div><div> 
KNOWLEDGE/SKILLS/ABILITIES</div><div><ul><li> 
Accountability &ndash; Ability to accept responsibility and account for his/her actions and work performed. Willing to accept constructive feedback.</li><li>Accuracy &ndash; Ability to perform work accurately and thoroughly with attention to all details of a project or task.</li><li>Adaptability &ndash; Ability to adapt to and facilitate change in the workplace.</li><li>Communication &ndash; Ability to communicate effectively with others using good listening skills.</li><li>Empathetic &ndash; Ability to appreciate and be sensitive to the feelings of patients and co-workers.
</li><li>Initiative &ndash; Ability to make decisions and take actions to solve a problem or reach a goal. Desire to excel, attempting non-routine tasks.</li><li>Judgment &ndash; Ability to make sound decisions using available information.</li><li>Reliability &ndash; Can be relied upon to demonstrate reliability in attendance and punctuality.</li><li>Team Player &ndash; The ability to work with others and independently for a common goal. Puts aside own individual needs to work toward the larger group objective and reinforces the contribution of others.</li><li>Relevant computer skills &ndash; Proficiency in MS Office suite. Advanced knowledge of excel</li></ul> 

WORK ENVIRONMENT</div><div> 
An office environment with a controlled atmosphere.</div></div>

Accounts Payable Specialist

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