software engineer

data engineer

ai engineer

ai engineer ii

engineer

python engineer

Open Systems Technologies

<div>
 A major financial firm is looking for a
 <strong>
  Python Developer
 </strong>
 to join their team in New York, NY.
 <br/>
 <br/>
 <em>
  Compensation: $150-200k/year
  <br/>
  <br/>
 </em>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Bachelor's Degree in Computer Science, Engineering, or related field of study
  </li>
  <li>
   5+ years of relevant hands-on technical experience
  </li>
  <li>
   Strong Python skills
  </li>
  <li>
   Strong understanding of relational databases and SQL
  </li>
  <li>
   Strong analytical skills with attention to detail
  </li>
  <li>
   Strong communication skills
  </li>
 </ul>
</div>


Python Developer

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

Google

<div>
 Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
 <br/>
 <br/>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 <strong>
  New York, NY, USA; Mountain View, CA, USA; San Francisco, CA, USA
 </strong>
 .
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  </li>
  <li>
   1 year of experience designing data pipelines (ETL) and model data.
  </li>
  <li>
   Experience analyzing data and creating reports, and with database query (e.g., SQL) and visualization tools (e.g., Tableau, dashboards).
  </li>
  <li>
   Experience with one or more general purpose programming languages (e.g., Python, C/C++, Java).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in a data science environment, supporting feature engineering and model automation needs.
  </li>
  <li>
   Experience working with big data tools, distributed computing and non-relational databases.
  </li>
  <li>
   Structured thinking with ability to easily break down ambiguous problems and propose impactful data modeling designs.
  </li>
  <li>
   Passion for analyzing large and complex data sets and converting them into the information which drive business decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 The GCS Data Science team is working on challenging yet interesting problems for the GCS (Google Customer Solutions) division of Global Business Organization (GBO). Our goal is to build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
 <br/>
 <br/>
 The Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools.
 <br/>
 <br/>
 As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will use an analytical, data-driven approach to drive a deep understanding of our fast changing business. You will build data pipelines and reporting tools that enable our data scientists, through feature engineering, automated data extracts and wrangling needs, and scaled insights for both the data science team and our users.
 <br/>
 <br/>
 Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you&rsquo;ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
 <br/>
 <br/>
 Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 <br/>
 <br/>
 US: $106000 - $151000 (USD) + 15% bonus target + equity + benefits
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Learn more about benefits at Google .
 <br/>
 <br/>
 <ul>
  <li>
   Build data pipelines, reports, best practices and frameworks that enable analysts and other stakeholders across the organization.
  </li>
  <li>
   Use feature engineering to support data needs for ML/AI model development and subsequent scaling through ETL pipeline development.
  </li>
  <li>
   Recognize and adopt best practices in developing pipelines, analytical insights including data integrity, test design, analysis, validation and documentation.
  </li>
  <li>
   Design and develop scalable and actionable solutions (dashboards, automated collateral, web applications) that tell a story and provide insights to help our advertisers grow.
  </li>
  <li>
   Work closely with various stakeholders to understand feature/tooling gaps and innovate on behalf of our customers.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 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>


Data Engineer, GCS Data Science

Whatnot

<div>
 <strong>
  <strong>
   🚀 Join the Future of Commerce with Whatnot!
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 <br/>
 <br/>
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 <br/>
 <br/>
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 <br/>
 <br/>
 <strong>
  💻 Role
  <br/>
  <br/>
 </strong>
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 <br/>
 <br/>
 As our newest
 <strong>
  Data Engineer
 </strong>
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 <br/>
 <br/>
 <strong>
  On Any Given Day, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
  </li>
  <li>
   Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
  </li>
  <li>
   Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
  </li>
  <li>
   Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
  </li>
  <li>
   Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
  </li>
  <li>
   Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
   <br/>
   <br/>
  </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 <br/>
 <br/>
 <strong>
  👋 You
  <br/>
  <br/>
 </strong>
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 <br/>
 <br/>
 <ul>
  <li>
   Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  </li>
  <li>
   Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  </li>
  <li>
   Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  </li>
  <li>
   Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  </li>
  <li>
   Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
  </li>
  <li>
   Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
  </li>
  <li>
   Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
   <br/>
   <br/>
  </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 <br/>
 <br/>
 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
  <br/>
  <br/>
 </strong>
 <strong>
  💰Compensation
  <br/>
  <br/>
 </strong>
 <strong>
  For Full-Time (Salary)
  <br/>
  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
 <br/>
 <br/>
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 <br/>
 <br/>
 <strong>
  🎁 Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Generous Holiday and Time off Policy
  </li>
  <li>
   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
  </li>
  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
   </li>
  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
   </li>
   <li>
    Annual allowance towards Childcare
   </li>
   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
   <br/>
   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 <br/>
 <br/>
 Compensation Range: $180K - $260K
 <br/>
 <br/>
</div>


Data 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- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.</p><p>
As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands-on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low-latency electronic trading businesses. This is a deeply technical, engineering-first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.</p><p>
You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance-engineering challenges, and mentor partner technical teams. You will serve as an expert, hands-on advisor to peers, leadership, and stakeholders.</p><p><b>
Job responsibilities</b></p><div>
</div><ul><li>Design, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up</li><li>
Architect new system designs and next-generation deployment models &mdash; including immutable infrastructure, containerization, and automated provisioning pipelines</li><li>
Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization</li><li>
Write production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed</li><li>
Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster</li><li>
Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain</li><li>
Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure</li><li>
Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures</li><li>
Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations</li><li>
Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities, and skills</b></p><div>
</div><ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Strong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)</li><li>
Deep, hands-on Linux engineering expertise &mdash; administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low-latency, high-throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)</li><li>
Hands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible</li><li>
Hands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls</li><li>
Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms</li><li>
Experience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)</li><li>
Practical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)</li><li>
Experience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent</li></ul><p>
</p><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Experience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads</li><li>
Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)</li><li>
Experience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)</li><li>
Experience with database management systems, preferably PostgreSQL</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<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><p></p><div><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><div><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>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you&mdash;and the products you deliver&mdash;will thrive.<br>
<div></div><br>
<div><div>High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.</div></div></div><div></div>

Senior Lead Software Engineer- Platform / Linux Engineering

Metropolitan Transportation Authority

<div><div><div><div><b>Job ID:</b> 16120</div>
<div><b>Business Unit:</b> MTA Headquarters</div>
<div><b>Location:</b> New York, NY, United States</div>
</div><div><div><b>Regular/Temporary:</b> Regular</div>
<div><b>Department:</b> Platforms Technology</div>
<div><b>Date Posted:</b> Jul 6, 2026</div>
</div></div><div><p><b>Description</b>
</p><div><div><div><div><div><b>JOB TITLE:</b></div><div><br>
Manager, Platform Technology</div></div><div><div><b><br>
SALARY RANGE:</b></div><div><br>
$160,963 - $189,990</div></div><div><div><b><br>
DEPT/DIV:<br>
</b></div><div>Information Technology</div></div><div><div><b><br>
SUPERVISOR:<br>
</b></div><div>Senior Director, Platform Technology</div></div><div><div><b><br>
LOCATION</b><b>:</b></div><div><br>
333 West 34th Street, New York, NY 10001</div></div><div><div><b><br>
HOURS OF WORK:<br>
</b></div><div>9:00 am - 5:30 pm (7.5 hours/day) or as required</div></div></div><div></div><div><br>
This position is eligible for teleworking, which is currently one day per week. New hires are eligible to apply 30 days after their effective date of hire.</div><div></div><div><b><br>
Opening</b><b>:</b></div><div></div><div><br>
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation&rsquo;s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.</div><div></div><div><b><br>
About Us:</b></div><div></div><div><br>
The MTA transportation network has very large systems and infrastructure for financial, business, automated train, transportation, power, and physical security. The MTA IT Department is centrally responsible for providing a full range of Information and Operational Technology services to the MTA agencies and administrative units through its operating and support units. Services are provided on a 7/24/365 basis in support of the MTA organization and its ridership.</div><div></div><div><br>
MTA IT's Product Development group is empowered, multi-functional teams focused on the end-to-end management of development products from strategy to delivery. Using innovative processes and tools, the teams are responsible for developing and maintaining highly effective, secure, and innovative transportation, operational, and back-end information systems to support MTA goals and priorities.</div><div></div><div><b><br>
Job </b><b>Summary</b><b>:</b></div><div></div><div><br>
The Platform Technology Manager will be responsible for overseeing a team of platform engineers, technicians, and administrators and driving the development and evolution of the organization's platform infrastructure, automation tools, storage, and deployment pipelines. You will play a critical role in shaping the technical infrastructure of our organization. Working collaboratively with technology teams, this role will help to drive operations and automation, accelerate product delivery, and ensure consistent and stable services.</div><div><br>
</div><div>Various Products, including, but not limited to:
</div><ul><li>Corp Finance/ Capital Planning &amp; Budget</li><li>
Legal, Risk &amp; Safety</li><li>
Enterprise Asset Management
</li><li>Workforce Products (Payroll, Pension, Timekeeping, Recruitment)
</li><li>Employee Experience
</li><li>Platforms/Back-End Operations/DBA
</li><li>Bus &amp; Paratransit</li><li>
Scheduling Crew Pick</li><li>
Transportation Intelligent Systems, Train Control
</li><li>B&amp;T Products
</li><li>Customer Experience
</li><li>Revenue Fare Collections</li></ul><p><b>
Critical Skills:</b></p><ul><li>
Hands-on Peoplesoft Administration and IT Architecture expereince</li><li>
Experience leading large ERP systems</li><li>
Knowledge of Oracle Database and Peopletools</li></ul><div></div><div><b><br>
Responsibilities</b><b>:</b></div><ul><li>
Oversees rigorous quality assurance processes to deliver reliability, performance, and safety objectives.</li><li>
Oversees staff workload and quality of work, addressing performance issues when needed.</li><li>
May contribute to or influence the strategic direction of one or more disciplines within IT.</li><li>
Assist with the implementation of the strategy</li><li>
Translates policy into operational plans.</li><li>
Results may impact the metrics of a functional area within IT and are visible to a variety of internal stakeholders and senior management.</li><li>
Leads a workforce focused on a discipline within IT.</li><li>
Directs one or more professional individual contributors.</li><li>
Role encompasses complex subject matter requiring extensive knowledge in a single discipline and broad knowledge in related disciplines or domains.</li><li>
Manages day-to-day operations and motivates team(s) to achieve results; may be responsible for a budget.</li><li>
Work is often focused on the delivery of monthly or quarterly results, and outputs are subject to periodic review against targets.</li><li>
Motivates personnel to create a professional environment that respects individual differences and enables all employees to develop into their full potential, disciplining when necessary.</li><li>
Supervises a professional team of IT staff in the selection, adoption, development, and support of one or more product lines through all stages of the product lifecycle, from ideation, definition, prototyping, design, validation &amp; testing, launch, run stage, and eventual product retirement.</li><li>
In collaboration with IT and business leaders, creates, delivers, and manages product and organizational roadmaps to maintain alignment with defined digital agendas and service expectations.</li><li>
Monitors and manages team activities and deliverables for adherence to relevant enterprise and departmental resource, technology, and operational governance/approval processes, and departmentally spanning technology architectures, models, methods, and tools.</li><li>
Leads the team in its development and management of system support processes and service levels to ensure the sustainability, viability, and quality of delivered products within agreed service targets.</li><li>
Develops and maintains product lifecycles from inception/innovation through design, build, and ultimately the ongoing run stage before an eventual product retirement.</li><li>
Manages cross-functional teams assigned to design, build, and maintain one or more product lines and/or platforms.</li><li>
Analyzes and monitors the effectiveness and efficiency of product(s) and develops, proposes, and implements improvement strategies.</li><li>
Establishes assurance processes throughout the team that are reliable and satisfy the organization&rsquo;s stated quality and safety objectives within organizational risk tolerance. Proposes risk mitigation strategies.</li><li>
Continually manages team priorities and resource demand/supply; recommends timelines and resources needed to achieve goals and objectives.</li><li>
Continually manages team priorities and resource demand/supply; recommends timelines and resources needed to achieve goals and objectives.</li><li>
Attracts and develops a high-performing and diverse workforce, empowering all staff to elevate their technical and leadership competencies, level of responsibility, and performance.</li><li>
Maintain an engaged workforce and foster a positive culture throughout organizational change.</li><li>
Continuously develops and maintains personal knowledge of relevant industry models, methods, and tools, emerging technologies, and high-impact regulatory changes.</li><li>
Provides expert-level guidance and training to the IT community and mentors less experienced staff to foster talent development.</li><li>
Performs other duties as assigned</li><li>
Complies with all policies and standards</li><li>
May be required to work hours outside regular work hours, as applicable</li><li>
Observes the work performed by contractors, as applicable</li><li>
Reviews invoices and approves them if the work meets contractual standards, as applicable</li><li>
Addresses performance issues with the contractor when possible, as applicable</li><li>
Escalates issues to other parties when needed, as applicable</li></ul><p><b>
Required Qualifications</b><b>:</b></p><ul><li>
Bachelor&rsquo;s Degree in Arts/Sciences (BA/BS)
</li><li>Minimum 5 years 5 years of relevant technology experience and leadership ability. A combination of education and experience may be considered in lieu of a degree.</li><li>
Must possess an expert/highly proficient in deep understanding of technology. Expert/Highly Proficient ability to develop and implement enterprise product solutions. Ability to prioritize, handle multitasking, and work in an agile environment. Ability to quickly learn and understand new technologies
</li><li>Expert/Highly Proficient proven ability to manage projects and initiatives. Expert/Highly Proficient ability to fit in with the constantly shifting needs and demands of the business Departments
</li><li>Proficiency in at least one software engineering methodology, including but not limited to: Waterfall, Agile, Scrum, DevOps, Extreme Programming (XP), Kanban, Lean, Rapid Application Development (RAD)
</li><li>Familiarity with the following vendor-specific platforms: Job Specific (e.g., Azure, Windows Server platforms, RESTful APIs, Linux, PeopleSoft, ServiceNow, Google Cloud, Red Hat OpenShift, and Anypoint Platform)
</li><li>Programming experience with the following language(s): Job Specific (e.g Ruby, Python, Java, Kotlin, Bash, C++, COBOL, Puppet, Perl, PHP, etc.)
</li></ul><p><b>Preferred</b><b> Qualifications:</b></p><ul><li>
At least one platform engineering industry certification preferred. Possible certifications include: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), AWS Certified Solutions Architect, RedHat Certified Engineer, Kubernetes Certified, Azure Devops Solutions Certifications, Ar, Microsoft Certified: Azure Solutions Architect Expert, Oracle Products Certifications including OCI Platform Certificates,, Certified Software Test Lead (CSTL), Certified Automation Professional (CAP),, AWS Certified DevOps Engineer - Professional Certificate, Certified Kubernetes Administrator (CKA), Docker Certified Associate (DCA), Microsoft Certified: DevOps Engineer Expert Upon Hire</li></ul><p><b>
Behavioral Skills</b><b>:</b></p><ul><li>
Must possess active listening, attention to detail, customer service, prioritization, and problem-solving skills. Ability to work independently and strategically.
</li><li>Demonstrated expertise in identifying and analyzing risks and developing effective mitigation strategies. Strong technical knowledge and diverse skillset to understand various technologies, systems, and potential risks.
</li><li>Excellent critical thinking, problem-solving, and decision-making skills. Strong interpersonal, verbal, and written communication skills, with the ability to effectively collaborate with both technical and non-technical peers.
</li><li>Proven ability to manage multiple projects simultaneously and prioritize tasks based on urgency and impact. Extensive hands-on experience with related tools.</li><li>
Solid working knowledge of IT domains. Ability to work under pressure and meet deadlines individually and collaboratively. Think logically, assess problems, and be results-oriented.
</li><li>Ability to identify complex business and technology risks and associated vulnerabilities. Prioritize multiple tasks and switch between tasks quickly. Ability to communicate effectively, both orally and in writing, to interact with team members, customers, management, and support personnel (technical and non-technical).
</li><li>Ability to establish and maintain effective working relationships with employees at all levels within the organization and with both internal and external customers.</li></ul><p><b>
Competencies</b><b>:</b></p><div><div><div><p>
Core Competency</p><p><br>
Proficiency Level</p><p><br>
Competency Definition</p></div><div><p><br>
Collaborates</p><p><br>
Expert</p><p><br>
Building partnerships and working collaboratively with others to meet shared objectives</p></div><div><p><br>
Cultivates Innovation<br>
</p><p>Expert</p><p><br>
Creating new and better ways for the organization to be successful</p></div><div><p><br>
Customer Focus</p><p><br>
Expert</p><p><br>
Building strong customer relationships and delivering customer-centric solutions</p></div><div><p><br>
Communicates Effectively<br>
</p><p>Expert</p><p><br>
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</p></div><div><p><br>
Values Diversity</p><p><br>
Expert</p><p><br>
Recognizing the value that different perspectives and cultures bring to an organization</p></div><br>
</div></div><p><b>
Other Information</b><b>:</b></p><p>
Pursuant to the New York State Public Officers Law &amp; the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the &ldquo;Commission&rdquo;).</p><p><b>
Equal Employment Opportunity</b><b>:</b></p><p>
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.</p><p>
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</p></div></div></div></div><div></div>

PeopleSoft Platform Manager – Platform Technology Manager

Paragon Alpha - Hedge Fund Talent Business

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 <p>
  Paragon Alpha is partnering with a leading systematic hedge fund as they continue to expand their Data function, hiring a Data Support Analyst to join their New York office.
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  Working closely with quantitative researchers and traders, you'll play a key role in supporting the firm's investment platform by onboarding and maintaining large-scale datasets, ensuring data quality, expanding data coverage, and improving documentation across a wide range of market data sources.
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  <br/>
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  The ideal candidate will have experience working with data systems, pipelines, and APIs, alongside strong Python skills, familiarity with common data libraries, and an excellent academic background.
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  This is an outstanding opportunity to join one of the industry's top-performing quantitative hedge funds, offering direct exposure to front-office research and trading within a collaborative, technology-driven environment where data sits at the heart of the investment process.
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  <br/>
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  Please apply if you're interested in learning more.
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Data Support Analyst - Systematic Hedge Fund

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