advanced software engineer - salesforce Jobs in New York

advanced software engineer - salesforce

android engineer

data engineer

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data science engineer

automation engineer

Stratford Solutions Inc.

<div><p>Job Title<b>: </b>Public Safety Monitoring Automation Engineer</p><p>
Labor: Specialist 3</p><p>
Location<b>: </b>2 MetroTech Center Brooklyn Job Type<b>:</b> Contract</p><p>
Duration: 24 Months</p><p>
Work schedule: Normal business hours Monday-Friday 35 hours/week and/or hours outside of normal business hours depending on scheduled needs (not including mandatory unpaid meal break after 6 hours of work). Schedule shift is 9am &ndash; 5pm</p><p>
Pay Rate: $120 to $130 per hour</p><p><b>
SCOPE OF SERVICES</b></p><ul><li>
The BMC Administrator will oversee the administration, maintenance, and upkeep of the TrueSight and discovery environment; handle the deployment and configuration of the TrueSight suite of products and BMC discovery for the entire PSAC infrastructure.</li><li>
Support and coordinate Public Safety Critical Server Patching for MGMT Servers, Vesta and NICE (Using BladeLogic Server Automation) Coordinate and patch critical call take positions with BCM (Blade Logic Desktop Patching) without impacting call takers.</li><li>
Support Public Safety 911 enterprise monitoring environment which comprises multiple tools such as, BladeLogic Server Automation(BSA), ADDM, BSA and ADDM. Diagnose and resolve incidents; implement appropriate corrective actions for known errors;</li><li>
Administration, maintenance and upkeep of the BMC BladeLogic and BMC ADDM environment; handle the deployment and configuration of the BMC BladeLogic suite of products and BMC ADDM for the entire PSAC infrastructure (NYPD, FDNY, EMS and DOITT including but not limited to call takers, supervisor, platoon leaders, radio dispatch operator and support personal etc.</li><li>
The BladeLogic Administrator will be required to assist in configuration baselining, governance, and compliance across the board. The admin will be working hand to hand with security to address vulnerabilities and concerns on systems and respond to zero-day vulnerabilities. Standardize workstations and provide OS Deployment / Barebone provisioning process for new builds. Standardize and automate the Discovery /configuration of over 2000 nodes. Need to help NYPD, FDNY, and NICE to locate their assets and eliminate manual spreadsheets to track assets.</li></ul><p></p><p><br>
MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered.</p><ul><li>
At least 12 years of experience in the engineering field.</li><li>
Server Patching and Lifecycle Management Manage enterprise server patching and remediation using BMC TrueSight Server Automation (TSSA / BladeLogic) Plan, schedule, deploy, and report on patching activities across Windows and Linux environments</li><li>
TrueSight Server Automation Administration Act as System Administrator and SME for BMC TrueSight Server Automation (BladeLogic) Maintain TSSA infrastructure, job configuration, comp.</li><li>
Scripting and Automation Expertise, Subject Matter Expertise required in: Bash / Shell scripting, PowerShell,Python and the ability to develop automation scripts, integrations, and operational tooling to support TrueSight platforms</li><li>
BMC Client Management (BCM) Administration Administrative-level knowledge and operational support of BMC Client Management Software deployment, inventory management, remote control, and endpoint configuration</li><li>
BMC Discovery Operations Operational skill set in BMC Discovery (ADDM) Discovery configuration, scanning, troubleshooting, and data quality management Integration of discovered assets with CMDB</li><li>
CMDB and Asset Management Strong understanding and hands-on experience with:BMC Remedy CMDB Asset Management processes and CI data management, reconciliation, normalization, and relationship mapping</li><li>
Candidates are required to have at least 10 years of experience in items listed above and with BMC automation toolset.</li></ul><p>
DESIRABLE SKILLS/EXPERIENCE:</p><ul><li>
PXE / OSD</li><li>
TPL scripting</li><li>
BMC Client Management (FootPrints)</li><li>
Windows Patch Management</li><li>
Windows/UNIX Software Distribution and automation</li><li>
Windows/UNIX Configuration Management / Compliancy</li><li>
Windows 10/11 Proficiency</li><li>
Windows 2016, 2019, 2022</li></ul></div>

Public Safety Monitoring Automation Engineer

Partner Engineering and Science, Inc

<div><div><p><b>ABOUT US</b></p>
<p>
At PARTNER, success starts with the right mindset: connection, compassion, and curiosity. Whether consulting with clients or collaborating with colleagues, these principles guide how we work. We deliver engineering, environmental, and energy consulting, plus design services across the Americas, Europe, and beyond. As a leader in Commercial Real Estate (CRE), we&rsquo;re 1,400+ professionals strong in 40+ offices. Our mission is simple: create the best home for talented professionals. If you value delivering exceptional experiences through problem-solving, coordination, and a mindset of care for clients and colleagues, you&rsquo;ll feel right at home. That approach has earned us recognition on ENR&rsquo;s Top 500 Design Firms, Inc. 5000&rsquo;s Fastest-Growing Companies, and Zweig&rsquo;s Best Firms to Work For. Here, your ideas matter, your impact is real, and your work helps shape the future. Check out this role and join our team of talented professionals.</p>
<p>
Learn more about Partner at www.partneresi.com.</p>
</div>
<div><p><b>SUMMARY</b></p>
<p>
Partner Engineering and Science, Inc. is seeking a detail-oriented and pragmatic QA Engineer to join our Products Team. This role is responsible for helping ensure the quality, reliability, and usability of our web applications through a thoughtful mix of manual testing, regression coverage, bug investigation, and test automation.</p>
<p>
 The ideal candidate has experience testing both front-end and back-end web applications, validating data across systems, and using SQL to query and verify application data. You should be comfortable testing APIs, investigating production issues, and partnering closely with engineering, product, and design teams to identify risks and focus testing effort where it matters most. We value candidates who communicate clearly, move with urgency when needed, and use good judgment to balance speed, coverage, and business impact. Experience using AI tools to improve QA workflows, test design, investigation, or productivity is a plus.</p>
<p><b>
Responsibilities and Duties</b></p>
<ul>
<li>Web Application Testing: Test front-end and back-end web application functionality across new features, enhancements, and bug fixes.</li>
<li>Regression Testing: Execute and maintain regression test coverage to support reliable releases and reduce the risk of defects reaching production.</li>
<li>API Testing: Validate APIs for correctness, reliability, and data integrity using manual and/or automated testing approaches.</li>
<li>Data Validation: Verify application data across interfaces, services, and databases to ensure accuracy and consistency.</li>
<li>SQL Querying: Write and use SQL queries to inspect, validate, and troubleshoot application data in support of testing and investigation.</li>
<li>Bug Investigation and Triage: Investigate defects identified in testing and production, help reproduce issues, document findings clearly, and support triage with engineering teams.</li>
<li>Risk-Based Testing: Apply sound judgment to determine the appropriate level of testing based on the risk, complexity, and potential business or user impact of a change.</li>
<li>Test Automation: Contribute to the creation and maintenance of automated tests using Selenium or similar tools where automation adds value.</li>
<li>Cross-Functional Collaboration: Work closely with software engineers, product managers, designers, and other stakeholders to clarify requirements, identify edge cases, and improve product quality.</li>
<li>Process Improvement: Help improve QA processes, test strategies, and release confidence through better documentation, tooling, and communication.</li>
<li>AI-Assisted QA: Use AI tools where helpful to improve test case creation, exploratory testing, defect analysis, automation, or general productivity.</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>Experience: 3+ years of quality assurance or software testing experience, preferably in web application environments.</li>
<li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.</li>
</ul><ul><li>Technical Skills:</li>
<li>Experience testing both front-end and back-end web applications.</li>
<li>Experience with API testing.</li>
<li>Experience with data validation and verifying data across systems.</li>
<li>Familiarity with writing and using SQL queries to validate and troubleshoot application data.</li>
<li>Experience performing regression testing.</li>
<li>Experience with test automation tools such as Selenium or comparable frameworks.</li>
<li>Experience investigating defects and helping triage production issues.</li>
<li>Ability to evaluate testing depth and prioritize effort based on risk and impact.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience testing modern web applications in Agile development environments.</li>
<li>Experience with performance, load, or scalability testing for web applications.</li>
<li>Familiarity with browser developer tools, test management platforms, and bug tracking systems.</li>
<li>Exposure to CI/CD workflows and how testing fits into automated delivery pipelines.</li>
<li>Experience collaborating closely with software engineers on root cause analysis and defect prevention.</li>
<li>Experience using AI tools to accelerate or improve QA workflows, documentation, test generation, or issue investigation.</li></ul><br>
<p></p>
<p><b>
Skills</b></p>
<ul>
<li>Strong written and verbal communication skills.</li>
<li>Good judgment and a practical, strategic approach to testing.</li>
<li>Ability to move quickly and stay organized in time-sensitive situations.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Collaborative mindset and the ability to work effectively across technical and non-technical teams.</li>
<li>A commitment to quality, continuous improvement, and learning.</li>
</ul>
<div><p><b>Compensation:
 </b></p><p>Salary range: $100,000 $120,000. This is what we reasonably expect to pay for the role</p>
<p>
The pay scale for this role considers a wide range of factors when making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, and other business and organizational needs. Please note, the disclosed pay scale estimate has not been adjusted for the applicable geographic location where the position may be filled.</p>
<p>
You may also be eligible to participate in a discretionary incentive bonus program which is dependent on various factors, including, but not limited to individual and organizational performance.</p><br>
<p></p>
<p><b>
Benefits:
</b></p><p>Competitive benefits package including health insurance, dental insurance, vision insurance, vacation and sick time, and a 401(k) plan with a company match.</p>
<p><b>
Equal Employment Opportunity</b></p>
<p>
It is Partner Engineering and Science, Inc&rsquo;s (The Company) policy is to provide equal employment opportunity for all applicants and employees. The company maintains a work environment that is free of harassment, discrimination, or retaliation based on an individual&rsquo;s race (including, but not limited to, hair texture and protective hairstyles such as braids, locks, and twists), color, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic characteristics), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender (including gender identity and gender expression), age (40 years and over), sexual orientation, veteran and/or military status, protected medical leaves (requesting or approved for leave under the Family and Medical Leave Act or the California Family Rights Act), reproductive health decision making, domestic violence victim status, political affiliation, or any other status protected by federal, state, or local laws.</p><br>
<p></p>
<p>
We will consider qualified applicants who have criminal histories in a manner consistent with the law.</p>
<p><b>
California Consumer Privacy Act</b></p>
<p>
We collect personal information from you in connection with your application for employment with Partner Engineering and Science, Inc. For details on what personal information we collect and the purposes for which we collect it, please visit:</p>
<p>
https://www.partneresi.com/careers/california-consumer-privacy-act/</p></div></div></div><p></p>

QA Engineer

Dario

<div>
 <strong>
  At Dario, Every Day is a New Opportunity to Make a Difference.
  <br/>
  <br/>
 </strong>
 We are on a mission to make better health easy. Every day our employees contribute to this mission and help hundreds of thousands of people around the globe improve their health. How cool is that? We are looking for passionate, smart, and collaborative people who have a desire to do something meaningful and impactful in their career.
 <br/>
 <br/>
 <strong>
  The primary responsibilities of this job include:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and execute comprehensive test plans to validate data pipelines, transformations, and business logic across onshore and offshore environments.
  </li>
  <li>
   Support R&amp;D teams by investigating and triaging incoming tickets that require deep-diving into sensitive PHI/PII data, ensuring findings are handled with the highest standards of compliance and confidentiality.
  </li>
  <li>
   Collaborate closely with R&amp;D and Engineering teams to reproduce issues, trace root causes through data, and accelerate resolution cycles.
  </li>
  <li>
   Perform data validation and reconciliation across multiple systems, ensuring accuracy, consistency, and regulatory alignment.
  </li>
  <li>
   Execute automated test scripts for web, mobile, API, and data quality testing.
  </li>
  <li>
   Collaborate with Analytics and Development teams to identify test cases, define test strategies, and ensure accuracy of data used for reporting and KPIs.
  </li>
  <li>
   Identify, document, and track defects, following through to resolution with both Data and R&amp;D stakeholders.
  </li>
  <li>
   Maintain comprehensive test documentation including STP, STD, and STR for data validation and automation processes.
  </li>
  <li>
   Monitor scheduled jobs and alerting systems for pipeline failures.
  </li>
  <li>
   Leverage AI/ML-based testing techniques, including prompt validation, model behavior testing, and intelligent defect detection, to accelerate quality at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Logic &amp; Dashboard Validation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Validate KPIs, metrics, and business rules implemented in dashboards and similar BI tools.
  </li>
  <li>
   Ensure alignment between data definitions, business expectations, and actual system outputs.
  </li>
  <li>
   Translate complex technical data issues into clear, business-friendly language for Client Success and Product teams.
  </li>
  <li>
   Partner with Data Engineering and Analytics teams to ensure data used for reporting is accurate and fit for purpose.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Serve as the QA bridge between globally distributed engineering teams &mdash; facilitating communication, test coordination, and knowledge transfer across time zones.
  </li>
  <li>
   Actively support developers with debugging, log analysis, and root cause identification during data incidents.
  </li>
  <li>
   Work closely with the Client Success team to translate technical findings into business impact &mdash; and business requirements into testable acceptance criteria.
   <br/>
   <br/>
  </li>
 </ul>
 Requirements:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in computer science, Engineering, or a related field.
  </li>
  <li>
   6+ years of experience in QA, test automation, or data quality roles.
  </li>
  <li>
   Strong proficiency in programming and query languages.
  </li>
  <li>
   Proven experience testing ETL/ELT processes and data warehouse platforms.
  </li>
  <li>
   Familiarity with data pipeline tools and orchestration systems.
  </li>
  <li>
   Experience handling or working around PHI/PII data with a strong understanding of compliance requirements(HIPAA or similar).
  </li>
  <li>
   Strong understanding of QA methodologies (STP/STD/STR).
  </li>
  <li>
   Hands-on experience with AI/ML-based test automation tools and frameworks, including validation of LLM-driven applications.
  </li>
  <li>
   Strong expertise in AI-assisted test case generation, self-healing locators, and intelligent defect detection.
  </li>
  <li>
   Experience with version control systems and CI/CD processes.
  </li>
  <li>
   Business-minded with the ability to understand and validate KPIs and reporting logic.
  </li>
  <li>
   Excellent communication, collaboration, and problem-solving skills.
  </li>
  <li>
   Ability to work independently, proactively, and across cross-functional teams including R&amp;D and Data.
   <br/>
   <br/>
  </li>
 </ul>
 ***DarioHealth promotes diversity of thought, culture and background, which connects the entire Dario team. We believe that every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions. We are passionate about building and sustaining an inclusive and equitable working and learning environments for all people, and do not discriminate against any employee or job candidate. ***
</div>


Data QA Engineer

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


Machine Learning Engineer – Remote

Middesk

<div>
 <strong>
  About Middesk
  <br/>
  <br/>
 </strong>
 Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
 <br/>
 <br/>
 Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 We&rsquo;re building AI-driven applications that power business onboarding, fraud prevention, and identity verification. With proprietary data assets and deep domain expertise, we&rsquo;re uniquely positioned to create a new generation of ML-powered solutions for trust and risk.
 <br/>
 <br/>
 We&rsquo;re looking for a
 <strong>
  hands-on Machine Learning Engineer with strong Data Science expertise
 </strong>
 to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment, monitoring, and iteration in production. Unlike larger organizations where responsibilities are split, you&rsquo;ll have the opportunity to
 <strong>
  own models from concept to production
 </strong>
 while working closely with product managers, engineers, and data platform teammates who support and amplify your work.
 <br/>
 <br/>
 This is a rare chance to join an
 <strong>
  earlier-stage company
 </strong>
 where you&rsquo;ll have broad visibility and influence, and where your ML systems will have immediate and measurable impact on customers.
 <br/>
 <br/>
 What You&rsquo;ll Do:
 <br/>
 <br/>
 <ul>
  <li>
   End-to-end ML ownership: Lead the full lifecycle of ML systems &mdash; feature engineering, model design, training, evaluation, deployment, monitoring, and iteration.
  </li>
  <li>
   Collaborate with a strong team: Work alongside data engineers, platform engineers, and product teammates who ensure you have the infrastructure, data, and context to deliver.
  </li>
  <li>
   Design &amp; deploy production models: Build high-performance ML applications in risk, fraud, trust &amp; safety, and compliance domains.
  </li>
  <li>
   Keep models healthy in production: Proactively monitor, detect drift, and retrain to ensure long-term performance and reliability.
  </li>
  <li>
   Experiment &amp; learn: Drive online experiments, offline evaluation, and counterfactual analyses to prove impact.
  </li>
  <li>
   Shape ML foundations: Contribute to the feature store, model management, training/serving pipelines, and best practices that scale ML across multiple use cases.
   <br/>
   <br/>
  </li>
 </ul>
 What We&rsquo;re Looking For:
 <br/>
 <br/>
 <ul>
  <li>
   4+ years applied ML experience with proven impact in risk, fraud, trust &amp; safety, compliance, fintech, or other high-stakes domains.
  </li>
  <li>
   Track record of owning ML models end-to-end &mdash; from research and design to deployment, monitoring, and retraining in production.
  </li>
  <li>
   Strong software engineering skills (Python, ML frameworks, deployment pipelines) and ability to write reliable, production-grade code.
  </li>
  <li>
   Hands-on experience with ML infrastructure such as feature stores, model management, training/serving pipelines, and monitoring tools.
  </li>
  <li>
   Comfortable as a senior IC: you can set technical direction, establish best practices, and mentor peers while collaborating effectively across teams.
  </li>
  <li>
   Experience working cross-functionally with data engineers, platform engineers, and product stakeholders to bring ML systems to life.
  </li>
  <li>
   Deep expertise in classification challenges such as imbalanced labels, sparse signals, cold start, and production version management.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Haves:
 <br/>
 <br/>
 <ul>
  <li>
   B2B SaaS experience, ideally building ML products for enterprise customers.
  </li>
  <li>
   Familiarity with graph, LLM-based feature generation, or AI agent workflows.
  </li>
  <li>
   Experience scaling ML across multiple products or risk domains.
  </li>
 </ul>
</div>


Machine Learning Engineer

Warner Bros. Discovery

<div><p><b><i>Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.</i></b></p><p></p><p><b>
Who We Are&hellip;
</b></p><p>When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the <i>storytellers</i> bringing our characters to life, the<i> creators</i> bringing them to your living rooms and the <i>dreamers</i> creating what&rsquo;s next&hellip;</p><p></p><p>
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.</p><p></p><p>
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.</p><p></p><p>
To see what it&rsquo;s like to work at CNN, follow @WBDLife on Instagram and X!</p><p></p><p>
TA WILL POST.</p><p></p><p><b>
How We Get Things Done&hellip;</b></p><p></p><p>
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.</p><p></p><p><b>
Championing Inclusion at WBD</b></p>
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.<p></p><p>
If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.</p><p></p>
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.</div><p></p>

Machine Learning Engineer I

Bloomberg

<div><div><div><div><div><div>Senior Software Engineer - Bloomberg Finance &amp; CFO
</div></div></div></div></div><div><div><div><div><div>Location
</div><div>New York
</div></div><div><div>Business Area
</div><div>Engineering and CTO
</div></div><div><div>Ref #
</div><div>10048383
</div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Description &amp; Requirements
</b></h2></div></div><div><div><div><div><div><div><b>Intro</b></div>
<div>
The Bloomberg Finance Development team within the Bloomberg Engineering Department, designs, deploys, and enhances custom applications which support Bloomberg&rsquo;s Finance and Chief Financial Officer community. We create and support standalone, web-based and Microsoft Office Add-In applications, infrastructure automation, and external systems integrations. We also develop services for Python Stella automations and Bloomberg Terminal applications.</div><div><b><br>
The Role</b></div>
<div>
As a Software Engineer in the Systems Engineering Team you will have the opportunity to work in close collaboration with business users to create and enhance custom applications which eliminate inefficiencies or provide brilliant solutions to seemingly intractable problems. The Bloomberg Finance Software Development Team builds and maintains web/desktop applications, Office Add-Ins, and back-end system automation tools that underpin financial processes critical to the successful ongoing operation of the entirety of Bloomberg. Because of the scope of reach of our applications, we interact with numerous existing systems and their supporting teams to utilize Bloomberg infrastructure and tools resulting in bespoke solutions to solve complex business problems.</div><div><br>
You will have the opportunity to collaborate with experienced and knowledgeable software engineers as we build solutions which free up the CFO users to maximize their impact on continuing to maintain Bloomberg&rsquo;s leadership position. At the same time, you will be exposed to a wide array of technologies and systems that you can leverage to increase your contribution to the overall success of Bloomberg.</div><div><b><br>
You will need to have:</b></div>
<ul><li>4+ years experience programming and systems design utilizing object-oriented languages (e.g. C#, JAVA)</li></ul>
<ul><li>A degree in Computer Science, Engineering, or a similar field of study or equivalent work experience</li></ul>
<ul><li>Experience in all phases of the software development lifecycle</li></ul>
<ul><li>Experience creating and working with web and Windows services</li></ul>
<ul><li>Experience with relational databases design (e.g. SQL, PostgreSQL)</li></ul>
<ul><li>Understanding of fundamental networking concepts (e.g. firewall, proxy traversal)</li></ul><div><b><br>
We would love to see:</b></div>
<ul><li>Experience in full web-stack development (i.e. JavaScript, CSS, HTML)</li></ul>
<ul><li>Significant experience with SQL syntax and stored procedure development</li></ul>
<ul><li>Experience programming in C# or Python</li></ul>
<ul><li>Experience of working within an IT organization</li></ul>
<ul><li>Comfortable working closely with users to understand and solve business problems</li></ul></div><br>
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</div></div><div><div><div>Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus</div><div><br>
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</div><div>The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.<div><br>
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We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.<br>
</div></div></div></div></div><div><div>Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.</div></div></div></div></div></div>

Senior Software Engineer - Bloomberg Finance & CFO

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