lead software engineer - backend engineering - java/kotlin

software developer

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java aws lead software engineer Jobs in New York

java aws lead software engineer

lead software engineer - backend engineering - java/kotlin Jobs in New York

senior software engineer Jobs in New York

senior software engineer

scala developer

I8IS INC.

<div><div><div>Title: Scala Developer 
Location: Plano, TX/ New York City, NYC / Jersey City, NJ/Onsite 
Duration: Full Time 
Client: Banking 
Experience required: 10&ndash; 15 years of experience 
Interview Mode: Video 
</div><div></div> 
<div>Job Description 
</div><div>Must Have Technical/Functional Skills 
</div><ul><li>Strong hands-on experience in Scala development with expertise in building high-performance, scalable, and low-latency trading applications.</li></ul>
<ul><li>Extensive experience in Capital Markets and Trading Systems, with a strong understanding of Front Office trading workflows.</li></ul>
<ul><li>Strong proficiency in Scala frameworks and libraries such as Akka, Play Framework, Cats, ZIO, or similar.</li></ul>
<ul><li>Experience developing and supporting electronic trading platforms, Order Management Systems (OMS), and Execution Management Systems (EMS).</li></ul>
<ul><li>Strong understanding of functional programming principles, concurrency, and distributed systems architecture.</li></ul>
<ul><li>Experience working with real-time market data feeds, trade execution systems, and event-driven architectures.</li></ul>
<ul><li>Hands-on experience with messaging technologies such as Kafka, RabbitMQ, JMS, or equivalent.</li></ul>
<ul><li>Strong expertise in SQL and working with relational databases such as Oracle, PostgreSQL, or SQL Server.</li></ul>
<ul><li>Experience in developing and consuming RESTful APIs and microservices-based applications.</li></ul>
<ul><li>Familiarity with FIX Protocol and electronic trade execution workflows.</li></ul>
<ul><li>Strong understanding of trade lifecycle processes including order capture, execution, allocation, settlement, and reporting.</li></ul>
<ul><li>Experience working in Linux/Unix environments and utilizing source control tools such as Git.</li></ul>
<ul><li>Knowledge of CI/CD pipelines, DevOps practices, Docker, and containerized deployments.</li></ul>
<ul><li>Proven experience working in an Agile development environment.</li></ul>
<ul><li>Strong analytical, problem-solving, debugging, and performance tuning skills.</li></ul>
<ul><li>Excellent verbal and written communication skills.</li></ul> 
<div></div> 
<div>Roles Responsibilities 
</div><ul><li>Design, develop, and maintain Scala-based trading applications supporting front-office trading and capital markets operations.</li></ul>
<ul><li>Build and enhance high-performance, low-latency systems for market data processing, trade capture, and trade execution.</li></ul>
<ul><li>Develop scalable microservices and distributed applications to support trading and investment banking platforms.</li></ul>
<ul><li>Collaborate closely with traders, business analysts, quantitative analysts, and operations teams to gather requirements and deliver solutions.</li></ul>
<ul><li>Integrate trading applications with market data providers, exchanges, broker platforms, and internal systems.</li></ul>
<ul><li>Develop and maintain real-time data processing solutions leveraging messaging platforms such as Kafka and event-driven architectures.</li></ul>
<ul><li>Analyze and resolve production issues, perform root cause analysis, and implement preventive solutions.</li></ul>
<ul><li>Optimize application performance, scalability, and reliability to meet demanding trading system requirements.</li></ul>
<ul><li>Participate in the design and implementation of OMS, EMS, and trade processing enhancements.</li></ul>
<ul><li>Ensure compliance with development standards, security policies, and regulatory requirements.</li></ul>
<ul><li>Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.</li></ul>
<ul><li>Create and maintain technical documentation, architecture diagrams, and operational procedures.</li></ul>
<ul><li>Collaborate with cross-functional technology teams to deliver robust and reliable trading solutions.</li></ul>
<ul><li>Support application release activities and production deployments while ensuring minimal impact to trading operations.</li></ul>
<ul><li>Continuously evaluate and implement best practices in Scala development, functional programming, and distributed computing.</li></ul></div></div><div></div>

Scala Developer

Elliptic

<div>Do you want to help define the future of finance?
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.<h2 class="jobSectionHeader"> 
The impact you will have</h2>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Write, ship, and maintain production code as a hands-on engineer.</li><li>
Architect, design, and implement large-scale distributed data systems and pipelines.</li><li>
Contribute to technical decision-making across batch and streaming data solutions.</li><li>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</li><li>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</li><li>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</li><li>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</li><li>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</li><li>
Help shape the technical roadmap for data engineering across Elliptic.</li><li>
Leverage and deploy AI and agentic systems to operate more effectively.</li></ul><h2 class="jobSectionHeader"> 
Tech environment</h2>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming<h2 class="jobSectionHeader">
You will thrive here if you</h2><ul><li>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</li><li>
Strive for engineering excellence and scalable, sustainable systems.</li><li>
Use data and experimentation to guide decisions.</li><li>
Communicate openly and collaborate across teams.</li><li>
Support and coach less-experienced engineers.</li><li>
Believe every challenge is an opportunity to simplify and innovate together.</li><li>
Enjoy working with AI to benefit the company, your team and yourself.</li></ul><h2 class="jobSectionHeader"> 
What we are looking for</h2><ul><li>
Hands-on production experience with Scala and functional programming.</li><li>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</li><li>
Hands-on experience with big data frameworks such as Spark or Databricks.</li><li>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</li><li>
Judgement to balance scalability, performance, and maintainability.</li><li>
Experience with data modelling and workflow orchestration.</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Experience in stream processing frameworks and event-driven architecture.</li><li>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</li><li>
Experience working in containerised environments (Docker, Kubernetes).</li><li>
Interest in AI-driven tooling for engineering workflows.</li><li>
Interest in crypto and blockchain technologies.</li></ul>
How we work:<ul><li>
Hybrid working: The option to work from almost anywhere for up to 90 days per year.</li><li>
Remote Work Budget: $650 budget to set up your home office space.</li></ul>
Learning &amp; Development:<ul><li>
L&amp;D Budget: $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</li></ul>
Vacation / Leave:<ul><li>
Holidays: 25 days of annual leave + US Public Holidays.</li><li>
Birthday Leave: An extra day off for your birthday.</li><li>
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</li></ul>
Benefits:<ul><li>
Healthcare: Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</li><li>
401k: Company match included.</li><li>
Mental Health: Full access to Spill mental health support.</li></ul> 
 
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. 
 
No recruitment agencies please!
Compensation Range: $165K - $305K</div>

Senior Software Engineer - Data

PineCone

<div><h2 class="jobSectionHeader">About Pinecone:</h2>
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone&rsquo;s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone&rsquo;s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital.<h2 class="jobSectionHeader">
About the Role/Team:</h2>
As a Technical PMM, you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Product Launches &amp; GTM Strategy:<ul><li>
Develop launch plans for product releases, align with product teams, and manage GTM execution.</li><li>
Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc).</li><li>
Measure customer impact and adoption post-launch, iterating on strategies as needed.</li></ul></li><li>
Positioning &amp; Messaging:<ul><li>
Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions.</li><li>
Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors.</li><li>
Develop and maintain positioning for new product capabilities</li></ul></li><li>
Customer &amp; Market Insights:<ul><li>
Partner with customers to develop case studies, gathering business impact metrics and architectural insights.</li><li>
Engage in customer interviews and research to refine messaging and identify key value drivers.</li></ul></li><li>
Content Development &amp; Enablement:<ul><li>
Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessions.</li><li>
Collaborate with marketing to create social posts, blogs, and technical content.</li></ul></li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
5+ years of experience in product marketing, ideally at a developer-focused or AI/ML infrastructure company.</li><li>
Strong technical acumen with hands-on experience in AI, ML, vector search, cloud computing, or databases.</li><li>
Proven track record in launching technical products and driving adoption in enterprise and developer communities.</li><li>
Ability to translate complex technical concepts into clear, compelling messaging for different audiences.</li><li>
AI-native workflow from content creation to automating away process</li><li>
Experience working cross-functionally with Product, Engineering, Developer Relations, and Sales teams.</li><li>
Excellent written and verbal communication skills.</li></ul><h2 class="jobSectionHeader">
Bonus points:</h2><ul><li>
Experience in developer marketing or working directly with AI/ML practitioners.</li><li>
Familiarity with vector databases, retrieval-augmented generation (RAG), or search technologies.</li><li>
Knowledge of cloud infrastructure and AI model deployment.</li></ul><h2 class="jobSectionHeader">
Perks &amp; Benefits:</h2><ul><li>
Comprehensive health coverage including medical, dental, vision, and mental health resources</li><li>
401(k) Plan</li><li>
Equity award</li><li>
Flexible time off</li><li>
Paid parental leave</li><li>
Annual Company Retreat</li><li>
WFH Equipment Stipend</li></ul>
All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. 
Compensation Range: $126K - $145K</div>

Technical Product Marketing Manager

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Machine Learning Engineer, Card Tech

Blackstone

<div>Blackstone is the world&rsquo;s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone&rsquo;s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram.
Blackstone Technology and Innovations (BXTI) is the technology team at the core of each of Blackstone&rsquo;s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies. 
BXTI is fast paced and entrepreneurial &ndash; our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge. 
Your Team and Role:
Blackstone's Security Engineering (SecEng) team is responsible for securing the firm's software, cloud, AI, and platform ecosystems through scalable controls, developer enablement, and secure-by-design engineering practices.
We are seeking a Security Engineering Manager to lead Blackstone's Application Security program. This individual will be responsible for managing a team of security engineers and driving the strategy, execution, and continuous improvement of application and product security capabilities across the firm.
The role partners closely with Software Engineering, Platform Engineering, Cloud Infrastructure, Security Operations, Data Science, and Technology Leadership teams to ensure security is embedded throughout the software development lifecycle.
The Application Security team performs security design reviews, technical security reviews, secure code reviews, penetration testing, vulnerability management, software supply chain security, developer security enablement, and AI security assessments. The team also develops and operates internally built security tooling that enables secure software delivery at scale.
The ideal candidate combines strong technical depth in application security with proven leadership experience managing engineers, driving security programs, and influencing stakeholders across a large enterprise environment. 
Responsibilities:<ul><li>
Lead and manage Blackstone's Application Security team, providing technical leadership, mentoring, career development, and performance management.</li><li>
Own the Application Security program roadmap, strategy, and execution across software, cloud-native, and AI-enabled platforms.</li><li>
Oversee Security Design Reviews (SDRs), Technical Security Reviews (TSRs), Source Code Reviews (SCRs), Vulnerability Disclosure, penetration testing activities, and vulnerability remediation programs.</li><li>
Partner with engineering organizations to embed security controls and secure-by-design principles throughout the software development lifecycle.</li><li>
Drive adoption of secure development practices including static analysis, software composition analysis (SCA), SAST, secret scanning, CI/CD security controls, and policy enforcement.</li><li>
Lead software supply chain security initiatives, including dependency management, artifact security, and build pipeline protections.</li><li>
Establish security standards, reference architectures, and guardrails for cloud-native applications, AI-enabled systems, APIs, and platform services.</li><li>
Support security architecture reviews for AWS, Kubernetes, containers, Infrastructure-as-Code, and modern developer platforms.</li><li>
Drive vulnerability reduction programs and risk remediation efforts across application portfolios.</li><li>
Partner with Security Operations, Infrastructure Security, IAM, and Incident Response teams during investigations involving application or software security risks.</li><li>
Evaluate emerging security technologies and lead vendor assessments, proof-of-concepts, and strategic security tooling decisions.</li><li>
Develop metrics, reporting, and KPIs that demonstrate risk reduction and program effectiveness.</li><li>
Present findings, risks, and strategic recommendations to technology leadership, audit stakeholders, and senior management.</li><li>
Stay current on emerging threats, secure development practices, AI security risks, and regulatory requirements.</li></ul>
Qualifications:<ul><li>
8+ years of experience in application security, product security, software engineering, or security engineering.</li><li>
3+ years of experience managing security engineers or leading security engineering teams.</li><li>
Deep understanding of application security principles, secure software development lifecycles, threat modeling, vulnerability management, and secure architecture design.</li><li>
Experience conducting security design reviews, code reviews, penetration testing, and security assessments for modern software platforms.</li><li>
Experience securing cloud-native architectures, preferably AWS.</li><li>
Experience with CI/CD pipelines, developer platforms, Infrastructure-as-Code, and modern software delivery practices.</li><li>
Experience with application security tooling including SAST, SCA, DAST, secrets scanning, and developer security platforms.</li><li>
Strong communication skills with the experience influencing engineering and business stakeholders.</li><li>
Experience securing AI/ML platforms, LLM-enabled applications, or data-driven systems.</li><li>
Experience with Kubernetes, containers, APIs, and microservice architectures.</li><li>
Experience leading software supply chain security initiatives.</li><li>
A minimum of Bachelor&rsquo;s degree (or foreign equivalent) in Computer Science, Cybersecurity, Engineering, or a related field</li></ul> 
The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.
Expected annual base salary range:
$175,000 - $250,000
Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables. 
 
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone&rsquo;s sole discretion.
Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.
If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).
Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:<ul><li>
Attending client meetings where you are discussing Blackstone products and/or and client questions;
</li><li>Marketing Blackstone funds to new or existing clients;
</li><li>Supervising or training securities licensed employees;
</li><li>Structuring or creating Blackstone funds/products; and</li><li>
Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.
</li></ul>Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. 
 
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered &quot;prefer not to say&quot;). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.</div>

Security Engineer Manager, SVP – Application & Product Security

Vistar Media

<div>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
 
 
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together. 
 
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.<ul><li>
Job Responsibilities:<ul><li>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</li><li>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</li><li>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</li><li>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</li><li>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</li><li>
Also responsible for other duties/projects as assigned by business management as needed</li></ul> 
Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</li><li>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</li><li>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</li><li>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</li><li>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</li><li>
Familiarity with DevOps practices and tools for DataOps.</li><li>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</li><li>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</li></ul></li></ul>
Base Pay Range: $105,100 - $189,600<div></div> 
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<div></div> 
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</div>

Senior Data Engineer, Big Data and Cloud

JPMorganChase

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

Sr Lead Software Engineer:Java/AI

Explore 15+ Scala developer in New York this August. Find roles across top companies and apply now to boost your career.