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Senior Technology Development Operations Manager Cooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team. Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure), • Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment, • Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries, • Lead the evolution of our DevOps and DevSecOps practice maturity, • Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure, • Define, document, and enforce configuration standards and governance through IaC, • Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices, • Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling, • Serve as a technical escalation point, • Work with our development and data teams to integrate products into a DevOps-managed environment, • Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases, • Participate in software releases and deployments, • Contribute to the design, update, refinement, and documentation of operational processes, • Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD, • Brainstorm new ideas and ways to improve product delivery and efficiency, • Consult peer teams for feedback during the design, testing, and implementation stages, • Serve as direct supervisor and mentor to direct reports, • Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests, • Support business professional development and continued educational opportunities, • In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles, • Proficiency in AWS or Azure architecture, configuration, and security, • Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform expertise, including advanced workflows and tools like Terragrunt, • Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Hands-on with .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Supervisory experience, • Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

About the Role The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI deployments, context pipelines, tool orchestration frameworks, and evaluation systems that ensure AI workflows are compliant, reliable, and measurable against regulatory and business standards. In highly regulated financial services environments, this role bridges AI innovation with governance frameworks including BCBS 239 (risk data aggregation), NIST AI RMF, ISO 42001, and emerging AI regulations. The holder serves as both a trusted technical advisor and strategic business partner, shaping how AI augments operations. In this role, you will: Strategic Partnership & Client Leadership * Partner with CFO, CIO, COO, Chief Risk Officer, and Chief Compliance Officer to define multi-year AI transformation roadmaps, with emphasis on use case prioritization, governance alignment, and risk-adjusted ROI. * Work "forward deployed" at client sites, embedding within business units and technology teams to own end-to-end solution delivery from discovery through production and value realization. * Lead discovery workshops to uncover high-value AI opportunities, frame problem statements, and shape outcome-driven implementations in core business processes (credit decisioning, market risk, AML/CFT, wealth advisory). End-to-End Context Architecture * Own the complete context fabric that feeds LLMs and agents: data products, RAG pipelines, vector databases, knowledge graphs, semantic layers, tool schemas, memory stores, and orchestration patterns. * Design and oversee implementation of enterprise-scale retrieval systems that integrate multiple data sources (core banking, risk repositories, regulatory data, market data, customer data warehouses) with sub-second latency and high recall. * Architect tool landscapes for agents, defining function schemas, validation rules, pre/post-execution guardrails, and escalation patterns so agents safely interact with core systems (core banking APIs, trading platforms, CRM, regulatory reporting engines). * Establish context quality and freshness standards aligned to use case sensitivity: real-time for trading contexts, hourly for compliance contexts, daily for advisory contexts. AI & Data Governance & BCBS 239 Alignment * Embed data lineage, quality controls, and metadata management into context pipelines to satisfy BCBS 239 principles (completeness, accuracy, timeliness, clarity, granularity) and emerging AI data governance expectations. * Work with Chief Data Officer and data governance teams to ensure context data products meet regulatory lineage requirements, audit trails, and change management protocols. * Design data product contracts that codify context completeness, freshness, and accuracy SLAs and make them machine-readable for automated quality gates. AI Evaluation & Safety Strategy * Define and operationalize comprehensive evaluation strategy covering accuracy, consistency, hallucination detection, bias, fairness, latency, cost, and regulatory compliance by use case. * Establish baseline and continuous metrics for both offline benchmarking (held-out test sets, red teaming) and online monitoring (production feedback, human review, alert escalations). * Partner with Evaluation Engineering and Risk teams to implement automated quality gates in CI/CD pipelines, blocking unsafe or regressing models/prompts/context changes from deployment. * Lead design and execution of red team exercises for high-risk use cases (credit decisioning, investment advice, transaction monitoring), including jailbreak detection, prompt injection, data leakage, and discriminatory output testing. Responsible AI & Governance Integration * Translate NIST AI RMF, ISO 42001, EU AI Act, and internal governance policies into architecture requirements: explainability, auditability, bias monitoring, human oversight, incident response. * Collaborate with Chief Risk Officer, compliance, legal, and audit to define AI governance controls: model risk management, data governance, algorithm risk registers, impact assessments, and escalation workflows. * Establish observability and monitoring frameworks that track AI system health (quality metrics, safety indicators, regulatory drift) and provide dashboards and alerts for business and risk stakeholders. Cloud & Platform Strategy * Own technical platform strategy for AI solutions, including cloud selection (AWS, Azure, GCP), data platform selection (Snowflake, Databricks, Palantir Foundry, Microsoft Fabric), and integration architecture. * Architect secure, scalable, multi-tenant AI infrastructure that meets financial services standards for security, auditability, disaster recovery, and regulatory reporting. * Design and implement MLOps, LLMOps, and model governance workflows to ensure reproducibility, auditability, and rapid, safe iteration on AI solutions in production. Business Development & Executive Engagement * Support go-to-market strategy for AI transformation engagements: solutioning, proposals, statement of work (SOW) development, and executive presentations to C-suite. * Build thought leadership content (whitepapers, case studies, reference architectures) on context engineering, AI governance, and financial services AI transformation. * Mentor and grow a practice or delivery team of context engineers, evaluation engineers, platform engineers, and solution architects to scale repeatable AI capability. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Dallas, Minneapolis, or Chicago. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered * 15+ years of experience across software engineering, data engineering, data science, or AI/analytics, with at least 5-7 years leading AI/ML transformation initiatives. * Proven track record leading large-scale AI or digital transformation programs at consulting firms (Deloitte, PwC, Accenture, Cognizant) or equivalent director/senior manager roles in financial services technology. * Demonstrated expertise working in a forward-deployed or embedded model, owning end-to-end solution delivery from architecture through production launch and ongoing optimization. * Hands-on technical expertise in modern AI stacks: LLMs, RAG, vector databases, cloud platforms, and ML engineering practices. * Prior experience in financial services (investment banking, capital markets, wealth management, payments, insurance) or other regulated domains (healthcare, government). * Strong communication skills: ability to translate technical AI concepts for C-suite audiences and facilitate workshops with business and risk stakeholders. These will help you stand out LLM & Agentic Systems * Deep, hands-on understanding of LLM architecture, capabilities, limitations, and fine-tuning approaches; experience with GPT-4, Claude, LLaMA, and domain-specialized models. * Advanced expertise in multi-agent orchestration patterns: hierarchical agents, collaborative agents, tool-using agents, memory strategies, and long-horizon planning for financial workflows. * Proficiency with prompt engineering, in-context learning, chain-of-thought, and few-shot prompting for complex financial reasoning tasks (credit analysis, risk assessment, advisor-style interactions). Context & Retrieval Architecture * Production experience designing and implementing retrieval-augmented generation (RAG) systems, including chunking strategies, embedding models, vector databases (Pinecone, Weaviate, Milvus), and hybrid search (semantic + lexical). * Data engineering expertise: ETL/ELT pipelines, streaming architectures (Apache Kafka, Spark Structured Streaming), data quality frameworks, and metadata management catalogs. * Knowledge graph and semantic layer experience: designing ontologies, entity resolution, relationship extraction, and knowledge graph querying for financial contexts (counterparties, instruments, risk factors, regulatory entities). * Experience with feature stores and data products as foundational context infrastructure; ability to define and operationalize data product contracts. AI Governance, Safety & Evaluation * Familiarity with AI safety and evaluation techniques: benchmark design, task-specific metrics, human-in-the-loop review, red teaming, jailbreak testing, and bias/fairness audits. * Working knowledge of NIST AI Risk Management Framework, ISO 42001, BCBS 239 data governance principles, and emerging financial AI regulations (EU AI Act, Treasury AI guidance). * Experience with model risk management (MRM) frameworks, model cards, impact assessments, and governance workflows for high-risk AI systems in regulated environments. Cloud & Data Platforms * Production architecture and deployment experience on major clouds (AWS-Bedrock, SageMaker, EC2; Azure-Copilot, OpenAI Service, App Service; GCP-Vertex AI). * Proficiency with enterprise data platforms: Snowflake (architecture, Cortex AI), Databricks (LLMs, fine-tuning), Palantir Foundry (ontologies, apps), Microsoft Fabric (data engineering, AI services). * Security, compliance, and observability: encryption at rest/in transit, IAM, audit logging, HIPAA/SOX/GDPR compliance controls, and monitoring/alerting. Software Engineering & AIOps / MLOps * Strong Python and at least one of TypeScript, Java, or Scala; experience building production ML/AI systems, not just prototypes. * Hands-on MLOps, LLMOps, and CI/CD: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), experimentation platforms, and model deployment pipelines. * API design and integration: designing REST/GraphQL APIs, integrating AI systems into microservices architectures, event-driven systems, and enterprise applications (core banking, trading systems). We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Work Authorization: Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) Salary and Other Compensation: The annual salary for this position is between $137,250 - $250,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off. * 401(k) plan and contributions. * Long-term/Short-term Disability. * Paid Parental Leave. * Employee Stock Purchase Plan Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

A pioneering AI-powered biology firm is seeking a hybrid role focused on transitioning research to production by deploying models and managing data pipelines.Candidates should have experience with distributed computing frameworks and familiarity with tools like Apache Spark and Docker.The position o

Zone 1 Pay Range$191,100—$262,800 USDAbout DatabricksDatabricks is the data and AI company. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Our Commitment to Diversity and Inclus

A major global financial institution seeks a Senior Principal Software Engineer in Jersey City, NJ, to architect and implement data platforms. The role demands expertise in Databricks, Apache Spark, and strong programming skills in Python/Java. Candidates should be adept in building scalable data pi

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. At Databricks, we are committed

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Software Engineer in our New York office. About the Role: As a Senior Software Engineer, you will play a key role in building and enhancing Applecart's software platforms. Your work will span backend services, cloud infrastructure, and front-end applications, contributing to scalable, high-impact solutions. You will collaborate with a hybrid-remote team of skilled engineers to develop well-architected systems that drive business value, whether through API development, full-stack applications, or infrastructure improvements. Who You Are You are an experienced, adaptable software developer who thrives in an ambitious startup environment. You enjoy tackling complex technical challenges and are comfortable working across different areas of the stack. You are a strong collaborator, working effectively with engineers, product teams, and non-technical stakeholders. You take pride in writing clean, well-structured code and continuously seek ways to improve development practices. What You'll Do • Design, develop, and maintain well-tested, scalable software for backend services, APIs, and front-end applications, • Work closely with engineers, often through pair programming, to ensure high-quality code and system design, • Mentor junior developers, sharing best practices in coding, design, and debugging, • Collaborate with Product and UX teams to refine project requirements and enhance user experiences, • Contribute to architectural discussions and technical design decisions to drive the evolution of our systems, • 7+ years of professional software development experience across backend, full-stack, or infrastructure development, • Strong backend development skills, with expertise in multiple programming languages, • Experience building and deploying cloud-based applications, preferably on AWS, • Proficiency in infrastructure-as-code and DevOps best practices, • Strong technical leadership skills, leading by example in design, refactoring, testing, debugging, and troubleshooting, • Experience designing and implementing complex systems such as SOAs, • Strong computer science fundamentals and knowledge of development best practices (e.g., agile, clean code, test-driven development, CI/CD), • Proficiency in Python as a primary backend language, • Experience with front-end development, particularly React, • Familiarity with data engineering tools (e.g., Apache Spark) is a plus Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - 200,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description The Data Engineering team is seeking a Senior Data Engineer to help design, build, and scale the modern data platform that powers analytics, data science, and data products across Versant brands. In this role, you’ll collaborate closely with Data Product, Data Science, Analytics, and Engineering teams to deliver reliable, high-impact data solutions used by hundreds of internal users. We're looking for engineers who enjoy hands-on development, take ownership of production systems, and influence implementation through collaboration and technical expertise. Key Responsibilities • Design and implement lakehouse architecture using Delta Lake, including medallion pipeline patterns (Bronze/Silver/Gold), schema enforcement, and time travel, • Build and operate batch and real-time ingestion pipelines leveraging Databricks Auto Loader, Structured Streaming, and Change Data Capture patterns, • Optimize performance and manage costs through FinOps strategies, including cluster sizing, workload tagging, Spark tuning, and Photon acceleration, • Design, implement, and maintain CI/CD pipelines and orchestration workflows using Databricks Workflows, Delta Live Tables, and tools such as Airflow, • Provide technical mentorship through code reviews, pairing and knowledge sharingQualifications, • Bachelor’s degree in Computer Science, Data Engineering, or equivalent practical experience, • 5+ years of experience building production-grade data pipelines in cloud environments using Spark-based platforms (e.g., Databricks, EMR, Dataproc, open-source Spark), • Expertise in PySpark, SQL, and Spark-based data processing, with experience operating pipelines at scale in production, • Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks (e.g., Spark, Flink) and query engines such as Presto, • Proficiency with orchestration tools such as Apache Airflow or Dagster, with hands-on experience in CI/CD, monitoring, alerting, and data quality for production systems, • Experience working with modern data architectures, including event-driven and distributed systems, • Proficiency with Git and collaborative development workflows, • Build and operate batch and real-time ingestion pipelines using Spark based batch and streaming patterns (e.g., Structured Streaming, CDC), with experience on Databricks or comparable platforms, • Experience building Lakehouse platforms and medallion pipelines in Databricks, • Familiarity with Unity Catalog, data governance, and compliance frameworks (e.g., PCI), • Hands-on experience with CI/CD pipelines, orchestration tools, and infrastructure-as-code, • Experience with Lakeflow Spark Declarative Pipelines (SDP), MLflow, feature stores, and MLOps practices, • Background in media and entertainment data (e.g., video metadata, ad tech, audience analytics), • Experience working with large-scale analytical datasets (e.g., event logs, clickstream data, audience metrics), • Comfortable using AI-assisted development tools (e.g., ChatGPT), • Passion for clean, reliable, and scalable data systems, • Strong communication and collaboration skills, • Ability to balance near-term delivery with thoughtful technical design, • Curiosity and a growth mindset, • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week from our NYC office., • Salary: $140,000 - $160,000. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks., • As part of our selection process, candidates may be required to attend an in-person interview with a VERSANT employee in New York. VERSANT's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law., • VERSANT is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job Description About the Role We are seeking an experienced AEM Technical Lead to join our growing Digital Solutions team. This role supports Adobe Experience Manager environments for enterprise-grade digital experiences. You will be responsible for implementing CI/CD pipelines, automating infrastructure, supporting containerized services, and guiding teams on AEM cloud best practices and web operations. You should be adept at working in fast-paced environments, leading technical operations, and managing high-availability infrastructure for content-driven digital platforms. Strong communication, systems thinking, and a passion for automation and operational excellence are essential. We are looking for candidates who can do 1 day per week in office. Possible locations are Tampa, Charlotte, New York, New Jersey and Mississauga, Ontario. Key Responsibilities * Design, implement, and maintain CI/CD pipelines and environment automation using Jenkins, GitHub Actions, Terraform, and Ansible * Manage and operate AEM as a Cloud Service environments including provisioning, configuration, deployment, and troubleshooting * Configure, monitor, and support Apache web servers and AEM Dispatcher setups * Build and manage containerized services using Docker and Kubernetes across development, staging, and production * Guide internal and external teams on performance optimization and operational best practices for AEM * Lead infrastructure builds for high-availability production environments on AWS, GCP, or Azure * Automate operational tasks and enhance deployment workflows using Bash, Python, and Groovy * Monitor site uptime and performance using tools like New Relic, Datadog, and Splunk * Maintain operational documentation including DR runbooks and infrastructure diagrams * Participate in incident response and on-call support rotation Required Qualifications * Bachelor’s degree in Computer Science or related field, or equivalent work experience * 5-7 years in DevOps or web operations roles with AEM (v6.5), including AEMaaCS * Experience with AEM migrations, Apache server, and Dispatcher configuration * Experience with configuring/maintaining CDN/WAF, Adobe Enhanced Security * Strong experience with Docker and Kubernetes in production environments * Proficient with Terraform, Ansible, Jenkins, and GitHub Actions * Solid Linux/Unix administration experience * Strong scripting proficiency in Python, Bash, or Shell * Familiarity with observability and monitoring tools (e.g., Splunk, AppDynamics) * Understanding of load balancing, clustering, and high-availability architecture Preferred Qualifications * Adobe Certified Expert: AEM Sites DevOps Engineer or Architect * Experience with Adobe Cloud Manager, Adobe I/O, and AEM Brand Portal * Familiarity with virtualization tools such as VMware or Vagrant * Exposure to PHP-based platforms and hybrid infrastructure models Preferred Tools & Technology Stack * Adobe Experience Manager (AEMaaCS), Apache HTTPD, AEM Dispatcher * Adobe Cloud Manager, GitHub Actions, Jenkins * Docker, Kubernetes, Terraform, Ansible * New Relic, Datadog, Splunk * AWS, Azure, GCP * Bash, Python, Groovy Scripting * CDN/WAF, Fastly Nice to Have Qualifications * Adobe Commerce Certifications - Adobe Certified Expert * 5+ years of experience Adobe Commerce development * 3+ years of experience working on Adobe Commerce enterprise solutions About Blue Acorn iCi Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR RFjzcMK0WC

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Engineering Manager to join and lead the team responsible for the systems that generate Garner's national healthcare provider rankings. This role reports to the VP of Health Intelligence Engineering. The ideal candidate for this role should have a high sense of ownership, be comfortable mentoring engineers of all levels, have experience with distributed systems, and be able to reliably deliver complex technical solutions. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Provide technical leadership and deliver new features aligned with Garner's strategic objectives, • Own and manage the core systems responsible for generating provider rankings, • Maintain high standards of quality while driving efficient, timely delivery, • Balance the development of new capabilities with the need to scale and optimize existing systems, • Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs, • Champion user data privacy and security across all data initiatives, • Foster a high-performing, collaborative team culture through hands-on leadership, mentorship, and talent developmentThe ideal candidate has:, • 5+ years of hands-on engineering experience, with a focus on Big Data and distributed systems, • 1+ years of managing engineering teams, with a track record of building and mentoring high performing teams, • Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc., • Proficiency with Big Data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda, • Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps, • Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success, • Preference for managing healthcare data standards (e.g. HIPAA, EDI), • A desire to be a part of our mission to improve the U.S. healthcare system

Job DescriptionAEM Senior Developer (AEM Engineer / Full-Stack – AEM Focus) Position Summary Blue Acorn iCi is seeking an experienced AEM Senior Developer to support large-scale enterprise implementations for a global financial services client. This role will focus on designing, developing, and maintaining Adobe Experience Manager (AEM) solutions, working closely with architects, UX teams, and backend engineers to deliver scalable, high-quality digital experiences. While this role includes front-end exposure, it is AEM-centric and requires strong hands-on experience across AEM components, services, integrations, and deployment environments, rather than a pure front-end or JavaScript-only profile.Location & On-Site Requirements • Hybrid role, • Office presence required once per week, • Remote-only candidates will not be consideredKey Responsibilities, • Design, develop, and maintain AEM components, templates, workflows, and services, • Participate in enterprise-level AEM implementations, enhancements, and upgrades, • Collaborate with AEM Architects, UX/UI designers, and backend developers to deliver end-to-end solutions, • Translate business and functional requirements into technical AEM solutions, • Develop reusable, scalable AEM components following best practices, • Configure and support AEM Author and Publish environments, • Work with dispatcher configurations, caching strategies, and performance optimization, • Integrate AEM with external systems and APIs (REST, JSON, SOAP), • Ensure solutions are compatible across devices and responsive layouts, • Participate in Agile / Scrum ceremonies, estimations, and sprint execution, • Support testing, deployment, and post-release stabilization activities, • Contribute to documentation and knowledge sharing across teamsRequired Skills & Experience, • 5+ years of hands-on AEM development experience, • Strong knowledge of AEM Sites, including:, • Components, • Templates, • Workflows, • OSGi services, • Sling Models, • Sightly / HTL, • Solid understanding of:, • JCR, • Apache Sling, • OSGi, • RESTful services, • Experience working with:, • Java / J2EE, • JavaScript, • HTML5 / CSS3, • Experience with AEM Author & Publish setups, • Familiarity with dispatcher configuration and caching strategies, • Experience working in enterprise, regulated environments preferred, • Strong Git experience and version control best practices, • Ability to collaborate across distributed and cross-functional teamsFront-End & Supporting Skills (Important but Not the Core Focus), • Working knowledge of modern front-end practices, • Experience with:, • JavaScript frameworks (React preferred, but not mandatory), • CSS preprocessors (SASS / LESS), • Responsive design principles, • Ability to work closely with FE specialists and UX teams rather than owning FE architecture end-to-endNice to Have, • Experience with:, • Adobe Analytics / tagging implementations, • Accessibility standards (ADA / WCAG), • CI/CD pipelines and DevOps practices, • Prior experience supporting financial services or large enterprise clients, • AEM certificationsEducation Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Blue Acorn iCi is unable to provide any immigration sponsorship or support, for this role at this time. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR ZLep1eqyDi

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Job Code N525HF Department Name Health Fund Admin Reports To Director, Health Fund Chief of Staff FLSA Status Exempt Union Code N/A Management Yes About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Under the supervision of the Health Fund Chief of Staff, the Assistant Director, Health Fund Product & Data Engineering at the 32BJ Health Fund leads the Health Fund data engineering and product development teams. This role will lead the design, development, and optimization of data-driven solutions that support Health Fund products and analytics. This role combines strategic leadership with hands-on technical expertise to ensure scalable, secure, and innovative data platforms. The idea candidate will partner with cross-functional teams to delivery high-quality data engineering solutions that enhance product performance, improve member experience, and support organizational growth. The Assistant Director, Health Fund Product & Data Engineering supports the direction and overall data strategy that is focused on supporting the goals and the mission of the 32BJ Health Fund to provide best comprehensive health benefits to 200,000 32BJ SEIU Union members and their dependents. The team focuses on leveraging over 10 years of medical claims data, provider data and pricing data (internal and external) to inform improvements to the plan design, member navigation, direct contracting, and price transparency. The 32BJ Health Fund is at the forefront of leveraging data towards healthcare transformation and this role requires a strong and collaborative leader who is not content with the status quo, able to inspire, and who looks to form long-lasting internal and external partnerships. This is an ideal opportunity for an accomplished professional, self-driven strategic thinker, skilled at navigating and balancing internal business systems with mission-based priorities. Essential Duties and Responsibilities: • Supervise, develop, and inspire a team of talented Data Engineering, Product Development, and other technical professionals., • Motivate and gain the support of others to achieve organizational goals through emotional intelligence, accountability, and respect., • Work closely with the Health Fund leadership to develop a data strategy that allows for efficient use of internal data, external data, and price transparency tools to drive rational benefit design, contracting and support for existing tools that heavily rely on data (provider search tools, internal CRM, member portal)., • Support strategy goals and objectives and work with cross-functional teams on key objectives., • Collaborate with the Chief of Staff to develop and execute the data engineering and product development roadmap aligned with organizational objectives, • Propose and develop high level KPls and metrics to measure the effectiveness of technical initiatives in serving our participants and advancing our mission., • Facilitate and coordinate work on evolving data infrastructure architecture by collaborating closely with IT, Operations, and Health Fund leadership to support the full breadth of data projects and initiatives at the Health Fund., • Lead, with the Chief of Staff and cross-functional partners, the design and implementation of scalable data architecture and analytics solutions using Databricks platform., • Support the team's professional development, performance review and the hiring process., • Guide implementation of CI/CD practices using Azure DevOps for data and analytics workflows., • Collaborate with IT to evaluate and recommend new technologies and tools to enhance the data engineering ecosystem., • Foster a culture of continuous learning, collaboration, and technical excellence., • Provide strong and compassionate supervision to a diverse team professionals., • Partner with stakeholders to translate business requirements into technical specifications and data products., • Coordinate sprint planning, backlog management, and release cycles using Azure DevOps., • Ensure timely delivery of high-quality data solutions that meet business needs., • Support change management efforts related to the implementation, transformation recommendations, and business systems improvements., • Spearhead design discussions with the team to support the development, deployment, testing, and maintenance of high-quality solutions related to data analysis, data discovery, data pipeline automation, and roll-out compelling visualizations for business analysis., • Support a culture of data innovation within the team, with a mission-focused perspective to enhance the support we provide to participants., • Perform other duties as assigned by senior leadership and executive team. Qualifications (Competencies): • 5+ years of experience in data engineering, product management, analytics, or related technical roles, • 2+ years in a leadership or supervisory capacity managing technical teams, • Proven people management experience to lead and manage staff members, both direct and indirect reports, through effective planning and organization, supervision, and performance evaluation., • Demonstrated experience with Databricks platform (Delta Lake, Apache Spark), • Proven track record using Azure DevOps for project management, CI/CD, and version control, • Ability to maintain an organized approach, clarity of purpose, and goal orientation in a rapidly changing environment throughout the organization., • Ability to develop talent and will require a leader who is focused on the well-being and resource needs of the entire team., • Strong proficiency in SQL and at least one programming language (Python, Scala, or Java preferred), • Expertise in building and optimizing ETL/ELT pipelines and data workflows, • Experience with data science, machine learning, or AI initiatives, • Knowledge of data mesh, data fabric, or other modern data architecture patterns, • Prior exposure in the healthcare claims data industry preferred Soft Skills (Interpersonal Skills): • Outstanding verbal and written communication skills, • Ability to translate complex technical concepts for diverse audiences, • Experience presenting to executive leadership and stakeholders, • Strong interpersonal skills and ability to build collaborative relationships, • Resiliency in managing competing priorities and timelines to ensure a well balanced workload for the staff., • Self-starter who is highly motivated, collaborative, and innovative. Education: Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or related field Reasoning Ability: High Certificates, Licenses, Registrations: Preferred: Databricks Certifications (Data Engineer Associate, Professional, Platform Administrator), Microsoft Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Infrastructure Engineer in our New York City office. About the Team: The mission of the data infrastructure team at Applecart is to build secure, reliable, and cost-efficient infrastructure that powers Applecart's data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Applecart. Here are a few examples of what we work on: • Enabling unified data governance capabilities for all Applecart's data assets, • Scaling our compute and orchestration layer. We're looking for a seasoned engineering leader who combines deep hands-on expertise with broad strategic impact. In this role, you won't just maintain our systems; you will help architect the evolution of our data backbone. You will be responsible for ensuring our data infrastructure scales ahead of the business' needs while setting the technical standard and mentoring the engineers who build alongside you. What You'll Do: • Design, build, and operate scalable data infrastructure that serves as the foundation for Applecart's services., • Own the roadmap for core data services (Apache Iceberg, EMR, Unity Catalog, Dagster, Snowflake) ensuring maximum uptime, reliability, and performance., • Collaborate with Principal Architect to design self-service platforms that empower other teams to deploy and manage their own workflows without bottlenecks., • Drive high-level initiatives in security, cost efficiency, and developer experience across the entire data organization., • Define data reliability standards through advanced observability, proactive monitoring, and automated alerting., • Set technical protocols and scale operational quality through proactive advocacy and documentation. You are an experienced software engineer who is passionate about data infrastructure and eager to deepen your expertise in this space. You take initiative to experiment with new tools and approaches, building POCs to validate ideas before committing to implementation. You possess a growth mindset, taking pride in solving complex problems from inception to delivery while elevating team standards. You prioritize solutions that are both technically sound and commercially viable, working in lockstep with Product managers to ensure data infrastructure enables business goals. Experiences and Capabilities You Bring: • 5+ years of software engineering experience, preferably time spent supporting or leading data infrastructure initiatives., • Deep understanding of data infrastructure reliability, scalability and observability principles., • A strong sense of ownership and a drive to deliver high-impact, autonomous results autonomously., • Excellent communication skills and the ability to collaborate across cross-functional teams and influence technical roadmaps., • Hands-on experience architecting Data Lakehouse architecture and managing cloud data warehouses (Snowflake, Redshift)., • Experience with orchestration tools (Airflow, Dagster, etc) and distributed processing framework (EMR, Spark, Ray, Kubernetes)., • Familiarity with Terraform or similar infrastructure as code tools to manage complex cloud environments., • Proficiency in Python, SQL and Bash, with the ability to quickly adopt new languages like Go as the stack evolves., • Deep familiarity with the full software development lifecycle, including CI/CD, version control, and rigorous code review standards., • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience). This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 - $200,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are looking for a Head of Data to lead Alpaca's ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team's execution, and the department's roadmap. The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search). This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data's capabilities to the executive team. Things You Get To Do: • Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery., • Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling., • Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches., • Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements., • Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL., • Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects., • Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development., • Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products., • Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows., • 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs)., • Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage., • Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL., • Track record of building self-service analytics capabilities for non-technical stakeholders., • Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services., • Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions., • Experience managing distributed/remote teams across multiple time zones., • Strong stakeholder management: you can translate between executive priorities and engineering execution., • Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation)., • Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube)., • Background in compliance analytics (AML/Actimize, KYC, margin calls)., • Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 5+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++) #LI-DL1 We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionVoleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. Your Team We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.Responsibilities • Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++), • Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python/Airflow/Go/beam), • Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React), • Integrate with new assets and markets and drive clarity on the resulting requirements, • Improve the resilience and performance of our trading systems, • Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency, • Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems, • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and companyRequirements, • Computer Science Degree or equivalent experience, • 7+ years of software engineering experience building high-performance systems, • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++, • Excellent communication and project management skills in complex technical domains, • Track record mentoring engineers and leading technical directionPreferred Qualifications, • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka), • Experience with profiling and performance optimizations on distributed systems. (Go / C++)

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash