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The Opportunity MassMutual’s AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You’ll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact • Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases—from ideation through production deployment and monitoring—using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability., • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions., • Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment., • Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable., • Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem., • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms., • Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications • 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale., • Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks., • Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery., • Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks., • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field. The Ideal Qualifications • Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols., • Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards., • Breadth across AI and data science methods—including classical ML, causal inference, optimization, and Bayesian approaches—with comfort moving across techniques as problems demand., • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search., • Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership., • Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team • Regular meetings with the AI & Data Science team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-MC MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Senior Vice President, Infrastructure Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President, Infrastructure Engineer to join our Technology Services Group (TSG) via our TSG Network team. This role is located in New York, NY or Jersey City, NJ or Pittsburgh, PA,or Lake Mary, FL. In this role, you’ll make an impact in the following ways: • F5 Application Security Manager/Web Applications Firewall Engineer role: Engineering design, development, and integration of F5 ASM WAF policies., • • Work with developers and application teams to enforce F5 WAF Traffic Manager Configurations., • • Work with information security and DMZ Network engineers and enforce perimeter WAF security in a DMZ environment., • • Be a collaborative member of a highly motivated and agile team of network load balancer engineers providing various load balancer services to critical applications., • To be successful in this role, we’re seeking the following:, • Education/Experience requirement bullet point 1 (will be added by Recruiting as it aligns to grade level), • • Experienced in engineering multiple network load balancers F5 LTM, ASM and GTM platforms. This includes engineering, installing, upgrading, and troubleshooting issues on these platforms., • • Experienced in ASM policy, VIP creation, Wide IP creation, certificate creation and updates, SSL profile creation, pool creation, and pool member modification., • • Provide load balancers WAF technical/architectural solutions to the team, • • Experienced with packet capture analysis and troubleshooting and troubleshoot application layer connectivity issues with other technology teams., • • Experience in writing and troubleshooting ASM policies and F5 iRules., • • Provide support to development teams, partners, and other stakeholders that require the use of F5 technology., • • Bash/Python/Ansible/Terraform Scripting is a plus, • • IRules expertise is a plus, • • Experience with F5 LTM/GTM load balancers automation is a plus, • • Experience with Azure/cloud load balancers is a plus, • F5 ASM Certification is a plus At BNY, our culture speaks for itself, check out the latest BNY news at: _ _ Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Sr Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, We are seeking an experienced Senior Athena Python Rates Senior Lead Software Engineer for t

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Experience contributing to large open/closed source projects Preferred Skills & Experience: • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • Driven and self-directed Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Job DescriptionTitle: Platform Database Engineer, Digital InfrastructureLocation: New York CityPosition: Full Time EmploymentJob Description:The Platform Database Engineer is responsible for administration, development and scaling Outfront Media Digital Operations database systems. The engineer will support technical initiatives to implement data systems for digital content delivery and digital boards’ uptime analyses. The engineer will work on ensuring timely data collection and the collected data is within required quality standards The engineer will also support all database related operations like backup, upgrade, performance tuning, recovery and failover. The engineer will be on call for 24x7 production issues..Core Responsibilities: • Design, administer, tune, and monitor production databases ensuring 24x7 operations and good performance;, • Collect, analyze and share data to help operations and business teams drive improvement in key business metrics;, • Utilize database and web application technologies to evaluate and develop innovative business intelligence tools and automated reports;, • Design, develop and test BI solutions such as databases, data warehouse, queries, views, reports, and dashboards;, • Assist in data conversions, imports and exports of data within and between internal and external systems;, • Manage and support development and staging database environments;, • Implement and improve backup/recovery processes, disaster recovery and failover processes;, • Troubleshoot BI tools, database systems, and overall performance;, • Interact with Business, Program Management, and Engineering on meeting ongoing reporting requirements;, • Document new and existing models, solutions and implementations;, • Strictly adhere to process, instructions, policies, and standardsRequirements:, • BS in Computer Science or information systems related field or equivalent experience, • 5+ years of operational PostgreSQL and MySQL database skills in a Linux production environment, • 3+ years of experience supporting fast growing mission critical production systems, • Knowledge of business intelligence tools and systems, • Data analysis and data mining skills, • Good Linux and shell scripting skills (PHP, Python, LAMP), • Self-starter and independent worker, • Good verbal and written communications skills, • Good documentation skills, • Experience with enterprise data warehouses a plus, • MySQL/PostgreSQL Management Certifications highly desired, • Ability to create clear step by step knowledge base documents for NOC and field personnel to follow and resolve known issues, • Participate in 24x7 on call rotations

Job Description Job Title: QA Lead / Senior Quality Assurance Engineer Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate: 45$/Hr on 1099/ C2C Overview We are seeking an experienced and detail-oriented Senior QA Engineer to drive quality strategy, test planning, and execution across multiple product teams. This role requires strong technical expertise in both manual and automated testing, leadership capabilities, and the ability to ensure delivery of high-quality, reliable software. The ideal candidate is proactive, collaborative, and passionate about building scalable QA processes. Key Responsibilities • Lead overall QA strategy, planning, and execution across multiple teams or product releases., • Design, develop, and maintain automated test scripts for regression, integration, and functional testing., • Perform manual testing to validate new features, user workflows, usability, and edge cases., • Test vulnerability fixes and ensure the application works as expected, validating that security patches do not introduce regressions or impact existing functionality., • Collaborate closely with developers, BAs, and Product Owners to define clear acceptance criteria and ensure thorough test coverage., • Establish and govern QA processes, standards, and best practices across teams., • Review and analyze requirements, specifications, and technical design documents for clarity, completeness, and testability., • Maintain and improve automation frameworks, integrating them seamlessly with CI/CD pipelines., • Identify, document, prioritize, and track software defects, partnering with engineering teams for timely resolution., • Mentor and guide junior QA engineers in both manual and automation testing techniques., • Prepare and present testing progress, quality metrics, and release readiness reports to stakeholders. Qualifications Required • 5+ years of experience in software QA, including 2+ years in a lead or senior QA role., • Strong experience in both manual and automated testing for web or API-based applications., • Hands-on expertise with automation tools such as Selenium, Cypress, Playwright, or Postman., • Solid understanding of QA methodologies, SDLC, and Agile/Scrum practices., • Proficiency with scripting languages such as Python, JavaScript, or Java for automation., • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps., • Excellent analytical, debugging, and problem-solving skills., • Strong communication and collaboration abilities., • Experience with API testing and performance testing tools such as JMeter or LoadRunner., • Knowledge of version control systems, particularly Git., • Experience testing in AWS or other cloud environments., • Familiarity with test management tools such as Jira, Zephyr, or TestRail. Competencies • Demonstrated leadership and mentorship within cross-functional teams., • High attention to detail with a passion for delivering high-quality, reliable software., • Ability to balance strategic QA oversight with hands-on participation., • Strong communication skills, able to translate technical issues into clear business outcomes.

Job DescriptionWho we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week. As Data Scientist at Findigs, you will strengthen our data science and applied machine learning depth: owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes. Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights. Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time. Where you will make an impact: • DecisionAssist model development: Own feature engineering, model iteration, and evaluation for DecisionAssist. You will work across two surfaces: (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why., • Experimentation and A/B testing: Design and analyze experiments across underwriting, renter-facing, and PMC-facing product changes, and bring statistical rigor and clear recommendations., • Predictive and risk modeling: Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud signals)., • ML infrastructure: While you won’t own the warehouse or pipeline architecture, you should be comfortable writing clean Python, working in dbt, and operating in a modern data stack., • Research and analysis: Tackle high-impact, ad-hoc questions from Product and Customer teams; e.g., what’s driving approval-rate variance, which cohorts behave differently, and what a given signal actually predicts.We’d love to hear from you if you have:, • 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred), • Strong Python skills (pandas, scikit-learn, statsmodels or equivalent); this is a coding role, • Ability to design, run, and interpret A/B tests independently, • Strong SQL skills and comfort working in a modern data stack (dbt, Snowflake, Sigma, or similar), • Solid grounding in supervised learning fundamentals (classification, regression, tree-based methods), • Strong written communication and the ability to explain model behavior and tradeoffs to non-technical partners (e.g., PMs, CSMs), • Intellectual curiosity about housing and credit data in particularNice-to-haves:, • Experience building or contributing to a credit, risk, or underwriting model in production, • Familiarity with fair lending / disparate impact considerations in ML (important given the real-world consequences of renter screening), • Experience working on systems where model output directly affects real people, with a strong sense of responsibility and rigor, • Ability to move between exploratory research and production-grade work without needing separate tracks, • LLM experience (fine-tuning, retrieval, or integration), especially as we automate parts of underwriting and screening workflows, • Startup / scale-up experienceWhat we offer:, • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our NoHo office., • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change., • Competitive Compensation: Competitive base salary + Pre-IPO equity., • Generous Time Off: We trust our team to manage their own time and workload. That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge. We also observe all-company holidays., • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.Compensation disclosure as required by NYC Pay Transparency Law.Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, and the scope of responsibilities in the role. In addition to cash compensation, all full time employees receive an equity compensation package.Interviewing with Us We're committed to making our interview process as effective and candidate-friendly as possible. We use a tool called Brighthire.ai to record our interviews so that our interviewers can focus entirely on the conversation and not get distracted by taking notes. Please note, if you move forward with the interview process, you'll always have the option to opt out of the recording. We are an equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Product Manager, Data and Internal Products - this is a fully remote position for US-based candidates. Salary range: 180-230K USD plus benefits plus equity.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics. What will you be doing? Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems. Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services. Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs. Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements. Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. Key Requirements 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred. Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake). Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems. Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies. Tech stackSpark, Databricks, BigQuery, Snowflake Requirements: 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory) Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory) At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory) Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory) Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory) Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory) Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have) Located and authorized to work in the United States. (Mandatory) Why you should join Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities. $85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway. Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider. Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents. Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.

Job DescriptionAbout Us At Valdera, we help manufacturers bring their ideas to life by transforming how they source materials. Our platform makes it easy to find the best materials and suppliers, enabling them to build high-quality products at scale and deliver to millions worldwide. We are a fast-growing team with a proven track record of working with Fortune 500 industrial manufacturers, beauty brands, and chemical companies. We hire talented, driven individuals who thrive in high-performance environments and want to grow their careers quickly. Our culture empowers top talent to take on meaningful challenges, collaborate with industry leaders, and see the real impact of their work. If you’re looking for a fast-paced environment where your ideas drive change, Valdera is the place for you.Join us and help shape the future of manufacturing. Role Description We are looking for a talented Senior Software Engineer with startup experience. You’ll work very closely with our executive team to build end-to-end systems for our buyers, suppliers, and internal stakeholders. We prefer to use an open source stack with proven technologies. Since products like ours tend to acquire a lot of complexity over time we are looking for engineers who can make mature and principled decisions in the face of competing priorities. Role Responsibilities • Own end-to-end feature development – from design to deployment – ensuring quality, scalability, and business impact., • Build high-performance, maintainable systems that serve buyers, suppliers, and internal stakeholders., • Independently plan and execute technical designs that accommodate evolving business needs., • Write high-quality, well-tested code that prioritizes simplicity, changeability, and modularity., • Take full ownership to launch features efficiently without reliance on a dedicated QA team, ensuring every release meets its intended goals., • Proactively identify and resolve technical challenges before they become blockers., • Align technical solutions with business objectives by collaborating closely with leadership., • Prioritize work based on impact, ensuring the most valuable features are delivered first., • Communicate technical concepts clearly to both technical and non-technical stakeholders., • Adapt to global time zones when necessary to support critical business needs., • Show a commitment to putting in the necessary time and effort to exceed expectations and achieve ambitious startup goals, • Adapt to global time zones to support customer needs and urgent internal prioritiesExperience & Qualifications, • 5+ years of experience in software engineering, with a proven track record in startup environments, • Experience building and maintaining complex web applications at scale, • Track record of making mature technical decisions in fast-paced environments, • Demonstrated ability to balance technical debt with business priorities, • Experience collaborating closely with business executives and leaders, • History of quickly learning new skills required to deliver value in (almost) any business situation, • Track record of executing with a high attention to visual and written detail, • Experience with a wide range of tools/technology products, and ability to pick up new ones easily, • Excellent written and verbal communication skills, • Experience successfully navigating ambiguous problems, • Located in the greater New York area and willing to meet in person occasionally for team meetings, • Eligible to work in the United States and live in the United States (we are unable to provide visa sponsorship at this time)Technology stack, • Typescript, • Python, • Postgresql, • Google Cloud, • TerraformBenefits Valdera offers generous benefits to employees. Full time employees are eligible for premium healthcare, dental, and vision insurance coverage. You will be provided a more detailed breakdown of your options prior to joining Valdera. Equal Opportunity Employer Statement Valdera is an equal-opportunity employer committed to building a diverse and inclusive team. We are dedicated to maintaining a workplace free from discrimination, where everyone feels valued, respected, and empowered to contribute. Please note that Valdera uses E-Verify to confirm the identity and employment eligibility of all new hires. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Us We are building the next generation of tax-advantaged separately managed accounts (SMAs) — a platform that fuses institutional-grade quantitative research, scalable technology, and hands-on client expertise. Our mission is to deliver hyper-personalized, tax-aware portfolios at scale. We're not looking for a “relationship manager.” We’re looking for an investment athlete who can sit at the intersection of clients, quants, and code — people who are fluent in markets, comfortable in Python, and credible in front of sophisticated allocators. The Role As a Senior Client Portfolio Manager (CPM), you’ll translate quantitative insights into client outcomes and answers. You’ll partner with portfolio managers, engineers, and customer success representatives, to customize portfolios, explain performance and risk, and help scale a platform that is redefining wealth management. This is a high-visibility role where you’ll be trusted to: • Engage directly with clients/advisors as an ambassador of the SMA platform., • Interpret portfolio data — exposures, tax trades, drift, risk — and explain in a way clients can act on., • Run analyses in Python (pull time series, diagnose factor exposures, validate tax trades, build quick diagnostic dashboards)., • Collaborate with research and engineering teams to translate client needs into features and workflow improvements., • Proactively monitor accounts for opportunities: tax-loss harvesting, transitions, customization, compliance with restrictions. What We're Looking For • 3+ years experience in asset management, wealth management, or investment consulting with direct client responsibility., • Strong command of equity markets, factor risk, and tax-aware investing., • Hands-on Python skills — you don’t need to be an engineer, but you must be able to slice data, run analyses, and speak the same language as quants and developers., • Ability to context-switch between technical deep dives and client-ready narratives., • Proven record of earning trust with sophisticated clients/advisors., • CFA charterholder, or equivalent advanced credential preferred. Why Join • Impact: Help define the future of tax-aware SMAs., • Exposure: Work alongside leading investment, quant, and fintech professionals., • Growth: Rapid career trajectory in a high-visibility, high-growth business., • Culture: Entrepreneurial, collaborative, and relentlessly client-focused. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Work Authorization: Applicants must currently be authorized to work in the United States on a full-time basis. Steven Winter Associates (SWA) does not sponsor employment-based visas (e.g., H-1B, OPT, etc.) for this position, now or in the future. Why Steven Winter Associates? At SWA, you’re not just joining a company, you’re joining an employee-owned team committed to making buildings healthier, more sustainable, and lower-carbon. • Be part of a collaborative, and supportive environment where your ideas matter., • Work on real projects, seeing the impact of your work in the field and in communities., • Learn from experienced building science professionals. Why This Role Matters: Steven Winter Associates (SWA) is seeking a highly technical and strategic engineer to contribute to the growth and evolution of our Building Decarbonization Research & Pilots practice. This role sits at the intersection of technical implementation, applied research, and market transformation. You will lead complex decarbonization projects spanning electrification, measurement and verification (M&V), emerging technologies, market and cost assessments, and implementation strategies for multifamily and commercial buildings. You thrive in ambiguous environments, solving real-world implementation challenges and translating technical findings into clear, actionable guidance for clients, programs, and industry stakeholders. The role also supports industry thought leadership, client relationship development, and the evolution of SWA’s decarbonization services. The proposed annual salary range for this position is $110,000 - $155,000 based on a 40-hour work week. Final compensation may vary based on the selected candidate’s confirmed job-related skills, qualifications and experience. • The final title and level for this position will be determined based on the selected candidate’s experience, leadership capabilities, and overall alignment with organizational needs. Responsibilities: Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. Technical Project Leadership & Delivery (55-70%) • Lead complex building decarbonization projects including market research, field studies, pilot evaluations, retrofit design, and measurement and verification (M&V) from concept through implementation and evaluation., • Develop implementation-focused solutions to technical and operational challenges., • Translate technical findings into actionable recommendations for clients, utilities, public agencies, and industry stakeholders., • Manage project financial performance, scope, and delivery quality., • Collaborate with utilities, government agencies, program administrators, and industry partners to advance decarbonization and market transformation goals., • Develop frameworks, tools, templates, and technical resources to improve delivery consistency and quality. Industry Leadership & Business Growth (10-20%) • Represent SWA at technical conferences, technical working groups, industry events, and stakeholder meetings., • Contribute to white papers, case studies, presentations, and other thought leadership materials., • Develop and maintain relationships with clients, utilities, public agencies, and industry partners., • Identify opportunities and create proposals for new business opportunities aligned with SWA’s mission and growth strategy. Team Collaboration & Leadership (15-30%) • Mentor and support technical staff across project delivery, field investigations, and analytical work. Formal supervisory responsibilities may be included depending on experience and interest., • Support internal knowledge-sharing and technical training initiatives., • Provide technical review and guidance across SWA’s decarbonization and building performance projects. Who You Are: You are an analytical and collaborative problem-solver who enjoys bridging the gap between research and real-world implementation. You are leader who can comfortably navigate complex projects across technical, operational, and stakeholder groups. What You Bring: • 10+ years in building decarbonization, energy efficiency, applied research, building systems consulting, or MEP building systems consulting., • Bachelor’s degree in engineering, Building Science, Architecture, or related technical field., • Professional Engineering License., • Demonstrated experience leading technically complex projects through implementation., • Deep technical knowledge of building HVAC, domestic hot water, controls, and/or electrical systems., • Proven experience with building electrification projects, M&V strategies and execution, pilot programs, or applied building performance research., • Proven experience reviewing technical analyses, engineering documentation, and field performance data., • Proven experience in retrofit design., • Strong project management and client management experience. Preferred Skills: • Experience with multifamily building decarbonization and retrofit implementation., • Familiarity with NYC, Massachusetts, Mid-Atlantic climate and energy policies, utility programs, and market drivers., • Experience working with NYSERDA, utilities, public agencies, or market transformation initiatives., • Experience developing technical guidance, market assessments, or implementation frameworks., • Existing industry relationships and external visibility within the building decarbonization sector., • Experience mentoring or training technical staff., • Experience with CAD, Power BI, Python. Application Process: • A cover letter is requested for consideration outlining interest., • Resumes will be reviewed on a rolling basis. Qualified candidates will be invited to complete a 30-minute technical assessment to evaluate their skills. Selected candidates will proceed to up to 3 rounds of interviews, with the final round including a presentation., • If you meet at least 75% of the qualifications, we encourage you to apply., • SWA is committed to inclusion and will provide reasonable accommodation for individuals with disabilities. Physical Requirements: While performing the duties of this job, the employee is regularly required to sit. The employee frequently is required to walk; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand. The employee may be required to lift or move objects up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and the ability to adjust focus. Travel Requirements: Occasional overnight travel may be required (Less than 15%). Frequent local field visits in the Metro area will be necessary (estimated at 15-30%). Working Environment: Recent hires may be required to work in-office five days per week during onboarding, with the potential for a more flexible schedule following completion of training and supervisor approval. Under SWA’s current policy, team members are expected in the office at least three days per week, with additional flexibility based on job duties and fieldwork requirements. This is a hybrid position that includes office, remote, and field-based work. Responsibilities include project meetings, technical analysis, site visits, and field investigations at active construction sites and occupied buildings. Some local and occasional overnight travel may be required. Benefits & Perks: SWA invests in our people, and we’ve designed a benefits package tailored to meet the needs of our team to include medical, dental, vision, 401k (with match), commuter benefits, etc. Company Principles: Be visionary. Foster camaraderie. Take ownership. Think holistically. Improve the built environment. SWA is an Equal Opportunity Employer – all qualified applicants will be afforded equal employment opportunities without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or marital status. Diversity, Equity, and Inclusion (DEI): SWA is a workplace where we are aware of and welcoming of the ways in which we are all diverse as evidenced by a culture of listening and understanding. We endeavor to create a workplace where people feel empowered to act; a safe place where people are open to discussing different views; ongoing education opportunities around diversity, equity, and inclusion; and to build a culture of belonging and accountability. What to Know: At Steven Winter Associates, Inc. (SWA) our mission is to make buildings more sustainable, energy-efficient, accessible, healthy, and resilient, not just with better structures, but to the communities they serve. Working with architects, engineers, developers, owners, and project teams, our team of consultants is always pushing boundaries, collaborating, and problem-solving to deliver solutions that benefit people and the planet. Join us and become part of a company where your work helps shape a better built environment and where your voice matters. For further information on Steven Winter Associates, please visit http://www.swinter.com.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always., • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: The Engineering team at SmithRx is developing the next-generation modern pharmacy benefits management (PBM) platform that will change how companies administer and manage pharmacy benefits. Our unified technology platform provides real-time actionable insights that drives cost savings, powers clinical services and results in a brilliant customer experience. A unified technology platform exists nowhere in the pharmacy benefit ecosystem to programmatically solve widespread deficiencies. The result is a PBM delivering unmatched service quality and operational efficiencies that exceeds all industry standards. As a Senior Staff Automation Engineer you will have responsibility for the overall test strategy of the products you test. You have an automation-first mindset, leveraging your experience to determine where to add tests to best maximize impact. You will create automated tests to help build and improve our regression test suites. Not only will you help maintain these frameworks, but you will constantly look to improve them so they are reliable, efficient, and easy to use. You will be focused on the automation ecosystem as a whole, evaluating how all test frameworks work together while defining the architectural standards for automation. While embedded in your sprint team you will be the primary quality advocate who champions best practices in testing, develops deep product knowledge, and consistently delivers high quality code to our users. You take ownership of complex cross-cutting projects by creating comprehensive test strategies and communicating quality status with all stakeholders. You will help maintain and improve our quality standards, constantly raise the bar, and show a passion for finding defects before they are shipped. What you will do: • Develop and maintain automated tests to help ensure high test coverage and fast feedback on defects, • Continuously maintain and improve our test frameworks, • Help define the test architecture across all test frameworks and tooling, • Manage test strategy, product testing, and planning within your sprint team, • Create testing-related documentation including test plans and test cases, • Find and report bugs and track these to resolution in a timely manner, • Collaborate with the Product team to provide valuable insight and input to help create impactful features, • Provide clear test results to Development and Product teams to help manage project expectations/progress, • Create and maintain security and performance tests, • Develop deep expertise in the SmithRx products, • Utilize AI tools like Playwright MCP, Claude, and Copilot to realize efficiencies in your daily work, • Maintain and refine quality metrics to help track and communicate overall product health What you will bring to SmithRx: • Bachelors Degree in Computer Science or equivalent work experience, • 12+ years of experience in QA and automation testing with a demonstrated track record of team leadership, • Experience with one of the following languages: Python, Typescript, Java, or Javascript, • Experience with writing automated tests for API's in a scripting or programming language, • Experience with API automation frameworks such as Pytest or REST Assured, • Experience with automation frameworks such as Selenium, Cypress, or Playwright, • Familiarity with Page Object Model for UI automation, • Familiarity with CI/CD systems such as GitHub Actions, CircleCI, or Jenkins What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities

Job Description ABOUT THE ROLE We are a consulting firm that embeds AI talent directly into client organizations to rebuild how work gets done. Forward Deployed Engineers are production software engineers: full-stack engineers with infrastructure and deployment expertise. Embedded inside a client's AI Engineering team, you will design, build, test, deploy, and operate production-grade applications and the scalable infrastructure that supports the client's internal and external AI products - connecting their systems and software development lifecycle to their AI and agentic tooling. You should be AI-native and experienced in the software development life cycle (“SDLC”). You read, write, and debug real code; when something breaks in production, you are the person who can open it up and fix it. You join as a full-time employee of Automated Industries. Client engagements are three months long, with the opportunity to convert to a full-time role with the client if it's a mutual fit. WHAT YOU'LL DO • Embed full-time inside the client's AI Engineering team as a production engineer, • Design, build, test, deploy, and operate production-grade applications and the scalable infrastructure behind the client's internal and external AI products, • Build and maintain CI/CD pipelines and own releases through the full software development lifecycle, • Apply reliability engineering practice: instrumentation, monitoring, and debugging production systems - find what's broken and fix it in code, • Architect and integrate AI systems into existing applications: context management, model deployment, and agentic tooling wired into real infrastructure, • Extend and support the client's existing AI platform work - build on what exists rather than greenfielding, • Use Claude Code and AI-assisted development daily, while understanding every line you ship WHAT WE'RE LOOKING FOR • 3-5 years of full-stack engineering experience with production systems you can point to, • Python; AWS and/or Google Cloud Platform. Amazon Bedrock experience is a plus, • Working knowledge of CI/CD pipelines and the software development lifecycle, • Site reliability engineering (“SRE”) fundamentals: reliability, observability, and the instinct to debug a broken system down to the code, • Understanding of how AI systems work in production: context, model deployment, agent architectures, • Clear communicator: you can explain technical decisions to engineers and non-engineers alike BONUS POINTS • Amazon Bedrock, agentic frameworks, or LLM application work you have shipped to production, • Observability and infrastructure tooling (Terraform, Docker, Kubernetes, monitoring stacks), • Prior consulting, client-embedded, or forward-deployed experience COMPENSATION & DETAILS • $110,000 - $140,000 annualized salary, commensurate with experience, • Role is for an initial 3-month engagement at dedicated client. There is an opportunity to convert to full-time employment with the client if it's a mutual fit, or to continue with us on the next engagement, • Full-time; on-site at the client in New York City Tuesday through Thursday To apply, show us something you built and shipped - a deployed system, a pipeline, a repo, or a Claude Code session that ended in production. We care more about what you've made than your resume.

Job Description About us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role We're looking for an exceptional Forward Deployed Engineer (FDE) to join our product engineering team. This is an engineering-first role: FDEs are the technical owners who take the Encord platform into our most strategic and advanced customer environments, working directly with clients' engineering teams to identify problems and design, build, and ship the solutions that solve them. As an early member of the Forward Deployed team, you'll have an outsized impact on shaping a critical function for Encord and our customers, in a role that combines hands-on engineering with direct client ownership. You’ll do tough system design calls under real customer load, and customers will trust you to get their hardest integration and workflow problems actually solved. You’ll operate autonomously, defining your own path to a solution, managing client relationships directly, and feeding what you learn straight back into the product roadmap. As an end-to-end owner of the deployment process, you will work across a variety of problems: technical engineering, operational excellence, and strategic product work. Expect to build data integrations, guide customers with best practices, demo the product, and contribute to the product roadmap. What you'll do Design and ship high-quality, production-grade code that integrates Encord into customers' most complex data and ML pipelines Own system design decisions for customer deployments, balancing correctness, scalability, and speed Work directly with clients' engineering teams to diagnose problems, scope solutions, and ship fixes end-to-end Build data integrations and technical solutions that support customer onboarding, adoption, and scale at pace Communicate technical plans and tradeoffs clearly to both engineering counterparts and non-technical stakeholders Operate with a high degree of autonomy: identify the right problem to solve, decide how to solve it, and see it through with minimal oversight Collaborate with product and engineering to feed customer insights back into the roadmap Help define and scale the Forward Deployed function as an early team member Who we're looking for A strong software engineer with excellent system design instincts and a track record of shipping high-quality code, frequently and reliably An excellent problem-solver who can take an ambiguous customer situation, break it down, and design a technical solution from scratch A great communicator who is motivated by building customer relationships and solving customer problems Entrepreneurial and autonomous mind, energized by ambiguity and competing technical priorities, and able to manage client relationships and technical delivery without close supervision Ambitious and hardworking, with a track record of top-percentile performance in whatever environment you've been in, whether engineering, academia, business, or sport Experience requirements 3–8 years in a software engineering role; Python is a big plus Experience building or working with data integrations and APIs Strong written and verbal communication skills Ability to thrive in ambiguity and take ownership without being told what to do Prior experience at a high-growth startup is a plus Why Encord Competitive salary, commission, and meaningful equity in a high-growth startup Clear, accelerated growth opportunities as the company scales rapidly Strong in-person culture: 4–5 days/week in our newly launched office Flexible PTO to fully recharge 18 paid vacation days in the U.S. plus federal holidays Annual learning & development budget Comprehensive health, dental, and vision coverage Frequent travel opportunities across the U.S., London, and Europe Bi-annual company offsites, twice-weekly team lunches, and monthly socials

Job DescriptionSalary: 65,000 to 85,000 Ninth Wave Pre Sales Engineer Full Time Opportunity New York, NY Role Overview We are looking for a Pre-Sales Engineer to join our rapidly growing SaaS platform company. The Pre-Sales Engineer will collaborate and support our sales team as the technical expert in customer presentations and discussions. Further, this role will be the key liaison between the market and the product team to help ensure a market-driven product roadmap. The Pre-Sales Engineer will help develop solutions that meet the needs of our enterprise customers and be involved in launching new products and services leveraging the Ninth Wave Platform. You will also respond to requests from customers for information, proposals, and the technical details of the proposed solutions. The ideal candidate will have to balance technical, commercial, and operational challenges. Responsibilities • Lead complex technical discussions with customers and prospects to requirements, • Serve as the primary technical contact for prospects during the sales process, • Interpreting client background information to tailor the solution presentation to the client's specific environment to effectively demonstrate the Ninth Wave value add, • Help to drive ongoing client success and satisfaction on the platform., • Respond to and resolve a wide range of customer inquiries from basic education to technical operations., • Collaborate across Ninth Wave product, engineering, sales, and client services functions in orchestrating solutions to customer needs., • Provide expertise on the Ninth Wave Platform, evangelizing and educating on marketing use cases and their execution., • Identify and tackle obstacles that arise in implementation, • Participating in user groups, trade shows, and conferences as required Required Qualifications • Bachelor's Degree and 4 years of experience in a technology solutions or implementation role for a Technical SaaS product servicing Financial Institutions, • Excellent presentation skills (in-person and remote), ability to own the room with confidence, • Well-organized, goal oriented, flexible with a willingness to grow professionally, • Strong analytical skills, adaptable and the ability adjust to atypical issues/opportunities, • Is comfortable interacting with customers at all levels along with appropriate representatives to analyze, validate, specify, verify, and document business strategy, • Comfortable working under high levels of accountability and measurable performance, • Can work efficiently and productively without detailed direction or guidance, • Has the ability to handle confidential information in a professional manner and capable of exercising good independent judgement, • Familiarity with financial services data connectivity protocols, e.g., OFX, FDX, BAI2, • Familiarity with different methods of data sharing in financial services today, i.e., Restful APIs, • Familiarity with different methods of IAM (identity and access management), specifically oAuth2, • Comfort with technology and general knowledge of NoSQL and SQL databases and scripting languages (e.g., Shell, Bash, JavaScript, Python, Go, Lua, Ruby, etc.), • Excellent written and verbal communication skills collaborating with business and technology stakeholders., • General knowledge of various digital marketing tools: analytics, attribution, ad serving, DMPs, push, social media., • Strong attention to detail and passion for solving problems Preferred Qualifications • Experience around SaaS based accounting applications like NetSuite. Microsoft Dynamics or Sage, • Knowledge of financial planning applications

Job Description Technical Integration Engineer (FIX Protocol) 2Bridge has been engaged in the search for a Technical Integration Engineer supporting a technology-driven organization operating in performance-sensitive environments. This role sits at the intersection of backend systems, client integrations, and platform reliability, with a strong emphasis on real-time connectivity. This role offers a flexible hybrid or remote work model. Target compensation is $140,000–$200,000 plus bonus. Benefits include medical, dental, and vision coverage, 401k, paid time off, flexible working arrangements, and a discretionary performance-based bonus. The Opportunity • Own and support client-facing integrations in latency- and reliability-sensitive environments, • Work directly with external clients, integrating real-time trading and messaging workflows, • Gain deep exposure to production-grade financial connectivity and protocols What You’ll Do • Integrate clients with backend services using FIX protocol as a primary interface, • Support and troubleshoot FIX sessions, message flows, and connectivity issues, • Integrate additional services using REST or gRPC APIs where applicable, • Investigate logs and system behavior to diagnose integration and connectivity issues, • Collaborate with internal engineering teams to improve integration reliability and tooling, • Communicate technical concepts clearly to non-technical stakeholders What We’re Looking For • Hands-on experience working with FIX protocol in production environments (required), • 2+ years in a technical role such as integration, solutions engineering, DevOps, or SDET, • Scripting experience in Python or PowerShell; exposure to C# or Java is a plus, • Comfort querying SQL databases across multiple tables, • Experience supporting client-facing systems in time-sensitive or regulated environments Why This Role Is Interesting • High ownership role with direct client and market impact, • Daily exposure to real-time, mission-critical systems, • Balanced mix of technical depth, protocol-level work, and client interaction The hiring organization is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age,

Job Description Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet. Rumble Cloud is seeking a Senior Platform Engineer (Security) to help operate, secure, and continuously harden the infrastructure that powers our public cloud, built on OpenStack and Ceph. This role sits at the intersection of platform engineering and security operations: you'll apply and maintain security hardening across our Linux fleet and cloud control plane, track vulnerabilities through to remediation, and serve as a key engineering partner for internal and external audits. Strong Linux fundamentals are essential, and demonstrated security expertise, ideally backed by certification, is a significant differentiator. You'll work across operating systems, OpenStack and Ceph components, and Kubernetes, using automation to keep baselines consistent and auditable. You'll partner closely with cloud engineering, DevSecOps, and compliance stakeholders to ensure the platform meets both reliability and security expectations as it grows. If you enjoy hardening Linux at scale, working directly with vulnerability and control frameworks such as CIS Benchmarks and ISO 27001, and contributing to the security posture of mission-critical cloud infrastructure, this role offers substantial impact and technical depth. Responsibilities • Assess, implement, and maintain security hardening (CIS Benchmarks, STIGs, or equivalent) across Linux hosts, hypervisors, and the cloud control plane, using automated baselines with tools such as Ansible and Terraform., • Track and remediate vulnerabilities at the infrastructure layer, including operating systems and platform components such as OpenStack, Ceph, and Kubernetes, maintaining accurate inventory, patch SLAs, and risk-based prioritization., • Coordinate with the DevSecOps Engineer on application- and pipeline-layer remediation, ensuring alignment between platform hardening and SSDLC practices., • Serve as a primary technical contributor to internal and external audits, including evidence collection, control narratives, and responses to auditor questions, mapping work to ISO 27001 and other relevant frameworks., • Operate and improve core platform services on Linux infrastructure, contributing to automation, capacity planning, incident response, and reliability engineering., • Help design logging, monitoring, and alerting that support both operational and security use cases, in collaboration with platform, security, and SRE teams., • Document hardening baselines, security controls, and operational procedures clearly so that they are repeatable, testable, and auditable.Qualifications, • Strong Linux systems engineering background (systemd, networking, storage, package management) on major Linux distributions., • Hands-on experience applying security hardening standards such as CIS Benchmarks, STIGs, or equivalent at production scale., • Solid understanding of vulnerability management (CVSS scoring, risk-based prioritization) and Linux security controls (SELinux or AppArmor, auditd, PAM, host firewalling)., • Experience with infrastructure automation using Ansible, Terraform, and scripting in Bash and/or Python., • Experience supporting compliance or audit activities, including evidence collection, control documentation, and working directly with auditors or security teams., • Strong understanding of identity and authentication concepts (SSO, OAuth2/OIDC, privileged access) and excellent documentation skills.Preferred Qualifications, • Security certifications such as CISSP, CISM, CCSP, GSEC, GCIH, Security+, or equivalent; more senior certifications are a significant plus., • Experience supporting ISO 27001, SOC 2, PCI DSS, or FedRAMP audits in a hands-on capacity., • Familiarity with OpenStack services (Nova, Neutron, Keystone, Cinder) and/or Ceph., • Experience with Kubernetes security and hardening, including CIS Kubernetes Benchmarks and Pod Security Standards., • Background with SIEM, EDR, or log aggregation tools (Elastic, Splunk, Wazuh, Falco), secrets management (Vault), and disk encryption (LUKS/dm-crypt). Annual Compensation Range: $165,000 - $205,000 USD base + benefits + equity (If based in the United States) $122,000 - $158,000 CAD base + benefits + equity (If based in Canada) Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization. Why Our Team Loves Working Here: • We are making a significant financial impact for our video creator community; we're proud of their success stories, • We enjoy challenging the status quo and going head-to-head against Big Tech, • We aren't afraid to try new things; we act fast and want to win, • We pay competitive salaries and provide great benefits EEO Statement: Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program. Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We are looking for a Senior Software Engineer to join the Patient Experience team at Ro. This is a backend, product-focused role. You will partner closely with Product, Design, Data, and other teams to define, build, and iterate on features that directly impact patient onboarding, care delivery, and insurance workflows. You’ll own backend systems that power critical patient and provider experiences — not just from a technical perspective, but from a product and business outcomes lens. You’ll refine ambiguous problems through solution design, implementation, experimentation, and iteration while ensuring the backend is performant and monitoring for real-world feature engagement and adoption. While this role is highly focused on backend engineering, we value engineers who understand how their systems drive user-facing experiences and who enjoy collaborating cross-functionally to deliver meaningful product outcomes.What You’ll Do: • Design and build scalable, reliable, and resilient distributed services using Python with FastAPI or Django, supporting critical clinical and operational workflows, • Partner closely with product teams to shape feature requirements, define success metrics, and translate business goals into scalable backend solutions., • Operate as a domain owner — accountable not only for system reliability and performance, but for how your systems drive measurable product and operational outcomes, • Own features end-to-end from technical discovery through launch and iteration, using data and feedback to continuously improve outcomes, • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Actively contribute to building the team’s architectural vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure the consistent application of best practices across relevant domains, • Participate in on-call rotations to ensure reliability of production systemsWhat You’ll Bring to the Team:, • 5+ years of software engineering experience, • Experience architecting, designing and building scalable web applications and distributed systems, • Proficiency with Python, relational databases, and frameworks like FastAPI or Django, with hands-on experience in metrics instrumentation and data-driven performance tuning leveraging Ro’s load testing infrastructure and tools like Datadog, • Experience partnering closely with Product to scope and deliver user-facing features that drive measurable business impact, • Proven track record of scaling complex, data-intensive backend systems through rapid growth on a high-traffic engineering organization, ensuring high performance and availability, • Strong intuition for product tradeoffs — balancing speed, scalability, and long-term architecture, • Deep understanding of distributed systems-data consistency, communication patterns, and service boundaries, backed by hands-on experience building and maintaining data-intensive production systems, • Strong sense of ownership with the ability + desire to own technical roadmaps and refine ambiguous problems, • Demonstrated ability to collaborate with other engineers and cross-functional partners to create the best possible productsBonus Skills:, • Experience in telehealth or other highly regulated industries, • Experience with decoupling monolithic applications into distributed asynchronous servicesWe’ve Got You Covered:, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing, • Virtual resources for mindfulness, counseling, and fitness We welcome qualified candidates of all races, creeds, genders, and sexuality to apply.The target for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description Experience: 2+ Years Job Location: New York/New Jersey No. of Positions: Multiple Qualifications: Undergrad or Higher Work Timings: 8:00 AM EST to 5:00 PM EST Functional Area: Data Engineering We are looking for a highly motivated Forward Deployed Engineer (FDE) with hands-on experience in Palantir Foundry and Artificial Intelligence Platform (AIP) to work directly with clients and solve complex business challenges through data-driven solutions. This role sits at the intersection of software engineering, data engineering, and client consulting, requiring both strong technical expertise and excellent stakeholder management skills. The ideal candidate will partner with customers to understand their business objectives, design scalable data architectures, and deliver impactful enterprise solutions leveraging Foundry and AIP capabilities. Job Responsibilities • Partner with client stakeholders to understand business requirements and translate them into scalable technical solutions., • Design, develop, and maintain robust data pipelines using Palantir Foundry., • Build and manage Ontology Models and business objects to support enterprise-wide use cases., • Integrate data from multiple enterprise systems (5+ source systems) into the Foundry ecosystem., • Develop complex data transformation workflows and optimize pipeline performance for scalability and reliability., • Configure, implement, and enhance Foundry Applications and AIP workflows to address business challenges., • Collaborate closely with cross-functional teams including data engineers, software engineers, product managers, and client stakeholders., • Deliver end-to-end solutions from requirements gathering through deployment and support., • Prepare technical documentation, architecture designs, and client-facing presentations., • Conduct solution walkthroughs and demonstrations for business and technical audiences., • Troubleshoot production issues, perform root-cause analysis, and implement performance improvements., • Support testing, deployment, and continuous improvement initiatives across projects., • Contribute to best practices, reusable frameworks, and solution accelerators within the organization. Skills, Knowledge & Experience • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field., • 2–4 years of experience in software engineering, data engineering, or related technical roles., • Minimum 2 years of hands-on experience working with Palantir Foundry and AIP in production environments., • Strong expertise in:, • Foundry Pipelines, • Ontology Modeling, • Data Integration, • Pipeline Development, • Complex Data Transformations, • Experience integrating data from multiple enterprise applications and source systems., • Strong proficiency in SQL for data manipulation, transformation, and analysis., • Hands-on programming experience in Python or Java., • Solid understanding of APIs, ETL processes, data modeling, and modern data engineering principles., • Experience working with version control systems such as Git., • Familiarity with Agile/Scrum development methodologies., • Ability to design scalable and maintainable data solutions for enterprise environments., • Strong analytical and problem-solving skills with attention to detail., • Excellent verbal and written communication skills., • Proven ability to interact directly with clients and manage stakeholder expectations., • Ability to thrive in fast-paced, dynamic project environments., • Collaborative mindset with the ability to work effectively across multiple teams and functions.

Job Description Databricks Data Engineer Location: New York, NY 1166 Duration: 6 months Rate: $70–75/hr Work Model: Onsite 4 days/week, anchor days Wednesday and Thursday Overview We are seeking an experienced Databricks Data Engineer to join a team building a homegrown sales incentive compensation and data platform. In this role, you will design, develop, and support scalable data engineering solutions using Databricks to enable data ingestion, transformation, analytics, reporting, and incentive compensation processing. This role is ideal for a hands-on engineer who can translate complex business requirements into reliable data pipelines and integrated technical solutions. Responsibilities • Design and build Databricks-based data pipelines, data models, Delta Lake tables, notebooks, and workflows, • Own and support the overall Databricks architecture, • Maintain and optimize existing Databricks workspaces, pipelines, and automation, • Translate business and functional requirements into scalable technical solutions, • Build pipelines supporting Sales Incentive Compensation processes, including quota management, attainment calculations, commission processing, and payout reporting, • Partner with Sales Operations and Finance to model incentive plan rules accurately, • Test, debug, and troubleshoot data pipelines and notebooks, • Support end users and analysts with Databricks-based solutions, • Document data models, pipeline configurations, and technical processes, • Collaborate with finance, IT, BI, and other cross-functional teams Requirements • 7+ years of data engineering experience, • 3+ years of hands-on Databricks experience, • Strong experience with Databricks components such as Delta Lake, Delta Live Tables, Unity Catalog, and Workflows, • Strong proficiency in Python and/or Scala, • Advanced SQL skills, • Experience with ETL/ELT, data ingestion, transformation, data modeling, and orchestration, • Ability to solve complex data and business problems, • Excellent communication and stakeholder management skills, • Ability to work independently and as part of a team, • Comfortable working across global time zones Preferred • Experience with Sales Incentive Compensation processes, • Familiarity with SIC platforms such as Anaplan, Oracle ICM, or Varicent, • Experience integrating Databricks with Azure, AWS, or GCP, • Exposure to Azure Data Factory, Event Hubs, Kafka, or similar tools, • Databricks certification a plus Additional Details • Contract role only, • Initial duration is 6 months, with possible extension, • Interview process includes 2–3 rounds, starting with Zoom, • Strong preference for candidates who can work onsite in New York 4 days per week

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the role You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability. This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact. What you’ll do Design and implement our first scalable data warehouse/lakehouse to support KPIs. Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools. Work with leadership to translate business metrics into concrete data models and schemas. Define and own data modeling standards and best practices. Implement monitoring, data quality checks, and observability around pipelines and core tables. Enable BI and data analysts through well structured models and self-serve friendly datasets. Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics. Experience 5+ years of experience as a Data Engineer, ideally in a mid-stage startup. Solid programming skills in Python. Strong SQL skills and experience designing/data modeling for analytics Hands-on experience with a modern cloud data stack, such as: Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc. Orchestration/transformation: dbt, Airflow, Dagster, or similar. Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc. Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness). Strong understanding of data quality, testing, and monitoring practices. Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions. Nice to have Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers. Experience in B2B SaaS, especially around revenue, usage, and customer health metrics. Prior experience as an early data hire or working in a small or medium, fast-growing startup Perks and Benefits (Full-time Employees) Competitive compensation and equity Unlimited PTO Up to 100% employer covered monthly healthcare premium (medical, dental, vision) Lunch provided via Sharebite, plus dinner for any later in office days. Parental leave up to 12 weeks Tax free commuter and parking benefits Voluntary insurances (Life, Hospital, Critical Illness, Accident) Employee Assistance Program (Rightway) Free One Medical Membership 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $160K - $195K

Job Description Apply now: Data Engineer (AVP Level), location is Hybrid (3 days/week onsite in NYC). The start date is ASAP (targeting end of summer) for this long-term contract-to-hire position. Job Title: Data Engineer (AVP Level) Location-Type: Hybrid (3 days/week onsite in NYC) Start Date Is: ASAP (targeting end of summer) Duration: Long-Term Contract-to-Hire Compensation Range: $75-82/hr W2 Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship. Job Description: Seeking a highly technical Data Engineer with a software engineering foundation who can bridge business needs and analytics solutions, helping modernize data platforms, improve reporting capabilities, and deliver scalable data products. Day-to-Day Responsibilities: • Partner directly with business stakeholders to gather requirements and deliver data solutions, • Build and maintain analytics, reporting, and visualization capabilities, • Develop data transformation and modeling solutions using SQL and Python, • Modernize analytics infrastructure and data tooling, • Create scalable, repeatable analytical products and processes, • Troubleshoot data issues and improve data quality, • Collaborate closely with engineering, product, and business teams, • Support new initiatives, business launches, and evolving reporting requirements, • Contribute to data architecture enhancements and integration efforts, • Build APIs and support integration patterns where needed Minimum Requirements: • 3–7 years of experience in data analytics, data engineering, or related technical roles, • Background in software engineering with progression into analytics and data-focused work, • Advanced SQL skills, • Strong Python development experience, • Hands-on experience with Snowflake, • Experience with data visualization and BI tools, • Ability to translate business requirements into scalable technical solutions, • Understanding of modern data architecture concepts, • Experience modernizing analytics environments and tooling, • Ability to build API endpoints and understand integration patterns, • Strong communication and stakeholder management skills, • Comfortable working independently in an end-to-end delivery environmentPreferred Qualifications:, • Experience within hedge funds, asset management, or financial services, • Multi-asset investing domain knowledge, • Experience with Tableau or similar BI platforms, • Exposure to CI/CD practices and modern software development workflows, • Experience mentoring junior team members

Job Description About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: DV Trading is building a centralized AI function to govern, standardize, and accelerate firm-wide AI adoption. The Senior AI Engineer defines how the firm builds production agent systems and ships reference implementations that demonstrate the patterns in production. Job Responsibilities: • Define firm-wide standards for agent and MCP development, • Build reference agent applications for business teams, • Design patterns for connecting agents to internal databases, APIs, and knowledge sources, • Establish security and governance requirements for AI in a regulated trading environment, • Partner with Security on AI-specific controls (data access, audit, threat detection), • Evaluate and adopt infrastructure for agent deployment and observability, • Partner with stakeholders to identify and deliver high-value use cases Requirements: • 5+ years software engineering; strong Python, • Production LLM-powered agent systems shipped (not demos), • Experience integrating agents with databases, APIs, and internal data sources, • MCP and/or tool-calling experience in production, • Security experience in regulated or sensitive-data environments, • Kubernetes, CI/CD, observability, • Autonomous; strong communication with technical and non-technical stakeholders Preferred: • Prop trading, hedge fund, or financial services, • Firm-wide platform or standards work, • Multi-model environments (Claude, GPT, etc.), • Agent evaluation and testing in production Benefits: • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care Options, • Employer Paid Group Term Life and AD&D insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible Vacation policy, • Retirement plan with employer match DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above. Base Salary Range$200,000—$300,000 USD

Job DescriptionCompany Description Every query matters. Every millisecond counts. Every system you build shapes the future of data-driven finance. At Data Intellect, we thrive on solving complex data challenges in high-stakes environments. We’re a team of engineers, problem-solvers, and collaborators who believe in pushing boundaries, not egos. If you're a seasoned kdb+ engineer ready to lead, innovate and make an impact - we want to hear from you. Job Description We have a rare opportunity for a Senior kdb+ Architect based in New York to lead a greenfield kdb+ platform build for a top‑tier Investment Banking client. This role offers true end‑to‑end ownership, spanning real‑time and historical market data ingestion through to high‑performance analytics and downstream visualisation. You’ll play a pivotal role in defining and shaping the overall system architecture, making critical design decisions around data models, scalability, performance and resiliency. The work sits at the heart of the market data stack and demands deep expertise in kdb+/q, low‑latency systems, market data feeds and analytic frameworks. This is an excellent opportunity for a senior engineer who wants to influence technical direction, work closely with front‑office-aligned systems and build a strategic platform from the ground up while showcasing their architectural and performance optimisation expertise. As a Senior kdb+ Engineer at [DI] you’ll be at the forefront of delivering high-performance, scalable solutions for some of the world’s most data-intensive financial institutions. You’ll: • Lead technical delivery on client projects, setting the standard for quality and performance., • Design and implement robust kdb+ architectures that handle billions of rows of time-series data., • Collaborate with quants, traders, and analysts to translate business needs into performant, efficient code., • Mentor and guide junior and mid-level developers, fostering a culture of technical excellence., • Own the full development lifecycle by developing, testing, supporting and maintaining all code for client applications, • Drive innovation by staying ahead of the curve in kdb+, q, and adjacent technologies.Qualifications What You Bring • 5+ years of hands-on kdb+ development, with deep expertise in q and time-series data., • Proven experience designing and implementing kdb+ architectures and scaling kdb+ systems in production., • Experience working with and architecting both real-time and historical systems., • Strong background in Unix/Linux environments and scripting., • Demonstrated technical leadership and decision-making in fast-paced projects., • Excellent communication skills to explain complex systems to both technical and non-technical stakeholders., • Experience in capital markets or investment banking, understanding the domain and its demands., • A passion for clean, performant code and continuous improvement. Bonus Points For: • Experience with Python, cloud platforms (AWS, GCP, Azure), or other time-series databases., • Exposure to tick data, real-time analytics, or electronic trading systems., • People management or team leadership experience. Additional Information Why Join Data Intellect? • Global opportunities – work with clients in London, New York, Hong Kong, Singapore, and beyond., • Continuous learning – access to paid training, certifications, and leadership development., • Clear progression paths – biannual promotion cycles and regular 1:1s to support your growth., • Healthcare & wellbeing – provider dependent on region., • Referral bonuses, social events, and more – we work hard and celebrate harder. About Us Data Intellect is a specialist data and technology consultancy with deep roots in capital markets. We build high-performance systems that power trading, risk, and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, data engineering, regulatory tech, and enterprise platforms and we’re growing fast. Fair Employment & Equal Opportunities We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Ready to lead the next generation of kdb+ solutions? Challenge Accepted. Apply now.

Job Description Company: Incedo Position: Senior SDET Locations: Fort Mill, SC | Austin, TX | New York, NY (Hybrid) Type: Full-Time Company Overview Incedo is a US-based consulting, data science, and technology services firm with 4,000+ professionals across the US, Mexico, and India. We help clients achieve competitive advantage through end-to-end digital transformation, combining engineering excellence, data science, and design with deep domain expertise across Telecom, Banking, Wealth Management, Product Engineering, and Life Sciences & Healthcare. Role Description As part of our growing Quality Engineering practice, we are seeking a passionate and experienced Senior Software Development Engineer in Test (SDET) to support a strategic engagement within the Wealth Management domain. You will contribute to next-generation digital platforms that empower financial advisors and investors with smarter decision-making tools and exceptional client experiences. This role is ideal for engineers who enjoy building robust automation frameworks, solving complex quality challenges, and driving engineering excellence. You will design and implement automation frameworks end-to-end, collaborate closely with engineering and product teams, and embed quality practices throughout the development lifecycle. Roles & Responsibilities • Design and implement automation frameworks end-to-end using Java and Python., • Build scalable UI, API, and end-to-end automation solutions using Playwright and Selenium., • Develop reusable libraries, utilities, and modular components to support automation at scale., • Collaborate with engineering, product, and DevOps teams to translate requirements into robust test solutions., • Integrate automated tests into CI/CD pipelines using Git-based workflows and tools such as Jenkins, GitHub Actions, or Azure DevOps., • Execute, maintain, and optimize automated test suites for reliability and performance., • Perform code reviews and ensure adherence to automation best practices and clean coding standards., • Debug complex issues across distributed systems and microservices., • Create and maintain documentation for frameworks, test strategies, and engineering standards., • Support shift-left testing practices and early defect detection., • Contribute to continuous improvement of quality engineering processes and tooling. Qualifications • 8–12+ years of experience in software testing, automation, and quality engineering, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (preferred) Technical Skills (Required) • Java & Python programming expertise, • End-to-end automation framework development (architecture, abstraction, interfaces, dependency injection, configuration management), • Playwright & Selenium for UI automation, • API automation (REST, JSON, schema validation, integration flows), • Experience with parallel execution concepts (TestNG or equivalent patterns), • Solid understanding of Agile/Scrum and shift-left testing practices, • CI/CD integration with Git-based workflows, • Git for version control and branching strategies, • Debugging & problem solving across distributed systems, • Experience designing automation frameworks from scratch and owning them end-to-end Technical Skills (Preferred) • AWS (Lambda, S3, EC2, CloudWatch, IAM, etc.), • Docker & Kubernetes for containerized test execution and microservice environments, • Microservices testing (service isolation, contract testing, distributed debugging) Nice to have: • Financial Services / Wealth Management / Banking domain experience, • Flask, FastAPI, React, SQLAlchemy, PostgreSQL, Redis, • Splunk, • XCUITest, Appium, TestNG-specific expertise (beyond general concepts), • OpenCAFE, • AI tooling

Job DescriptionThe opportunity Join Kubrick as Senior Manager Databricks Engineer: lead end-to-end data/ML platforms, mentor teams, and partner with clients to deliver real impact in an inclusive, collaborative setting. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. Our clients span a wide range of industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing In this role, you will: Lead the end-to-end delivery of Databricks-based data and ML platforms Work closely with clients, internal stakeholders and Databricks Professional Services teams Provide technical leadership across delivery squads, helping set the standard for engineering excellence Translate business challenges into robust, scalable technical solutions Mentor, line-manage and develop engineers across the wider capability Contribute to knowledge sharing, capability development and technical best practice within our Databricks Centre of Excellence Support the continued growth of Kubrick’s Databricks capability across clients and industries What we’re looking for We’re looking for curious, collaborative people who enjoy solving complex challenges, sharing knowledge and continuing to grow in a fast-evolving space. You’ll bring: Strong experience delivering solutions on Databricks Cloud experience across AWS, Azure or GCP Advanced Python and SQL skills Experience leading technical delivery teams within enterprise environments The ability to influence both technical and business stakeholders Experience mentoring engineers and driving engineering best practice A mindset focused on quality, impact and continuous improvement Benefits 15 PTO days plus 11 public holidays (26 days total) 401(k) retirement program with company match up to 3% Healthcare insurance (80% premium employer paid) Dental insurance Vision insurance Long-term disability insurance (100% employer paid) Additional caregiver leave Enhanced maternity, adoption and paternity leave Financial wellbeing support Flexible working options Learning and development opportunities, including professional certifications Internal mobility and career development opportunities Mental health, diversity and inclusion support Additional voluntary benefits Additional benefits Leadership opportunities on high-impact data projects Continuous learning and Kubrick-funded certifications Collaboration with a top-tier Databricks developer community You’ll take ownership of meaningful work from early on, contributing to projects that deliver real impact for clients. You’ll be part of a collaborative, high-performing environment where you’re encouraged to think differently, influence outcomes, and continue developing your expertise. Diversity & inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.

Job DescriptionFSR Engineer Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support As a Field Service Representative (FSR) Engineer, you will be embedded with customers to deploy and operate a production-grade data and application platform used in mission-critical environments. You’ll work at the intersection of software engineering, data integration, and real-world operations—turning complex, fragmented data into reliable, live systems that support critical decision-making. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Deploy, configure, and maintain a distributed data and application platform in production. - Integrate data from disparate source systems while preserving lineage and governance. - Build and customize operational applications, workflows, and analytics. - Design and maintain data pipelines supporting real-time and batch use cases. - Troubleshoot high-impact issues in live operational environments. - Work directly with users to understand workflows and translate needs into technical solutions. - Partner with internal product and engineering teams to improve platform capabilities. Qualifications:- Strong software engineering fundamentals. - Experience with Python, Pyspark, Java, JavaScript, SQL, or similar languages. - Familiarity with data systems, APIs, and distributed architectures. - Ability to operate independently in customer-facing, on-site environments. - Strong problem-solving skills in ambiguous, real-world settings. - Clear communication with both technical and non-technical stakeholders. - Active TS/SCI Clearance or eligibility- Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past nine years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board:https://cgsfederal.com/join-our-team/For more information about CGS please visit: https://www.cgsfederal.com or contact:Email: info@cgsfederal.com We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Rumble is the Freedom-First technology platform. We proudly offer a video platform, cloud services, advertising solutions, and a non-custodial cryptocurrency wallet. Rumble Cloud is building a DBaaS platform that makes reliable, high-performance databases available to our internal teams and customers without the usual operational friction. As a Senior Platform Engineer (DBaaS), you'll own the Kubernetes-based platform that runs our managed database workloads on OpenStack, focusing on orchestration, reliability, automation, and security rather than deep engine-specific tuning. This is first and foremost a Kubernetes and cloud platform role. You'll design and operate DBaaS as a multi-tenant, stateful service: making sure clusters are healthy, databases are highly available, storage and networking are robust, and the platform can scale quickly as adoption grows. You'll partner closely with database specialists for engine-level decisions, but your core impact is in how you provision, harden, monitor, and evolve the infrastructure that powers the service. You'll collaborate with Rumble Cloud engineering, SRE, and database architecture teams to take DBaaS from initial hardening through launch and into scale-out: defining SLIs/SLOs, building automation and runbooks, integrating with OpenStack services, and serving as a senior escalation point when platform issues impact customers. If you enjoy running Kubernetes in production, working on mission-critical infrastructure, and building platforms that other teams depend on every day, this role is for you. Responsibilities • Own and operate the Kubernetes platform that powers DBaaS, including cluster provisioning, upgrades, capacity planning, and day-to-day reliability., • Run relational databases (e.g., PostgreSQL, MySQL, MariaDB) as managed stateful workloads on Kubernetes using operators, StatefulSets, and persistent storage, with a focus on HA, backup/restore, and security., • Integrate DBaaS with the underlying OpenStack infrastructure (Nova, Cinder, Neutron), ensuring networking, storage, and compute resources are configured correctly for multi-tenant database workloads., • Design and implement automation and infrastructure-as-code for the platform using tools such as Terraform, Ansible, and Python/Bash, covering provisioning, configuration, upgrades, and lifecycle management., • Build and maintain observability for DBaaS using Prometheus, Grafana, and related tools, including metrics, logs, alerts, and dashboards that surface health and performance of both Kubernetes and database workloads., • Develop and document runbooks, SRE practices, and incident response procedures for DBaaS, and participate in on-call rotations as a senior escalation point., • Work with database architects and application teams to define SLIs/SLOs, capacity and performance expectations, and safe change-management processes for database schemas and platform upgrades., • Implement and enforce security best practices across the platform, including RBAC, network policies, encryption at rest and in transit, secrets management, and access controls for multi-tenant environments., • Collaborate with early customers and internal stakeholders to understand their requirements, support onboarding to DBaaS, and guide them in using the platform effectively., • Continuously improve the platform by identifying reliability, performance, and usability bottlenecks and delivering iterative enhancements that make DBaaS more robust and easier to operate.Qualifications, • Hands-on experience running production Kubernetes clusters at scale, including cluster operations, upgrades, and troubleshooting., • Experience operating stateful workloads on Kubernetes (operators, StatefulSets, storage classes, persistent volumes, backup and restore workflows)., • Working experience with at least one relational database engine such as PostgreSQL, MySQL, or MariaDB in a production environment., • Strong skills in automation and infrastructure-as-code, using tools such as Terraform, Ansible, and scripting languages (Python and/or Bash)., • Solid understanding of Linux systems, networking fundamentals, and security concepts in cloud-native environments., • Ability to debug complex issues that span Kubernetes, storage, networking, and database workloads, and to communicate findings clearly to both technical and non-technical stakeholders.Preferred Qualifications, • Experience running Kubernetes on OpenStack, including Nova, Cinder, and Neutron, or similar private cloud platforms., • Background operating a DBaaS or large-scale, multi-tenant database platform where reliability and isolation are critical., • Familiarity with Ceph storage, OVN/OVS networking, and observability tools such as Prometheus, Grafana, or Zabbix., • Experience building SRE practices for platform services, including SLIs/SLOs, error budgets, and incident postmortems., • Comfort working in high-growth, mission-critical infrastructure environments where priorities can evolve quickly. Annual Compensation Range: $160,000 - $185,000 USD base + benefits + equity (If in the United States) $134,000 - $165,000 CAD base + benefits + equity (If in Canada) Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization. Why Our Team Loves Working Here: • We are making a significant financial impact for our video creator community; we're proud of their success stories, • We enjoy challenging the status quo and going head-to-head against Big Tech, • We aren't afraid to try new things; we act fast and want to win, • We pay competitive salaries and provide great benefits EEO Statement: Rumble is an equal opportunity employer. We promote an equal playing field where everyone has the same opportunities regardless of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Rumble is an active participant in the e-verify program. Physical demands of the position: While performing the duties of this job, the employee is regularly required to sit for prolonged periods of time while using a computer and/or keyboard. The employee is required to communicate verbally and hear. The employee may be required to walk, reach with hands and arms, balance, and stoop or kneel. The employee may occasionally be required to lift and/or move up to 15 pounds. Specific vision abilities required by this job include clarity of vision at approximately 20 inches or less (i.e., working with small objects or reading small print), including the use of computers.

Job DescriptionTitle: Linux Engineer / SRE Location: New York City OTC Markets Group is an established financial technology company redefining the future of public markets. We operate trading platforms for the industry’s top broker-dealers to trade over 12,000 securities, from startups to global Fortune 500 companies. We’re looking for an entry level Linux Engineer / SRE to join our IT Infrastructure team. This is a hands-on role ideal for someone with a strong Linux foundation, solid scripting aptitude, and an interest in growing into automation, reliability engineering, and infrastructure-as-code. You’ll work with experienced engineers to support the systems that keep our production environment running, while gaining room to learn, grow, and take on more responsibility over time. OTC Markets is currently operating in a hybrid work environment (three days in office, two days remotely). Required qualifications: The successful candidate will have: • 2+ years of experience working with Linux operating systems, ideally Red Hat 8+, including a conceptual understanding of core infrastructure components such as storage, backup, and monitoring (deep expertise not required — solid fundamentals are)., • Understanding of virtualization concepts, such as VMware or similar platforms., • Strong Python programming skills, with the ability to develop scripts and infrastructure-as-code., • Familiarity with web UI concepts and making/consuming API calls., • Ability to write Ansible playbooks for configuration management., • Understanding of GitHub and its automation capabilities., • Strong written and verbal communication skills., • A collaborative, team-first mindset and the interpersonal skills to work effectively across a group.Preferred (but not required) qualifications:, • Exposure to CI/CD pipelines or GitHub Actions., • Familiarity with REST APIs in a systems or automation context., • Coursework, certifications, or personal projects involving Linux or automation.What you will do:, • Help maintain and support Linux-based production infrastructure., • Write and maintain Ansible playbooks to automate configuration and routine operational tasks., • Develop Python tooling and infrastructure-as-code to reduce manual work and improve reliability., • Support monitoring, backup, and storage systems, and help respond to issues as they arise., • Use Git/GitHub for version control and contribute to automated workflows (CI/CD)., • Collaborate with the team on improvements to system stability, performance, and process.Salary: The target base salary for this role is between $85,000-88,000 with additional compensation composed of stock options, competitive discretionary annual cash bonus, and discretionary equity awards. Actual salary within that range is dependent upon the individual’s skills, experience and qualifications. What we offer: • Generous Paid Time Off (PTO), • Health, Dental, and Vision Coverage, • Health Savings Account (HSA), • Flexible Spending Accounts (FSA) Dependent & Healthcare, • Limited Purpose Flexible Spending Account (LPFSA), • Generous Paid Parental Leave Program, • Annual bonus and Stock Incentive Program, • 401(K) Plan - Retirement, • Commuter Transit & Parking Program, • Income Protection (Life Insurance, Short- & Long-Term Disability), • Voluntary Benefits (Accident, Critical Illness, & Hospital Indemnity), • NYC Monday Bagels, • NYC Wednesday Pizzas We are an equal opportunity and E-Verify employer and prohibit discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, creed, color, religion, gender, national origin, age, marital status, political belief, physical or mental disability, sexual orientation, military or veteran status, genetic information, family or parental status, gender identity, pregnancy, including childbirth or related medical condition, or any other characteristic protected by federal, state, or local law. We encourage applicants of all ages and backgrounds. Applicants have rights under Federal Law: Equal Employment Opportunity is the Law Polygraph Protection Act FMLA Pay Transparency Law for Employees/Applicants (P688) Powered by JazzHR YNE50BGgt8

Job DescriptionCompany Description At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO Job Description What you’ll be doing: • Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to long‑term adoption and optimisation, • Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models, • Work on long‑running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time, • Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client, • Deliver high‑quality, production‑ready solutions, balancing product constraints with client‑specific requirements and best practice engineering standards, • Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches, • Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices, • Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams, • Identify and recommend improvements to product usage, configuration or architecture based on real‑world client exposure, • Produce clean, maintainable and well‑documented solutions aligned to product standards and client specifications, • Continue to build your own capability through hands‑on delivery, certification and exposure to multiple clients and industriesQualifications Experience and skills required: MUST BE CURRENTLY BASED IN NEW YORK MUST HAVE THE RIGHT TO WORK IN THE USA MUST HAVE EXPERIENCE IN THE INVESTMENT BANKING DOMAIN MUST HAVE MINIMUM 3 YEARS' COMMERCIAL EXPERIENCE IN PYTHON ENGINEERING MUST HAVE LINUX EXPERIENCE MUST HAVE EXPERIENCE WITH KUBERNETES, APACHE AIRFLOW, PANDAS AND POLARS • Minimum 3+ years Python experience in Data Science and Engineering, • Experience with Kubernetes, Apache Airflow, Pandas, Polars, • In-depth of knowledge across data science and engineering and software delivery, • Development and delivery experience of data-driven applications and solutions, • Capable of task estimation, proactive and autonomous, • Solid knowledge of SDLC, agile and appropriate tooling, • Breadth of L3 support experience, • Excellent communication skills across peers, leadership and clients; both business and technical Additional Information A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

Job Description hatch I.T. is partnering with Kinstead to find a Senior Product Engineer. See details below: About the Role Kinstead is hiring a Senior Product Engineer to own the user-facing experience of their platform. This role focuses on turning complex clinical workflows into interfaces that feel simple, reliable, and delightful. You’ll build multi-step forms, workflow-driven user interfaces, and product features that clinicians depend on every day. You’ll also be building new product surfaces that do not exist yet. Today the system has a small set of core workflows, and over the next year that number will grow significantly. This role is about creating those new capabilities from scratch, not maintaining an existing UI. You’ll work closely with the CTO to integrate those interfaces with backend systems and maintain clear API contracts. This role is frontend-heavy but requires comfort reasoning about backend behavior when debugging integration issues. About the Company Kinstead is building the AI-native operating system for independent healthcare, enabling nurse practitioners to launch and run their own clinics. They replace the fragmented, manual infrastructure behind healthcare with a single, intelligent system so clinicians can spend their time on care, not paperwork.This creates a new model of care, one where clinicians practice on their terms and patients get consistent, community-rooted care. They’re backed by Wisdom Ventures and founders and executives from Pomelo Care, Flatiron Health, Roivant, and PathAI on their mission to deliver better care. Responsibilities: • Own the user interface and experience across core clinical and operational workflows, • Build production features using Next.js, React, and TypeScript, • Implement complex multi-step forms and workflow-driven interfaces, • Build AI-powered tools that help clinicians with documentation, clinical decision support, and voice-driven workflows, • Work with generated API clients and maintain frontend/backend contract alignment, • Translate real-world workflow requirements into usable software, • Build new product capabilities from scratch as the platform expands, • Collaborate closely with product, design, and clinical stakeholders, • Use AI development tools to accelerate implementation while maintaining code quality, • Participate in code reviews and technical planningRequirements:, • 5+ years building production web applications, • Strong TypeScript experience and proficiency with React and Next.js, • Experience building complex multi-step forms or workflow-driven interfaces, • Familiarity with API contracts and backend integrations, • Comfortable tracing application behavior across frontend and backend systems, including reading and debugging Python/Django code when needed, • Comfort working in a fast-moving startup environment, • Experience working in an AI-assisted development workflowNice to Have:, • Experience with healthcare or regulated software, • Familiarity with FHIR or clinical data systems (helpful but not required), • Strong product intuition and pragmatic engineering judgmentaTech Stack:, • Next.js, TypeScript, Tailwind, Turborepo, Python (Django, async-first), PostgreSQL, workflow state machines, and clinical integrations using Medplum and FHIR., • Our services run on AWS and Kubernetes, and we rely on Terraform for IaC and Datadog for APM and infrastructure monitoring., • We maintain automated testing and deployment pipelines using Github Actions and integrate with AI providers including Google, Anthropic, and OpenAI.What It's Like to Work with Kinstead: We’re building something ambitious, and we care deeply about how we show up while we do it. \uD83E\uDD1D We stay close to clinicians We spend time with the people we serve, in their practices and in their communities. The best ideas come from understanding their reality and building alongside them. ⚡ We take responsibility and move things forward If something matters, we don’t wait for perfect clarity. We step in, make progress, and figure it out together. \uD83E\uDDE9 We turn what works into something that lasts We solve problems in real time, then step back and build the systems that make it easier for the next clinician. \uD83E\uDD16 We use AI thoughtfully We look for ways to reduce manual work so clinicians can focus on care. If something feels repetitive, we treat it as an opportunity to improve how we operate. \uD83C\uDF31 We care about building something meaningful We’re here to help clinicians create independent, community-rooted practices. That responsibility shapes how we make decisions and how we grow. \uD83D\uDC9B We are kind, direct, and low ego We support each other, give honest feedback, and focus on getting to the right answer. We take the work seriously, but not ourselves. Benefits: • Competitive salary and generous, early-stage equity (4-year grant), • Health, vision, and dental benefits, • 401(k), • Unlimited PTO, • Prime office in Columbus Circle with weekly team lunches, • Fun team events and offsites We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description hatch I.T. is partnering with Kinstead to find a Senior Backend Engineer. See details below: About the Role Kinstead is hiring a Senior Backend Engineer to build and own core backend systems and application logic. You’ll design and build the services that power reliable clinical and operational workflows, including APIs, background processing, and system behavior under real-world conditions. This role focuses on reliability, correctness, and predictable execution as the product grows. You do not need prior healthcare or FHIR experience. They care more about strong backend fundamentals, sound engineering judgment, and the ability to ramp quickly on a complex domain. You’ll work closely with the CTO on system design while maintaining ownership of implementation and operational correctness. About the Company Kinstead is building the AI-native operating system for independent healthcare, enabling nurse practitioners to launch and run their own clinics. They replace the fragmented, manual infrastructure behind healthcare with a single, intelligent system so clinicians can spend their time on care, not paperwork. This creates a new model of care, one where clinicians practice on their terms and patients get consistent, community-rooted care. They’re backed by Wisdom Ventures and founders and executives from Pomelo Care, Flatiron Health, Roivant, and PathAI on their mission to deliver better care. Responsibilities: • Design and implement backend workflows and application logic, • Build and maintain APIs that power product functionality, • Implement scheduling, encounter, and operational workflows, • Build AI-powered tools that help clinicians with documentation, clinical decision support, and voice-driven workflows, • Integrate with clinical systems using FHIR, • Debug and resolve production issues across the stack, • Ensure system behavior remains predictable under failure conditions, • Collaborate with frontend engineers to maintain clear API contracts, • Use AI development tools to accelerate implementation while maintaining reliability, • Participate in system design and technical planningRequirements:, • 5+ years building production software systems, • Strong Python experience., • Familiarity with asynchronous programming in any language., • Experience designing and maintaining APIs for production applications, • Experience building backend systems beyond request/response — background jobs, event-driven patterns, or async processing, • Strong debugging and problem-solving skills, • Ability to design systems that behave predictably when things go wrong, • Comfort working in an AI-assisted development workflowNice to Have:, • Experience with React or NextJS, • Experience building workflow or state-machine-driven systems, • Experience reasoning about stateful systems, • Experience with FHIR or healthcare data systems (helpful but not required), • Experience with Kubernetes or distributed systems, • Experience working in early-stage startupsTech Stack:, • Python (Django, async-first with django-ninja and Channels), Next.js, PostgreSQL (with pgvector), Redis, WebSockets, asynchronous background jobs, workflow state machines, and clinical integrations using Medplum and FHIR., • Kinstead services run on AWS and Kubernetes, and we rely on Terraform for IaC and Datadog for APM and infrastructure monitoring., • They maintain automated testing and deployment pipelines using Github Actions and integrate with AI providers including Google (Vertex AI), Anthropic (AWS Bedrock), and OpenAI.What It's Like to Work with Kinstead: We’re building something ambitious, and we care deeply about how we show up while we do it. \uD83E\uDD1D We stay close to clinicians We spend time with the people we serve, in their practices and in their communities. The best ideas come from understanding their reality and building alongside them. ⚡ We take responsibility and move things forward If something matters, we don’t wait for perfect clarity. We step in, make progress, and figure it out together. \uD83E\uDDE9 We turn what works into something that lasts We solve problems in real time, then step back and build the systems that make it easier for the next clinician. \uD83E\uDD16 We use AI thoughtfully We look for ways to reduce manual work so clinicians can focus on care. If something feels repetitive, we treat it as an opportunity to improve how we operate. \uD83C\uDF31 We care about building something meaningful We’re here to help clinicians create independent, community-rooted practices. That responsibility shapes how we make decisions and how we grow. \uD83D\uDC9B We are kind, direct, and low ego We support each other, give honest feedback, and focus on getting to the right answer. We take the work seriously, but not ourselves. Benefits: • Competitive salary and generous, early-stage equity (4-year grant), • Health, vision, and dental benefits, • 401(k), • Unlimited PTO, • Prime office in Columbus Circle with weekly team lunches, • Fun team events and offsites We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 380+ 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 seeking a Senior Data Platform Engineer to design and develop the data management layer for our platform to ensure its scalability as we expand to larger customers and new jurisdictions. At Alpaca, data engineering encompasses financial transactions, customer data, API logs, system metrics, augmented data, and third-party systems that impact decision-making for both internal and external users. We process hundreds of millions of events daily, with this number growing as we onboard new customers. We prioritize open-source solutions in our data management approach, leveraging a Google Cloud Platform (GCP) foundation for our data infrastructure. This includes batch/stream ingestion, transformation, and consumption layers for BI, internal use, and external third-party sinks. Additionally, we oversee data experimentation, cataloging, and monitoring and alerting systems. Our team is 100% distributed and remote. Responsibilities: • Design and oversee key forward- and reverse-ETL patterns to deliver data to relevant stakeholders., • Develop scalable patterns in the transformation layer to ensure repeatable integrations with BI tools across various business verticals., • Expand and maintain the Alpaca Data Lakehouse architecture's constantly evolving elements., • Collaborate closely with sales, marketing, product, and operations teams to address key data flow needs., • Operate the system and manage production issues in a timely manner. Must-Haves: • 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day., • Proficiency in at least one programming language, with strong working knowledge of Python and SQL., • Experience with cloud-native technologies like Docker, Kubernetes, and Helm., • Strong hands-on experience with relational database systems and object storage implementations like Apache Iceberg., • Strong hands-on experience with Google Cloud Platform and its various data-related services (Composer, Dataproc, Datastream, etc.), • Experience in building scalable transformation layers, preferably through formalized SQL models (e.g., dbt)., • Ability to work in a fast-paced environment and adapt solutions to changing business needs., • Experience with ETL orchestrators / frameworks like Apache Airflow and Airbyte., • Production experience with streaming systems like Kafka., • Exposure to infrastructure, DevOps, and Infrastructure as Code (IaaC), like Terraform., • Deep knowledge of distributed systems, storage, transactions, and query processing utilizing open-source distributed query engines like Trino (formerly PrestoSQL)., • If you're passionate about data engineering and thrive in a dynamic startup environment, we'd love to hear from you! How We Take Care of You:, • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500, • Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Join Tech @ Ro to build the future of healthcare, from the ground up! At Ro, we believe that when people achieve their health goals, they can achieve their life goals. The highest-leverage way to move society forward is to give people their health, and the current healthcare system isn’t built to do that. It was built to bill, not to serve patients. We’re building a new system. One where the patient is in control. One designed from scratch for the digital age. At Ro, technology isn’t just a function… It's core to how we deliver care. We’ve built a vertically integrated healthcare platform that connects telehealth, diagnostics, pharmacy, and logistics into a seamless, end-to-end experience for millions of patients. …and we’re just getting started. As part of Tech @ Ro, you’ll work on systems that operate at scale, with an opportunity to: • Solve complex, high-concurrency problems across a full-stack platform, • Build and ship quickly with tight feedback loops and real-world impact, • Own systems end-to-end, from architecture to production performance, • Work alongside experienced operators, technical leaders, and clinicians, • Help define how modern healthcare should be delivered We’re a performance-driven team with a strong sense of ownership and urgency. We move fast, learn quickly, and hold a high bar for what we build, and do so with a big heart — because patients depend on it. If you’re motivated by impact, scale, and the chance to help lead the patient revolution, come build with us. The Role We’re looking for a Senior Software Engineer to join the Care Platform Operations team at Ro. In this role, you’ll design, build, and maintain scalable, reliable, and secure backend services that support how Ro delivers care, including systems for patient-provider communication, appointment scheduling, task routing, and care operations workflows increasingly powered by AI and intelligent automation. As a senior member of the team, you’ll help define the technical roadmap and own initiatives from ideation through design, implementation, and maintenance. You’ll partner closely with product, design, data, clinical, and care operations teams to build high-quality, compliant systems that reduce manual effort, improve accuracy, and help Ro scale care delivery for millions of patients. What You’ll Do: • Design and build scalable, reliable, and resilient distributed services using Python and FastAPI, supporting critical clinical and operational workflows, • Operate as an owner within the team's domain and proactively assess and improve system performance and reliability., • Drive engineering excellence through best practices in testing, monitoring, observability, and performance optimization, • Actively contribute to building the team’s architectural vision and technical roadmap, • Collaborate on code reviews and technical design documents to ensure the consistent application of best practices across relevant domains, • Work closely with product, design, data and other stakeholders to help us build the best possible experiences for our providers, pharmacists, and patients, • Participate in on-call rotations to ensure reliability of production systemsWhat You’ll Bring to the Team:, • 7+ years of software engineering experience, • Experience architecting, designing and building scalable web applications and distributed systems, • Proficiency with Python, relational databases, and frameworks like FastAPI or Django, with hands-on experience in metrics instrumentation and data-driven performance tuning leveraging Ro’s load testing infrastructure and tools like Datadog, • Proven track record of scaling complex, data-intensive backend systems through rapid 10x growth at a late-stage startup, ensuring high performance and availability, • Deep understanding of distributed systems-data consistency, communication patterns, and service boundaries-backed by hands-on experience building and maintaining data-intensive production systems, • Strong sense of ownership with the ability / desire to own technical roadmaps and refine ambiguous problems, • Demonstrated ability to collaborate with other engineers and cross-functional partners to create the best possible productsBonus Skills:, • Experience in telehealth or other highly regulated industries, • Experience with decoupling monolithic applications into distributed asynchronous servicesWe’ve Got You Covered:, • Full medical, dental, and vision insurance + OneMedical membership, • Healthcare and Dependent Care FSA, • 401(k) with company match, • Flexible PTO, • Wellbeing + Learning & Growth reimbursements, • Paid parental leave + Fertility benefits, • Pet insurance, • Student loan refinancing, • Virtual resources for mindfulness, counseling, and fitness We welcome qualified candidates of all races, creeds, genders, and sexuality to apply.The target for this position ranges from $182,300 to $220,000, in addition to a competitive equity and benefits package (as applicable). When determining compensation, we analyze and carefully consider several factors, including location, job-related knowledge, skills and experience. These considerations may cause your compensation to vary. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. At Ro, we believe that our diverse perspectives are our biggest strengths — and that embracing them will create real change in healthcare. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability and/or any other legally protected classification protected by federal, state, or local law. Ro is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and interview process. If you require a reasonable accommodation in the application or interview process, please contact us at talent@ro.co. See our California Privacy Policy here. We may use automated tools, including artificial intelligence (AI), to assist with parts of our recruiting and hiring process, such as reviewing applications, evaluating resumes, and assessing responses or job-related qualifications. These tools are used to support our recruitment team and do not replace human judgment. Final hiring decisions are made by humans.

Job Description Overview We are seeking a highly skilled Senior Power BI & Agentic AI Engineer to lead the design, development, and optimization of enterprise-grade analytics and intelligent automation solutions. This role blends advanced data visualization expertise with emerging capabilities in agentic AI systems, enabling data-driven decision-making and autonomous workflows across the organization. The ideal candidate brings deep experience in Power BI, strong data engineering fundamentals, and hands-on expertise with Microsoft Copilot Studio and Microsoft Foundry. You will play a key role in shaping our AI readiness strategy while delivering scalable, secure, and high-performance BI solutions. Key Responsibilities • Design, develop, and maintain advanced Power BI dashboards and reports that provide actionable insights to business stakeholders, • Lead the integration of agentic AI solutions into analytics workflows, enabling intelligent automation and decision support, • Collaborate cross-functionally with data engineers, business analysts, and AI teams to translate business requirements into technical solutions, • Architect and implement scalable data models and semantic layers for enterprise reporting, • Drive adoption of AI-powered tools (e.g., Copilot, autonomous agents) within BI and data workflows, • Establish best practices for data visualization, performance optimization, and governance, • Evaluate emerging technologies in AI and analytics, recommending strategic adoption where appropriate Database & Power BI Oversight • Design and manage robust data pipelines and data models using SQL, Azure Synapse, Fabric, or equivalent platforms, • Ensure data integrity, accuracy, and consistency across multiple data sources and reporting layers, • Optimize Power BI datasets, including dataflows, DAX calculations, and query performance, • Implement row-level security (RLS), governance policies, and compliance standards, • Oversee deployment pipelines, version control, and lifecycle management for BI assets, • Monitor and troubleshoot performance issues across databases and reporting environments, • Collaborate with data engineering teams to ensure efficient ETL/ELT processes, • Maintain documentation for data models, dashboards, and architecture AI Readiness & Agentic Systems • Design and deploy agentic AI solutions using Microsoft Copilot Studio and Microsoft Foundry, • Develop autonomous or semi-autonomous agents capable of performing business workflows, data analysis, and decision support, • Integrate AI models with Power BI and enterprise data systems to enable intelligent insights, • Assess organizational readiness for AI adoption, including data quality, governance, and infrastructure, • Implement prompt engineering, orchestration, and evaluation frameworks for AI agents, • Ensure responsible AI practices, including transparency, bias mitigation, and compliance, • Partner with stakeholders to identify high-impact use cases for AI-driven automation, • Stay current with advancements in LLMs, multi-agent systems, and enterprise AI platforms Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, • 7+ years of experience in Power BI development and data analytics, • Strong proficiency in DAX, Power Query (M), and data modeling, • Experience with SQL and modern data platforms (Azure, Fabric, Synapse, etc.), • Hands-on experience with Microsoft Copilot Studio and Microsoft Foundry, • Solid understanding of AI/ML concepts, particularly LLMs and agent-based systems, • Experience integrating AI capabilities into business intelligence or enterprise applications, • Strong problem-solving skills and ability to work in complex, data-rich environments Preferred Qualifications • Experience with Azure AI services, OpenAI APIs, or similar platforms, • Knowledge of Python or other scripting languages for data and AI workflows, • Familiarity with DevOps practices for data and AI (CI/CD, versioning, testing), • Experience in building or deploying multi-agent systems or workflow automation tools, • Understanding of data governance, compliance, and security frameworks Key Competencies • Strategic thinking with a strong focus on business impact, • Advanced data storytelling and visualization skills, • Ability to bridge traditional BI with next-generation AI capabilities, • Strong communication and stakeholder management skills, • Continuous learning mindset in a rapidly evolving AI landscape This role is essential for Garan Apparel's enterprise AI transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration—while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence. Salary: $150,000

Job DescriptionForward Deployed AI Engineer Full-time New York City, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Equity upside from early-stage ownershipBecome a Key Player as a Forward Deployed AI Engineer You will help build and deploy AI-native compliance enforcement for enterprise communications, directly impacting how the organization prevents risky AI messages before they send. You will work closely with engineering, product, and customer stakeholders to embed solutions into customer stacks. Hybrid (3 days onsite) in the New York City area. Here's How You'll Make an Impact on the Team • Build internal AI agents and automation to increase team leverage and reduce headcount needs, • Turn customer onboarding into a repeatable, mostly automated process, • Embed with early enterprise customers and integrate the product into their stacks, • Deploy clean, working solutions and hand back stable deployments to customers, • Debug live issues across APIs, data flows, and model behavior and fix root causes, • Surface field learnings back to product and engineering to improve the platformHere's What You'll Need to Be Successful in This Role, • 5+ years writing production software, including customer-facing or deployment-heavy roles, • Proficiency in a general-purpose language (for example Python or TypeScript), • Comfortable with APIs, cloud, and data systems, • Experience building automation or LLM agents that ran in production (not just demos), • Strong communication skills and ability to earn trust of engineers and executives, • Ability to move quickly and deliver finished work independentlyHere's What Else Might Help You Out, • Built LLM agent workflows or internal tooling at a startup, • Experience in regulated industries (financial services, healthcare, insurance), • Early-stage / 0-to-1 startup experiencePay Range $160,000 - $185,000/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description Company Description Palmetto is a leading clean tech company on a mission to accelerate the transition to a clean energy future. With a belief that consumers can have it all, we are an uncompromising energy company that makes coming clean a no brainer. Our award-winning technology platform empowers homeowners, businesses, and entrepreneurs to adopt renewable energy through simple, scalable, and innovative solutions. Operating at the intersection of B2B and D2C, we offer software, financial products, and services that drive real environmental impact—without compromising value. We deliver end-to-end solutions for whole home electrification that put clean energy within reach for all. Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world. Location This position will be based in Charlotte, NC, New York, NY or Boston, MA. Reporting This position will report to the Director of Engineering, Building Science Summary of Role Come build the software and data layer that helps make energy cleaner and cheaper for millions of homes: turning fragmented, real-world energy data into structured, trustworthy intelligence that our products, customers, and partners can act on. You'll develop the services, pipelines, and models that estimate how homes use, produce, and pay for energy, and run them as reliable production APIs at scale. The role spans physics-based and machine-learning energy modeling, large-scale geospatial and remote-sensing data processing, utility and grid data processing across every US market, and AI systems where LLM-powered agents extract data from complex source documents with humans in the loop. We're looking for a strong, versatile engineer, comfortable across frontend, backend, and the underlying infrastructure, and who is fluent with modern AI frameworks, tooling, and harnesses. This role sits in the Data and Energy Intelligence Unit, a multidisciplinary team of engineers and scientists owning data-intensive applications across energy modeling, geospatial data, and applied AI. Energy expertise is a plus, but we care most about excellent engineering and sound judgment; the domain is something a strong, curious engineer can learn on the job. Strategic & Tactical • Build and ship features end-to-end across the stack, from production APIs and data pipelines to the interfaces on top of them., • Develop AI-powered capabilities where they fit, including LLM- and agent-based systems that extract structured, validated data from complex, unstructured documents with a human-in-the-loop review workflow., • Take models from prototype to production: build the APIs, pipelines, and infrastructure that run physics-based and machine-learning models reliably at scale, with the testing and observability needed to catch regressions before they reach customers., • Work with large geospatial and remote-sensing datasets (imagery, elevation, and related sources) that feed the platform's models., • Raise the engineering bar and quality: lead and participate in peer technical design reviews, and hold a high standard for testing, observability, evaluation (including for nondeterministic AI outputs), and operational excellence., • Communicate clearly with engineers, product partners, and non-technical stakeholders, while developing a deep understanding of the energy domain the platform serves. Qualifications Minimum: • Advanced proficiency in Python for production software, with a demonstrated ability to write clean, maintainable, well-tested code and design solid APIs and services., • Full-stack breadth: comfortable working across a backend and a modern frontend (e.g., React/TypeScript), and the underlying infrastructure. You are a generalist who can pick up whatever the problem needs., • Hands-on experience building production LLM systems and agents with frameworks like pydantic-ai, LangGraph, or Claude/OpenAI Agent SDKs, including prompting, evals, and extracting structured data from messy, unstructured sources at scale., • Fluency with agentic coding tools to multiply your impact, used critically: questioning and pressure-testing what they produce and keeping your own judgment in charge., • Experience building and operating production systems: APIs and services, data pipelines, relational databases (SQL/PostgreSQL), containerization, cloud platforms (AWS/GCP/Azure), and observability, with sound practices (version control, code review, testing, CI/CD). Preferred: • Geospatial and remote-sensing experience: imagery, elevation/point clouds, and libraries such as rasterio, geopandas, and shapely; PostGIS., • Depth in the modern Python web stack: FastAPI, SQLAlchemy, Pydantic, and async Python., • Frontend depth: React, Vite, TypeScript, and data-fetching/state libraries (e.g., TanStack Query/Router)., • Strong quantitative or algorithmic aptitude, and comfort with the Python data stack (pandas, polars, NumPy)., • Experience in the clean energy space, with home energy data, or in building electrification and decarbonization. Employment is contingent upon the successful completion of a background check. Equal Employment Opportunity Palmetto embraces diversity and is an Equal Employment Opportunity employer. Employment is decided on the basis of qualifications, merit, and business need. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other status protected under federal, state, or local law. For more about our Privacy Policy, visit: https://palmetto.com/privacy-policy

Job DescriptionWhy NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. The Program We're building a class of early-career consultants to grow alongside some of the most experienced AI and cloud practitioners in the industry. This is a full-time role, not an internship. You'll go through structured onboarding, earn certifications, work directly alongside senior engineers and architects, and contribute to real client projects from day one. You'll be placed into either our functional or technical track based on where your strengths and interests point. We know careers aren't linear — as your strengths develop and your interests evolve, so will your path at NeuraFlash. What You'll Do Functional For people who thrive at the intersection of business and technology. You'll collaborate with clients to identify where AI creates value, configure and deploy AI-powered solutions, design agentic workflows, and iterate on prompts and system instructions to make solutions work in production. Future roles in this track may include: AI Experience Architect, Solution Architect, Product Owner, Agentforce Functional Lead Technical For people who want to build. You'll write and debug code across Salesforce and AWS environments, develop contact center solutions on Amazon Connect, build system integrations via APIs, and contribute to the technical delivery of AI-powered solutions end-to-end. Future roles in this track may include: Forward Deployed Engineer, AWS Developer, Salesforce Developer, AI Engineer Qualifications Required • Bachelor's degree in Computer Science, Engineering, Information Technology, Linguistics, Business, or a related field (2025 or 2026 graduate), • Foundational understanding of software development concepts: APIs, data flows, application logic, • Strong written and verbal communication skills with the ability to adapt to different audiences, • Self-motivated to excel across multiple client engagements, where you'll gain broad exposure to different industries and emerging technologies., • Based in or willing to relocate to New York City — this role works in-person at our Manhattan office, • Willingness to travel to client sites as project needs require (up to 25%), • Technical Track only: Foundational development experience in one or more languages (Python, JavaScript, Java, or Apex). Nice to Have • Hands-on experience with Salesforce, AWS, or GCP, • Exposure to AI tools (i.e. Claude/Anthropic, OpenAI) and the ability to articulate how you've applied them in practical settings, • Familiarity with Agile delivery and tools like JIRA or Confluence, • An active Salesforce or AWS certification, or progress toward one, • Internship, co-op, or other client-facing team experience Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. What's it like to be a part of NeuraFlash, Part of Accenture? • Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you're one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we're focused on keeping everyone connected and unified as one team., • Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don't mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients., • Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn't possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done, • Collaboration: You have a voice here! If you work with a team of smart people like we do, it's a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small., • Celebrate Often: We take our work seriously, but we don't take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don't forget to slow down and celebrate the big things and the small things together.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly—powering recommendation systems, clinical decision support, agentic AI products, and developer tooling—and the infrastructure underneath needs to scale with them. As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you. Responsibilities Infrastructure & Serving • Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer, • Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers, • Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows, • Develop high-performance GPU inference pipelines with low latency and high availability, • Own the multimodal data pipeline layer—manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems AI Systems & Tooling • Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling, • Build developer tooling that accelerates data science and ML engineering workflows across the organization Observability & Operations • Own AI observability—build monitoring, alerting, and debugging capabilities for production ML systems, • Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities, • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing, • Participate in our on-call rotation to ensure model serving uptime, pipeline reliability, and infrastructure healthRequirements, • 4+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering, • Strong software engineering fundamentals in Python and deep infrastructure expertise, • Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines, • Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS), • Experience building evaluation and observability systems for LLM-based or agentic AI applications is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • Experience with a systems language (Go, Rust, or C++) is a plus This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a high-leverage technical leadership role. You won't be operating tooling — you'll be designing and building the platforms other engineers depend on every day. The work you do will directly shape developer velocity, system reliability, and the agentic developer experience across a rapidly scaling engineering organization. What You'll Do • Set technical direction for key DevEx platform subsystems. Drive architectural decisions across CI pipeline infrastructure, test experience, artifact management, developer environments, and agentic tooling. Lead multi-quarter initiatives from design through production., • Design and build the core services that power developer productivity. Build pipeline services, test experience platforms, progressive rollout systems, artifact registries, ephemeral development environments, and the APIs that tie them together., • Architect and evolve our agentic developer platform. Elevate agentic DevEx capabilities so engineers can delegate development tasks and move faster in an AI-native way., • Build for real scale. DevEx systems must reliably serve thousands of application instances and engineering workflows across 40+ data centers with diverse infrastructure profiles., • Mentor Senior I and mid-level engineers, own design reviews, establish engineering patterns, and consistently raise the quality bar across the team., • Lead post-mortems and drive continuous improvement cycles that harden DevEx systems against failure modes and reduce operational burden for engineering teams.What We're Looking For, • 7+ years of software engineering experience with building production platforms, developer tooling, delivery infrastructure, or distributed storage systems., • Bachelor's degree in Computer Science, Engineering, or a related technical field., • Strong systems design skills. You think in distributed services, event-driven architectures, and APIs. You approach developer platform problems as software engineering problems, not configuration exercises., • Proficiency in Go, Python, or similar languages with production experience shipping services in cloud-native environments., • Deep experience with Kubernetes. You understand how workloads are packaged, scheduled, and managed at the cluster level, and can design platform services that integrate at that layer., • Experience with or strong technical interest in LLM-integrated developer tooling, such as agent frameworks, MCP-style tools, or AI-assisted developer workflows., • Proven track record of setting technical direction, making sound architectural trade-offs, and driving engineering decisions that hold up as systems and teams scale., • Effective cross-functional collaborator. You can align stakeholders, influence without authority, and translate complex technical trade-offs for technical and non-technical audiences alike., • Experience mentoring engineers and consistently raising the technical quality bar of the teams you work on.Nice to Have, • Experience building or extending CI and build infrastructure at scale, including GitHub Actions, Buildkite, Bazel, or similar build systems., • Experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Hands-on experience with artifact management, including distributed storage, caching, versioning, or multi-region artifact distribution (e.g. JFrog Artifactory, Cloudsmith, or custom-built systems)., • Direct experience building agentic systems, including MCP servers, tool-augmented LLM workflows, and incorporating these capabilities into DevEx platform features with consistent value-add. The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role Production Engineering ensures CoreWeave's cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success. In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You'll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments. This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time. What You'll Do • Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution., • Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery., • Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support., • Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes., • Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness., • Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns., • Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations., • Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate., • Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.What You've Worked On (Minimum Qualifications), • 7+ years of engineering experience building and operating distributed systems or cloud platforms., • Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation., • Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools., • Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes., • Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices., • A track record of successfully delivering hands-on reliability improvements through engineering execution.Preferred Qualifications, • Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations., • Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering., • Background operating or building large-scale AI or GPU-accelerated infrastructure., • Experience maintaining multi-year ownership of foundational production systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly—powering recommendation systems, clinical decision support, agentic AI products, and developer tooling—and the infrastructure underneath needs to scale with them. As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you. Responsibilities Infrastructure & Serving • Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer, • Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers, • Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows, • Develop high-performance GPU inference pipelines with low latency and high availability, • Own the multimodal data pipeline layer—manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems AI Systems & Tooling • Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling, • Build developer tooling that accelerates data science and ML engineering workflows across the organization Observability & Operations • Own AI observability—build monitoring, alerting, and debugging capabilities for production ML systems, • Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities, • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing, • Participate in our on-call rotation to ensure model serving uptime, pipeline reliability, and infrastructure healthRequirements, • 6+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering, • Strong software engineering fundamentals in Python and deep infrastructure expertise, • Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines, • Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS), • Experience building evaluation and observability systems for LLM-based or agentic AI applications is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • Experience with a systems language (Go, Rust, or C++) is a plus This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $155,000-$215,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Infrastructure/Hardware Engineer to join our Hardware Engineering team, reporting to the Hardware Engineering Manager. In this role, you will play a crucial part in the design, development, and optimization of our liquid cooling hardware infrastructure. You will collaborate closely with cross-functional teams, external vendors, and stakeholders to ensure the successful delivery of highly performant and reliable hardware solutions. About the role: Responsibilities: • Develop and maintain hardware/firmware management services., • Automate all aspects of the liquid cooling hardware lifecycle., • Collaborate with cross-functional teams to define liquid cooling hardware requirements, specifications, and system architecture., • Create and maintain accurate documentation of liquid cooling hardware designs, specifications, test procedures, and results., • Analyze and optimize the performance of liquid cooling hardware systems, identify bottlenecks, and propose improvements for enhanced efficiency., • Establish processes for internal liquid cooling hardware testing, deployment, and performance optimization., • Optimize,test, and support rack-level liquid cooling solutions, including in-rack CDU (Coolant Distribution Unit) configurations., • Work with liquid-to-air sidecars and remote CDUs to manage heat rejection and optimize thermal performance., • Collaborate with data center facilities teams to integrate liquid cooling systems into broader infrastructure designs., • Develop and implement monitoring, alerting, and control systems for liquid cooling components (e.g., pumps, valves, flow sensors)., • Interface with server vendors and OEMs to validate compatibility of hardware with liquid-cooled chassis and configurations.Who You Are: Must have at least 4 years professional experience: • Hands-on experience with in-rack CDUs, liquid-to-air heat exchangers, or end-of-row cooling units., • In-depth knowledge of server hardware, components, and management technologies., • Strong understanding of data center thermal design principles, including air and liquid cooling fundamentals., • Familiarity with coolant types, thermal transfer mechanisms, and leak detection/mitigation techniques., • Proficiency in ansible/python and experience with programmatically interacting with hardware using IPMI, SSH, or Redfish (preferably Redfish)., • Proven ability to collaborate with hardware and facility engineering teams to deliver integrated cooling solutions., • Strong passion for automation and infrastructure scalability, with a commitment to continuous improvement., • Excellent documentation skills and attention to detail., • Strong analytical and problem-solving abilities., • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $120,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health's foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. We are looking for a highly motivated Graduate Software Engineer to join our US technology team. This is a fantastic opportunity for an entry-level professional to gain hands-on experience in a real-world software environment. You will be at the intersection of product engineering, cloud computing, and complex data environments. You will play a crucial role in our engineering team, focusing on the analysis of logs and data to assist in the troubleshooting and resolution of key issues. Responsibilities • Log and Data Analysis: You will be responsible for reviewing application logs, system metrics, and operational data to identify patterns, errors, and potential issues., • Issue Triage & Resolution: Work closely with our engineering teams to triage incoming bugs and support tickets, providing them with initial findings and relevant information from your log analysis., • Feature Development: You will be introduced to bug fixing and the initial development of new features, helping to build out our products and solutions., • Collaborate and Document: Serve as a key link between our Quality Assurance, Operations, and and Engineering teams, ensuring seamless communication and a quick path to resolution. Maintain clear and concise documentation of issues, findings, and resolutions in our knowledge base.What we are looking for….., • Education: A Bachelor's degree in Computer Science, Software Engineering, or a related field., • Problem-Solver: You have a natural curiosity and a passion for figuring out problems and getting to the root cause of an issue. You are a disciplined creator of automated tests for your own code., • Eager to Learn: A genuine interest in software development and a strong desire to build a career in engineering., • Independent & Adaptable: You can work autonomously to find solutions to complex problems and be flexible and responsive to changing requirements and priorities., • Communicator: Excellent written and verbal communication skills, with the ability to explain complex technical issues to a variety of audiences., • Technical Skills: Some familiarity with programming languages (e.g., Python, C#, JavaScript) and a basic understanding of software systems is a plus.Desired Skills, • Experience with Application Observability tools such as Splunk or Datadog., • Experience with Cloud Platforms (e.g., AWS, Azure, GCP). Benefits: Alongside a salary of $76,240 - $95,300 (Depending on Experience), we offer a range of benefits including: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and up to 16 weeks of paid parental leave for a birthing parent, and up to 8 weeks of paid bonding leave for non-birthing parents, and up to 12 weeks of family caregiver leave, including 4 paid, to support care for a family member, and a Lifestyle Spending Account allowance each month. #LI-IF #LI-Remote At Fuze Health, we are committed to fostering an inclusive environment that celebrates diversity in all its forms. We believe that the diversity of thought, background, and experience strengthens our teams and drives innovation. We are an equal-opportunity employer and do not discriminate on the basis of race, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status. Our goal is to ensure that everyone feels valued and empowered to thrive. Fuze Corporate Inc. and its subsidiaries respects your privacy and is committed to protecting your personal information. Please read our Candidate Privacy Notice which explains how we collect, use, disclose, and protect personal information about job applicants during the recruitment and hiring process.

Job Description Location: New York, NY Work Model: Hybrid Industry: B2B SaaS / AI-powered data and automation software Compensation: $210K base, ~$250K-$260K total compensation including equity About the Company Our partner is an early-stage, venture-backed B2B software startup building AI-powered products that move and transform data and automate complex workflows. The company recently closed its Series A (roughly $15M raised to date) and grew revenue nearly 4x in the first half of the year. It is a fast-moving environment with plenty of greenfield problems to solve and real influence over the product. The Opportunity As a Senior Full Stack Engineer, you will work across the stack, spanning frontend, backend, and the data pipelines and agentic/AI workflows at the core of the product. This is a backend-leaning, product-focused role: you will take customer feedback, help shape product direction, and ship features end to end rather than simply working through a ticket queue. The stack is modern and intentionally lean (TypeScript and React, some Python, Postgres, Temporal for durable workflows, a monorepo with no microservices), so you can move quickly on genuinely hard problems. You will join a small, senior engineering team during a period of rapid growth, with meaningful equity and a direct line to the founders. Occasional customer conversations come with the early stage, but the role is primarily focused on building. Responsibilities • Build and ship features across the full stack, with an emphasis on backend systems, • Design and maintain data pipelines and data-movement workflows, • Contribute to agentic and AI-driven product capabilities, • Take customer feedback and help shape product direction, not just execute tickets, • Collaborate closely with a small, senior team in a fast-moving codebaseRequirements, • 5-7 years of full stack engineering experience (4+ considered on the lower end), • Strong proficiency in TypeScript and React, with some Python, • Product-minded engineer who can form opinions and contribute to product direction, • Demonstrable use of AI tools in your day-to-day workflow, with the ability to speak specifically to how you apply them, • Startup experience preferred; candidates from later-stage startups are welcome if they can articulate why they want an early-stage environment, • Able to work onsite in New York City five days per week, • Bonus: experience with ETL / data movement, browser automation or scraping, AWS, or agentic infrastructure

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, while playing a critical role in selecting and implementing technology that will help Hinge to make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases. You will work cross-functionally with multiple engineering teams, providing leadership and advice while serving as a crucial partner to various teams and stakeholders, including Business Intelligence, Product Data Engineering, Data Science, MLE & AI, and more. You will be making a real impact on the data platform team and will be key to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of tons of people. Responsibilities: Design, develop, and maintain core services within Hinge’s data platform. Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization. Work on observability systems that enables holistic system and data quality monitoring Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers. Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. • Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.What We're Looking For: 4+ years of professional/industry experience. Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development. Experience modeling data sets for different types of sources and business processes. Strong communication skills (written/verbal). Exposure to ML Ops or other data engineering workloads. Effective analytical, troubleshooting, and problem-solving skills. A degree in computer science, engineering, or a related field. Experience with the following technologies: Programming: Python, Go, Scala, Java Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure. DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions Streaming: Kafka, PubSub, Dataflow Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt BI platform: Looker Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission Own the evolution of Finetouch, Kargo's creative scoring system, by leading the design and production deployment of multimodal ML models that quantify creative quality and predict ad performance. This role is the technical anchor for the Creative Sciences Platform — translating research in LLMs, VLMs, and multimodal learning into scalable, reliable systems that creative and product teams build on. Success means Finetouch becomes faster, smarter, and more trusted as the intelligence layer behind Kargo's creative analytics. Outcomes - What Success Looks like in 6-12 months • Ship the next generation of Finetouch. Deliver a measurably improved version of the creative scoring model — better predictive accuracy on creative performance, expanded multimodal signal coverage (visual + text + engagement), and validated lift over the current baseline., • Stand up production-grade MLOps for Creative Sciences. Establish end-to-end pipelines (training, fine-tuning, deployment, monitoring) on MLflow/Kubeflow/Ray Train so model iterations move from notebook to production in days, not weeks, with full reproducibility., • Scale distributed training and inference. Reduce training time and inference cost on multimodal/VLM workloads through Ray, PyTorch Distributed, and right-sized cloud infrastructure — enabling larger models and faster experimentation cycles., • Expose Finetouch as a platform. Build and operate the APIs, embedding services, and model endpoints that let Glossi and other Kargo creative platforms consume scoring in real time, with documented SLAs and integration patterns., • Operationalize model reliability. Deploy real-time monitoring, drift detection, and alerting so production model degradation is caught before it affects creative decisions, with clear runbooks and on-call ownership. Skills - Core Technical Capabilities Required: • 5+ years in ML engineering or MLOps, with shipped production systems involving LLMs, VLMs, or multimodal architectures, • Expert in Python and PyTorch (or TensorFlow), plus distributed training frameworks (Ray, PyTorch Lightning, Horovod), • Hands-on with MLOps tooling: MLflow, Weights & Biases, Kubeflow, Argo, or Airflow for orchestration, experiment tracking, and automated retraining, • Cloud-native ML deployment on AWS (SageMaker), GCP (Vertex AI), or Azure ML, with infrastructure-as-code (Terraform, Helm), • Production fluency with Docker, Kubernetes, and CI/CD patterns for ML, • Strong SQL, data pipeline, and feature store design for scalable experimentation Preferred: • Experience with vector databases, embedding pipelines, and real-time retrieval systems, • Background in creative scoring, aesthetic modeling, or ad performance prediction Competencies - Behaviors We Like to See Research-to-Production Judgment • Knows when a model is good enough to ship vs. when it needs another iteration — doesn't over-engineer or under-validate, • Translates papers and prototypes into systems that survive production traffic, monitoring, and on-call Systems Thinking at Scale • Designs for the second and third version of the model, not just the first — pipelines, abstractions, and infra that compound over time, • Optimizes the full stack: training cost, inference latency, and developer iteration speed, not just model accuracy Cross-Functional Translation • Explains multimodal modeling tradeoffs to Product and Creative stakeholders in terms of business impact, not architecture diagrams, • Partners with Data Science and Platform Engineering as co-owners, not handoff points Operational Ownership • Treats drift, latency regressions, and silent failures as personal — instruments systems so problems are caught early and root-caused fast, • Documents architecture, decisions, and runbooks so the platform outlives any single contributor In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $150,000—$175,000 USD Our Laurels • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Adweek Media Plan of the Year Awards - Best Use of Insights Follow Our Lead • Big Picture: kargo.com, • The Latest: Instagram (@kargomobile) and LinkedIn (Kargo) Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment. Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Key Responsibilities:Data Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions