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A well-known financial company in the Philadelphia area is hiring a Senior Java Developer to their growing engineering department. On this team, you would be developing new features that support their core platform and would have a large impact on the product. This is a full-time position and must be living in the Greater Philadelphia area to be considered as you will be required to go onsite. Any applicants outside the area will not be considered. \n \nThis role and organization offer opportunities for learning, career advancement, and innovation in a fast-paced, modern technology environment. They look for a “go-getter” mentality and someone who thrives in a collaborative team setting. Required Skills & Experience • 7+ years of Java/Spring Boot, • Strong experience with microservices, • Deep experience building APIs, • Experience with Kafka, • Experience with Kubernetes, • Experience with cloud, AWS preferred, • At least a BS in Computer Science or similar\n Desired Skills & Experience, • FinTech experience, • React/frontend experience\n What You Will Be Doing\nTech Breakdown, • 100% Java\n\nDaily Responsibilities, • 100% Development\n The Offer, • Bonus eligible\n\nYou will receive the following benefits:, • Health, dental, and vision insurance, • Stock options, • 401(k) + employee contributions, • Hybrid schedule, • Employee perks + incentives\n\nApplicants must be currently authorized to work in the US on a full-time basis now and in the future. \n

Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting Agentic AI Python Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment. BeaconFire is based in Central NJ, specializing in Software Development, Web Development and Business Intelligence; looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation, and deployment. Job Responsibilities: • Collaborate with the team to design and develop high quality Web applications using, • Python, Flask, Django, and related technologies., • Write clean and efficient code, and ensure code maintainability and reusability., • Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking,, • embeddings, indexing, retrieval, reranking, grounding)., • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs), • using Python-first frameworks., • Perform code reviews to ensure code quality and consistency., • Conduct testing to ensure application quality and reliability., • Create and maintain technical documentation for web applications., • Participate in project planning, estimation, and prioritization., • Stay up to date with the latest technologies for Python development., • Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding, • checks), and improve system quality iteratively., • Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD,, • and security best practices. Requirement: • Experience in software development in Python3., • Decent understanding of the software development/testing life cycle., • Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills, • Experience with version control tools, such as Git., • Experience building RAG solutions (hybrid search, reranking, chunking strategies,, • embeddings, prompt + schema design)., • Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,, • Semantic Kernel, AutoGen) and tool/function calling patterns., • Solid knowledge of vector search concepts and at least one vector DB in production., • Strong engineering practices: code reviews, testing, telemetry, secure-by-design,, • reliability mindset. Preferred Qualifications: • Master’s Degree in Computer Science, Software Engineering, or related field., • 1+ year professional experience in Python web application development with either, • Flask or Django., • Experience in RESTful API development in Python., • Understanding of Python web application frameworks such as Flask or Django., • Experience with Cloud services, such as AWS., • Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud, • Run/GKE, storage)., • Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion)., • Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and, • multilingual retrieval., • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses),, • prompt/version management., • Frontend integration (basic React/Next.js) or platform enablement (internal developer, • tooling). Rameez Khan Technical Recruiter Beaconfire

• Design, code, test, and analyze scripting languages (Python), PHP7 software programs, and MySQL/NoSQL databases, • Researching, designing, documenting, and modifying software specifications throughout the production lifecycle, • Scripting server configurations on etwork IP devices, • Developing scripts to login and server configurations on network IP devices, • Developing scripts to pull and report data, • Develop service group mapping information for highly valuable internal reports, • Assist with development of internal APIs using PHP7, Laravel, and MySQL, • Assist with writing effective user stories and divide the stories into SCRUM tasks Skills • Bachelor Degree in Engineering or Computer Science 5-8 years related experience, • This position is coding intensive, and will require the ability to coordinate well with a team; as well as show personal initiative and take ownership of individual components of the development, • Strong PHP Skills with 5-8 years of experience, • Web Interface, UI Skills are a nice to have., • Oracle, Couchbase or MySQL exp – 2-4 Years, • GoLang – nice to have, • Strong verbal and written communication skills and demonstrated technical expertise, • Ability to work independently and works extremely well in an Agile/SCRUM team setting, including cross-functional structures, and varying levels of management., • Proficient with Microsoft Products (Access, Excel, PowerPoint, and SharePoint)., • Expert level in SQL queries, • Excellent knowledge of Apache and Linux configuration and command line usage, • Two or more years systems administration in a Linux environment

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: • Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state, • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps, • Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met, • Leading teams of data engineers and other technical team members through design, implementation and best practices., • Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization, • Works to ensure the solutions recommended are providing business value and alignment with client’s strategic goals, • Communication with non-technical executives focusing on value of modern enterprise level data solutions, • Driving innovative technology solutions through thought leadership on emerging trends, • Sharing project solutions and outcomes with colleagues to improve delivery on future projects, • Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent, • Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: • 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies, • Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks, • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python, • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture, • Ability to assess traditional and modern data architectural components based on business needs, • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred QualificationsPrevious consulting industry experience • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Providing thought leadership and internal engagement with leadership and innovation across enterprise, • Participating in providing mentorship and investing talent growth within Data & Analytics practice area, • Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionCompany Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade. Job Description Overview We are seeking an experienced Solutions Architect – AI to design, lead, and deliver innovative artificial intelligence solutions for our clients. This role blends deep technical expertise with strong consulting skills, enabling you to translate business challenges into scalable, AI-driven architectures. You will work closely with client stakeholders, delivery teams, and leadership to drive successful outcomes across a variety of industries. Key Responsibilities Client Engagement & Advisory Partner with client stakeholders to understand business objectives and identify opportunities to leverage AI/ML solutions Serve as a trusted advisor, guiding clients on AI strategy, roadmap development, and best practices Lead workshops, discovery sessions, and solution envisioning engagements Solution Architecture & Design Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP) Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision) AI/ML Delivery Oversight Provide technical leadership across AI initiatives from concept through production Collaborate with data scientists, engineers, and developers to ensure successful implementation Establish AgenticOps practices, including CI/CD for models, model versioning, and lifecycle management Pre-Sales & Business Development Support sales teams with solutioning, proposals, and client presentations Develop reusable assets, accelerators, and AI solution offerings Contribute to thought leadership, whitepapers, and go-to-market strategies Governance & Best Practices Ensure responsible AI practices, including ethics, bias mitigation, and compliance Define architecture standards, design patterns, and governance frameworks Stay current on emerging AI trends and technologies Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field 10 + years of experience in technology consulting, software architecture, or solution architecture Hands-on experience designing and delivering AI/ML solutions in production environments Experience with API design, microservices architecture, and containerization (Docker, Kubernetes) Experience working with Frontier AI models, local and open source models Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services Proficiency in multiple programming languages Experience designing data architectures and working with large-scale data platforms Preferred Qualifications Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake) AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) Experience with Legacy Systems and Architectures including SaaS Key Skills & Competencies Strong problem-solving and analytical thinking Excellent communication and stakeholder management skills Ability to translate complex technical concepts into business value Leadership and mentoring capabilities Adaptability in fast-paced, client-facing environments What Success Looks Like Delivering scalable, high-impact AI solutions that drive measurable business outcomes Building strong client relationships and becoming a trusted advisor Contributing to the growth of AI capabilities and offerings within the firm Enabling teams through best practices, innovation, and technical leadership Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI- JB1 #LI- Onsite

Job DescriptionCompany Description CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc. 500/5000 list for over a decade. Job Description CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: • Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state, • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps, • Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met, • Motivating and developing staff through teaching, empowering, and influencing technical and consulting “soft” skills, • Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization, • Driving innovative technology solutions through thought leadership on emerging trends, • Sharing project solutions and outcomes with colleagues to improve delivery on future projects, • Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications, • 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies, • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python, • Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks, • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture, • Ability to assess traditional and modern data architectural components based on business needs, • Familiarity with recommending data governance best practices including MDM, security, privacy and policies Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionSalary: About Proscia Proscia is revolutionizing pathology, the last major frontier in healthcare to embrace digital. As a leader in pathology AI software, we are empowering pathologists and scientists to transition from traditional microscope-based workflows to digital, AI-driven approaches, unlocking new possibilities in precision medicine. The digital pathology market is experiencing explosive growth as advances in AI enable unprecedented insights into diseases like cancer. Pathology is central to medicine, and the shift to AI-powered solutions is not just modernizing workflowsits transforming how diseases are diagnosed, treated, and understood. Predictions for the future of pathology show a tidal wave of adoption, with experts describing the field as poised for the next major breakthrough in healthcare innovation. Backed by over $100 million in funding from leading healthcare and technology investors, Proscia is at the forefront of this revolution. Joining Proscia means being part of a company at the cutting edge of healthcare innovation, where the possibilities are limitless. With the convergence of AI, precision medicine, and digital pathology, were not just changing pathologywere redefining whats possible in medicine. About the Role As a Senior Software Engineer, youll help build and evolve the software platform powering the future of digital pathology and medical imaging. Youll work across the application stack from scalable backend services and APIs to modern web applications and cloud-native infrastructure delivering enterprise-grade software used in real-world healthcare environments. Were looking for an engineer who is equally comfortable designing distributed systems, building intuitive user experiences, and leveraging modern AI-assisted development workflows. Youll collaborate closely with cross-functional engineering, product, and operations teams to deliver highly scalable, reliable, and maintainable solutions. Our platform combines high-performance medical imaging, modern web technologies, microservices architecture, and cloud-native infrastructure to solve meaningful problems in healthcare and diagnostics. The ideal candidate has strong experience with TypeScript, Node.js/Deno, PostgreSQL, modern frontend development (Vue preferred), automated testing, and service-oriented architectures along with a passion for building high-quality software and continuously improving engineering practices. Key Responsibilities • Design, develop, test, and deploy scalable services and applications across the platform stack, • Build and maintain modern APIs, microservices, and web applications using TypeScript and Vue, • Collaborate within a high-performing Agile/Scrum team to define, estimate, and deliver impactful features, • Partner with engineering teams across Proscia to ensure interoperability, platform consistency, and shared architectural direction, • Contribute to frontend architecture and user experience improvements for complex, data-intensive applications, • Adopt an AI-first mindset by integrating modern intelligent tools into your engineering workflows for system navigation, configuration validation, and complex troubleshooting. We expect our engineers to already be leveraging these technologies as a core part of their professional practice., • Demonstrated experience developing with large language models, agentic pipelines, or AI agents, along with a proven track record of applying advanced AI-assisted development techniques to solve sophisticated technical challenges., • Fluency in prompt engineering, tool-use patterns, and the evaluation of AI systems, including the ability to identify necessary guardrails and ensure the reliability of AI-generated technical outputs., • Participate in architectural design discussions and help drive best practices for scalability, observability, maintainability, and performance, • Improve developer productivity through automation, testing, CI/CD, and platform tooling, • Continuously evaluate emerging technologies, frameworks, and engineering practices to improve the platform Required Experience • 5+ years of professional software engineering experience building production-grade applications, • Strong experience with TypeScript and Node.js/Deno in enterprise application environments, • Experience building and maintaining RESTful APIs and service-oriented applications, • Experience developing modern web applications using Vue.js or comparable frontend frameworks such as React or Angular, • Strong understanding of distributed systems, microservices, and API-driven architectures, • Experience working with PostgreSQL in production environments, including ORM usage and direct SQL optimization, • Strong automated testing experience using frameworks such as Vitest and Playwright, • Experience building and deploying cloud-native applications in AWS or Azure, • Prior experience with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with CI/CD pipelines and modern software delivery practices, • Familiarity with Git-based workflows and Agile/Scrum development methodologies, • Excellent problem-solving, communication, and collaboration skills, • Passion for delivering high-quality, maintainable, and observable software systems Desirable Experience • Experience designing and scaling distributed systems in production environments, • Practical experience with microservices architecture and understanding associated trade-offs, • Experience building highly interactive or data-intensive frontend applications, • Familiarity with medical imaging, healthcare software, or regulated environments, • Experience working with large-file or high-throughput systems such as image processing or streaming platforms, • Understanding of event-driven architectures and messaging systems such as RabbitMQ, Kafka, or AWS SQS, • Experience with caching strategies, load balancing, API gateways, and performance optimization techniques, • Knowledge of database optimization strategies including indexing, partitioning, and connection pooling, • Experience with observability and monitoring tools for logs, metrics, and distributed tracing, • Familiarity with infrastructure as code tools such as Terraform or CloudFormation, • Experience participating in architectural reviews and translating technical designs into implementation plans, • Experience mentoring engineers and contributing to engineering culture and standards Beyond Just Work As a company in healthcare, we want our people to be happy and healthy, in and out of the office. In addition to competitive pay, we ensure everyone on our team is supported with savings, schedule, and insurance options that promote long-term health and personal growth. Our office environment is designed for creativity and agility: with walls as notepads and couches for collaboration. Were located in the heart of Philadelphia, with views of the city so you can spend your time focusing on what matters most. At Proscia, we dont just accept differences we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. Proscia is proud to be an equal opportunity workplace. Why This Role Matters At Proscia, were transforming pathology through software, AI, and modern medical imaging technology. Youll work on meaningful technical challenges involving cloud-native systems, enterprise applications, high-performance image workflows, and modern web platforms all while helping advance the future of precision medicine and diagnostics.

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!About Obsidian Security Obsidian helps companies figure out what's happening in their SaaS applications - who's accessing what, where data is going, and what looks suspicious. Role Description You'll work across the full stack on the Threat product team: browser extension code that hooks into web applications, backend services processing millions of events, and data pipelines feeding our detection engine. One day you're in TypeScript debugging why a content script isn't capturing form submissions on some vendor's weird SPA. The next you're in Python fixing a Kafka consumer that's falling behind. Sometimes you're in Rust optimizing a hot path in the telemetry collector. Right now, a big focus is shadow AI - enterprises want to know when employees are pasting sensitive data into ChatGPT, Claude, or whatever new LLM chatbot showed up this week. You'll build the systems that catch this. What you'll do • Own features from "we need to detect X" through production, across extension, backend, and pipeline code, • Write content scripts that interact with web pages and background scripts that coordinate everything, • Build backend services: event ingestion, enrichment, alerting, • Work with security researchers to turn threat intel into working detections, • Help the team get better through code review and design discussionsWhat we're looking for, • 8+ years building software, ideally touching a few different areas (not just one stack forever), • You actually understand how browsers work. DOM APIs, the event loop, how SPAs route, why CORS exists. Not just "I used React.", • You've built browser extensions before. You know the content script/background script split, message passing, manifest v3 limitations., • Strong TypeScript. Comfortable in Python. Willing to write Rust (or already do)., • You've dealt with data at scale: event streaming, pipelines, high-throughput ingestion., • Backend basics: APIs, Postgres, Elasticsearch, Kafka or similar., • Can work without someone telling you what to do next.Bonus points, • You've thought about AI security - prompt injection, data exfiltration, that kind of thing, • Background in detection engineering, SIEM, or security ops, • You've built or contributed to security tools Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave, • Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$176,000—$196,000 USD

Job DescriptionCompany Description IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity. We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn. This role offers flexibility, but candidates must reside in Pennsylvania, New Jersey, or New York and be within a reasonable travel distance of our Philadelphia office, as regular in-person collaboration is required. Job Description Join our DevOps Engineering team as a Senior Database Engineer to design, build, and engineer cloud-native database platforms across a modern, multi-engine data stack. This is an engineering role, not a DBA role, focused on building scalable systems, writing infrastructure-as-code, and embedding databases into software delivery pipelines. You'll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics. You will own and evolve a diverse ecosystem spanning AWS RDS, Aurora, DynamoDB, Redshift, Azure SQL, PostgreSQL, Snowflake, and NoSQL engines, integrating AI-driven automation and MLOps-ready data foundations to support critical applications and machine learning workflows. Key Responsibilities Multi-Engine Cloud Data Architecture & Platform Engineering • Design, build, and engineer hybrid data solutions spanning relational (PostgreSQL, Aurora, RDS, Azure SQL), columnar (Redshift, Snowflake), and NoSQL (DynamoDB, DocumentDB, OpenSearch) engines — selecting the right engine per workload., • Architect cloud-native data lakehouse platforms on AWS using S3, Lake Formation, Glue, and open formats (Apache Iceberg, Delta Lake, Parquet), with Azure Data Lake as a secondary target., • Implement and manage Medallion Architecture (Bronze / Silver / Gold) patterns to support raw ingestion, curated analytics, and business-ready datasets., • Build and optimize hybrid data platforms spanning operational databases (PostgreSQL / RDS / Aurora / DynamoDB) and analytical systems (Snowflake / Redshift)., • Develop and maintain semantic layers and analytics models to enable consistent, reusable metrics across BI, analytics, and AI use cases., • Engineer efficient data models, ETL/ELT pipelines, and query performance tuning for analytical and transactional workloads., • Engineer replication topologies, partitioning strategies, and data lifecycle automation as code — not manual DBA operations., • Build automated schema migration pipelines (Flyway/Liquibase) and data versioning workflows integrated into CI/CD replacing manual schema change management., • Design and implement API-first data access patterns, enabling engineering teams to interact with databases through well-defined, versioned interfaces rather than direct connection strings. Advanced Data Pipelines, Streaming & Orchestration • Engineer ELT/ETL pipelines using AWS-native services (Glue, Kinesis, MSK, Step Functions, EventBridge) and modern tooling (dbt, Airflow) for batch, micro-batch, and near-real-time workloads., • Build streaming data pipelines using AWS Kinesis Data Streams, Kinesis Firehose, and MSK (Managed Kafka) for event-driven, low-latency ingestion across multiple database targets., • Implement data quality checks, schema enforcement, lineage, and observability across pipelines., • Optimize performance, cost, and scalability across ingestion, transformation, and consumption layers., • Implement change data capture (CDC) using AWS DMS, Debezium, or native engine features to synchronize data across SQL, NoSQL, and analytical systems. NoSQL & Document Store Engineering • Design and optimize DynamoDB schemas using single-table design patterns, GSIs, LSIs, and DynamoDB Streams for event-driven architectures., • Architect DocumentDB (MongoDB-compatible) clusters for document workloads requiring flexible schema and hierarchical data models., • Build and manage OpenSearch / ElasticSearch clusters for full-text search, log analytics, and observability use cases., • Evaluate and recommend the right NoSQL engine (DynamoDB vs DocumentDB vs OpenSearch vs ElastiCache) based on access patterns, latency, and cost profile., • Implement TTL policies, DynamoDB Accelerator (DAX), and ElastiCache (Redis/Memcached) for high-throughput caching layers. AI-Enabled Data Engineering & MLOps Foundations • Apply AI and ML techniques to data architecture and operations, including intelligent data quality validation, anomaly detection, schema drift detection, and query workload pattern analysis — using AWS SageMaker and Amazon Bedrock., • Design and build ML-ready data foundations: SageMaker Feature Store, training dataset pipelines, experiment tracking, and inference data pipelines using AWS-native MLOps services., • Integrate LLM capabilities via Amazon Bedrock for AI-assisted data documentation, query generation, lineage summarization, and automated data cataloging., • Implement vector database solutions (pgvector on Aurora/RDS, OpenSearch k-NN) to support AI similarity search and retrieval-augmented generation (RAG) use cases., • Build AI-powered observability using ML-driven anomaly detection on pipeline metrics, query performance trends, and data quality SLAs. Software Engineering, DevOps & Infrastructure as Code • Build and manage all data infrastructure as code using Terraform and AWS CDK — covering RDS, Aurora, DynamoDB, Redshift, Glue, MSK, Kinesis, Snowflake, and supporting IAM/networking components., • Integrate database changes into CI/CD pipelines (GitHub Actions, AWS CodePipeline) with automated schema testing, data contract validation, deployment, and rollback., • Develop internal platform tooling using Python, SQL, and AWS SDK (boto3) — building self-service capabilities that allow engineers to provision governed database environments on demand., • Implement database-as-code practices: automated schema migrations, snapshot/restore testing pipelines, and environment clone automation — eliminating manual DBA provisioning tasks., • Build and publish internal data platform APIs and SDKs that abstract database complexity from application teams. Security, Governance & Compliance Engineering • Engineer enterprise-grade data governance across all engines: RBAC, column/row-level security, field-level encryption, dynamic data masking, and comprehensive audit logging, implemented as code, not manual configuration., • Define and enforce data contracts and ownership using AWS Lake Formation, Glue Data Catalog, and Snowflake governance — versioned and managed in source control., • Partner with Security and Compliance teams to ensure audit readiness and regulatory alignment (SOC 2, HIPAA, GDPR where applicable)., • Manage AWS IAM policies, KMS encryption, VPC security groups, and private endpoints (PrivateLink, VPC Endpoints) for least-privilege access and network isolation., • Implement secrets management using AWS Secrets Manager and Parameter Store with automated credential rotation for all database engines.Qualifications Experience • 7+ years of experience in database platform engineering, data engineering, or cloud infrastructure engineering in production environments., • Proven experience as a lead or senior engineer on multi-engine database platforms spanning both SQL and NoSQL workloads — with a software engineering, not administration, mindset., • Strong track record of designing and operating data platforms at scale in AWS environments, with databases managed as code from day one. AWS & Cloud Databases • Deep hands-on expertise with AWS RDS (PostgreSQL, MySQL, Oracle), Aurora (Serverless v2, Global Database), and RDS Proxy., • Production experience with DynamoDB: single-table design, GSI/LSI strategy, Streams, DAX, and capacity planning., • Working knowledge of AWS Redshift, Glue, Lake Formation, Kinesis, MSK, and EventBridge for pipeline and lakehouse architectures., • Familiarity with Azure SQL, Azure Data Factory, or Azure Synapse is a plus. Snowflake • Strong hands-on Snowflake experience: performance tuning (clustering, materialized views, query profiling), cost optimization (warehouse sizing, auto-suspend, credits), security (RBAC, dynamic masking, network policies), and data sharing. SQL, NoSQL & Data Modeling • Deep SQL expertise across multiple engines (PostgreSQL, T-SQL, Snowflake SQL, DynamoDB PartiQL)., • Strong understanding of Medallion Architecture, semantic layers, and analytics engineering best practices., • Proven NoSQL data modeling: DynamoDB single-table design, document store schema design, and search index architecture. Pipelines & Orchestration • Experience building and operating advanced ELT/ETL pipelines using dbt, AWS Glue, Airflow, or similar orchestration frameworks., • Hands-on experience with streaming ingestion using Kinesis, MSK (Kafka), or equivalent event-driven technologies., • Familiarity with CDC patterns and tools (DMS, Debezium) for cross-engine data synchronization. AI & ML Data Foundations • Understanding of ML pipeline requirements: feature engineering, training dataset preparation, model versioning, and inference data patterns., • Exposure to AWS SageMaker, Bedrock, or equivalent ML platforms from a data infrastructure perspective., • Awareness of vector databases and embedding-based retrieval (pgvector, OpenSearch k-NN) is a strong plus. Infrastructure & Automation • Proficiency with Terraform for database and cloud infrastructure as code; AWS CDK experience is a plus., • Proficiency with Python (boto3, SQLAlchemy, pandas) and SQL for data transformation, automation, and tooling., • Experience integrating database workflows into CI/CD pipelines using GitHub Actions, CodePipeline, or similar. What Success Looks Like Within the First 90 Days • Fully onboarded and delivering enhancements across Snowflake, RDS, Aurora, and DynamoDB environments., • Conducted a comprehensive audit of existing database architectures and delivered a prioritized improvement roadmap., • Delivering optimized queries, schemas, and automation for key systems., • Established IaC coverage for at least one previously manually-provisioned database environment. Ongoing Outcomes • Measurable improvements in query performance, pipeline reliability, and data platform scalability across all database engines., • Zero manual database provisioning — all environments managed through infrastructure as code and CI/CD pipelines., • Continuous collaboration across teams to enhance data availability and governance., • AI-powered automation reducing manual operational overhead in database monitoring, anomaly detection, and data quality management., • ML-ready data foundations enabling Data Science teams to ship faster with governed, reproducible datasets. Bonus Experience (Nice to Have) • AWS certifications: AWS Database Specialty, AWS Solutions Architect, AWS Data Engineer Associate., • Snowflake SnowPro Core or Advanced Data Engineer certification., • Experience with Apache Iceberg, Delta Lake, or Hudi for open table format lakehouse architectures., • Hands-on experience with SageMaker Feature Store, Model Registry, or MLflow for MLOps workflows., • Familiarity with data observability platforms (Monte Carlo, Bigeye) or custom observability with Great Expectations / dbt tests., • Experience with graph databases (Neptune) or time-series databases (Timestream) in AWS., • Exposure to Databricks on AWS or Azure for unified data and AI workloads Additional Information What does IntegriChain have to offer? • Mission driven: Work with the purpose of helping to improve patients' lives!, • Excellent and affordable medical benefits + non-medical perks including Student Loan Reimbursement, Flexible Paid Time Off and Paid Parental Leave, • 401(k) Plan with a Company Match to prepare for your future, • Robust Learning & Development opportunities including over 700+ development courses free to all employees #LI-ZG1 IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation. Our policy on visa sponsorship for US based positions: Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain.

Job DescriptionThe FreedomPay Commerce Platform is the technology of choice for many of the largest companies across the globe in retail, hospitality, lodging, gaming, sports and entertainment, foodservice, education, healthcare and financial services. FreedomPay’s technology has been purposely built to deliver rock solid performance in the highly complex environment of global commerce. The company maintains a world-class security environment and was first to earn the coveted validation by the PCI Security Standards Council against Point-to-Point Encryption with EMV standard in North America. FreedomPay’s robust solutions across payments, security, identity and data analytics are available in-store, online and on-mobile and are supported by rapid API adoption. The award winning FreedomPay Commerce Platform operates on a single, unified technology stack across multiple continents allowing enterprises to deliver a consistent, repeatable experience on a global scale. FreedomPay is a fast paced, high growth company with a great culture with competitive benefits and compensation with a business casual atmosphere. We are seeking an experienced Director of Web Infrastructure to lead and grow our Platform, Web Infrastructure, DevOps, Site Reliability, Release Engineering, and Infrastructure Architecture capabilities. The right candidate finds real satisfaction in making complex, mission-critical systems more reliable, more automated, and faster to deploy. Our environment is a pragmatic mix of established on-premises infrastructure and a growing Kubernetes footprint, and the right candidate will bring a track record of delivering results with the tools at hand. About the Role You’ll manage day-to-day operations of the DevOps and Release Engineering teams while working closely with Site Reliability, Infrastructure Architecture, and numerous development teams across the organization. The position is nominally 50/50 hands-on technical work and people management. This is a global operation — our infrastructure spans multiple regions and time zones, and the pace of delivery reflects that. The right candidate will bring the flexibility and commitment that a 24/7 payment platform demands. This position participates in an engineering escalation on-call rotation. This position is based in the Philadelphia area with a hybrid schedule. Fully remote arrangements may be considered for exceptional candidates, with occasional travel to Philadelphia. Primary Responsibilities • Serve as a trusted operational right hand to the VP — owning execution, anticipating needs, and driving priorities forward, • Day-to-day management of DevOps and Release Engineering teams, • Work closely with Site Reliability, Infrastructure Architecture, and numerous software development teams to drive cross-functional initiatives, • Provide hands-on support to teams during release preparation, deployment execution, and post-release stabilization, • Ensure efficient delivery of initiatives from inception through production deployment and beyond, with a strong emphasis on release readiness and cross-team coordination, • Own production support escalations and drive rapid resolution across teams, • Continuously improve intra-team and inter-team processes and workflows, • Facilitate collaboration across the organization and promote leadership priorities and vision, • Provide direct, hands-on, expert-level technical assistance as needed, • Perform additional related tasks as assigned, • After-hours support for any production issue escalation as needed, in an on-call rotational basis to provide after-hours support Required Background & Experience, • Bachelor’s degree, graduate degree, or equivalent experience, • Extensive, recent experience in a mature, heavily Microsoft-oriented environment, • Experience in a high-volume, global service provider or payment processing environment, • Demonstrated history of self-directed learning — someone who independently seeks out knowledge, builds new skills without being told to, and doesn’t wait for formal training to close gaps, • Proven ability to get up to speed quickly in large-scale, legacy-rich environments, • Strong sense of ownership and service — takes pride in making their leadership and their teams more effective, • Excellent communication and organizational skills, • Strong problem-solving skills and a bias toward practical, proven solutions Required Technical Skills, • Deploying and managing large-scale, high-volume production .NET applications with zero-downtime requirements, • Advanced Windows Server / IIS deployment, configuration, and administration, • Kubernetes (AKS) deployment, configuration, and administration, • Azure cloud platform experience, • Azure DevOps, • Git, • NGINX, • Cryptography & Certificate management, • Proficiency with AI-assisted development and automation tools, • Solid understanding of DNS, HTTP/HTTPS, load balancing, TCP/IP routing and switching Preferred Technical Skills & Experience, • Software development experience, • Octopus Deploy, • Argo CD / Argo Rollouts, • Dynatrace (or equivalent APM platform at scale), • PowerShell, • SQL, • Redis, • F5, • OpenShift, • Apache Kafka, • RabbitMQ, • Database deployment automation, • Experience integrating QA test automation into CI/CD, • Additional Experience, a Plus: PCI policies and best practices, AI/ML, Service catalog implementation and management, documentation automation, Snowflake As the fastest growing commerce company in the industry, we offer the opportunity for tremendous upward mobility within the company as well as development and professional growth opportunities. FreedomPay's fulltime roles provide exceptional benefits including medical, prescription, dental and vision coverage, Life Insurance, Retirement Plans with company match, commission sharing plan, flexible hybrid working environment, and great parental and other leave programs. All positions must be able to successfully pass a background check as well as a credit check.

Job Description Employment Type: Full‑Time, Remote About Us Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions. Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Its Acoustic Science division licenses spatial and multichannel HD audio technologies—including ADIO®, WiSA®, and Sumerian®—to customers in sports & entertainment, events & venues, automotive, finance, and other sectors. Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets. Job Description We are seeking a Senior Data Architect & Reporting Solutions Designer to define and build the next‑generation data foundation that powers enterprise analytics, operational reporting, and strategic decision‑making. This role blends deep expertise in data architecture, production‑grade ETL/ELT engineering, and reporting design, ensuring that data is modeled, transformed, and delivered with reliability, clarity, and scale. You will architect end‑to‑end data ecosystems—from ingestion pipelines to semantic layers—while shaping how data is presented through enterprise reporting platforms. Responsibilities Data Architecture & Modeling • Architect scalable, secure, and high‑performance data environments across cloud and on‑prem systems., • Design logical and physical data models for operational reporting, analytics, and executive dashboards., • Build semantic layers, dimensional models, and data marts optimized for BI consumption., • Define data standards, modeling conventions, and architectural patterns that ensure long‑term maintainability. Production‑Grade ETL/ELT Engineering • Design and implement automated, resilient, and low‑maintenance ETL/ELT pipelines for batch and streaming data., • Build ingestion and transformation workflows using tools such as Airflow, dbt, Spark, Kafka, or similar frameworks., • Implement robust data‑quality checks, schema evolution strategies, and lineage tracking., • Optimize pipelines for performance, cost efficiency, and operational reliability. Reporting Architecture & Data Presentation • Shape data structures specifically for reporting, dashboarding, and self‑service analytics., • Partner with business stakeholders to translate reporting needs into scalable data models and curated datasets., • Define KPI frameworks, metric definitions, and standardized reporting logic across the organization., • Ensure data is presented in a way that is intuitive, consistent, and aligned with business objectives. Enterprise Reporting Integration • Integrate and manage enterprise‑grade BI platforms (Power BI, Tableau, Looker, Qlik, MicroStrategy, etc.)., • Architect secure, performant data connections, refresh strategies, and semantic models., • Collaborate with analysts and business teams to design dashboards, reports, and analytic workflows., • Implement governance around report lifecycle management, versioning, and access control. Data Governance, Security & Compliance • Define and enforce data governance frameworks including cataloging, lineage, retention, and stewardship., • Implement privacy‑by‑design principles and ensure compliance with regulatory requirements., • Architect secure data‑exchange mechanisms using encryption, tokenization, and role‑based access controls. Technical Leadership • Provide architectural guidance to data engineering, analytics, and reporting teams., • Evaluate emerging technologies in data modeling, ETL automation, BI tooling, and metadata management., • Produce architecture diagrams, data flow documentation, and technical specifications., • Champion best practices for data quality, modeling, and reporting across the organization. Qualifications • 5+ years in data architecture, data engineering, or enterprise reporting design., • Strong expertise in:, • Data modeling (relational, dimensional, semantic), • SQL and NoSQL systems, • ETL/ELT pipeline design, • Cloud data platforms (AWS, Azure, or GCP), • Hands‑on experience with:, • Data warehouses (Snowflake, Redshift, BigQuery), • Orchestration frameworks (Airflow, Dagster, dbt), • Streaming systems (Kafka, Kinesis, Pub/Sub), • Enterprise BI tools (Power BI, Tableau, Looker, etc.), • Deep understanding of data governance, security, and compliance frameworks., • Ability to translate business requirements into scalable data and reporting architectures. Preferred • Experience designing semantic layers and enterprise reporting models., • Background in high‑volume data environments or event‑driven architectures., • Familiarity with metadata management, data catalogs, and lineage tools., • Experience supporting finance, marketing, operations, or product analytics teams. What We Offer • Competitive compensation and benefits., • Influence over the architectural direction of a modern enterprise data platform., • Opportunities to work with advanced data modeling, ETL automation, and BI technologies., • A culture that values technical rigor, ownership, and innovation.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description The role brings in-depth technical, functional, and industry expertise to amplify business development, account management, and thought leadership within CapTech. They will support and participate in solution delivery, and they are the primary interface with the client’s technology and business leaders, providing technical and project leadership. They also are a servant leader to our clients and consultants, providing management consulting on data and analytics, as well as career assistance and mentorship. • Leveraging industry and technical expertise to collaborate with client stakeholders to turn vague concepts into actionable insights, and to maximize the value of client data across the organization., • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps., • Assessing and advocating data management technologies and practices, eliminating gaps between the current state and targeted future state., • Formulating and articulating architectural trade-offs across solution options before recommending a solution, ensuring client technical requirements are met., • Motivating and developing team members through coaching, teaching, empowering, and influencing technical and consulting skills., • Partnering with portfolio team to demonstrate technical capabilities, envision valuable solutions, estimate proposed work plans, and recommend team composition talent to support delivery., • Working in a fast-paced environment, simultaneously supporting internal CapTech initiatives and leading client engagements.Qualifications, • 14+ years of leading large technical teams and projects., • 10+ years of experience implementing a wide variety of on-premises and cloud data management platforms and technologies., • Proven track record of assessing traditional and modern data architectures based on business needs in a consultative approach., • Experience with the modern data stack/platform technologies, products, and approaches., • Delivery experience on multiple cloud platforms (e.g., AWS, Azure, GCP)., • Deep background with integrations and transformations of numerous types of data sources, and the solution delivery of real-time data distribution (e.g., Kafka, Kinesis, Flink), NoSQL (e.g., MongoDB, DynamoDB, Firebase), and warehousing platforms., • History of conducting/implementing strategic data assessments, data governance frameworks, and data quality measurements., • 5+ years of scoping technical engagements within consulting services Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!As a Software Engineer at Obsidian, you'll: Work across different parts of the product and codebase: backend services, APIs, data pipelines, integrations, product features, and internal tools. This is a good role for someone who likes variety and is comfortable learning a new area without needing everything mapped out in advance. You might spend one week improving an ingestion service, the next building an API for a customer-facing workflow, and the next helping debug a production issue with another team. The work is practical, product-driven, and close to real customer problems. What you'll do • Build and maintain product features across backend services, APIs, data systems, and user-facing workflows, • Work with product managers, designers, security researchers, and other engineers to ship useful, reliable software, • Contribute to services that process SaaS activity, identity data, permissions, alerts, and security findings, • Improve existing systems for performance, reliability, maintainability, and observability, • Write clear, well-tested code and participate in code reviews and design discussions, • Learn unfamiliar parts of the stack and help where the team needs you most, • Use AI-powered development tools thoughtfully while reviewing and validating the outputWhat's in It for You, • Contribute to a core product used by enterprises worldwide, • Work on security problems across SaaS, identity, data, and AI usage, • Learn from experienced engineers across the US and UK teams, • Build depth in backend engineering while getting exposure to adjacent areas like data pipelines, detection systems, cloud infrastructure, and product engineering, • Be part of a fast-moving company where engineers are expected to own real problemsRequired Skills & Experience, • 3+ years of experience in a software engineering role, • Proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL, • Experience building backend services, APIs, data processing systems, or product features, • Familiarity with relational databases such as Postgres, • Understanding of software design principles, testing, debugging, and clean code practices, • Experience working with Git and participating in code reviews, • Comfort working in a collaborative team environment with changing requirements, • Curiosity and willingness to learn unfamiliar systems, tools, and problem domainsDesirable Experience, • Experience with cloud platforms such as AWS or GCP, • Exposure to containerization technologies such as Docker or Kubernetes, • Familiarity with event or streaming systems such as Kafka, Redis, or similar technologies, • Experience with observability tools such as Grafana, Prometheus, or similar platforms, • Exposure to CI/CD pipelines and deployment tooling, • Interest in security, SaaS platforms, identity, data protection, or detection systems, • Experience using AI-powered developer tools in day-to-day engineering workAI Skills & AI-Native Engineering Expectations As an AI-forward engineering organization, we expect engineers to use AI tools effectively and understand foundational AI concepts that are increasingly part of modern software development. AI Engineering Capabilities • Leverage AI tools to improve development speed while critically reviewing AI-generated output, • Understand core AI/ML concepts such as LLMs, embeddings, inference, evaluation, and vector databases, • Build software that is reliable, observable, secure, and maintainable in AI-assisted development workflows, • Show good judgment about where AI tools help, where they do not, and how to validate their output Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave, • Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$131,000—$152,000 USD

Job Description Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems. This is a remote position, with preference given to East Coast candidates. Key Responsibilities: • Design, develop, and maintain a scalable lakehouse architecture, including a medallion (bronze/silver/gold) data model optimized for analytics and AI/ML consumption., • Design, implement, and operate ELT pipelines, including workflow orchestration, scheduling, and monitoring, to ensure reliable and scalable execution., • Establish data quality, testing, and observability practices, and proactively monitor and resolve data and automation issues to ensure platform reliability and trust., • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information., • Optimize performance of data workflows and storage for cost efficiency and speed., • Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards., • Provide technical leadership and mentorship to team members – guiding best practices, skill development, and collaboration cross-functionally., • Enable AI/ML use cases through well-structured data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving., • Develop and maintain data pipelines using version control and CI/CD best practices in a collaborative engineering environment., • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery., • Serve as a trusted expert on organizational data domains, processes, and best practices. Requirements: • 5+ years of hands-on data engineering experience required, • 3+ years of experience building and operating data pipelines on a modern lakehouse platform (e.g., Databricks – Unity Catalog, Delta Live Tables, Asset Bundles), including data modeling, governance, and CI/CD deployment patterns, • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required, • Strong communication skills with the ability to collaborate and influence across engineering, analytics, and business stakeholders required, • Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran preferred, • DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus, • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs., • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionFounded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we've built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we're transforming how SaaS is secured—in the era of agentic AI. Today, Obsidian is trusted by global enterprises like Snowflake, T-Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world's largest Fortune 1000 and Global 2000 companies.With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we're scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security! As a Senior Software Engineer at Obsidian, you'll: Own meaningful product and platform work across Obsidian's engineering stack. This is a generalist role for someone who can move between backend services, data flows, APIs, product features, integrations, and production systems without getting stuck at the boundaries between them. You'll work on systems that help customers understand activity, risk, and threats across their SaaS environments. Some problems will be well-defined. Others will start as a customer need, a security signal, or a vague product idea that needs technical shape. You should be comfortable turning that ambiguity into a design, a plan, and working software. What you'll do • Own features and system improvements from problem definition through production, • Design and build backend services, APIs, data processing workflows, integrations, and product-facing capabilities, • Work with product managers, designers, security researchers, and engineers to turn customer needs into shipped software, • Improve the performance, reliability, scalability, and observability of existing systems, • Make practical technical decisions and explain the tradeoffs clearly, • Help raise engineering standards through code reviews, design discussions, mentoring, and documentation, • Debug production issues and help teams get to durable fixes, not just short-term patches, • Use AI-powered tools effectively while maintaining high standards for correctness, security, and maintainabilityWhat's in It for You, • Direct impact on a core security product used by enterprises worldwide, • Variety across backend engineering, data pipelines, SaaS integrations, detection systems, cloud infrastructure, and customer-facing workflows, • A chance to work on current security problems around SaaS, identity, data movement, and AI usage, • Strong peers across product, engineering, security research, and go-to-market teams, • A fast-moving environment where senior engineers are expected to own problems, influence direction, and shipRequired Skills & Experience, • 5+ years of experience in a software engineering role, • Strong proficiency in one or more modern programming languages such as Python, Go, TypeScript, or SQL, • Experience designing and building backend services, APIs, distributed systems, data processing workflows, or production product features, • Strong understanding of relational databases such as Postgres, • Experience with cloud platforms such as AWS or GCP, • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes, • Experience with event-driven or streaming systems such as Kafka, Redis, or similar technologies, • Ability to reason about system design, performance, reliability, security, and operational tradeoffs, • Experience leading technical work across a team without needing formal authority, • Strong communication skills in code reviews, design discussions, and cross-functional planningDesirable Experience, • Experience with observability and monitoring tools such as Grafana, Prometheus, or similar platforms, • Experience with CI/CD pipelines and deployment tooling such as GitLab CI/CD, • Exposure to large-scale distributed systems, high-throughput ingestion, or data pipeline architecture, • Background or interest in security, SaaS platforms, identity, threat detection, or data protection, • Experience working across multiple engineering teams or across geographically distributed teams, • Experience mentoring engineers and helping teams improve technical practices, • Experience evaluating AI-generated code and using AI tools as part of an engineering workflowAI Skills & AI-Native Engineering Expectations As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to improve development efficiency and build AI-ready systems. AI Engineering Capabilities • Leverage AI tools effectively to improve development efficiency and build AI-ready systems, • Critically evaluate, test, and refine AI-generated outputs before they reach production, • Understand core AI/ML concepts such as LLMs, embeddings, vector databases, inference, and evaluation, • Experience integrating AI/ML APIs or building systems that support AI-driven product workflows is a plus, • Ensure quality, observability, reliability, security, and performance in systems that use or support AI capabilities Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy: • Competitive compensation with equity and 401k, • Comprehensive healthcare with dental and vision coverage, • Flexible paid time off and paid holiday time off, • 12 weeks of new parent or family leave, • Personal and professional development resources For more details on our US benefits, or for information on our international benefits, please see here. Pay Transparancy Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company. At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com Information collected and processed as part of any job applications you choose to submit is subject to Obsidian's Applicant Privacy Policy. Base Salary Range$169,000—$192,000 USD

Backend Java Developer – Ecommerce Platforms.We're hiring a Backend Java Developer to support enterprise ecommerce systems within a high-volume transactional environment.This role is heavily focused on backend commerce functionality including APIs, catalog management, pricing, checkout flows, orde

Our client is a leading entertainment services provider headquartered near Hackensack, NJ.They have a high performing and cohesive development team and are looking to add an experienced engineer with 5-7 years of Java experience, along with strong SQL.Our client is unable to consider anyone that req

Our client is a leading entertainment services provider headquartered near Hackensack, NJ.They have a high performing and cohesive development team and are looking to add an experienced engineer with 5-7 years of Java experience, along with strong SQL.Our client is unable to consider anyone that req

Design, code, test, and analyze scripting languages (Python), PHP7 software programs, and MySQL/NoSQL databases.Researching, designing, documenting, and modifying software specifications throughout the production lifecycle.Scripting server configurations on etwork IP devices.Developing scripts to lo