Senior Software Development Engineer -Meshing Expert-Parallel & Adaptive Meshing

We are developing next-generation AI platforms that fuse finance and learning — built to deliver real execution and measurable results for businesses and professionals. We’re seeking visionary technical builders to join as Co-Founders / Founding Engineers at the pre-launch stage. This is not a traditional job — it’s an opportunity to shape a first-of-its-kind startup from the ground up. We’re especially interested in entrepreneurial talent with expertise in: • AI/ML Engineering • Full-Stack Development • Cloud Architecture • UI/UX Design Compensation: Equity-based founding role (with flexibility to discuss minimal salary support if needed). To apply: Please reply with a short note on your background, your key technical skills (e.g., AI/ML, full-stack, cloud, UX/UI), and attach your resume/CV. Selected applicants will then receive more details, including company information and a formal application link.

Platform Engineer - AI Tool & Integration Position Overview: The Data Analytics & AI department at RCG is seeking a highly skilled and experienced Software & Platform Engineer to join our team. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. The successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business. Key Responsibilities: • Design, develop, and maintain tooling and integration for GenAI LLM and other AI models. • Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI. • Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities. • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation. • Develop and implement best practices for AI model deployment & scaling. • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms. • Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements. • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies. • Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement. • Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team. • Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team. • Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies. Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • Proven experience in software/system/platform engineering, with a focus on AI tooling and integration. • Strong expertise in working with Azure, including managing and integrating AI services such as OpenAI and Databricks Mosaic AI. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Solid understanding of software development methodologies, including Agile and DevOps practices and tools for continuous integration and deployment. • Understanding of data security best practices and compliance requirements in software development and integration • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills. Preferred Qualification: • Strong proficiency in one or more programming languages such as Python, Java, C#, or JavaScript. • Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar. • Hands-on experience with Databricks for data engineering, data science, or machine learning workflows. • Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with Microsoft CoPilot and CoPilot Studio. • Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services. • Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB). • Knowledge of natural language processing (NLP) and large language models (LLMs). • Previous experience in a similar role within a technology-driven organization. • Certifications in Azure, AI, or related areas.

Position: Financial Manager Department: Finance Reports to: CEO Position Summary: We are seeking a highly skilled and experienced Financial Manager to oversee the critical financial operations of our company. The ideal candidate will be responsible for financial planning, risk management, and financial reporting. This role requires a strategic thinker with strong leadership capabilities who can provide insightful analysis to support executive decision-making and drive the company's financial health and sustainable growth. Key Responsibilities: Financial Planning & Analysis (FP&A): Lead the annual budgeting and quarterly forecasting processes. Develop financial models to analyze performance, evaluate potential investments, and support strategic initiatives. Provide accurate and timely financial reports, variance analysis, and actionable insights to senior management. Monitor key performance indicators (KPIs) and track financial performance against budgets and forecasts. Financial Reporting & Compliance: Oversee the preparation of monthly, quarterly, and annual financial statements in accordance with GAAP/IFRS. Ensure all financial reporting deadlines are met consistently. Coordinate and manage the annual audit process with external auditors. Ensure compliance with all local, state, and federal regulatory requirements and tax filings. Cash Flow & Treasury Management: Manage company cash flow planning and ensure availability of funds as needed. Oversee banking relationships and manage credit facilities. Implement effective working capital management strategies for accounts receivable, accounts payable, and inventory. Qualifications and Requirements: Bachelor’s degree in Finance, Accounting, Economics, or a related field. An MBA or professional certification (e.g., CPA, CMA, CFA) is highly preferred. Proven experience (typically 7+ years) in a finance management role or similar senior finance position. Thorough knowledge of corporate financial law, accounting principles, and risk management practices. In-depth experience with financial planning, modeling, and analysis. Strong proficiency in accounting software (e.g., SAP, Oracle, NetSuite) and advanced Microsoft Excel skills. Excellent leadership, communication, and interpersonal skills, with the ability to present complex financial information in a clear and concise manner. Demonstrated ability to work strategically and collaboratively across departments.

About Us Domalytx is reimagining the future of home inspections by combining deep field expertise with cutting-edge technology. Founded and built by civil engineers with over 15 years and 5,000+ inspections under their belt, we know the real problems inspectors face and the level of accuracy homeowners and buyers demand. Headquartered in Silicon Valley, we bring a technology-first mindset to an industry that has long lagged behind in innovation. Our platform transforms inspections from a slow, manual process into a streamlined, AI-assisted experience where inspectors can simply walk, talk, and capture photos while the software generates clear, professional reports. Backed by our leadership in foundation, structural, seismic, and drainage inspections—the most complex and high-stakes areas in residential real estate—we are uniquely positioned to become the trusted standard for property condition reporting nationwide. Joining Domalytx means being part of a team that’s not just modernizing inspections, but building the platform that will define how homes are evaluated, bought, and maintained for decades to come. The Role We’re looking for an Industry Partnerships & Data Acquisition Lead to help us grow the network of professionals contributing to our platform. You won’t do this alone. You’ll be partnered with an industry veteran (engineer/inspector) who can jump in for credibility, sit in on Zoom calls, or join in-person meetings when technical authority is needed. You’ll drive the outreach and relationship-building; they’ll provide subject matter expertise when needed. This isn’t a traditional sales or data role. It’s part relationship-building, part process design, and part entrepreneurial hustle. You’ll be helping invent a new category. What You’ll Do • Focus on building trust to foster participation from our leads • Oversee the process of capturing and structuring data. • Partner with our industry expert for select calls and meetings to deepen credibility. • Document and improve our strategies for relationship building. • Track progress and report on what’s working and where to adjust. What We’re Looking For • Proven success in sales, partnerships, business development, or community engagement (bonus if with contractors, SMBs, or real estate pros). • Natural relationship-builder with strong communication skills. • High resilience — able to handle pushback and keep going. • Process-oriented: can turn messy lessons learned into repeatable systems. • Comfortable with CRM tools, spreadsheets, and documenting workflows. • Curious and adaptable — able to learn the basics of industry language quickly. • Entrepreneurial mindset: thrives in ambiguity and likes building from scratch. What We Offer • The chance to pioneer a role in a massive, untapped industry. • Direct mentorship from founders and collaboration with industry experts. • An industry partner at your side for credibility and support. • Competitive compensation with upside as we grow. • Remote flexibility, with occasional in-person visits depending on geography. • A mission-driven company improving how millions of homeowners make decisions. Why Join Now? No one in this industry has done this before. You won’t be plugging into a machine — you’ll help design it. If you want to be the first of your kind in a growing startup, and if you’ve got the hustle and curiosity to make it work, we’d love to hear from you. How to Apply Send us your LinkedIn profile, resume, a note about why this role excites you and share an example of a time when you had to hustle to convince someone or build a relationship from scratch. Thanks!

Infrastructure Automation & Management:   Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services. Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams. CI/CD Pipeline Management: Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments. Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools like Jenkins Ensure pipelines are optimized for faster build, test, and deployment cycles. Monitoring & Incident Management: Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace). Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime. Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.   Security & Compliance:   Implement security best practices for cloud infrastructure, including identity and access management (IAM), encryption, and network security. Ensure GCP environments comply with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS. Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks. Collaboration & Support: Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP. Work closely with cloud architects to provide input on cloud design and best practices for continuous integration, testing, and deployment. Provide day-to-day support for development, QA, and production environments, ensuring availability and stability. Cost Optimization: Monitor and optimize cloud costs by analyzing resource utilization and recommending cost-saving measures such as right-sizing instances, using preemptible VMs, or implementing auto-scaling.   Tooling & Scripting: Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations. Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations. Required Qualifications & Skills: Experience: 3+ years of experience as a DevOps Engineer or Cloud Engineer, with hands-on experience in managing cloud infrastructure. Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others. Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.   Technical Skills: Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or GCP Cloud Build). Proficiency in scripting and automation using Python, Bash, or similar languages. Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes. Familiarity with GCP networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver). Cloud & DevOps Tools: Experience with Git for version control and collaboration. Familiarity with GCP-native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization. Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.   Security & Compliance: Knowledge of security best practices for cloud environments, including IAM, network security, and data encryption. Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI). Soft Skills: Strong problem-solving skills with the ability to work in a fast-paced environment. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Team-oriented mindset with the ability to work collaboratively with cross-functional teams. Certifications (Preferred): Google Professional Cloud DevOps Engineer certification (preferred). Other GCP certifications such as Google Professional Cloud Architect or Associate Cloud Engineer are a plus. DevOps certifications like Certified Kubernetes Administrator (CKA) or AWS/GCP DevOps certification are advantageous.

We are inviting motivated individuals who want to grow into careers in technology. If you want to learn coding, complete projects, and prepare for entry-level developer roles, this training path is for you. This is a remote program available part-time or full-time. With nearly 900 hours of guided lessons and project work, you’ll master modern languages, developer tools, and workflows—all while building a résumé and portfolio that will impress employers. 🖥️ Technology & Programming Fundamentals -Understand how computers, browsers, networks, and the internet operate -Study algorithms, number systems, data structures, and security basics -Practice Python scripting, command line operations, and logic design 💻 Web & Front-End Development -Develop websites with HTML5, CSS3, and Bootstrap -Build dynamic web content using JavaScript, jQuery, and React.js -Practice responsive design techniques and layout principles 🗄️ Back-End & Database Development -Design and maintain databases with SQL and SQL Server -Perform CRUD tasks and explore relational models -Build back-end systems using Python (Django) and C# (.NET Framework/Core) 🧑‍💻 Programming Languages & Tools -Learn C#, Python, JavaScript, HTML, CSS, SQL, and other languages -Use Git, GitHub, Visual Studio, and Team Foundation Server -Apply collaboration methods and version control systems 🧪 Capstone Projects -Complete two professional projects (Python + C#) -Build portfolio-ready applications with Agile, Scrum, and DevOps -Strengthen debugging, teamwork, and coding abilities 🧰 Career Preparation -Write résumés and cover letters tailored to tech careers -Practice technical and whiteboard interview preparation -Get ready for entry-level developer jobs 🚀 No experience necessary. Remote opportunities available. Take the next step in your professional journey. 👉 Apply now: https://softwaredevpros.online/