Data Engineer jobs at Mondo Media

Job Responsibilities: Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability.

Role : Sr. Azure Data Engineer with Databricks Expertise Exp : 12+ We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key Responsibilities: 1. Data Pipeline Development: • Build and maintain scalable ETL/ELT pipelines using Databricks. • Leverage PySpark/Spark and SQL to transform and process large datasets. • Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. 2. Collaboration & Analysis: • Work Closely with multiple teams to prepare data for dashboard and BI Tools. • Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions. 3. Performance & Optimization: • Optimize Databricks workloads for cost efficiency and performance. • Monitor and troubleshoot data pipelines to ensure reliability and accuracy. 4. Governance & Security: • Implement and manage data security, access controls and governance standards using Unity Catalog. • Ensure compliance with organizational and regulatory data policies. 5. Deployment: • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments. • Manage version control for Databricks artifacts and collaborate with team to maintain development best practices. Technical Skills: • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) • Proficiency in Azure Cloud Services. • Solid Understanding of Spark and PySpark for big data processing. • Experience in relational databases. • Knowledge on Databricks Asset Bundles and GitLab. Preferred Experience: • Familiarity with Databricks Runtimes and advanced configurations. • Knowledge of streaming frameworks like Spark Streaming. • Experience in developing real-time data solutions. Certifications: • Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

This role supports a financial services organization by applying advanced data science and machine learning techniques to solve complex business problems using large-scale datasets. The position focuses on end-to-end feature engineering, model development, and writing production-quality code in a fast-paced, collaborative environment. The individual partners closely with product and engineering teams to uncover trends, improve algorithm performance, and drive data-informed decisions. Key Responsibilities Independently analyze and aggregate large, complex datasets to identify anomalies that affect model and algorithm performance Own the full lifecycle of feature engineering, including ideation, development, validation, and selection Develop and maintain production-quality code in a fast-paced, agile environment Solve challenging analytical problems using extremely large (terabyte-scale) datasets Evaluate and apply a range of machine learning techniques to determine the most effective approach for business use cases Collaborate closely with product and engineering partners to identify trends, opportunities, and data-driven solutions Communicate insights, results, and model performance clearly through visualizations and explanations tailored to non-technical stakeholders Adhere to established standards and practices to ensure the security, integrity, and confidentiality of systems and data Minimum Qualifications Bachelor's degree in Mathematics, Statistics, Computer Science, Operations Research, or a related field At least 4 years of professional experience in data science, analytics, engineering, or a closely related discipline Hands-on experience building data science pipelines and workflows using Python, R, or similar programming languages Strong SQL skills, including query development and performance tuning Experience working with large-scale, high-volume datasets (terabyte-scale) Practical experience applying a variety of machine learning methods and understanding the parameters that impact model performance Familiarity with common machine learning libraries (e.g., scikit-learn, Spark ML, or similar) Experience with data visualization tools and techniques Ability to write clean, maintainable, and production-ready code Strong interest in rapid prototyping, experimentation, and proof-of-concept development Proven ability to communicate complex analytical findings to non-technical audiences Ability to meet standard employment screening requirements

A Data Scientist supporting AI/ML and LLM-driven solutions to build, deploy, and optimize advanced models for operational decision-making. Day-to-Day Responsibilities: Design, train, and fine-tune machine learning, deep learning, and LLM models Collect, process, and analyze structured/unstructured datasets Engineer features to improve predictive model performance Develop NLP and LLM-based applications (prompt engineering, fine-tuning, inference) Deploy and monitor ML models using MLOps best practices Build dashboards and presentations to communicate insights Collaborate with stakeholders to translate data insights into business strategy Requirements: Must-Haves: Snowflake, SQL, Palantir (or similar operational AI decision platform) Strong AI/ML and LLM foundation Experience with NLP, deep learning, and predictive modeling Python proficiency and experience with PyTorch, TensorFlow, Hugging Face Strong SQL and data engineering skills AWS experience (SageMaker, S3, Redshift) and ML pipeline automation Nice-to-Haves: Graduate degree in a quantitative field Experience with Power BI, Dash, or Streamlit Benefits: This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Role :: Senior AWS Devops Engineer Type: Full-Time or 12 Month Contract Work Authorization: U.S. Citizens or local GC candidates only Job Description Client is seeking an experienced Senior AWS Engineer with a strong AWS background to support our federal clients. The ideal candidate will have proven expertise in designing, developing, and implementing automated DevOps pipelines to enable high-performing, secure, and scalable software solutions. This role requires hands-on technical expertise, infrastructure automation skills, and the ability to collaborate with cross-functional teams to deliver enterprise-grade DevOps capabilities. Key Responsibilities: · Automate the provisioning of AWS environments and build infrastructure from the ground up using Terraform. · Design and develop automation workflows; perform unit testing and conduct code reviews to ensure quality, performance, and resiliency. · Develop automation tools, CI/CD pipelines, scripts, and self-service capabilities to support platform operations. · Provide technical direction and mentorship to a team of engineers on pipeline management, automation, and development best practices. · Collaborate with stakeholders, leadership, vendors, and other engineering teams to communicate technical solutions and solve complex business challenges. Key Qualifications: · Bachelor's degree with 8+ years of experience in software development. · At least 7 years of experience in DevOps or DevSecOps engineering. · At least 7 years of in-depth AWS/Cloud Operations experience. · Strong expertise in AWS cloud-based build/deployment pipelines, Infrastructure-as-Code, Kubernetes/platform engineering, Jenkins, Python, Terraform, Docker. · Expert-level knowledge of AWS services including Lambda, Glue, and Step Functions. · Hands-on experience with Kubernetes, Docker, and cloud deployment technologies. · Strong background in Infrastructure as Code (Terraform, CloudFormation). · Experience working in an Enterprise/Shared Service DevOps team.

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

Must perform web services developer functions to plan, develop, test, and document computer programs, applying knowledge of programming techniques and computer systems. Evaluate the user requests for new or modified programs, analyzes and develops specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with users to identify current operating procedures and clarify program objectives. Formulates plans outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development. Need to have eight or more years of experience; relies on experience and judgment to plan and accomplish goals; independently performs a variety of complicated tasks; and may lead and direct the work of others. Required: Analysis and development experience in complete software development life cycle, including designing, developing, testing, integrating and deploying applications. Experience in SQL programming and object-oriented (i.e., OOD) analysis and design. Experience with JAVA and J2EE technologies, and interactions with relational databases. Experience with Web Services, RAD, and WebSphere. Ability to create, read and understand Oracle-based stored procedures or a relational database application. Experience with system integration testing to apply knowledge of programming techniques and computer systems. Experience facilitating interpersonal interactions involving design, development, testing, peer reviews, and implementation activities including developers, business analysts, development and QA teams while ensuring that system requirements are documented Experience developing systems test plans, test scenarios, test processes and schedules. Experience designing and coordinating defect reporting and validating defect fixes. Understanding of data structures, data migration/conversion/transformation and concepts of both relational and multi-dimensional database design. Evaluates user requests for new or modified program analyzing and developing specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with user to identify current operating procedures and clarify program objectives. Formulates plan outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development.