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Coach and develop skills in modern architecture and engineering practices, related to microservices, cloud-native design, containers, AI/ML/GenAI, DevSecOps, and deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches.. NET Core, Golang, SQL/NoSQL, unit testing frameworks with 8+ years' experience in architecting enterprise solutions on modern technology stacks.. 8+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.. 5+ years of hands-on experience with Azure cloud-native services specifically (e.g., API Management, Event Hub, Service Bus, Functions, Service Mash, Logic Apps, AKS, Batch, Istio, Archive Storage, Data Lakes, Synapse, SQL, Redis, CosmosDB, DocumentDB, PowerBI, Key Vault, Application Insights, etc.. Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.
Design and implement cloud-based integration patterns using tools such as MuleSoft, Kafka, Azure integration Services. Proficient in cloud platforms (Azure, AWS, or GCP), especially with managed integration services (e.g., Azure Functions, Logic Apps, API Management, Event Grid). nCino development experience. Integration experience with Salesforce/nCino, batch integrations, data load. Salesforce/nCino test automation
Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Cross Functional Collaboration: Lead projects that require collaborating with engineering, cloud support, site reliability, and product teams to assess tools, frameworks, and solutions that align with both customer and operational needs. Technical Proficiency: Strong fundamentals in microservices and infrastructure technologies like Docker, Kubernetes, Terraform, and CI/CD systems. Customer-Centric Mindset: A passion for creating intuitive, high-quality solutions that directly impact customer success and satisfaction. Professional Experience: 1-3 years of software development experience, including programming with modern compiled languages such as Go, Rust, Java, or C
We're a customer-centric group that encompasses engineering, product, product design and data, security and business systems.. The Runtime Platform team is the heartbeat of our operations-focusing on robust release engineering, rigorous quality assurance, and strict adherence to FedRAMP standards.. As a Senior Software Engineer on the Software Delivery team, you'll partner with a talented group of engineers to ensure our CI/CD and supply chain platform's operational excellence and regulatory compliance.. Leverage our tech stack: Primarily Ruby/Rails/Postgres hosted on AWS and increasingly using Kubernetes, and languages such as Java and Typescript.. 5+ years experience in software engineering fundamentals, Test Driven Development and Design principles (Ruby on Rails, Python, Rust, Go or similar languages preferred)
We are building next-generation distributed systems that combine traditional backend engineering with modern AI capabilities.. B.S. or M.S. in Computer Science or related field from a top-tier university. Strong proficiency in multiple programming languages (Go, Rust, Java, Python). Experience with cloud platforms (AWS, GCP, Azure). ACM-ICPC Regional or World Finals medalist
Build integrations with external systems using common integration patterns and tools (e.g., RESTful APIs, message queues like Kafka, ETL tools like Apache NiFi).. 5+ years of hands-on Python development experience using pandas, SQLAlchemy, and Django.. Professional experience in core AWS services and architecture supporting data processing systems (e.g., S3, Redshift, Lambda).. Strong knowledge of open-source libraries for data processing like Airflow.. Familiarity with containers and microservice architectures (e.g., Docker, Kubernetes).
Collaborate closely product managers, UX/UI designers, and backend engineers to deliver seamless user experience. 8+ years in JavaScript (ES6+), HTML5, SCSS, and modern styling techniques.. 2+ years of experience in TypeScript.. 4+ years of hands-on experience in Core Java, Spring Framework, Spring Boot.. Knowledge of accessibility standards (WCAG) and responsive design principles
Demonstrated knowledge of R, Python, Java, and/or Ruby programming languages.. Demonstrated grant-writing and/or corporate social responsibility fundraising success.. Demonstrated proficiency with user experience design and software development frameworks.. Criminal Background Check, Sex Offender Registry.. Background checks include a criminal background check and a sex offender registry check.
Support and troubleshoot issues with existing systems, including incident response.. Familiarity with scripting and programming languages, specifically Typescript/Javascript, NodeJS, and Python.. Experience in financial technology (FinTech).. Familiarity with AWS cloud services, specifically: RDS/Aurora, S3, OpenSearch, ElastiCache, ALBs, Lambda, Kinesis, DynamoDB. Experience with Typescript/NodeJS
We are seeking a highly motivated and skilled Software Engineer to join our dynamic team. The ideal candidate will have a solid foundation in computer science, experience with various programming languages and frameworks, and a proven track record of building scalable and reliable software systems. Proficiency in at least one programming language such as Java, Python, or C. Experience with software development methodologies such as Agile or Scrum. Experience with relational databases such as MySQL or PostgreSQL.
Develop cloud-native architectures tailored for AWS, Azure, Google Cloud, and hybrid environments.. Engineering & Operational ExcellenceChampion the adoption of DevSecOps best practices, ensuring automation across the software development lifecycle (SDLC), including CI / CD pipelines, testing, monitoring, and deployment.. Promote infrastructure as code (IaC) practices using Terraform, Ansible, and CloudFormation for scalable and repeatable deployments.. Deep understanding of microservices architecture, APIs, and event-driven systemsExtensive experience with cloud-native development and container orchestration (Docker, Kubernetes, ECS, AKS, EKS).. Proficiency in DevSecOps automation, CI / CD pipeline implementation, and Infrastructure as Code. Proficiency with data pipelines, data integration, ETL processes, data governance principles, and data security best practicesProficiency in SQL / NoSQL database technologies and data warehousing solutions.
Our client is a rapidly growing AI-driven FinTech company that is transforming the financial services landscape with cutting-edge technologies.. Stay up to date with the latest trends and technologies in AI, FinTech, and software engineering, driving innovation.. Experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).. Competitive salary and equity compensation.
BS in Computer Science, Biomedical Engineering, Machine Vision, or related field with 10+ years of industry experience in medical image processing applications OR. Master’s Degree in Computer Science, Biomedical Engineering, Machine Vision, or related field with 7+ years of industry experience in medical image processing applications OR. Ph. D. in Computer Science, Biomedical Engineering, Machine Vision, or related field with 5+ experience in medical image processing applications. Proficiency in engineering DevOps tools such as JIRA, Github, Jenkins, AWS, etc.. Experience with DICOM and HL7 standards.
Carta’s world-class fund administration platform supports nearly 7,000 funds and SPVs, and represents nearly $130B in assets under management in venture capital and private equity. As Carta expands beyond Venture Capital and into Private Equity, as a Senior Software Engineer we’ll need you to help define requirements and build solutions for products that bridge the gap for our Private Equity clients. You have experience working with complex SaaS products with Service Oriented Architecture (SOA) and microservices.. You are passionate about some elements of our tech stack (ReactJS, Java, Python, Datadog, REST / GRPC, Kafka, K8s, AWS).. Carta follows a standard tech startup interview process, where you will meet with a recruiter and hiring manager first.
Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS. Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas.. You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
Build and maintain data pipelines that centralize and store security-relevant data from diverse sources. Contribute to data engineering in support of forensic investigations and compliance efforts. Strong software engineering experience, with proficiency in programming languages such as Python, Golang, or similar. A background in infrastructure as code, with experience using tools like Terraform and working with cloud platforms such as Azure. A generalist engineering mindset, with the flexibility to pivot between various technical domains such as databases, site reliability engineering (SRE), or security.
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). data structures, data mining, artificial intelligence). Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python.. statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
Immediate long-term contract opportunity for Salesforce Architect with direct client in Trenton, NJ.. Optimize tooling (e.g., Salesforce DX, Copado, Gearset, Azure DevOps, Jenkins, GitLab CI/CD).. Implement effective hybrid Agile/Scrum methodologies, project management, and planning practices.. Deep expertise in Apex, Visualforce, Lightning Web Components (LWC), Aura Components, and Salesforce APIs.. Salesforce Architect certifications (e.g., Application Architect, System Architect, Technical Architect) are highly preferred.
This is a hybrid position that requires in office presence two days a week in Chicago.. Proficiency in event streaming systems like Kafka for real-time processing.. Experience with CI/CD pipelines and containerized environments (e.g., Docker, Kubernetes).. Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants). Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays.
Design, implement, and champion mature Salesforce DevOps practices.. Optimize tooling (e.g., Salesforce DX, Copado, Gearset, Azure DevOps, Jenkins, GitLab CI/CD).. Implement effective hybrid Agile/Scrum methodologies, project management, and planning practices.. Deep expertise in Apex, Visualforce, Lightning Web Components (LWC), Aura Components, and Salesforce APIs.. Salesforce Architect certifications (e.g., Application Architect, System Architect, Technical Architect) are highly preferred.