Elite Applications Engineer

Commify is on a mission to revolutionize business communications, and we are looking for an experienced Senior Software Engineer to join our passionate team. In this role, you will lead the development and enhancement of our cutting-edge messaging platform, ensuring it meets the evolving needs of businesses around the world. Your expertise will help shape our product vision, drive innovation, and create exceptional user experiences. As a Senior Software Engineer, you will collaborate closely with product managers, designers, and fellow engineers to deliver high-quality software solutions. We value creativity, critical thinking, and a proactive approach to problem-solving. If you have a strong technical background and want to work in a fast-paced environment, Commify is the perfect place for you. Requirements The Senior Software Engineer will:: Architect, design, develop, and deploy software solutions across our products. Engage in all phases of the software development lifecycle in an agile environment. Collaborate with cross functional teams to refine requirements into actionable tasks. Contribute to continuous improvement initiatives within the engineering team. Mentor junior developers and support overall team growth and learning. Drive adherence to best practices and coding standards. Ideal candidates will possess: Extensive experience in software development with modern programming languages. Strong foundation in C# .NET/.NET Core and Angular. Experience running production systems at scale in Microsoft Azure. Experience with CI/CD pipelines, Dev/Ops methodologies, and test automation. Experience with containerization technologies, such as Docker and Kubernetes Proven experience designing and building REST APIs. Experience with version control systems, especially GitHub. Understanding of agile methodologies and practices. Exposure to micro-SPA frontend application architecture. Excellent problem solving skills and attention to detail. Team oriented mindset with strong communication abilities. Ability to manage multiple priorities and meet deadlines. Preferred Qualifications: Experience in building and scaling multi-channel CPaaS/messaging platforms (SMS, MMS, RCS, WhatsApp, Voice, and Email). Experience working in a diverse, international team. Benefits Competitive Salary ($120,000 - 135,000) Company Bonus Enjoy the flexibility of remote work, complemented by regular off-site meetings scheduled in collaboration with your line manager. Healthcare & Dental. 20 days annual leave plus national holidays. Birthday off work, Wellbeing leave & Giving back days. Free access for you and your family to Calm, a mindfulness, health, and wellbeing App. 401k 4% employer contribution. Death in service (4x salary). Culture initiatives (Including Christmas rewards & monthly/quarterly social events). Training & Development opportunities with access to unlimited learning via Udemy.  

Commify is on a mission to revolutionize business communications, and we are looking for an experienced Senior Software Engineer to join our passionate team. In this role, you will lead the development and enhancement of our cutting-edge messaging platform, ensuring it meets the evolving needs of businesses around the world. Your expertise will help shape our product vision, drive innovation, and create exceptional user experiences. As a Senior Software Engineer, you will collaborate closely with product managers, designers, and fellow engineers to deliver high-quality software solutions. We value creativity, critical thinking, and a proactive approach to problem-solving. If you have a strong technical background and want to work in a fast-paced environment, Commify is the perfect place for you. Requirements The Senior Software Engineer will:: Architect, design, develop, and deploy software solutions across our products. Engage in all phases of the software development lifecycle in an agile environment. Collaborate with cross functional teams to refine requirements into actionable tasks. Contribute to continuous improvement initiatives within the engineering team. Mentor junior developers and support overall team growth and learning. Drive adherence to best practices and coding standards. Ideal candidates will possess: Extensive experience in software development with modern programming languages. Strong foundation in C# .NET/.NET Core and Angular. Experience running production systems at scale in Microsoft Azure. Experience with CI/CD pipelines, Dev/Ops methodologies, and test automation. Experience with containerization technologies, such as Docker and Kubernetes Proven experience designing and building REST APIs. Experience with version control systems, especially GitHub. Understanding of agile methodologies and practices. Exposure to micro-SPA frontend application architecture. Excellent problem solving skills and attention to detail. Team oriented mindset with strong communication abilities. Ability to manage multiple priorities and meet deadlines. Preferred Qualifications: Experience in building and scaling multi-channel CPaaS/messaging platforms (SMS, MMS, RCS, WhatsApp, Voice, and Email). Experience working in a diverse, international team. Benefits Competitive Salary ($120,000 - 135,000) Company Bonus Enjoy the flexibility of remote work, complemented by regular off-site meetings scheduled in collaboration with your line manager. Healthcare & Dental. 20 days annual leave plus national holidays. Birthday off work, Wellbeing leave & Giving back days. Free access for you and your family to Calm, a mindfulness, health, and wellbeing App. 401k 4% employer contribution. Death in service (4x salary). Culture initiatives (Including Christmas rewards & monthly/quarterly social events). Training & Development opportunities with access to unlimited learning via Udemy.  

Job Summary A Principal Software Engineer for Node is an associate at Creative Chaos who is mainly responsible for developing server applications of various software platforms including but not limited to writing Restful APIs to be consumed by client applications. A principal software engineer makes sure that the functionality, security and performance of the server application is as per the design and is completely bug free. Principal engineers have a responsibility to lead a team of engineers, mentor team members through continuous training and guidance. Duties & Responsibilities Lead a team of software engineers Mentor team members through training and guidance Analyze business requirements Estimate assigned tasks Write code and unit tests Collaborate with other team members Tune your code for enhanced security and performance Maintain systems by fixing any existing issues Update issue tracking software Provide status updates Communicate with client Control versions of your code Research new technologies Upgrade skills and knowledge Evaluate candidates for open positions Requirements Minimum Bachelors in Computer Science/Software Engineering or equivalent. Minimum 6-8 years of related experience in professional industry Strong communication skills Strong proficiency in Javascript technologies Knowledge of NodeJS and its available frameworks such as ExpressJS and NestJS Knowledge and experience in writing backend components and Restful APIs Understanding of accessibility standards and security compliances Working knowledge of Typescript, Azure functions, YAML, Terraform is preferred. Experience with different relational and schemaless databases such as MySQL, PostgreSQL and MongoDB Creating database structure for the required functionality Experience with writing unit tests and ensuring the minimum 90% test coverage Knowledge of and experience with Github, JIRA and other collaboration tools Understanding of security standards and compliances Basic understanding of front-end technologies. Flexible attitude and versatile personality Strong presentation skills Strong influence among team members

Must be located in NYC (we are in office Monday - Thursday). Please apply by emailing recruiting@shoponpickle.com with “Senior Data Engineer” in the subject line and include the following: Share 1-3 (max) bullets on why you think you’re a standout applicant for this role. Share 1-2 (max) bullets summarizing an initiative you’re most proud of and the impact it drove (we love metrics!) Please attach your resume Pickle is a rental marketplace that aims to monetize the billions of underutilized assets sitting in consumers closets and brands inventory. Users can easily tap into shared closets within their community through flexible and/or on-demand delivery options. Our goal is to provide affordable and convenient access to quality items exactly when our users need them. We are starting with P2P clothing/accessories and expanding to other categories. Role Overview: As our first dedicated Senior Data Engineer, you will architect and scale the data hub that fuels every insight, experiment, and decision across the company. You’ll own the full lifecycle of our data platform—from ingestion and modeling to governance and observability—while partnering closely with Product, Growth, and Engineering to unlock self-serve analytics and advanced use cases. Requirements 6 + years of professional data-engineering experience, designing and running production-grade ELT/ETL pipelines Deep expertise with Snowflake or similar tool (warehouse design, performance tuning, security, and cost management) Strong SQL plus proficiency in Python (or TypeScript/Node.js) for data transformation and orchestration Hands-on experience with modern data-stack tooling (e.g., dbt, Airflow/Prefect, Fivetran/Hevo, Kafka/Kinesis) Solid grasp of data-governance concepts (catalogs, lineage, quality testing, RBAC, PII handling) Cloud infrastructure skills—AWS preferred (S3, ECS/Lambda, IAM, Secrets Manager, CloudWatch) Proven track record of setting up data infrastructure and analytics processes from the ground up in a high-growth or startup environment Excellent communication skills and the ability to translate business questions into scalable datasets and metrics Bonus: experience supporting experimentation frameworks, real-time/event-driven pipelines, or ML feature stores Key Responsibilities Own the data platform roadmap: design, build, and scale the pipelines and orchestration that feed Pickle’s central data hub Stand up analytics infrastructure: establish best-practice processes for data modeling, testing, CI/CD, and observability to ensure reliable, timely data Implement and Optimize Snowflake (or similar tool): tune performance, manage costs, and leverage advanced features (e.g., zero-copy clones, data sharing) Champion data governance & security: implement standards for documentation, data quality, lineage, and access control Enable self-service analytics: partner with analysts and stakeholders to expose trusted datasets and metrics in BI tools and experimentation platforms Collaborate across functions: work with Product, Growth, Operations, and Engineering to translate business requirements into data assets that drive conversion, retention, and liquidity Mentor and elevate the team: share best practices, review code, and influence architecture and tooling decisions as we scale Measure and monitor: define SLAs/SLOs for data freshness and accuracy; set up dashboards and alerts to maintain platform health Benefits Competitive compensation and equity Healthcare (Medical, Dental, Vision) Take what you need paid time off Meal Pal credits to cover the cost of lunch Stipend to help set up your desk and office environment Work directly with the founders and executive team Professional coaching, training, and development Grow with the company Pickle credits for our employees, we love when the team uses Pickle! Fun team events and company parties Company offsites Office space in NYC

Must lead team on site and offshore – 5+ years Must be able to communicate and provide status to client directors Strong ABAP on HANA with UI5 and Fiori Around 20 + years of experience Expertise on CDS, OData, and RAP Leadership qualities coordinating with offshore team Data migration with ETL tools - preferred but not mandatory ============================= ======================================== Must lead team on site and offshore – 5+ years Must be able to communicate and provide status to client directors Strong ABAP on HANA with UI5 and Fiori Around 20 + years of experience Expertise on CDS, OData, and RAP Leadership qualities coordinating with offshore team Data migration with ETL tools - preferred but not mandatory ============================= ========================================

At TWG Group Holdings, LLC (‘TWG Global’), we are at the cutting edge of innovation and business transformation, leveraging data and AI to manage a diverse portfolio that spans Investments, Securities, Insurance, Finance, Corporate Lending, Merchant Banking, as well as Sports, Media, and Entertainment. Data is one of our most valuable assets, and our commitment to AI allows us to transform that data into a powerful competitive advantage. We are pioneering a range of data and AI services that provide real-time intelligence to both our customers and workforce, enabling them to make informed decisions within interactive, cloud-native business applications.  As we evolve into an AI-first, model-driven, and cloud-native company, we prioritize responsible data and AI practices that protect our customers and workforce while ensuring compliance within a regulated environment. Our goal is to lead by example, acting with the highest standards of ethics, responsibility, and transparency. This commitment drives our development of cutting-edge AI/ML business applications across our diverse product and service offerings.  In this role, you will be at the heart of our data and analytics transformation, collaborating closely with management teams to achieve our strategic objectives and operational excellence. Our decentralized structure empowers each business unit to operate autonomously while benefiting from the strategic guidance and support of our central AI Solutions Group.  Through our pioneering partnerships with major data and AI vendors, you will have the opportunity to work on transformative projects that will revolutionize marketing, distribution, customer acquisition, and internal processes. These initiatives are designed to enhance productivity, reduce costs, and create high-demand products and services. The advanced data systems we develop will grant management unparalleled access to real-time performance data, enabling swift, informed decision-making and agile business adjustments.  Moreover, you will play a crucial role in leveraging our strategic relationships and equity positions in leading tech startups. These collaborations are not just about staying ahead of the competition—they are about creating true competitive advantages across our businesses. You will contribute to projects that are reshaping industries, from harnessing cloud-based supercomputing capabilities to driving key initiatives with major universities that are shaping the future of technology.  At TWG Global, your work will directly contribute to our ambitious goal of generating sustained growth and superior returns, with expected annual equity returns exceeding 20%, including growing dividends. Join us as we push the boundaries of technology and innovation, delivering significant value across our portfolio while making a profound impact on the industries we serve.  As a Senior Machine Learning Engineer, you’ll work alongside seasoned ML engineers and data scientists to design, build, and deploy machine learning systems that drive real business value. Reporting to the Executive Director of AI Science, you’ll gain hands-on experience contributing to production-ready AI applications, including predictive modeling, optimization, and monitoring tools used across the enterprise.  This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in machine learning, eager to deepen their technical expertise and grow within a dynamic AI team building at the frontier of applied ML.  Responsibilities:  Contribute to the development and deployment of ML models and pipelines across business-critical domains such as financial services and insurance.  Support productionization efforts, including model packaging, integration, deployment, and monitoring for model performance, drift, and reliability.  Conduct exploratory data analysis and feature engineering to support experimentation, prototyping, and model improvements.  Collaborate with senior engineers and data scientists to refine models and improve scalability, robustness, and accuracy.  Participate in building internal tools and infrastructure that enhance model training, testing, and monitoring workflows.  Clean, transform, and prepare datasets from diverse sources, ensuring data quality and consistency across ML pipelines.  Translate findings into clear, actionable insights, and communicate results effectively to technical and non-technical stakeholders.  Requirements 3+ years of experience building and deploying ML models in production environments, including hands-on experience with model monitoring and diagnostics.  Solid understanding of machine learning fundamentals, statistical methods, and data science workflows.  Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus.  Exposure to model lifecycle management tools (e.g., MLflow, Weights & Biases) and production monitoring systems (e.g., Prometheus, Grafana).  Proficiency in Python and familiarity with core ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).  Experience with data manipulation and analysis using tools like pandas, NumPy, and SQL.  Familiarity with data visualization tools (e.g., matplotlib, seaborn, Plotly) to support storytelling and analysis.  Excellent problem-solving skills, eagerness to learn, and comfort operating in fast-paced, evolving environments.  Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.  Strong written and verbal communication skills, with the ability to clearly explain technical concepts and results to diverse audiences.  Preferred Experience:  Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem.  Benefits Position Location  This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case-by-case basis.   Compensation The base pay for this position is $190,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.  TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.