Software Engineer
Glocomms is partnered with an innovative company that is revolutionizing the government contracting industry. We're actively seeking a highly skilled Senior Software Engineer with expertise in artificial intelligence and language learning models (AI/LLMs) to join their New York-based start-up tech team. This permanent role offers ambitious developers the opportunity to not only enhance their skill set but also contribute significantly toward streamlining federal proposal responses. Responsibilities: Incorporation of advanced AI-driven features into our software solutions, with a particular emphasis on leveraging LLMs to streamline the rapid creation of RFP responses. Delivering executional excellence by providing scalable solutions that enhance the customer experience, including optimizing current features and building new functions from the ground up. Qualifications: A solid foundation with over three years' worth of professional software engineering practice Proficiency across various platforms including AWS Government Cloud or Azure Government Cloud would stand out as valuable assets Proficiency in FastAPI, Python, React, Typescript, Next.js, and Kubernetes.
US$120000 - US$150000 per year
New York
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OpenStack Engineer
Job Title: Expert OpenStack Engineer Location: Madrid Industry: Banking Sector Project Duration: 12-month contract (extendable) Total Project Length: 3 years Remote work: 2 days on-site per week About the company Our client is a global leader in corporate and investment banking, operating in over 70 countries. They provide tailored financing, advisory, and capital market solutions to corporations, financial institutions, and investors. Committed to innovation and sustainability, the company drives green financing initiatives while fostering a collaborative, forward-thinking culture. Job description We are seeking three Expert OpenStack Engineers to join our team for a dynamic, long-term project. This is a unique opportunity to work on cutting-edge technologies within a global IT and cloud provider environment. One role will be based in Paris, and two roles will be based in Madrid, with a hybrid work model of 2 days onsite and 3 days remote per week. Responsibilities Infrastructure Management: Manage, optimise, and ensure the reliability of OpenStack Canonical infrastructures. Automation & Orchestration: Develop and maintain innovative scripts using Ansible, Python, and other tools to automate workflows and system operations. Inventory Oversight: Create and maintain accurate and efficient CNDB inventories, ensuring alignment with project needs. Monitoring: Implement and manage monitoring tools such as Prometheus to maintain system health and performance. Collaboration: Work closely with global teams across New York, Singapore, and Bangalore, ensuring smooth operations and consistent integration. Production Excellence: Participate in production tasks, actively troubleshoot, and improve processes to deliver top-tier system performance. Required Skills and Qualifications: Extensive experience with OpenStack Canonical. Advanced proficiency in Ansible, Python, and automation tools. Strong ability to develop and manage CNDB inventories. Expertise in monitoring systems, particularly Prometheus. Deep knowledge of regex and one-liner scripting techniques. Proven track record in system engineering and infrastructure optimisation. Previous exposure to international teams and environments is a plus. Soft Skills: A proactive mindset with the ability to identify and address issues creatively and effectively. Strong team player, adaptable to collaborate across various teams and time zones. Meticulous attention to detail and commitment to quality. Language: Proficiency in English is required. Knowledge of French is a plus but not mandatory.
Negotiable
Madrid
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Sr/Mid-Level Full Stack Software Engineer
**Sr/Mid-Level Full Stack Software Engineer - AI Insurtech Pioneer** Are you an innovative software engineer seeking to propel your career in a dynamic startup environment? We are on the hunt for experienced full-stack engineers passionate about leveraging technology to transform the insurance tech landscape. Join us and contribute your expertise in Java, Spring Boot, Angular, TypeScript - and if you've worked with Guidewire solutions before, even better! Responsibilities: - Collaborate across functions to design and develop impactful features - Construct robust services using Java & Spring frameworks - Create responsive UIs employing Angular & TypeScript - Integrate with Guidewire Cloud platform enhancing our architecture - Craft secure APIs ensuring seamless backend-to-front-end communication - Utilize AWS cloud services for application build-out and maintenance Key Skills Required: * **Java Proficiency:** Demonstrate strong experience crafting back-end systems. * **Spring Framework Expertise:** Show solid skills within various spring modules like Spring MVC or Spring Boot. * **Frontend Development:** Experience creating front ends with modern JavaScript frameworks - Angular knowledge preferred. * **Guidewire Exposure** Previous work integrating applications into Guidewire platforms will set applicants apart. Qualifications: - At least 5 years of full-stack experience - Frontend technologies such as Typescript/Angular - Proficiency with Java/Spring framework - Experience building and deploying on AWS platforms - Exposure to Guidewire Software and Gosu language - Built GraphQL APIs - Bonus points for CI/CD pipeline experience! Joining Our Team Means: Embarking on challenging projects where innovation isn't just encouraged - it's expected! You'll be part of a forward-thinking collective dedicated not only to growth but also pushing each other towards greater technical heights - all while making strides toward optimizing claim outcomes through augmented intelligence. Ready To Innovate? We welcome visionary engineers ready to put their mark on something transformative. If this mission excites you - apply now!
US$130000 - US$170000 per year
United States of America
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ML engineer | Large Scale AI Infrastructure
This position will sit within a company that is pioneering a new era of Biomedicine! Role Overview: GPU Cluster Management: Architect, deploy, and sustain high-performance GPU clusters, ensuring they are stable, reliable, and scalable. Oversee and manage cluster resources to maximize efficiency and utilization. Distributed/Parallel Training: Apply distributed computing techniques to facilitate parallel training of extensive deep learning models across multiple GPUs and nodes. Optimize data distribution and synchronization for faster convergence and reduced training times. Performance Optimization: Enhance GPU clusters and deep learning frameworks to achieve peak performance for specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis. Deep Learning Framework Integration: Work closely with data scientists and machine learning engineers to incorporate distributed training capabilities into the company's model development and deployment frameworks. Scalability and Resource Management: Ensure GPU clusters can scale effectively to meet growing computational demands. Develop strategies for resource management to prioritize and allocate computing resources based on project needs. Troubleshooting and Support: Diagnose and resolve issues related to GPU clusters, distributed training, and performance anomalies. Provide technical support to users and efficiently resolve technical challenges. Documentation: Develop and maintain documentation on GPU cluster configuration, distributed training workflows, and best practices to facilitate knowledge sharing and smooth onboarding of new team members. Qualifications: Master's or Ph.D. in computer science or a related field, with a focus on High-Performance Computing, Distributed Systems, or Deep Learning. Over 2 years of proven experience in managing GPU clusters, including installation, configuration, and optimization. Strong expertise in distributed deep learning and parallel training techniques. Proficiency in popular deep learning frameworks such as PyTorch, Megatron-LM, and DeepSpeed. Programming skills in Python and experience with GPU-accelerated libraries (e.g., CUDA, cuDNN). Knowledge of performance profiling and optimization tools for HPC and deep learning. Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes). Solid background in distributed systems, cloud computing (AWS, GCP), and containerization (Docker, Kubernetes). Currently or previously holding a Staff or equivalent title | Currently sitting within a Senior leveled title for 3+ years Does this capture what you were looking for?
US$250000.00 - US$350000.00 per year
Palo Alto
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Staff Machine Learning Engineer (Fully Remote)
Our client is seeking an experienced Staff Machine Learning Engineer. In this role, you will work on the development and optimization of machine learning models, with a particular focus on Knowledge Graphs, Graph Databases, and the integration of Large Language Models (LLMs). You will contribute to building next-generation systems that empower our data-driven products, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead the design, implementation, and optimization of machine learning models using graph-based approaches, with a focus on Knowledge Graphs and Graph Databases. Develop and apply advanced techniques in Natural Language Processing (NLP) and Large Language Models (LLMs) to enhance data-driven applications and decision-making processes. Collaborate with data engineers and software developers to integrate machine learning models into production systems, ensuring scalability and efficiency. Utilize graph theory and algorithms to solve complex problems in data representation, classification, recommendation, and reasoning. Conduct research and stay up-to-date on emerging technologies in machine learning, knowledge graphs, and language models to continuously improve the team's capabilities. Mentor junior engineers and provide technical leadership, fostering a collaborative and innovative engineering culture. Required Qualifications: Master's or Ph.D. in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience. 5+ years of professional experience in machine learning, data science, or a related field, with a focus on graph technologies and large-scale systems. Strong expertise in Knowledge Graphs, Graph Databases (e.g., Neo4j, Amazon Neptune, etc.), and related algorithms. Hands-on experience with Large Language Models (LLMs) such as GPT, BERT, or similar, and applying them to real-world problems. Proficiency in programming languages such as Python, Java, or Scala, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of distributed computing and data processing systems (e.g., Spark, Hadoop, Kubernetes). Excellent problem-solving, analytical, and debugging skills. Strong communication skills and the ability to work collaboratively in a fast-paced, team-oriented environment. Preferred Qualifications: Experience with deploying machine learning models into production environments, including cloud platforms such as AWS, Azure, or GCP. Familiarity with additional graph-based technologies, such as GraphQL or SPARQL. Research experience in NLP, graph theory, or other advanced machine learning techniques.
US$230000 - US$290000 per year
United States of America
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Salesforce FSL Consultant
We're seeking a skilled Salesforce Field Service Developer to join our dynamic team. In this role, you'll leverage your expertise in Salesforce Field Service Lightning (FSL) to design, implement, and optimize tailored industry-specific solutions. You'll work closely with cross-functional teams to deliver scalable, high-performing Salesforce solutions that meet business needs. Key Responsibilities: Develop and customize Salesforce Field Service Lightning solutions Collaborate with stakeholders to gather requirements. Integrate Salesforce with external systems and optimize platform performance. Ensure code quality, best practices, and adherence to Salesforce development standards. Provide technical support and contribute to continuous improvement initiatives. Qualifications: 2+ Previous Salesforce FSL implementation projects English (Italian preffered) Strong APEX development Skills Salesforce Integration utilising API's, REST/SOAP Salesforce Admin + Platform Developer 1 Cert. (FSL certification, nice to have) Previous Manufacturing project experience (nice to have)
Negotiable
Italy
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Engineering Manager - Machine Learning
Engineering Manager - Machine Learning Are you a passionate leader in the field of machine learning, ready to drive innovation and lead a dynamic team? We are seeking an Engineering Manager specializing in Machine Learning Models to join our tech-forward company located at the heart of technology's future developments - Culver City. This permanent position offers an opportunity for growth while working with some of the brightest minds shaping tomorrow's technologies. In this role, your mission will be: - To oversee and guide all stages of advanced machine learning model development. - Manage cross-functional teams ensuring project timelines are met without compromising on quality or innovation. - Drive strategic planning and execution within machine-learning initiatives aligning them with broader business goals. - Have a solid algorithm foundation and rich experience in computer vision or NLP-related tasks - Be proficient with AIGC algorithms, able to develop AIGC models at scale from inception to business impact. Skills required include * Technology Leadership: Direct cutting-edge projects that set industry standards; ability to inspire creativity among team members is essential. * Machine Learning Expertise: Deep understanding necessary to create models that can learn from vast data sets improving over time autonomously-experience building scalable ML systems is key. * Communication Skills: Clearly communicate complex technical concepts across different levels including stakeholders outside engineering departments contributing towards coherent strategy implementation throughout divisions. * Candidates should bring their passion for problem-solving using advanced computational techniques as well as their experience leading talented engineers creating breakthrough products powered by AI. Join us if you're excited about propelling progress through transformational leadership! Minimum Qualifications Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields, with more than 5 years of experience in algorithm research and development, and more than 1 year of experience in team management.
US$224000.00 - US$415000.00 per year
San Jose
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Senior Software Engineer
This is a FULLY REMOTE Senior Software Engineer Opportunity with a Series-C California-Based AI Startup. This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing products in the Insurance Industry. We are a leader in providing the most technologically advanced solutions in the insurance industry, dedicated to expanding the horizons of what is possible. Our mission is to drive the best claims outcomes for both insurers and the insured using innovative machine learning, including deep learning and natural language processing. Our models provide key insights and predictions that guide the claims adjuster in making optimal decisions at every step of the claim process. We are looking for a senior software engineer who will be responsible for the design and development of complex, robust, applications supporting cutting edge Artificial Intelligence software applications. Responsibilities You'll work closely with fellow engineers, product managers, data scientists and designers to define, refine and implement features. Our products are all about using data and predictive analytics to solve hard problems for our users You'll work across the stack. You'll collaborate with fellow engineers to build frameworks and tools, define standards, and improve overall efficiency and hygiene of the codebase Design and architect new product features, champion the use of cutting edge technologies and tools Work on a bi-weekly sprint schedule in a fast-paced startup environment. Participate in and contribute to scrum meetings i.e. daily stand-up, sprint planning, and retrospectives Qualifications Candidates with 5+ years' experience in software engineering, building large scale systems Ability to translate data needs into detailed functional and technical designs for development, testing and implementation Deep understanding of cloud-based computing and services and their trade-offs Ability to identify and communicate risks and issues affecting business rules, functional requirements, and specifications Technical leadership experience is helpful Experience with Software Development Lifecycles Experience with the following software/tools is highly desired Highly proficient with Python & AWS SQL and NoSQL databases like MySQL, DynamoDB, Elasticsearch AWS Cloud service: RDS, AWS Lambda, S3 etc (any equivalent cloud vendor will suffice) Experience working with cross-functional teams in a fast-paced environment Work Style: Fully Remote Work in EST hours Pay: $150k base, 10% bonus We have small, close-knit teams and rely on our engineers to work directly with product and design to ship features. We value people that take ownership and get things done, and have some fun along the way. We're building something big and important - come join us!
Up to US$150000 per year + 10% bonus
Santa Monica
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Software Engineer
Role: Software Engineer Location: NYC (onsite, 5 days in office) Tech Stack: Python, JavaScript/TypeScript, React, SQL, AWS Compensation: $125,000-150,000 Base + Annual bonus + Equity Currently working with an exciting Series A startup in the healthtech space! They are building an AI-based platform using greenfield methods to improve patient outcomes and reduce risk. This is a unique opportunity to maintain strong ownership of your work and contribute to the forefront of medical technology in the country's biggest medical hotspot! Responsibilities: Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews Qualifications: Bachelor's degree in Computer Science 2+ years of relevant work experience Strong backend development experience in Python, SQL, and AWS Expertise in Object Oriented Design and Database Design Well-versed in computer science fundamentals such as data structures, algorithms, and OOP concepts Experience with Agile or Scrum software development methodologies Nice to Have: Previous early-stage startup experience Exposure to the healthtech space Experience building microservices architecture
US$120000 - US$150000 per year + Annual Bonus + Equity
New York
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