Responsibilities Emphasis on Prioritization, clarity, and backlog management Analyze team performance and optimization Facilitate communication with development team and stakeholders to ensure alignment Plan and facilitate sprints, standups, reviews, and retrospectives Create user stories and acceptance criteria Continuous product improvement Stay up to date with market trends, competitor analysis, and customer feedback Translate market insights into actionable items Removes any impediments or blockers for team Qualifications Excellent verbal and written communication Ability to collaborate with cross-functional teams across different time zones Strong analytical and problem-solving skills Strong understanding of SDLC Knowledge and experience working in a Cloud / DevOps environment Excellent critical thinking, judgement and creative problem-solving skills. Comfortable navigating a high degree of change and/or ambiguity to drive clear paths for execution at the strategic and tactical level.
Responsibilities Lead and Guide: Mentor and provide technical leadership to a team of software engineers, fostering an innovative and inclusive team-oriented work environment Design and Develop: Create scalable and efficient software solutions utilizing technologies such as AWS Lambda, Node.js, TypeScript, and NoSQL Project Management: Oversee the development and delivery of software projects, ensuring adherence to predefined standards and timely delivery Collaborate: Work closely with product managers, designers, and other stakeholders to understand requirements and provide technical insights Code Review & Quality Assurance: Perform thorough code reviews and enforce best practices to ensure the delivery of high-quality code Continuous Improvement: Drive continuous improvement initiatives, optimizing performance through insightful analysis and innovative strategies Agile Scrum: Guide the team using Agile Scrum methodologies to ensure project delivery CI/CD: Implement and maintain Continuous Integration/Continuous Deployment pipelines to streamline software delivery Qualifications Bachelors (or higher) in Computer Science or related fields 8+ years of software engineering experience with a minimum of 3 years of leadership experience. Proficient in NodeJS, AWS Lambda, DynamoDB, MongoDB Experience in relational databases like PostgreSQL and MySQL Familiarity with OpenAPI for designing and documenting RESTful APIs Proficiency in developing event-driven architectures using tools like AWS EventBridge Extensive experience in Agile Methodologies Excellent problem solving, communication, and leadership skills Strong analytical abilities and attention to detail Experience in React and React-based frontend framework like Next.js, Astro, or Remix Experience with Python, Go, Rust, or Elixir Knowledge of AWS CDK or SST Familiarity with Nx or other monorepo system
Responsibilities Generate reports of test results and errors detected. Define priorities and plan tests of system requirements. Document the functionalities of the systems in both the quality control process and the software development cycle. Communicate issues with the appropriate level of urgency Write automated test scripts that enable speed of testing and software delivery. Identify and proactively seek out opportunities to augment team and framework capabilities. Collaborate with development and product management teams to drive comprehensive requirements for system enhancements and new features. Analyze end user requirements to create and maintain comprehensive test plans and test cases. Execute manual and automated test cases, debug, detect errors and / or possible improvements, document them and follow up to be resolved. Identify, reproduce, and report defects and verify fixes. Participate in agile development process and contribute to continuous improvement efforts. Represent the end user to the developers to ensure that the requirements are met. Detect and propose improvements in both the quality control process and the software development cycle. The ideal candidate in this role has: Expertise in automation frameworks such as Playwright, Cypress, Appium, and Puppeteer. A passion for quality engineering, test automation, and driving efficiency An automation-first mindset. Experience with CI/CD pipelines and integrations. Strong API testing skills. Critical thinking skills and a pragmatic approach to integration and e2e testing. A strong solution-oriented drive and focus on outcomes. Experience as quality owner for a product or critical SaaS platform component. Excellent writing skills to document unexpected behaviors and discuss testing scenarios with software engineers. A tenacious but collaborative approach to working across teams to drive toward objectives. A drive to find consistent approaches to solving similar types of problems. A pragmatic view on technology. You may be opinionated, but you're not ideological and can view technical decisions as having necessary tradeoffs. A highly developed sense of where risks lie and how to manage them. Excellent judgement and ability to communicate issues at the appropriate level of urgency. Qualifications 5+ years testing, building or supporting web applications. Experience testing APIs and client applications. Experience with using ticketing systems such as Jira, aha!, etc. Experience with test case management software. Strong analytical, critical thinking, troubleshooting and problem-solving skills. Excellent written and verbal communication skills. In disagreements, you engage thoughtfully with other perspectives and are willing to compromise. Demonstrated leadership ability to build, lead and inspire teams, foster a positive work culture, and develop talent. Familiarity with automated browser testing using an end-to-end testing framework. Experience with API testing frameworks (Postman, Rest Assured, etc). Experience testing or supporting web applications, databases, mobile, complex systems. Experience writing code using a language such as JavaScript or typescript. Knowledge of SQL and database concepts. Desire and ability to take on special engineering initiatives that have an impact.
Required Skills & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. At least 5 years of experience in software development, with a focus on backend systems and web applications. Strong knowledge of Node.js, JavaScript/TypeScript, PHP, Docker and utilization of AWS-based solutions Experience working with relational databases such as Postgres or MySQL Experience with web application frameworks such as Laravel, Phoenix, Next.js, Remix or SolidJS. Experience with modern Git workflows Strong understanding of software development best practices, such as design patterns and testing Experience with Agile development methodologies Preferred Skills & Experience Experience implementing build/deploy pipelines while working in a CI/CD environment Experience developing user interfaces using a modern JS/TS framework such as React, Vue.js, Angular or Svelte. Experience with NoSQL databases such as MongoDB or DynamoDB Experience building and deploying serverless functions on AWS, Azure or GCP, or experience building Laravel applications on AWS Lambda using Bref. Experience writing and maintaining automated tests Familiarity with CRM platforms such as Salesforce, SugarCRM or Zoho. Familiarity with microservice architectures
We are seeking a highly skilled Manager of Data Science, Generative AI to lead a team of data scientists in building and deploying next-generation AI solutions for medical and legal documents processing, management and creation. You will be responsible for setting the technical direction, coaching talent, and driving innovation while ensuring alignment with business objectives. Key Responsibilities: Lead and mentor a team of up to 6 data scientists, fostering a culture of innovation, collaboration, and technical excellence. Define the roadmap for generative AI initiatives, in collaboration with product partners, ensuring alignment with company strategy and measurable business outcomes. Guide the design, implementation, and deployment of generative AI workflows for document information extraction and document generation use cases. Partner with Product, AI/ML Engineering, and business stakeholders to identify opportunities for applying generative AI. Translate complex technical concepts into actionable insights for non-technical stakeholders. Influence product roadmaps by showcasing the business impact of generative AI initiatives. Qualifications: Masters or Ph.D. in Computer Science, Data Science, Machine Learning, or related field (or equivalent practical experience). 6+ years of experience in data science or machine learning, with at least 2+ years in a leadership/managerial role. Hands-on expertise in generative AI technologies Strong programming skills in Python and proficiency in SQL Experience with cloud ML platforms (AWS, GCP, Azure) and modern data/ML toolchains. Proven track record of delivering production-ready AI/ML systems. Strong project management and stakeholder communication skills.
What you’ll do: Design, build, and maintain scalable data pipelines and platforms Implement DevOps practices for data engineering workflows Manage AWS infrastructure, Snowflake, dbt Core, Apache Airflow, Atlan Drive CI/CD quality using GitHub Actions, Terraform, SonarQube, Docker, Kubernetes Ensure data governance, role-based access, cost optimization, and healthcare compliance Collaborate with data, dev, and product teams to deliver high-quality, reliable platforms What we need: • 5+ years of experience in Data Engineering + DevOps • Strong hands-on experience with Python, AWS, Snowflake, Airflow, Terraform, dbt Core • Familiarity with Docker, Kubernetes, GitOps, CI/CD pipelines • Knowledge of data governance, platform architecture, and cost optimization • Excellent problem-solving and communication skills
The AI/ML team at Trajector builds and productionizes NLP solutions that extract and utilize relevant information from unstructured text and audio to build efficient business solutions. We are seeking a highly experienced Staff Data Scientist specializing in Natural Language Processing (NLP) to lead the development and optimization of state of-the-art NLP systems for medical and legal documents processing, management and creation. The ideal candidate will have 8-10 years of relevant experience in data science, machine learning, and NLP, with a strong track record of delivering impactful solutions in complex, domain-specific contexts. Key Responsibilities: Design, develop, and deploy scalable NLP systems to process, analyze, and extract information from medical and legal documents. Lead the exploration and application of cutting-edge NLP techniques, including transformers, large language models, information retrieval, recommendation, summarization, and personalization systems, to solve domain-specific challenges. Collaborate with cross-functional teams, including product managers, engineers, and domain experts, to define project goals, requirements, and deliverables. Drive end-to-end development of AI/ML solutions, including data preprocessing, model training, evaluation, deployment, and performance monitoring. Ensure solutions meet high standards of data security, privacy, and compliance Stay abreast of emerging trends and technologies in NLP and machine learning and identify opportunities for their application in our systems. Contribute to the strategic direction of technology and product development within the organization. Contribute to the long-term AI/ML technical vision and roadmap. Basic Qualifications: Masters or Ph.D. in Computer Science, Data Science, Statistics, Computational Linguistics, or a related field. 3 - 5 years of professional experience in data science, preferably with a focus on natural language processing. Proven track record of solving business problems by delivering data science solutions at scale Expert in building and deploying machine learning models, including deep learning techniques and model fine-tuning Expert in data processing, feature engineering, analytics and visualization for structured and unstructured data Proficiency in Python Proficiency in SQL Proficiency in using source control systems like Github Proficiency in AI/ML/NLP frameworks such as Hugging Face, spaCy, scikit-learn, among others Proficiency in developing prompts for generative AI including evaluation of output Proven skills in translating complex data insights into clear, actionable business strategies Background of mathematical fundamentals including statistics, probability, linear algebra and optimization methods Experience in demonstrating the impact of data products using appropriate quantitative metrics Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and ML model deployment in production. Proven ability in contributing to complex projects and deliver results in a fast paced environment. Desired Qualifications: Experience working with medical or legal documents, including familiarity with domain-specific regulations (e.g., HIPAA, GDPR). Familiarity with OCR (Optical Character Recognition) technologies and integrating structured and unstructured data sources. Background in reinforcement learning, unsupervised learning, outlier detection, or graph-based NLP techniques. Familiarity with Python ML frameworks such as PyTorch or TensorFlow Background of linear algebra and neural network architecture Experience with MLOps tools and philosophies Publications or contributions to open-source NLP projects.
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