Participate fully in Agile ceremonies and SAFe PI Planning to ensure testability and acceptance clarity for user stories.
Develop and maintain manual and automated test cases aligned to acceptance criteria; execute acceptance testing to validate delivered functionality.
Coordinate defect identification, documentation, prioritization, and tracking in Jira; report defect trends and quality risks to stakeholders.
Altus Engineering, founded in 2003, is a Maryland-based small business that provides professional engineering services to the Department of Defense and industry customers. They pride themselves on providing outstanding professional and technical services through building and empowering teams that will continue to grow with them.
Design, build, and maintain distributed backend systems using Go, AWS, Kafka, Postgres, and DynamoDB.
Collaborate cross-functionally with product managers, designers, and enterprise partners to define user journeys, performance goals, and success metrics.
Own critical parts of Connectly’s platform infrastructure — from messaging orchestration to data pipelines and API integrations.
Connectly is building the future of conversational commerce in Latin America with a focus on Whatsapp, offering a 360 engagement platform for retailers. It's a VC-backed Series B startup with a world-class team from top Silicon Valley companies, operating as a hybrid company but promoting a remote-first culture.
Analyze, evaluate, and improve the quality of multilingual text classifier outputs.
Partner with linguistics and engineering teams to develop and refine language-specific parsers.
Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to Romanian (and/or Romanian to English as needed).
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. Lightcast is committed to diversity of thought and unique perspectives, and we encourage our employees to bring their authentic selves to work.
Develop realistic prompts to test the relevance and quality of AI-generated insights.
Systematically evaluate divergence between professional credit judgment and AI outputs.
Translate credit professional workflows into problems that push the limits of AI reasoning.
Mentis AI operates where institutional investment expertise meets frontier AI systems. Our team blends asset management experience with machine learning and applied AI research, collaborating with leading AI labs to improve how models reason and make decisions in high-stakes financial contexts.