Top Tech Jobs & Startup Jobs

Lead presales discovery and architecture workshops, design high-level private and sovereign cloud solutions, defend architectures and cost to C-level, support sales and estimations, drive migrations and build repeatable private/sovereign cloud offerings and presales assets.

Senior backend engineer to own customer onboarding, integrate client systems, drive process improvements, and execute development using Python/Flask, React/NextJS, PostgreSQL. Manage multiple onboarding projects, collaborate with clients on configurations, prototype rapidly, and work autonomously within cross-functional teams to deliver production-ready solutions.

Design, validate, and productionize probabilistic AI and statistical machine learning models for an e-commerce platform. Responsibilities include Bayesian modeling, Markov and Hidden Markov Models, MCMC, mixture modeling, Expectation-Maximization, model lifecycle management, and integration with microservices and event-driven systems. The role partners with backend and delivery teams on APIs, data contracts, roadmap planning, monitoring, retraining, documentation, and model handoff.

As a Senior AI Engineer, you will develop and optimize AI-driven solutions, focusing on multi-agent systems, LLM-based applications, and AI automation. Your role includes building applications, integrating models into cloud solutions, and conducting research on new AI tools.

Design, develop, test, deploy, migrate, and maintain backend infrastructure applications for a government private-cloud solution. Collaborate with architects and specialists on system design, support production platforms, contribute to scope estimation and pre-sales materials, and propose client-focused improvements. The role also involves building client relationships, making technical decisions, mentoring engineers, and progressing toward technical leadership.

Design, develop, test, deploy, and maintain scalable .NET software solutions throughout the SDLC. Manage SQL and Azure SQL database objects, conduct code reviews, resolve production issues, and support releases and environments. Collaborate with product owners, technical teams, vendors, and business stakeholders to define requirements and deliver reliable solutions. Produce technical documentation, estimates, knowledge-transfer materials, and continuous-improvement recommendations while applying best practices for performance, scalability, and quality.

Design, build, operate, and optimize Python-based automations, API integrations, data workflows, scheduled jobs, and process replacements. Maintain, troubleshoot, administer, and modernize Power Automate cloud and desktop flows. Develop SQL Server queries and procedures, implement logging, monitoring, alerting, and runbooks, and evaluate Azure-native or containerized execution. Collaborate with business stakeholders, document solutions, use AI-assisted coding tools, and ensure reliable production operation.

Owns DevOps delivery for a cloud-native e-commerce replatforming initiative. Responsibilities include building CI/CD pipelines, provisioning AWS infrastructure with infrastructure as code, implementing security controls, supporting OAuth2/OIDC, configuring messaging, and maintaining monitoring and alerting. The role also coordinates releases across distributed teams, troubleshoots production incidents, develops rollback procedures, documents infrastructure, and collaborates with backend, QA, and IT teams.

Design, develop, and maintain scalable Python backend services and REST APIs for a cybersecurity data platform. Process and transform large datasets, contribute to cloud-native architecture, CI/CD, infrastructure as code, data modeling, testing, and system design. Collaborate with engineers, conduct code reviews, improve platform reliability, and mentor junior developers.

The Data Business Analyst will gather and document requirements for data, reporting, and analytics initiatives. Responsibilities include translating stakeholder needs into user stories and acceptance criteria, supporting backlog prioritization, defining data requirements and KPIs, analyzing source systems and data flows, facilitating workshops, and documenting process flows, data mappings, and functional specifications. The role collaborates with Product Owners, Scrum Masters, data engineers, BI specialists, developers, and business stakeholders in an agile environment.