Jobs at Software Mind

Design, deploy, upgrade, and operate private and sovereign OpenStack cloud platforms. Own architecture across compute, storage, networking, and control planes; produce technical documentation and runbooks; integrate core services and enterprise systems; lead workshops, reviews, testing, and root-cause analysis; provide third-line escalation, presales expertise, and technical guidance to engineers.

Administer and operate private and sovereign OpenStack cloud platforms across data centers, telco, and edge environments. Responsibilities include Kolla-Ansible deployments, Linux and KVM preparation, OVN networking, storage configuration, monitoring and logging, incident response, maintenance, upgrades, configuration management, Ansible automation, CI pipelines, and on-call support. The role requires production Linux and OpenStack administration, troubleshooting expertise, networking knowledge, virtualization skills, and practical Ansible and Git experience.

Manage enterprise infrastructure and IT operations projects covering automation, patch management, observability, private and public cloud, VMware exit, and migrations. Own scope, schedule, budget, quality, risks, reporting, change control, team capacity, stakeholder communications, acceptance, and service transition. Coordinate architects, engineers, client change and release teams, steering committees, testing, production handover, operating models, and service levels. Projects involve fixed-price delivery, hybrid environments, and clients across Western Europe.

Design, build, and maintain scalable backend services and RESTful APIs using Java, Spring Boot, and Hibernate. Translate technical designs into reliable production applications, write testable code, troubleshoot performance issues, review code, and collaborate cross-functionally. Use and critically evaluate AI-assisted development tools for implementation and testing. Develop scheduled or background processes when needed and contribute to backend architecture and engineering best practices.

Build and operate production change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium. Deploy stateful workloads on AKS, automate onboarding and recovery with Python, integrate streams with Event Hubs, ADLS, ADF, and Databricks, and manage infrastructure as code. Monitor and troubleshoot connector performance, failures, backpressure, and recovery while applying data-protection controls such as masking, hashing, access control, and retention.

Lead technical architecture for web and mobile platforms, serving as the primary technical contact for business stakeholders. Own system design across frontend, backend, mobile, and cloud environments while ensuring scalability, reliability, performance, security, and code quality. Guide engineering teams through technical decisions, reviews, mentoring, and rapid delivery. Drive innovation involving AI and low-code solutions, collaborate across product and design teams, and provide guidance on native mobile development.

Develop backend features in .NET, maintain APIs, support system integrations, write clean code and unit tests, analyze bugs and logs, participate in reviews and technical workshops, and responsibly use and verify AI-generated solutions. Collaborate with experienced developers while building scalable systems and growing C# and ASP.NET Core expertise.

Lead and coach Scrum teams, facilitate ceremonies, coordinate daily work, and help teams achieve sprint goals. Drive pragmatic process improvements across Product Owners, business stakeholders, development, and QA teams. Communicate team value, manage workloads, solve problems, conduct root cause analysis, and advocate for change with senior technical leaders.

Develop and maintain UI, functional, regression, performance, and security test automation for a high-volume SaaS compliance platform. Implement Playwright and Postman-based frameworks, automate complex cases, integrate testing into CI/CD pipelines, collaborate with Agile teams, report testing insights, and continuously improve automation coverage and efficiency.

Design and develop responsive healthcare web applications and backend APIs using React, C#, and .NET Core. Integrate third-party services, support scalable distributed systems, protect sensitive healthcare data, and perform testing and troubleshooting. Collaborate with cross-functional teams on continuous improvements, translate business requests into project plans, and help execute moderately sized software projects in cloud-native SaaS environments.

Designs and optimizes data pipelines, migrates legacy SSIS workloads to Microsoft Fabric and Azure, and develops Power BI reports, dashboards, semantic models, and data warehouse solutions. The role involves complex SQL and T-SQL development, dimensional modeling, performance tuning, data quality monitoring, client requirements gathering, architecture participation, and technical documentation across multiple consulting projects.

Lead test automation for a greenfield .NET 10 enterprise platform. Build a Playwright-based C# framework, define standards, integrate tests and gates into Azure DevOps CI/CD, verify AI-generated code/tests, cover tenant isolation and mobile MAUI Blazor, and mentor the manual QA team to adopt automation practices.

Design and deliver production-ready Generative AI solutions, including LLM, RAG, agent, automation, and intelligent systems architectures. Translate client business needs into scalable cloud-based solutions, lead AI pre-sales workshops and presentations, create architecture proposals and diagrams, and guide engineering teams through implementation. Apply AI governance, security, responsible AI, monitoring, and lifecycle-management practices while advising stakeholders on effective technical strategies.

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.