Jobs at Software Mind

Develop and maintain WEBCON BPS applications for document, approval, and back-office processes. Configure workflows, forms, business rules, assignments, reports, and dashboards in Designer Studio. Build custom logic with T-SQL and JavaScript, integrate systems through REST and SOAP, troubleshoot production issues, document solutions, support user acceptance testing, and collaborate with analysts and stakeholders.

Owns production reliability for an AI platform running on Kubernetes. Responsibilities include deployment and operations, observability, incident response, on-call support, root cause analysis, CI/CD, GitOps, networking, and troubleshooting Node.js and JVM services. The role also supports authentication, scaling, monitoring, and reliability improvements across distributed applications, with opportunities to work on server-side rendering, canary releases, tracing, and event-driven autoscaling.

Build and manage Palantir Foundry data pipelines, ontology components, applications, and AIP-powered agentic AI workflows. Lead solutions from prototype through production, guide architecture and code reviews, coach engineers, resolve technical blockers, and communicate design decisions and delivery risks to clients. Integrate AI with enterprise data, APIs, and business systems while owning technical delivery.

Design, build, and deploy AI and Generative AI solutions, including LLM applications, chatbots, intelligent automation, agent workflows, and RAG pipelines. Develop production prompt engineering strategies, integrate AI models with cloud applications and APIs, and evaluate emerging AI tools and frameworks. Collaborate with international clients to deliver scalable, responsible AI systems.

Manage multiple software projects in logistics and last-mile delivery, coordinating development, QA, design, clients, schedules, risks, billing, documentation, onboarding, environments, and releases. Maintain Jira, lead stand-ups, track deadlines, communicate project status, and use AI tools to automate reporting and routine tasks.

Designs and develops end-to-end WEBCON BPS solutions, including process models, data structures, business rules, reports, SDK extensions, and complex integrations. Leads technical decisions for platform configuration, performance, upgrades, and environments; reviews solutions, supports estimation, mentors developers, and troubleshoots production issues. Requires strong WEBCON BPS, C#, .NET, SQL Server, JavaScript, HTML, CSS, REST, and SOAP experience, with client-facing English communication.

Develop resilient backend software for client projects using .NET and C#. Responsibilities include applying design patterns, resolving security and performance issues, writing complex tests, interpreting code metrics, supporting microservice architectures, and collaborating directly with German- and English-speaking clients.

Design end-to-end workflows, personalized recommendation experiences, and monetized components for AI/LLM products. Create user flows, wireframes, mockups, and high-fidelity Figma prototypes while collaborating with product, engineering, data, and business teams. Apply accessibility, design systems, business logic, and performance metrics to deliver polished, implementable designs and optimize conversion, completion, engagement, and drop-off.

Build multi-agent systems, optimize prompt engineering strategies, integrate LLMs and AI models into cloud applications and APIs, implement agentic workflows, and research emerging AI tools. The role requires developing RAG architectures, knowledge bases, vector database solutions, responsible AI safeguards, and production-grade Generative AI applications while collaborating with clients and technical teams.

Owns end-to-end data platform architecture on Microsoft Fabric, designing Bronze, Silver, and Gold Delta tables, Spark feature pipelines, canonical MERGE workflows, Direct Lake semantic models, and OneLake layouts. The role also covers performance optimization, Fabric capacity sizing, idempotent Python-based writes, IaC collaboration, and risk data product delivery. Responsibilities include handling tokenized payment data, rolling risk features, semantic model performance, and integrations across Fabric workspaces.

Develop and maintain Kotlin applications for a telecommunications client. Responsibilities include improving code quality, implementing functionality with technical and product teams, maintaining documentation, performing integration, regression, and acceptance testing, and supporting production issue resolution.

Design, develop, and maintain scalable full-stack applications using the MEAN stack. Provide architectural guidance, conduct code reviews, mentor engineers, and lead modernization, refactoring, and performance initiatives. Develop RESTful APIs, support MongoDB and SQL Server database modernization, and collaborate on Power BI and Microsoft Fabric analytics solutions. Ensure software quality, security, and HIPAA/PHI compliance while evaluating technologies and supporting proof-of-concept implementations.

Design, build, and operate a multi-tenant User Management API covering identity lifecycle, RBAC, authentication, authorization, audit tooling, and tenant isolation. Integrate Okta and Microsoft Entra ID, manage secrets with Azure services, maintain REST and gRPC contracts, and develop comprehensive authentication and security tests. Collaborate with frontend and product teams, support SDK consumers, and participate in on-call incident response.

Own AWS infrastructure, infrastructure-as-code, CI/CD pipelines, security, observability, release management, rollback strategies, documentation, and cost visibility for containerized and serverless services. Build and operate production environments for .NET and React applications using AWS services, Docker, Terraform or CloudFormation/CDK, and automated testing and security scanning. Partner with clients in English and support secure, highly available e-commerce services.

Design, develop, test, deploy, and maintain scalable full-stack web applications using JavaScript, TypeScript, React, and Node.js. Build secure APIs and third-party integrations, deploy and monitor solutions on Microsoft Azure, maintain CI/CD pipelines, and collaborate with project managers, engineers, business analysts, clients, and stakeholders. The role includes writing tested code, participating in reviews, managing features end-to-end, and contributing to modern software solutions in a consulting environment.

Build secure production services on Google Cloud from prototypes, develop Python APIs and data pipelines, integrate business systems with canonical data layers, automate reporting, and own deployment, monitoring, security, documentation, and stakeholder communication. The role requires strong cloud, data engineering, full-stack, and service ownership skills, with emphasis on autonomous delivery and secure software practices.

Design and maintain scalable Python backend services and REST APIs for a cybersecurity data platform. Process large datasets using cloud-native, event-driven, and distributed architectures across Azure or AWS. Work with PostgreSQL, Databricks, Docker, CI/CD, Infrastructure as Code, automated testing, and data pipelines. Contribute to system design, code reviews, technical improvements, mentoring, and AI-assisted development.

Design and deliver production-ready Generative AI architectures, including LLM, RAG, agentic, automation, and vector-search solutions. Translate client business needs into scalable cloud architectures, proposals, diagrams, and implementation plans. Lead workshops, technical presentations, and AI pre-sales activities while guiding engineering teams through delivery. Apply AI governance, security, responsible AI, deployment, monitoring, and lifecycle-management best practices.

Administer and maintain large-scale VMware virtualization and NetApp storage platforms for government and regulated-market customers. Responsibilities include troubleshooting, capacity and lifecycle management, patching, backup and recovery verification, incident and change handling, infrastructure projects, documentation, and standby support. The engineer will collaborate remotely with Dutch client teams, lead complex technical work independently, and contribute to knowledge sharing.

Designs and delivers cloud, hybrid, and on-premises data architectures using Snowflake and Databricks. Responsibilities include lakehouse and warehouse design, data modeling, pipelines, governance, security, performance optimization, and enablement for analytics, ML, and GenAI. Acts as a technical authority, leads client workshops and presales activities, develops proofs of concept, presents recommendations to stakeholders, and evaluates emerging data technologies.