Jobs at Software Mind

Build, test, implement, migrate, and maintain infrastructure-oriented back-end applications for a government private-cloud solution. Responsibilities include designing Python applications, improving existing systems, collaborating with architects and specialists, and supporting automated software delivery and cloud infrastructure.

Develop, test, maintain, and troubleshoot scalable software applications using Node.js and TypeScript. Collaborate with product, architecture, QA, data engineering, and IT teams; participate in code reviews, Agile ceremonies, documentation, onboarding, and process improvement. Promote engineering best practices, automation, maintainability, security, performance, and reliable delivery.

Design, validate, and productionize probabilistic and statistical machine learning models for e-commerce use cases. Responsibilities include Bayesian modeling, Markov and Hidden Markov Models, MCMC, mixture models, Expectation-Maximization, model lifecycle management, and integration with microservices and event-driven systems. The role collaborates with backend engineering and product leads, defines APIs and data contracts, monitors deployed models, and documents modeling assumptions and validation results.

Maintain and stabilize a legacy client application during a three-month engagement. Responsibilities include upgrading dependencies and frameworks, expanding backend and frontend unit tests, validating functionality, resolving compatibility issues, and collaborating with the client engineering team. The role uses Kotlin, Gradle, TypeScript, and React, with slightly greater backend emphasis. Candidates must work independently, communicate in English, ramp up quickly, and support a full-time remote engagement from Latin America.

Build and maintain scalable Python and SQL backend services, APIs, data pipelines, ingestion workflows, and automated internal tools. Contribute to server-rendered frontends using HTML, HTMX, and Jinja. Deploy and manage AWS applications while improving testing, performance, security, monitoring, and data quality. Own technical projects, contribute to architecture and planning, troubleshoot production issues, and collaborate independently with product, data, and operations teams.

Supports daily office operations by welcoming visitors, handling correspondence, phone calls, filing, expense reports, purchasing, vendor coordination, events, and internal administrative communications. Requires at least one year of office administration or customer service experience, MS Office proficiency, B2-level English, strong organization and communication skills, and the ability to work independently under time pressure.

Design, build, test, and deploy production-ready agentic AI and multi-agent solutions using Palantir Foundry, Palantir AIP, LLMs, Azure, and Databricks. Responsibilities include developing AI agents, data pipelines, ontologies, RAG workflows, model integrations, automated testing, observability, guardrails, and secure CI/CD. The role also involves client collaboration, knowledge sharing, and mentoring engineers across international consulting projects.

Design, develop, and maintain scalable Python backend services and REST APIs for a cybersecurity data platform. Process large datasets, build data pipelines, and work with Azure, AWS, PostgreSQL, Docker, Databricks, event-driven architectures, CI/CD, and Infrastructure as Code. Contribute to system design, testing, code reviews, technical improvements, and mentoring while leveraging AI-assisted development tools.

Lead and coach Scrum teams, facilitate ceremonies, coordinate daily work, remove impediments, and improve delivery processes across teams and stakeholders. The role requires pragmatism, communication with senior technical leaders, value demonstration, root cause analysis, workload management, and flexible support as a Scrum Master, coach, or hands-on coordinator.

Designs, deploys, upgrades, and operates private and sovereign OpenStack cloud platforms. Owns architecture across compute, storage, networking, and control plane, produces technical documentation, integrates platform services, and establishes monitoring and ServiceNow CMDB connectivity. Leads workshops, acceptance testing, third-line escalation, root-cause analysis, presales support, and technical guidance. Requires extensive production OpenStack, Kolla-Ansible, Linux, virtualization, container, networking, and distributed systems expertise.

Designs and delivers production-ready Generative AI solutions, including LLM, RAG, agent, automation, and vector search architectures. The role involves cloud architecture across AWS, Azure, or GCP; AI pre-sales; client workshops; technical presentations; implementation oversight; engineering leadership; and responsible AI governance. Candidates need architecture or senior engineering experience, production AI/ML experience, cloud expertise, API and distributed-systems knowledge, ML/AIOps familiarity, and strong English and Polish communication skills.

Administer and operate private and sovereign OpenStack cloud platforms using Kolla-Ansible. Responsibilities include configuring compute, networking, storage, monitoring, and logging; troubleshooting incidents; executing maintenance and upgrades; maintaining Git-based configuration repositories; automating tasks with Ansible and CI pipelines; and participating in on-call support.

Administer and support a ServiceNow platform by handling incidents and requests, managing users and access, configuring catalog items and forms, monitoring jobs and integrations, troubleshooting issues, promoting changes with update sets, and documenting procedures. The role works directly with clients and collaborates with developers and architects. Experience with ITOM, CMDB, CSDM, scripting, and managed service environments is advantageous.

Develop and enhance web application components for an external web platform. Responsibilities include writing maintainable, high-quality code, estimating work, coordinating delivery, collaborating with technical and business stakeholders, documenting solutions, and contributing throughout the full development lifecycle. The role requires full-stack development using C#, .NET Core, React, SQL, APIs, containers, and Azure DevOps, along with agile practices and strong communication skills.

Manage complex on-premises Linux infrastructure and deliver project-driven transformations. Responsibilities include Linux administration, lifecycle and configuration management, deployment and patching automation, systems automation, observability, virtualization, infrastructure as code, and technical documentation. The role also involves using Ansible and AAP/AWX, supporting IAM and IPAM, managing firewalls and storage, reverse engineering systems, and contributing project management expertise within international managed-service projects.

Manage infrastructure and IT operations projects for enterprise clients, overseeing scope, schedules, budgets, quality, risks, reporting, change control, stakeholder communication, testing, acceptance, and service transition. Projects span automation, patch management, observability, private and public cloud, virtualization, migration, and hybrid environments. The role requires coordinating architects and engineers, leading governance meetings, managing client expectations, and ensuring successful handover to managed service operations.

Design and manage Azure and Cloudflare infrastructure using Terraform, oversee PostgreSQL operations, configure messaging, and maintain GitHub Actions CI/CD pipelines. Develop Power BI semantic models and reports, manage Azure Synapse notebooks and pipelines, optimize SQL queries, and automate deployments with PowerShell. Implement RBAC, monitoring, and observability while troubleshooting infrastructure, data refresh, and model performance issues.

Designs, builds, and maintains scalable Java backend services and RESTful APIs using Spring Boot and Hibernate. Participates in architecture and design discussions, translates requirements into production-ready solutions, writes automated tests, troubleshoots performance and reliability issues, reviews code, and collaborates cross-functionally. Uses and validates AI-assisted development tools while maintaining code quality, security, and maintainability. May develop scheduled background processes with Quartz.

Develop and enhance backend Python services and REST APIs for a high-performance infrastructure provisioning platform. Responsibilities include implementing platform features, supporting multi-tenancy and role-based access control, integrating with infrastructure automation services, and improving code quality, documentation, testing, and delivery practices. The role involves collaboration within a cross-functional engineering team and working with existing codebases to deliver maintainable, scalable solutions.

Build and operate PostgreSQL change-data-capture pipelines using Kafka Connect and Debezium on Azure and AKS. Automate onboarding, orchestration, monitoring, recovery, and testing with Python. Integrate CDC streams with Event Hubs, ADLS, Azure PostgreSQL, ADF, and Databricks. Troubleshoot production streaming issues, manage infrastructure as code, operate stateful Kubernetes workloads, and apply data protection controls including masking, hashing, access control, and retention.