Jobs at Software Mind

Senior People Manager role at Software Mind Romania within an international technology company. The description emphasizes working in an open, supportive, agile culture with cross-functional engineering teams, remote work, flexible hours, professional development, and employee benefits. Specific responsibilities and qualifications are not provided.

Design, build, and operate scalable backend services and data pipelines using Python, SQL, AWS, databases, data warehouses, and orchestration tools. Improve system reliability, observability, security, data quality, and automation while modernizing legacy workflows. Develop APIs, dashboards, ingestion services, and distributed systems; diagnose production issues; and collaborate with product, analytics, and operations teams on technical direction and roadmap planning.

Lead and coach Scrum teams, facilitate ceremonies, coordinate daily work, and help teams self-organize and achieve sprint goals. Improve processes across Product Owners, business stakeholders, development, and QA teams. Communicate delivered value, drive pragmatic organizational change, perform root cause analysis, manage workloads, and adapt between Scrum Master, coach, and problem-solving responsibilities.

Develop and enhance web application components for the client’s external web platform. Responsibilities include writing maintainable, high-quality C# and .NET code, building APIs and React interfaces, designing databases, collaborating with delivery teams and business stakeholders, estimating work, documenting solutions, driving task delivery, and supporting the full software development lifecycle in an agile, containerized environment.

Manage enterprise infrastructure and IT operations projects across hybrid cloud, on-premises, automation, observability, virtualization, and migration environments. Own scope, schedule, budget, quality, risks, change control, stakeholder communication, steering committees, acceptance, and service transition. Coordinate architects, engineers, client production teams, and managed service operations while ensuring fixed-price delivery and successful handover.

Design and manage infrastructure across Azure and Cloudflare using Terraform. Operate PostgreSQL databases, configure message queues, maintain GitHub Actions CI/CD pipelines, enforce RBAC and infrastructure security, implement monitoring and observability, and resolve infrastructure issues. The role also requires Power BI, Azure Synapse, SQL, PowerShell, Azure Functions, Azure DevOps, and Git expertise for data platform deployment and operational support.

Support a short-term BI platform migration from Metabase to Omni. Build, migrate, and validate dashboards and reporting views while collaborating with the Head of Analytics. The role requires strong SQL, Snowflake, Looker, data visualization, and independent project ownership. Familiarity with Omni, semantic layers, dbt, and BI migrations is advantageous.

Build and maintain Databricks data pipelines, curated datasets, metric views, and governed analytics systems. Develop Genie Agents and multi-agent orchestration, implement MLflow tracing and evaluation, integrate AI tools through MCP, and collaborate with data and product teams to create reusable business definitions and reliable production-grade analytical solutions.

Design and deliver production-ready Generative AI solutions for clients. Translate business needs into scalable cloud architectures, lead discovery workshops and technical presentations, define RAG pipelines, vector search, agents, and LLM integrations, and guide engineering teams through implementation. Support AI pre-sales, governance, security, monitoring, lifecycle management, and responsible AI practices while aligning technical solutions with business goals.

Build and maintain the reliability layer for an AI copilot used by process engineers. Investigate agent failures, develop evaluation harnesses for prompts and model migrations, implement grounding and assumption checks, review generated outputs, and resolve performance and concurrency issues. The role requires strong Python development, production LLM experience, rigorous regression testing, feature-flagged rollouts, and autonomous debugging in a distributed team.

Design, develop, and maintain scalable Python backend services and REST APIs for a data-intensive cybersecurity platform. Process and transform large datasets, contribute to cloud-native architecture, CI/CD, and Infrastructure as Code, and collaborate on system design and data modeling. Improve software quality through testing, code reviews, clean coding practices, and mentoring junior developers.

Manage complex on-premise Linux infrastructure, including lifecycle and configuration management, automated deployment and patching, system process automation, observability, virtualization, and security domains such as IAM and IPAM. The role involves infrastructure transformation projects, Ansible-based automation, scripting, reverse engineering, technical documentation, and project management while supporting managed services for an international IT infrastructure provider.

Administer and support a ServiceNow platform by handling incidents and requests, managing users and access controls, configuring forms and catalog items, monitoring jobs and integrations, troubleshooting errors, promoting changes with update sets, and documenting procedures. The role works remotely with developers, architects, and client stakeholders, with potential growth into ITOM, CMDB, and CSDM responsibilities.

Build and operate PostgreSQL change-data-capture pipelines into Azure using Kafka Connect and Debezium. Deploy and scale stateful connector workloads on AKS, automate onboarding and recovery with Python, integrate streams with Azure data services, and manage infrastructure as code. Monitor production pipelines, troubleshoot failures and performance issues, and apply data protection controls including masking, hashing, access control, and retention. The role requires hands-on Kafka, CDC, PostgreSQL, Python, Azure, Kubernetes, and production platform experience.

Maintain and extend an existing full-stack application during an extended operational period. Responsibilities include upgrading dependencies, libraries, and frameworks; expanding unit test coverage; validating system stability; resolving upgrade-related issues; and collaborating with the client engineering team. The role is split between Kotlin/Gradle backend development and TypeScript/React frontend development, with slightly greater backend focus.

Design, validate, and productionize probabilistic AI and statistical machine learning models for e-commerce use cases. Responsibilities include Bayesian inference, Markov and Hidden Markov Models, MCMC sampling, mixture modeling, and Expectation-Maximization. Collaborate with backend engineers to integrate models into microservices and event-driven systems, define APIs and data contracts, manage model lifecycle processes, support roadmap planning, and document assumptions and validation results.

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.

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.

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.