Software Mind

Role Description The Semi-Senior Finance Analyst will support the finance team in delivering accurate financial reporting, modeling, and analysis across the business. This role requires both technical rigor and strong collaboration skills, working cross-functionally to drive data-informed decisions and support planning processes. Responsibilities - Produce and maintain detailed P&L reports, cash flow statements, and KPI dashboards for senior management. - Build and maintain complex models to value projects and forecast business performance. - Compare actual financial results against budgets and forecasts, investigating discrepancies to inform corrective actions. - Work with cross-functional departments to streamline workflows and track business performance budgets versus actuals. - Assist with budget preparation, forecasting, and provide financial inputs for business cases. - Assist in the preparation of general ledger and accounts reconciliations, book entries, and help with internal and external audit activities. Qualifications - English (B2+/90% level) and Spanish fluency is mandatory, along with strong communication skills. - 2–3 years of experience as a semi-senior finance analyst. - Strong Excel modeling skills. - Experience using Claude for Excel to accelerate tasks, audit formulas, build multi-tab models, and extract data from external files. - University or intermediate degree in Finance or Economics. - Good knowledge and experience in revenue, costs, margins, and EBITDA calculation. - Experience with budgeting and forecasting processes, analysis, and reporting. - Capable of working in fast-changing environments with strict due dates for reporting and presentations. - Strong analytical skills. - Team player attitude. Requirements - Experience using QuickBooks accounting software. Benefits - A quick knowledge check will be part of the interview process. Company Description We're hiring for all Latin America! Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Role Description We are looking for a DevOps Engineer (L3/L4) to join a growing Platform Engineering team focused on supporting software engineers across the organization. - This position is highly customer-oriented, serving as the first point of contact for internal engineering teams. - Help troubleshoot cloud infrastructure, CI/CD, deployment, and platform-related issues. - Partner with a back-end platform team for more complex challenges. - Proactively identify recurring problems, automate repetitive tasks, and continuously improve the internal developer experience. - Contribute to larger infrastructure initiatives, helping shape the company's cloud strategy and build reliable, scalable AWS-based systems. - Ideal for engineers who enjoy solving technical problems and collaborating closely with software developers. Qualifications - 5+ years of experience as a DevOps Engineer, Site Reliability Engineer, Platform Engineer, Cloud Engineer, or similar role (L4 candidates typically have 7+ years). - Strong hands-on experience with AWS cloud services, including EC2, networking, IAM, and core infrastructure services. - Experience writing Infrastructure as Code using Terraform. - Strong scripting skills using Python and Bash. - Experience supporting Linux-based environments. - Experience building and maintaining CI/CD pipelines. - Experience debugging infrastructure, deployment, and networking issues with strong root cause analysis skills. - Experience supporting cloud-native applications and containerized workloads. - Familiarity with monitoring, logging, and observability tools. - Ability to gather requirements and communicate effectively with software engineers and non-infrastructure stakeholders. - Strong troubleshooting mindset with a customer-first approach. - Comfortable working collaboratively across engineering teams. - Ability to work Central or Eastern US business hours. - Reliable internet connection, webcam, and microphone for remote collaboration. Requirements - Experience supporting internal developer platforms or Platform-as-a-Service (PaaS) environments. - Experience with Kubernetes (EKS), ECS, Docker, and container orchestration. - Experience with Jenkins, GitHub, CodeDeploy, or similar CI/CD tooling. - Experience with observability platforms such as DataDog, OpenTelemetry, ELK Stack, New Relic, or Sentry. - Experience with AWS services including Lambda, Aurora, DynamoDB, SQS, SNS, Kinesis, CloudFront, or CloudFormation. - Experience with cloud networking, routing, and VLANs. - Experience with Azure or Google Cloud Platform. - Experience administering Windows Servers, Active Directory, or ASP.NET deployments. - Software development experience in any programming language. - Experience mentoring junior engineers (particularly for L4 candidates). What you will do - Provide day-to-day technical support to internal software engineering teams on cloud infrastructure and platform-related issues. - Serve as the first line of technical support, escalating complex infrastructure issues when appropriate. - Troubleshoot deployment, networking, infrastructure, and CI/CD challenges. - Perform root cause analysis and implement long-term solutions to recurring problems. - Identify opportunities to automate manual operational tasks and improve engineering workflows. - Build, maintain, and improve Infrastructure as Code using Terraform. - Develop automation and tooling using Python and Bash. - Design, deploy, and maintain scalable AWS cloud infrastructure. - Collaborate closely with software engineers to understand platform needs and translate them into technical solutions. - Participate in code reviews, technical discussions, and architectural improvements. - Contribute to improving platform reliability, scalability, security, and operational excellence. - Mentor other engineers and promote engineering best practices (L4). Benefits - Educational resources - Flexible schedule and Work From Anywhere - Referral Program - Supportive and chill atmosphere

Role Description Design hardware and electrical control systems for industrial automation equipment, including but not limited to: - Conveyor systems - Sortation equipment - Flow-control devices used in parcel, logistics, and e-commerce distribution operations This role sits within their hardware engineering team and is responsible for design only, while other teams handle field installation and commissioning. Projects are substantial in duration, and engineers move from one project to the next as design phases complete. Qualifications - Senior-level experience (5+ years) in hardware/electrical design for industrial automation or material handling equipment - Strong AutoCAD proficiency - Solid understanding of the physical components involved (motors, drives, sensors, PLCs) - Strong English communication skills for real-time collaboration with U.S. engineering counterparts and project teams - Ability to work independently, remotely Requirements - Design hardware and electrical control systems for automated material handling equipment - Produce AutoCAD drawings, schematics, panel layouts, and wiring diagrams to document designs - Apply working knowledge of components used in equipment (motors, drives, sensors, PLCs, safety devices) - Translate project specifications and mechanical requirements into buildable designs - Maintain BOMs and design documentation - Ensure designs comply with applicable codes, standards, and client specifications - Work on a project basis, with assignment to specific projects for the duration of the design phase Benefits - Competitive salary - Professional development and training opportunities - Work with cutting-edge cloud and container technologies - Flexible work arrangements and collaborative team environment - Impact on organization-wide digital transformation initiatives

Role Description We are looking for a skilled (Senior) Backend Engineer to join one of our cross-functional product teams. The role requires a high level of technical expertise, excellent communication skills, and a proactive, collaborative mindset. This position is embedded in ongoing client projects and will be closely integrated into our ways of working. - Self-organization & Precision: You work independently and precisely, planning your tasks thoroughly and proactively. - Staying Up-to-Date: You keep your finger on the pulse, staying informed about current trends in your field. You bring this knowledge into your work and team, making suggestions for potential innovations. - Resilience: You write highly resilient code. - Security: You are capable of identifying and resolving security vulnerabilities. - Software Patterns: You understand the fundamentals of software design patterns and are able to apply them within the project. - Performance: You are capable of analyzing and troubleshooting performance issues. - Testing: You can write tests for complex scenarios and analyze the results. - Metrics (Maintainability, Complexity, etc.): You can interpret code metrics and derive actionable improvements for your software. - Problem-Solving: When you spot a challenge or a problem, you actively work toward a solution and support others in doing so. Qualifications - .NET/.NET Core - C# - Entity Framework - REST-API - PowerShell - SQL - Build- and Deploy-Prozesse in Azure DevOps - Experience with microservice architectures - Experience with Azure Service Bus / RabbitMQ / MassTransit - Experience with Elasticsearch / OpenSearch - Comfortable with direct client communication - Fluent communication in German and English Benefits - Flexible employment and remote work - International projects with leading global clients - International business trips - Non-corporate atmosphere - Language classes - Internal & external training - Private healthcare and insurance - Multisport card - Well-being initiatives

• Work closely with the Product Owner and delivery team to define features and drive them to a 'ready' state for development • Partner with the Product Owner to understand product intent and help shape and refine epics • Propose clear acceptance criteria and functional specifications that drive out ambiguity and guide development and testing • Lead backlog refinement activities to move features toward 'ready' state for sprint planning • Analyze features end-to-end to identify gaps, dependencies, risks, and optimization opportunities • Recommend pragmatic adjustments to scope or approach to meet requirements in the most effective way • Collaborate with architects and developers during refinement to validate feasibility and technical soundness • Support estimation by structuring requirements, mapping dependencies, and clarifying scope • Maintain high-quality internal documentation (flows, assumptions, business rules, definitions, and scope boundaries) • Support the Product Owner in shaping the roadmap and prioritization discussions • Work within the agile framework to keep the backlog healthy and the team aligned

• As a Senior .NET Developer, you will play a key role in designing, building, and delivering cloud-native applications that power scalable and reliable digital services. • Collaborate closely with architects, DevOps engineers, and cross-functional teams to develop solutions that leverage the best of Microsoft Azure technologies. • Lead the development of robust backend services using Microsoft .NET and Azure cloud technologies. • Design and implement event-driven architectures utilizing Azure Service Bus and Event Hub. • Build and maintain Azure Function Apps, App Services, and contribute to efficient CI/CD pipelines in Azure DevOps. • Ensure code quality through automated testing, code reviews, and adherence to software engineering best practices. • Optimize database performance and reliability through proficient use of SQL Server and related technologies. • Diagnose and resolve complex technical issues while ensuring system stability and performance. • Actively contribute to architectural decisions and propose scalable solutions for evolving business needs. • Drive a culture of ownership, accountability, and continuous improvement within the development team. • Work in an environment that values clean code, automation, and innovation.

• Design and develop backend services using Microsoft .NET and Azure cloud technologies, ensuring scalability, security, and performance. • Build and maintain rich, responsive front-end interfaces in Angular (v13+), following component-based design and reactive programming principles. • Integrate front-end and back-end systems to deliver cohesive, cloud-native applications. • Contribute to agile ceremonies and team collaboration, providing input on estimation, technical feasibility, and solution design. • Apply DevOps practices and maintain CI/CD pipelines for efficient, automated deployments. • Write clean, maintainable, and testable code, following established coding standards and best practices. • Implement unit and integration testing to ensure software reliability and maintainability. • Collaborate on code reviews, fostering knowledge sharing and continuous improvement within the team. • Troubleshoot and resolve issues proactively, demonstrating ownership and accountability. • Participate in continuous improvement initiatives, helping to refine development processes and delivery practices.

• Managing AI, infrastructure, cloud, platform, and technology delivery projects • Coordinating the work of AI Engineers, Infrastructure Engineers, Platform Engineers, DevOps Engineers, and other technical specialists • Monitoring project scope, timelines, risks, dependencies, and delivery quality • Maintaining effective communication with clients and internal stakeholders • Managing monthly settlements with clients and team members • Building and maintaining a healthy team culture through coaching, facilitation, and protecting the team from distractions • Overseeing project resource allocation and supporting team planning • Defining and measuring metrics to track team progress, goals, risks, and areas for improvement • Working effectively across multiple projects simultaneously, with strong context-switching skills • Helping with recruitment, onboarding, and offboarding processes • Supporting commercial and contractual aspects of cooperation with clients, including scope, assumptions, clauses, and delivery commitments

• Own, maintain, and continuously improve the Playwright-based test automation framework for Web and Backend applications • Design, develop, and execute automated test suites covering functional, regression, integration, and end-to-end scenarios • Contribute to the quality of Mobile applications by performing manual validation, exploratory testing, and supporting automation initiatives where applicable • Integrate automated tests into CI/CD pipelines to ensure fast and reliable feedback throughout the delivery process • Collaborate closely with developers, Product Owners, System Analysts, and architects to define quality requirements and ensure testability of new features • Participate in code reviews, manage test automation changes through Git and Pull Requests, and promote engineering best practices • Identify quality risks, analyze defects, and proactively propose improvements to testing processes, automation coverage, and overall product quality • Balance priorities across multiple concurrent initiatives while maintaining high standards of quality and delivery • Leverage AI-powered development tools to improve productivity, accelerate test creation, and optimize quality engineering workflows • Act as a quality advocate within the team by promoting automation-first principles, continuous improvement, and a strong ownership mindset.

Role Description We are looking for a talented Machine Learning Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential. - ML Systems & Deployment - Design and build scalable model training, deployment, and inference pipelines - Deploy models into production using CI/CD, containerisation, and cloud infrastructure - Ensure models meet performance, latency, and reliability requirements - MLOps & Lifecycle Management - Implement model versioning, monitoring, and automated retraining mechanisms - Detect and respond to model drift, data drift, and performance degradation - Establish operational standards for AI systems - Collaboration with Data Science & Product - Partner with Data Scientists to productionise and scale models - Work with Product and Engineering teams to integrate ML into customer-facing products - Translate experimental work into robust production assets - Governance, Security & Ethics - Ensure ML systems comply with privacy, security, and regulatory requirements - Support explainability, auditability, and responsible AI practices - Document models and operational decisions clearly Qualifications - 8+ years experience in ML engineering, MLOps, or software engineering roles - Strong software engineering skills in Python and cloud environments - Hands-on experience with ML platforms (MLflow, Kubeflow, SageMaker) and Kubernetes - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field - MS in Big Data, AI or relevant fields Benefits - Flexible employment and remote work - International projects with leading global clients - International business trips - Non-corporate atmosphere - Language classes - Internal & external training - Private healthcare and insurance - Multisport card - Well-being initiatives