Jobs at Software Mind

Support finance team with P&L, cash flow and KPI reporting, build and maintain financial models, perform variance analysis, assist budgeting/forecasting, and provide accounting and audit support while collaborating cross-functionally to inform decisions.

Develop and maintain a cloud-native data ecosystem focusing on metadata management and data quality, integrating solutions with analytical tools, and collaborating with various teams.

Join an agile international team to develop backend .NET services, maintain APIs, integrate systems, write clean testable C# code, use AI tools responsibly for coding assistance, participate in code reviews and debugging, and learn from experienced developers.

Build and maintain a SOAR-based incident response automation program (Torq or similar), create playbooks and automated SOC workflows, tune SIEM and SOAR detections, integrate APIs and scripting for automation, support on-call incident escalations, and perform general security team tasks in a lean, fast-paced environment.

Lead and mentor distributed Quality Engineering teams to design, execute, and automate test strategies for web and SaaS products. Build and maintain automated frameworks and CI/CD testing pipelines, leverage LLMs and AI agents for test case generation, defect triage, regression analysis, and create AI-powered test harnesses interacting with APIs, UIs, and backends. Coordinate testing initiatives with stakeholders and optimize AI-enabled testing platforms and pipelines to improve coverage and reduce manual effort.

Senior Full Stack Engineer contributing hands-on to customer-facing features, writing performant testable code, guiding technical decisions, mentoring peers via code reviews and pair programming, and deploying production services across Java/Kotlin, Elixir/Rails, React, GraphQL, and event-driven systems.

Provide first-line platform and cloud infrastructure support for internal engineering teams, troubleshoot deployments, networking, and CI/CD, perform root cause analysis, automate operational tasks, build and maintain Terraform IaC, develop tooling in Python/Bash, design and maintain scalable AWS infrastructure, collaborate on platform architecture, and mentor engineers to improve reliability and developer experience.

Design, develop and maintain scalable Python backend services and REST APIs for a data-intensive cybersecurity platform. Build data ingestion and processing pipelines, contribute to cloud-native architecture, CI/CD and IaC, improve system design and data modelling, perform code reviews, automated testing, and mentor junior engineers.

Join a cross-functional product team as a Senior Backend Engineer to design and implement resilient, secure .NET microservices. Responsibilities include building and maintaining APIs, diagnosing performance issues, writing comprehensive tests, addressing security vulnerabilities, interpreting code metrics to improve maintainability, and collaborating directly with clients while staying current with technical trends.

Hands-on senior DevOps/Cloud engineer working primarily on AWS with multi-cloud exposure. Build and maintain Terraform-based infrastructure, operate EKS/Kubernetes, create CI/CD pipelines, support containers (Docker, Helm), production troubleshooting, monitoring, and documentation for client projects.

Manage, monitor, and support GCP and Azure environments for managed-services clients. Troubleshoot infrastructure incidents, configure networking and security, manage resources and IaC with Terraform, maintain CI/CD pipelines, and produce documentation and runbooks while collaborating with client teams.

Design and build reusable Databricks Lakehouse PySpark pipelines, implement data models (fact/dimension, SCD Type 2), enable incremental/idempotent loads, optimize performance, implement event-driven integrations, collaborate on Azure cloud resources, and improve data platform architecture.

Lead development of a scalable data platform for analytics and ML. Define roadmap, translate requirements into technical backlog, work with engineers on architectures, pipelines, storage, MLOps, observability, and ensure data readiness for analytics and models while driving agile delivery.

Lead design and build of cloud-native backend services using Microsoft .NET and Azure. Implement event-driven architectures with Service Bus/Event Hub, develop Azure Functions and App Services, maintain CI/CD pipelines, ensure code quality through testing and reviews, optimize SQL Server databases, troubleshoot complex backend issues, contribute to architecture decisions, and promote ownership and continuous improvement in an agile environment.

Work with the Product Owner and delivery team to define features, produce clear testable acceptance criteria and functional specs, lead backlog refinement toward "ready", analyze end-to-end requirements, support estimation and roadmap prioritization, and maintain internal documentation within an agile framework.

Senior .NET and Angular developer building cloud-native customer-care applications: design and develop scalable Azure-based backend services, implement Angular (v13+) frontends, integrate APIs, maintain CI/CD and DevOps pipelines, write tests, perform code reviews, troubleshoot issues, and collaborate within an agile cross-functional team.

Lead test automation for Web, Backend, and Mobile within a cybersecurity platform. Own and evolve a Playwright-based framework, develop and run automated suites, integrate tests into CI/CD, perform mobile exploratory/manual testing, collaborate with cross-functional teams, promote automation-first quality practices, and leverage AI tools to accelerate testing and productivity.

Build and maintain scalable, secure front-end applications using React and TypeScript. Implement design systems and component libraries, create responsive mobile-first UIs, integrate with .NET REST APIs, and deploy using AWS frontend services (CloudFront, S3, Amplify). Collaborate with stakeholders to deliver polished, production-ready interfaces.

Build, deploy, and maintain Sitecore-based web platforms and AWS-powered applications. Develop scalable services, integrations, and localized multi-lingual solutions using serverless, event-driven, and microservices architectures. Implement RESTful and GraphQL APIs, work with MongoDB/DocumentDB/DynamoDB, handle geospatial data, and contribute to front-end React components. Use Docker and Kubernetes in enterprise cloud environments.

Design, deploy, and maintain scalable ML training, deployment, and inference pipelines. Implement MLOps practices (versioning, monitoring, retraining), ensure model reliability, integrate models with product teams, and enforce governance, security, and responsible AI standards.