Jobs at Nexaminds

Design, develop, and maintain scalable backend services and RESTful APIs using C# and .NET Core. Optimize Entity Framework Core and SQL Server data layers, define API specifications, troubleshoot performance and integration issues, contribute to CI/CD and architecture decisions, conduct code reviews, and mentor developers. Collaborate with product, frontend, QA, and engineering teams to deliver secure, maintainable, high-quality distributed applications.

Leads the design and implementation of complex web application features using .NET and Angular. Provides technical guidance to developers, develops user interfaces, business logic, and SQL Server stored procedures, and participates in agile planning, backlog refinement, estimation, debugging, and third-level support. Collaborates with business analysts to clarify requirements and delivers high-quality, user-friendly solutions.

Build and maintain cross-platform mobile applications using .NET MAUI and C#. Integrate RESTful APIs, backend services, and SQL databases; optimize performance, responsiveness, and memory usage; manage data persistence; debug mobile lifecycle issues; and collaborate with UX designers and backend engineers.

Build, optimize, and scale end-to-end data pipelines using Databricks, SQL, Python, and Spark. Improve ETL/ELT performance, reliability, and cost efficiency; implement data quality, governance, and security practices; troubleshoot distributed data workflows; collaborate with engineers, analysts, and stakeholders; and support cloud data platform migration and modernization initiatives.

Own software quality for a development team by designing test strategies, developing and maintaining Playwright UI and RestAssured.NET API automation, integrating tests into CI/CD pipelines, reviewing AI-generated tests, investigating failures, improving coverage, and collaborating with engineering, product, and QA teams.

Design, build, deploy, and scale Python-first backend services, REST APIs, data pipelines, and cloud-native applications on GCP. Maintain and enhance Java services, develop microservices and distributed systems, integrate AI and LLM capabilities, optimize infrastructure, and improve reliability. Identify and remediate application and dependency vulnerabilities, maintain test coverage, conduct code reviews, document systems, and collaborate with product, data, and infrastructure teams.

Designs and maintains scalable, secure AWS infrastructure; builds CI/CD pipelines; automates infrastructure with Terraform or CloudFormation; manages Docker and Kubernetes-based deployments; monitors reliability and performance; implements security, backup, and disaster recovery practices; troubleshoots incidents and performs root cause analysis; optimizes cloud costs; and collaborates with software engineering teams on deployment and operational improvements.

Design, build, deploy, and scale backend systems, microservices, data pipelines, and APIs using Java, Python, and GCP. Modernize cloud infrastructure, optimize performance and availability, integrate AI/LLM capabilities, and use GitHub Copilot to improve development efficiency. Identify and remediate application security vulnerabilities, conduct code reviews, maintain strong test coverage, and document technical solutions while collaborating with product, data, and infrastructure teams.

Designs and maintains reliable, scalable AWS infrastructure; automates provisioning and operational processes; implements observability, monitoring, and alerting; supports CI/CD; leads incident response and root cause analysis; improves SLOs, performance, availability, security, disaster recovery, and cloud costs; and collaborates with development and infrastructure teams to improve application reliability.

Designs, develops, and maintains scalable backend services and RESTful APIs using C# and .NET Core. Responsibilities include API-first development, SQL Server and Entity Framework data access, architectural collaboration, automated testing, CI/CD, troubleshooting performance and integration issues, code reviews, mentorship, and ensuring application quality, security, and maintainability.

Own and optimize Azure Databricks environments, including workspace provisioning, cluster and runtime management, security, governance, reliability, and cost optimization. Build infrastructure automation with Terraform, Bicep, and CI/CD pipelines. Maintain secure Azure networking, monitor platform performance, troubleshoot distributed computing issues, respond to high-severity incidents, and partner with Data Engineering teams to provide a scalable, secure, and reliable data platform.

Design, develop, deploy, and maintain MuleSoft APIs and integrations using Mule 4, Anypoint Platform, and API-led connectivity. Build DataWeave transformations, RAML/OpenAPI specifications, MUnit tests, security policies, monitoring, and error handling. Manage deployments across CloudHub, Runtime Fabric, and on-premises environments; contribute to CI/CD pipelines and code reviews. Collaborate with cross-functional Agile teams and mentor junior engineers.

Design, develop, and maintain enterprise applications using .NET, C#, Angular, SQL Server, Azure, microservices, Docker, and Kubernetes. Provide technical leadership, mentor developers, support Agile and Scrum activities, resolve complex production issues, contribute to architecture and distributed messaging decisions, and coordinate with product, business, and external teams to deliver reliable, scalable software.

Design, develop, test, and deploy production AI and machine learning applications, including LLM features, RAG pipelines, agent workflows, predictive models, and automation. Build data pipelines, integrate AI solutions with enterprise platforms, monitor production performance, and improve deployed systems. Collaborate with product, data, business, and engineering teams while documenting architectures and following responsible AI practices.

Design, operate, and improve AWS cloud infrastructure for large-scale customer-facing services. Build infrastructure automation, AI-driven operational workflows, patching and update pipelines, observability tooling, and incident-response processes. Troubleshoot production systems across Kubernetes, databases, regions, and cloud services while improving reliability and reducing on-call workload. Collaborate with distributed engineering teams on production readiness, postmortems, CI/CD, SLAs, and continuous improvement.

Lead hands-on modernization of a live Vue and PHP application. Build responsive, accessible, and performant interfaces; improve component architecture, CSS, state management, and front-end quality; integrate RESTful APIs; review code; resolve UI performance issues; and collaborate with product and UX teams. Use AI-assisted development tools to accelerate delivery and ramp quickly on legacy codebases.

Lead hands-on modernization of a live Vue and PHP application by converting legacy jQuery pages into accessible, responsive Vue components. Establish front-end architecture, component standards, CSS and state-management patterns, performance practices, testing, and code-review quality. Collaborate with product and UX teams, integrate RESTful APIs, resolve UI bottlenecks, and use AI-assisted development tools to accelerate delivery and navigate legacy code.

Build and enhance data engineering frameworks, scalable data solutions, centralized ETL logic, metric definitions, and concise data models. Develop self-service data tools supporting data science, internal applications, and organizational decision-making. Collaborate with cross-functional stakeholders, use AI coding agents such as Claude Code or Codex, and write production-level Python and SQL.

Design, build, and maintain scalable backend services and data pipelines primarily in Python while supporting and enhancing Java services on GCP. Integrate LLM/AI capabilities, enforce AppSec practices, modernize cloud infrastructure, conduct code reviews, and collaborate with product, data, and infrastructure teams to deliver reliable, tested backend solutions.

Lead complex, high-value sales cycles into enterprise retail and logistics accounts. Build and manage pipeline through prospecting and executive networking, close multi-stakeholder deals, meet senior-level quotas, and independently own a territory or vertical.