Top Tech Jobs & Startup Jobs

Develop and maintain automated and manual testing strategies for front-end, backend, and API systems. Integrate quality assurance throughout the software lifecycle and CI/CD pipelines, perform functional, performance, non-functional, and security testing, and optimize scalable test frameworks. Collaborate with distributed development teams, technical leaders, and clients on enterprise software projects.

Leads the global People Operations function, including its operating model, service delivery, systems, data, governance, compliance, and AI-enabled transformation. Partners with senior commercial and functional leaders on workforce planning, organization design, talent, retention, and organizational effectiveness. Owns strategic People projects, cross-functional transformation, due diligence readiness, and scalable employee lifecycle operations across multiple jurisdictions.

Design, implement, and maintain scalable Azure cloud infrastructure, deployment architectures, CI/CD pipelines, Kubernetes environments, monitoring frameworks, and Infrastructure as Code. Apply security best practices, optimize performance and observability, automate infrastructure management, collaborate with development and client teams, advise stakeholders, and support timely project delivery.

Design, implement, and maintain AWS cloud infrastructure, deployment architectures, CI/CD pipelines, high-availability systems, monitoring frameworks, and Kubernetes-based applications. Automate infrastructure with Terraform or CloudFormation, apply security best practices, optimize performance and scalability, and collaborate with development teams and clients to improve deployment workflows and deliver projects effectively.

Lead and manage software engineering teams, oversee technical delivery, resolve blockers, and maintain development, DevOps, testing, and agile best practices. Work directly with clients to translate requirements into technical briefs, make architectural decisions, and ensure scalable, secure, maintainable applications. Provide project updates, mentor engineers, and support effective decision-making across distributed teams.

Leads and manages software engineering teams, oversees technical delivery, resolves blockers, and ensures engineering, DevOps, testing, and agile best practices. Works directly with clients to translate requirements into technical briefs, shapes scalable and secure architectures, and communicates project status to stakeholders. Provides mentorship, architectural guidance, and technical feedback across distributed enterprise development projects.

Design, build, maintain, and optimize secure, scalable applications for enterprise clients. Responsibilities include data storage design, performance optimization, requirements analysis, source control and deployment practices, testing, and collaborative development through pull requests and code reviews. The role partners with distributed client teams and Technical Leaders to deliver projects effectively.

Design and build scalable applications using Golang, including component development, data storage, performance optimization, testing, automation, and deployment. Collaborate with clients and distributed engineering teams to analyze requirements, deliver real-world solutions, and maintain high technical standards. Support source control, CI/CD, code reviews, and project execution in agile environments while contributing to secure, high-performance digital products.

Design and build scalable applications using Golang, contributing to component development, data storage, performance optimization, testing, deployment automation, and client solutions. Collaborate with technical leaders, clients, and distributed engineering teams to analyze requirements and deliver high-quality software. The role also involves code reviews, pull requests, version control, agile delivery, CI/CD, and maintaining technical quality standards.

Lead solution strategy and pre-sales for enterprise AI engagements: define architectures, run discovery workshops, build POCs/reference architectures, align delivery, support deal shaping, and drive AI practice growth across Sales, Marketing and Delivery.