Senior Software Engineer (Go lang /ASP.Net Core)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Go lang / ASP.Net Core) based in India.

This role focuses on building and operating modern software solutions for critical frontline safety workflows used across global operations.
You will contribute to backend systems and cloud infrastructure designed to solve complex real-world problems at significant scale.
The position combines hands-on software development with architecture, distributed systems, DevOps, and production operations.
You will work extensively with Go, C#, ASP.NET Core, microservices, Kubernetes, Azure, messaging, and cloud-native technologies.
The environment values ownership, customer-centric thinking, rapid execution, and the ability to navigate ambiguous technical challenges.
You will collaborate closely with engineers through code reviews, technical design, documentation, and shared problem-solving.
This is an opportunity to make a tangible impact while working with a high-caliber team focused on continuous innovation and reliable technology.

• Design, develop, test, and maintain scalable backend software using Go and C# with ASP.NET Core.
• Apply Domain-Driven Design principles and contribute to microservice-oriented architectures.
• Build and maintain cloud-native services using Kubernetes, Docker Compose, REST APIs, gRPC, Protocol Buffers, and SignalR.
• Develop solutions using message queues, publish/subscribe messaging, Redis, and event-driven architectures.
• Implement offline synchronization and replication capabilities for distributed environments.
• Develop Windows services for standalone and monolithic deployment scenarios when required.
• Work with event-sourced data architectures and CQRS patterns.
• Implement secure authentication and authorization using OAuth 2.0 and OpenID Connect.
• Develop and operate solutions across Azure services, including AKS, Cosmos DB for MongoDB, Azure Service Bus, Azure Storage, Application Gateway, Azure Cache for Redis, and Notification Hubs.
• Support cloud infrastructure and DevOps practices, including infrastructure as code using tools such as Terraform.
• Implement and maintain monitoring and observability using Prometheus, OpenTelemetry, Grafana, Azure Monitor, and Log Analytics.
• Apply production monitoring and operational best practices to ensure system reliability and performance.
• Take ownership of technical problems, proactively identify blockers, and drive solutions through to completion.
• Develop customer-focused solutions that are intuitive and practical for frontline users.
• Contribute high-quality code, well-documented pull requests, technical proposals, and design documentation.
• Review peer contributions through pull requests and code walkthroughs while supporting engineering quality.
• Use AI-assisted coding tools effectively and take full responsibility for reviewing, validating, and improving AI-generated output.
• Reassess technical decisions when circumstances change and adapt solutions as systems and requirements evolve.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or another relevant technical discipline.
• 7+ years of professional software development experience spanning backend engineering, cloud infrastructure, and large-scale systems.
• Strong hands-on experience with Go and/or C# with ASP.NET Core, with the ability to contribute productively from day one.
• Solid understanding of Domain-Driven Design, microservices, distributed systems, and cloud-native application architecture.
• Experience with Kubernetes, Docker Compose, REST APIs, gRPC, Protocol Buffers, SignalR, messaging systems, and Pub/Sub architectures.
• Strong knowledge of Redis, event sourcing, CQRS, offline synchronization, and replication concepts.
• Experience with OAuth 2.0 and OpenID Connect and a strong understanding of secure application development.
• Hands-on Azure experience, particularly with AKS, Cosmos DB for MongoDB, Azure Service Bus, Azure Storage, Application Gateway, Azure Cache for Redis, and Azure Notification Hubs.
• Experience with Infrastructure as Code, such as Terraform, and modern DevOps practices.
• Familiarity with observability and monitoring technologies including Prometheus, OpenTelemetry, Grafana, Azure Monitor, and Log Analytics.
• Strong understanding of production monitoring, system reliability, performance, and operational best practices.
• Ability to work effectively in ambiguous environments where solutions may need to be developed without established best practices.
• Strong ownership mindset, with the ability to identify missing information, remove blockers, and drive work through to completion.
• Customer-centric approach and ability to understand technical problems from the perspective of frontline users.
• Strong collaboration and communication skills, including writing clear technical documentation and well-structured pull requests.
• Experience conducting code reviews and technical walkthroughs.
• Ability to use AI coding tools responsibly and effectively while understanding their strengths, limitations, and appropriate applications.

Benefits:

• Full-time opportunity based in Pune, India.
• Hybrid office and remote working model.
• Opportunity to work on technology supporting critical frontline safety operations at global scale.
• Hands-on exposure to Go, ASP.NET Core, Azure, Kubernetes, microservices, distributed systems, and modern DevOps practices.
• Opportunity to work with advanced cloud, messaging, observability, and event-driven technologies.
• Fast-paced environment focused on innovation, customer-centricity, and continuous improvement.
• Collaboration with a highly skilled engineering team.
• Opportunities to contribute to technical architecture, engineering practices, and production systems.
• Negligible travel expected.
• Relocation assistance available within India.
• Access to flexible working arrangements and collaboration spaces.
• Opportunities for professional learning, development, mentoring, and knowledge sharing.
• Inclusive environment with employee communities and development opportunities.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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