We are seeking a Senior Software Engineer to design, build, and support a cloud-native, data-intensive enterprise platform focused on search, data processing, and scalable backend services.
In this role, you will develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services that support high-volume, mission-critical workloads. You will work with technologies including Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.
The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing. You are passionate about building reliable, scalable systems and enjoy solving complex engineering challenges in a collaborative environment.
Main Responsibilities:- Design and develop scalable backend services using Python.
- Build and maintain REST APIs supporting enterprise applications.
- Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
- Develop intelligent search and matching capabilities for large-scale datasets.
- Build event-driven architectures using Kafka and Azure Event Hub.
- Design high-throughput data ingestion and indexing pipelines.
- Integrate applications with Databricks and enterprise data platforms.
- Develop secure cloud-native applications on Microsoft Azure.
- Implement CI/CD pipelines and automated deployment processes.
- Monitor application health, logging, observability, and production performance.
- Optimize API response time, indexing performance, and infrastructure utilization.
- Participate in architecture, design reviews, code reviews, and production support.
- Collaborate with product managers, architects, data scientists, and engineering teams.
Hard Skills - Must have:- Strong Python backend development experience.
- Experience designing and operating production REST APIs.
- Strong experience with Elasticsearch in production environments.
- Experience with Databricks and Delta Lake.
- Experience building scalable search platforms.
- Experience with Kafka or enterprise event-streaming platforms.
- Experience deploying applications on Microsoft Azure.
- Experience with CI/CD pipelines and automated deployments.
- Experience troubleshooting production systems and performance issues.
- Strong understanding of distributed systems and microservices.
Nice to have:- Experience with AI-assisted search or intelligent matching platforms.
- Experience with machine learning integration.
- Experience with semantic search or vector search.
- Experience with Azure OpenAI or LLM integration.
- Healthcare or supply chain experience.
- Experience using GitHub Copilot or Codex.
Soft Skills:- Ability to anticipate, assess, and communicate risks and issues, defining and driving effective mitigation strategies across the team.
- Exceptional communication and stakeholder management; clarity in direction, alignment, and timely delivery of milestones.
- Proactive, accountable leadership that fosters ownership, high performance, and continuous improvement.
- Strong mentoring, facilitation in agile ceremonies, and comfort making architectural trade-offs visible to non-technical stakeholders.
