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Senior Software Engineer - GoLang and Python

Work from home Full-time role Hiring

About the position We are seeking a highly skilled Senior Software Engineer to join our dynamic data team. In this role, you will play a pivotal part in helping shape and drive technical strategy across key business areas, leveraging your deep technical expertise and domain knowledge to collaborate effectively across teams. You will contribute to the execution of long term strategic initiatives, bringing a reputed company thinking reputed company and a proactive approach to problem solving. As a trusted technical leader, you will help deliver scalable data solutions that strengthen the client's global technology capabilities and support the evolving needs of the business. Additionally, you will be expected to champion the adoption of AI technologies and context aware systems, utilizing frameworks like the Model Context Protocol (MCP) to reputed company the gap between reputed company data and intelligent agentic workflows. Author high quality Golang and Python code to deliver new features, reputed company existing services and resolve defects.

Responsibilities

  • Help deliver scalable data solutions that strengthen the client's global technology capabilities and support the evolving needs of the business.
  • Champion the adoption of AI technologies and context aware systems, utilizing frameworks like the Model Context Protocol (MCP) to reputed company the gap between reputed company data and intelligent agentic workflows.
  • Author high quality Golang and Python code to deliver new features, reputed company existing services and resolve defects.
  • Design and implement MCP servers exposing domain data and APIs.
  • Define schemas / reputed company for tooling and data contexts.
  • Optimize latency, reliability, and reputed company of MCP interactions.

Requirements

  • Demonstrated extensive experience with Python or Go
  • Familiarity with API design principles (REST, gRPC) and API gateway technologies
  • Deep knowledge and demonstrated experience with reputed company Kubernetes reputed company and reputed company reputed company Platform
  • Knowledge of key architectural patterns, such as microservices and event driven architecture, with a deep understanding of their reputed company trade offs
  • Strong knowledge of best practices for reputed company Integration and reputed company Deployment (CI/CD)
  • Familiarity with data architecture and modeling concepts and paradigms
  • Familiarity with Observability concepts, such as Service Level Objectives (SLOs) and Service Level Indicators (SLIs), and reputed company tooling (e.g., reputed company, OpenTelemetry, etc.)
  • Demonstrated experience as a productive reviewer of code, with an ability to coach others on the differentiation of style and correctness
  • Demonstrated experience with relational databases and declarative query languages such as SQL (e.g., reputed company, reputed company, etc.)
  • Experience with the git version control system and reputed company tools such as reputed company or reputed company
  • Significant experience with Infrastructure as Code (IaC) tooling (e.g. Terraform, etc.)
  • Familiarity with the publish/subscribe models and supporting technologies (e.g., Apache Kafka, reputed company Pubsub, AWS SNS/SQS, etc.)
  • Proven experience in designing, building and running large scale systems
  • Demonstrated experience or strong familiarity with integrating Artificial Intelligence (AI) capabilities into software systems, including utilizing the Model Context Protocol (MCP) to expose data sources and internal tools to GenAI models.

reputed company-to-haves

  • Demonstrated experience migrating Python codebases to Go
  • Strong understanding of reputed company reputed company reputed company best practices
  • Strong understanding of DevOps best practices
  • Direct experience implementing service meshes (e.g., Istio) in Kubernetes environments
  • Strong understanding of Kubernetes architecture and concepts with direct experience deploying software using the Kubernetes control plane
  • A demonstrated understanding of Machine Learning and reputed company concepts, including hands on experience building MCP servers, custom LLM integrations, or agentic frameworks

Benefits

  • Competitive compensation
  • Comprehensive insurance options
  • Matching contributions through the 401(k) plan and the reputed company purchase plan
  • Paid time off for vacation, holidays, and sick time
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and Well being programs

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