A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions. We are an infinitely curious team always seeking new possibilities and dedicated to creating the world's leading AI-powered cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts ensuring exceptional client experiences with a focus on delivery excellence and obsession over customer outcomes. This position involves contributing to HashiCorp's offerings now part of IBM which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security enhancing IBM's cloud solutions to ensure enterprises achieve efficiency security and scalability in their cloud journey.
About the Role:
We are seeking an exceptionally talented and experienced Senior Software Engineer to join our Runtime/Consul team. The Consul Engineering team builds the product that is the central nervous system for modern cloud-native infrastructure. This team is a high-leverage group of developers responsible for the entire "universe" surrounding the core Consul product.
In this role you will be responsible for designing building and maintaining the Consul’s core functionality that powers microservices. This is a highly influential individual contributor (IC) role where you will have a significant impact on our architecture technology choices and engineering best practices. You will be working on critical systems that require a deep understanding of distributed systems high availability fault tolerance and security.
Responsibilities:
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Lead the design and development of advanced features for Consul driving architectural decisions and providing technical leadership to the team.
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Contribute to the entire software development lifecycle from requirements gathering and design to implementation testing deployment and ongoing maintenance and support.
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Mentor and guide engineers fostering a culture of technical excellence continuous learning and best practices in code quality testing documentation and operational excellence.
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Lead technical discussions conduct code reviews and mentor junior engineers.
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Identify and resolve performance bottlenecks reliability issues and security vulnerabilities as well as troubleshoot complex issues.
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Stay informed about the latest advancements in service discovery service mesh and related technologies evaluating their applicability to Consul.
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Collaborate effectively with cross-functional teams including product management operations and other engineering teams.
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Contribute to both our Community edition and enterprise offerings.
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8+ years of professional experience in software engineering with a strong focus on designing and building distributed systems especially cloud infrastructure.
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Hands-on experience with Golang.
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Proven track record of building and operating highly available fault-tolerant and scalable systems in production environments.
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Strong understanding of network protocols operating systems and cloud infrastructure (AWS GCP Azure).
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Experience with containerization (Docker Kubernetes) and orchestration technologies.
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Familiarity with various data stores (e.g. SQL NoSQL KV stores) and messaging systems.
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Excellent problem-solving skills and the ability to tackle complex technical challenges independently.
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Strong communication and interpersonal skills with the ability to articulate technical concepts to both technical and non-technical audiences.
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Bachelor's or master's degree in computer science or a related field or equivalent practical experience.
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Experience with infrastructure as code tools (Terraform Ansible).
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Prior experience contributing to or maintaining open-source projects.
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Experience with distributed consensus algorithms (e.g. Raft Paxos) and their practical application.
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Experience with advanced AI methodologies including building MCP servers agent-agent communication and model deployment.
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Proficiency in developing ML techniques such as Retrieval Augmented Generation (RAG) and Supervised Fine-Tuning (SFT).