Principal Software Engineer, Anaplan

• A degree in Computer Science, Engineering, or a related field is preferred, but equivalent practical experience and contributions to the field may also be considered
• Experience: Professional experience in software engineering, with experience in leadership or Principal Engineer role. Extensive experience in designing, developing, and deploying large-scale systems
• Technical Expertise: Deep knowledge of software engineering principles and best practices, particularly in Python, Java, or similar backend technologies. Expertise in designing and implementing distributed systems and cloud-native architectures
• Cloud Platforms: Extensive experience with cloud platforms such as AWS, GCP, or Azure. Expertise in designing and implementing scalable, secure, and resilient cloud-native systems using AWS Lambda, EC2, S3, Kubernetes, and serverless architectures
• Distributed Systems: Strong understanding of distributed systems, microservices architectures, and the challenges of building high-throughput, low-latency systems. Hands-on experience with tools like Apache Kafka, RabbitMQ, Apache Pulsar, and other messaging systems for real-time data streaming
• DevOps and Infrastructure Automation: Expertise in DevOps principles, infrastructure-as-code, and automation tools such as Terraform, Ansible, Docker, and Kubernetes. Experience with building, maintaining, and optimizing CI/CD pipelines
• Big Data & Data Engineering: Strong background in processing large datasets and building data pipelines using platforms like Apache Spark, Databricks, Apache Flink, or similar big data tools. Experience with batch and stream processing
• Security: In-depth knowledge of security practices in cloud environments, including identity management, encryption, and secure application development. Experience with securing APIs and cloud-native systems
• Problem Solving & Debugging: Exceptional problem-solving skills, with the ability to debug and resolve complex technical issues quickly. Ability to diagnose system performance bottlenecks and improve system efficiency
• API Design & Microservices: Extensive experience with designing RESTful APIs and building microservices architectures. Knowledge of GraphQL is a plus
• Leadership & Mentorship: Strong leadership skills with the ability to lead technical initiatives, mentor team members, and drive architectural decisions. Proven ability to inspire and guide teams in best practices, problem-solving, and technical innovation
• Collaboration & Communication: Excellent communication skills, with the ability to collaborate across teams and effectively communicate technical concepts to non-technical stakeholders. Strong interpersonal skills for building relationships with business teams, leadership, and cross-functional teams

Desirable

• Strategic Technical Leadership: Lead the long-term technical direction of the engineering team, driving the evolution of scalable, high-performance systems. Collaborate with senior leadership and cross-functional teams to define and execute the company’s technical vision, aligning engineering efforts with broader business goals
• Architecting Cloud-Native Systems: Design and implement cloud-native architectures that are globally scalable, resilient, and optimized for high availability, disaster recovery, and low latency. Lead the development of modern, secure, and scalable systems using AWS, GCP, Azure, or similar cloud platforms
• Innovation and Research: Drive innovation by researching and integrating cutting-edge technologies into the tech stack. Stay up-to-date with the latest trends in software engineering, cloud computing, and data processing. Champion the adoption of best practices and innovative solutions to keep the company ahead of the technological curve
• High-Performance Systems Design: Lead the design and optimization of systems for performance, scalability, and reliability. Focus on streamlining workflows and ensuring high-throughput, low-latency operations for complex distributed systems
• Mentorship & Team Leadership: Provide technical leadership and mentorship to junior, mid-level, and senior engineers. Promote best practices in coding, architecture, and system design. Foster a culture of ownership, innovation, and continuous improvement
• Cross-Departmental Collaboration: Collaborate with product managers, designers, and other engineering teams to ensure alignment between engineering solutions and business requirements. Influence product roadmaps and technical priorities based on deep technical insights
• Security and Compliance: Lead the design of secure software systems, ensuring compliance with data privacy regulations and implementing security best practices in development, deployment, and maintenance processes
• CI/CD and DevOps: Own the design, development, and optimization of CI/CD pipelines. Integrate automated testing, infrastructure management, and deployment processes to ensure continuous delivery and reliability. Champion DevOps best practices and infrastructure-as-code using tools like Terraform, Docker, and Kubernetes
• System Monitoring and Performance Tuning: Establish and maintain monitoring, logging, and alerting solutions for system health, performance, and security. Continuously analyze and tune system performance to optimize resource utilization and reduce latency
• Collaboration and Communication: Work closely with senior leadership, business stakeholders, and other departments to drive alignment and ensure the timely delivery of key initiatives. Communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Documentation and Knowledge Sharing: Contribute to clear, concise documentation on system architecture, processes, and best practices. Foster knowledge-sharing across teams through technical talks, documentation, and internal tools

• Flexible working
• Work from home opportunities
• Health insurance

Total funding: $299.9m

Anaplan provides cloud-based planning software across various use cases. The Anaplan platform replaces the patchwork of outdated tools (from the likes of Oracle, SAP and IBM) that don’t interact well with each other, and does away with the manual planning processes that are often overly complex, inefficient and costly.