Role Description We are seeking a Senior Platform Engineer to join our technology team, with a focus on backend systems, cloud-native platforms, and data infrastructure. This role is ideal for an engineer who comes from a data platform, backend, or analytics engineering background and has developed deep expertise operating those systems in AWS at scale. It is especially well suited for engineers who have built or operated data platforms and are looking for deeper ownership of the cloud and backend systems that power them. You will work at the boundary between data platforms, application engineering, and cloud infrastructure, helping Plus Power build reliable, scalable systems that support asset operations, analytics, and power market participation. This is a hands-on role with meaningful technical ownership: you will write production code, shape system architecture, and ensure the systems you build are observable, resilient, and operable in real-world conditions. You will focus on bringing transparency, efficiency, and consistency to our cloud systems, ensuring secure and flexible deployment patterns, and advocating for best practices, all while contributing directly to business-critical solutions. In this role, your impact goes beyond ticket-based support or reactive operations. You will lead and own solutions end-to-end, from design and implementation through deployment, monitoring, and ongoing evolution. You will be working across disciplines to continuously improve the platforms and systems our teams rely on. Qualifications - 5+ years of professional experience across platform engineering, backend engineering, data engineering, CloudOps, or SRE roles. - Strong backend development experience, including building and operating production services or internal platforms. - Prior experience on data platform, analytics, or ML infrastructure teams preferred. - Significant hands-on experience with AWS, including services such as VPC, IAM, EKS/ECS, RDS, S3, and related managed services. - Familiarity with event-driven architectures, messaging systems, or streaming data patterns preferred. - Experience with Infrastructure as Code (Terraform and/or CloudFormation). - Experience operating containerized workloads using Docker and Kubernetes in production environments. - Solid understanding of CI/CD, Git-based workflows, and automated testing. - Strong operational mindset, including comfort owning production systems and participating in on-call rotations. - Experience building or evolving internal developer platforms or shared infrastructure services preferred. - Experience working with relational databases and data-intensive systems. - Excellent written and verbal communication skills, with the ability to present complex technical information to diverse audiences. - Demonstrated ability to work collaboratively and effectively in a cross-functional environment with both technical and non-technical team members who are geographically dispersed. - Proven ability to stay connected and maintain communication across distributed teams in hybrid or remote settings. Requirements - Design, build, and operate backend services, internal platforms, and shared infrastructure that enable data pipelines, analytics, and application workloads. - Apply a strong focus on CI pipeline design, operational reliability, and cloud cost awareness as first-class engineering concerns. - Write high-quality, maintainable, and testable production code, primarily in Python. - Partner with application and data engineers to define service boundaries, APIs, data contracts, and operational requirements. - Contribute to architectural decisions with an emphasis on long-term maintainability, reliability, and clarity. - Architect and operate AWS-based, cloud-native systems with an emphasis on reliability, security, performance, and cost efficiency. - Own the full lifecycle of platform and service components, including design, implementation, deployment, observability, and incident response. - Build and maintain Infrastructure as Code using Terraform to manage cloud assets and operational workflows. - Enable and support data platforms, analytics systems, and ML-adjacent workloads through reliable backend and platform services. - Design systems that integrate with relational databases, object storage, and event-driven data flows. - Work closely with data engineers and analysts to ensure systems meet requirements for data correctness, availability, and performance. - Set and evolve best practices for cloud-based data management through platform design, automation, and standards. - Build and evolve CI/CD pipelines that test, validate, and deploy both application and infrastructure code. - Establish and maintain observability standards using metrics, logs, and alerts. - Participate in on-call rotations and lead root cause analysis and long-term system improvements following incidents. Benefits - Highly competitive total compensation from one of North America’s leading energy storage developers, owners, and operators. - Flexible, work from home or hybrid work from Plus Power’s offices in San Francisco, Houston, Chicago, Seattle, New York, Palm Beach, and Birmingham. - The expected salary range for this position begins at $150,000. - This position is also eligible to participate in our annual bonus program. - Plus Power offers a competitive and comprehensive benefits program, unlimited vacation, flexible remote work, work from home stipend, educational assistance, parental leave, and a highly engaging company culture with opportunities for in-person connection and learning and growth.

• Support Apache Flink and Iceberg v3 specification work, compatibility improvements, authentication gap fixes, and community-approved feature implementation; • Add support for Trino and Hive4 in a custom IMetastoreClient implementation for BigLake; • Implement compatibility test cases for Apache Iceberg across languages and projects; • Work with private repository code that is being prepared for open sourcing; • Contribute to technical design, implementation, testing, and review activities across the OSS support scope; • Collaborate with engineering stakeholders and align implementation details with community consensus;

• Support Apache Flink and Iceberg v3 specification work, compatibility improvements, authentication gap fixes, and community-approved feature implementation • Add support for Trino and Hive4 in a custom IMetastoreClient implementation for BigLake • Implement compatibility test cases for Apache Iceberg across languages and projects • Work with private repository code that is being prepared for open sourcing • Contribute to technical design, implementation, testing, and review activities across the OSS support scope • Collaborate with engineering stakeholders and align implementation details with community consensus where needed.

• Develop and implement solutions using Java and Camunda BPM. • Model and automate business processes using the Camunda platform. • Collaborate with product and design teams to understand requirements and propose technical solutions. • Perform testing and ensure code quality. • Participate in code reviews and contribute to development best practices. • Monitor and optimize the performance of developed applications. • Document processes and implemented solutions.