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Senior Software Engineering Manager, Core Cloud Compute job near me in United States, Other / Non-US at Jobgether

Senior Software Engineering Manager, Core Cloud Compute

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineering Manager, Core Cloud Compute in the United States.

This role sits at the heart of a high-scale cloud engineering platform powering advanced scientific and engineering workloads across multiple global industries. You will lead the team responsible for core cloud compute orchestration systems that execute large-scale jobs across multi-cloud environments, directly impacting platform reliability, performance, and customer success. This is a highly technical leadership position combining people management, distributed systems expertise, and production-grade operational ownership. You will guide engineers working on mission-critical infrastructure while shaping how AI is integrated into modern software development workflows. The environment is fast-moving, deeply technical, and highly collaborative, requiring strong alignment with product, design, and customer-facing teams. This is a key leadership role for someone passionate about scaling complex systems and enabling engineering excellence at scale.

Accountabilities

In this role, you will lead the engineering organization responsible for core cloud compute orchestration, ensuring scalability, reliability, and technical excellence across distributed systems and production operations.

Lead and develop a high-performing engineering team, fostering technical growth, collaboration, and strong execution across senior and staff engineers.
Own the architecture, evolution, and scalability of the core job orchestration engine powering large-scale cloud compute workloads across multiple providers.
Drive operational excellence for production systems, including incident response, SLO management, reliability improvements, and reduction of operational toil.
Champion AI-assisted software development practices, integrating AI tools into the SDLC for coding, review, testing, and operational automation.
Partner closely with Product, Design, and cross-functional stakeholders to align technical direction with product strategy and customer needs.
Lead architectural discussions and technical decision-making on distributed systems, ensuring sound trade-offs for scale, performance, and reliability.
Balance reliability investment and product delivery priorities while ensuring long-term scalability of core platform infrastructure.

Requirements

This role requires strong engineering leadership experience combined with deep technical expertise in distributed systems, cloud infrastructure, and production-grade SaaS environments.

3+ years of experience managing high-performing software engineering teams (3–10+ engineers), including senior and staff-level ICs.
Strong technical background as a senior-level engineer or above, with deep expertise in scalable distributed systems.
Proven experience owning production SaaS systems with 24/7 operational responsibility, including incident management and SLO-driven operations.
Hands-on experience with major cloud platforms (AWS or Azure) and managed Kubernetes environments (EKS, AKS).
Demonstrated experience leading multi-quarter architectural initiatives with measurable impact on scalability, performance, or reliability.
Experience integrating and scaling AI tools within the software development lifecycle to improve engineering velocity and quality.
Strong communication skills with the ability to engage effectively with engineers, product leaders, and cross-functional stakeholders.
Preferred: experience in HPC, compute orchestration, or large-scale simulation platforms.

Benefits

Competitive compensation package
Equity participation opportunities
Comprehensive healthcare coverage
Flexible and remote-friendly work environment
Opportunity to work on cutting-edge cloud and AI-driven infrastructure
High-impact engineering leadership role shaping global-scale compute systems
Collaborative, mission-driven environment focused on innovation and technical excellence

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Software Engineering Manager, Core Cloud Compute in United States at Jobgether

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