Principal Engineer, Enterprise Scalability

Jobgether; United States; Remote; USD 244,000 - 366,000; Full time

Benefits offered by this job

Remote work arrangement (US East Coast

Job summary

Partner Company is seeking a Principal Engineer, Enterprise Scalability in the United States. The role leads platform-wide initiatives to strengthen scalability, performance, reliability, and multi-region readiness for a high-growth, multi-tenant SaaS environment.

You will be a senior IC reporting to the VP of Engineering, shaping technical strategy through hands-on work, architecture leadership, and cross-team collaboration across production, profiling, and tooling.

Qualifications

• 12+ years of software engineering experience scaling multi-tenant SaaS.
• Deep expertise in performance engineering and distributed systems.
• Experience with large-scale workloads and migrations while maintaining reliability.
• Hands-on coding, testing, and coordinating safe implementation with owners.
• Strong architectural judgment and cross-team influence with practical standards.
• Excellent communication to engineers and executives about trade-offs and outcomes.
• Experience applying AI tools to engineering workflows with awareness of privacy and security.

Responsibilities

• Define enterprise scale-readiness targets for latency, throughput and capacity.
• Maintain a shared scalability scorecard aligned with SLAs and error budgets.
• Identify and remove bottlenecks using production data and benchmarks.
• Lead architectural initiatives for sharding, caching, and multi-region readiness.
• Oversee data migrations with safe rollout strategies in enterprise infra.
• Build reusable tooling for performance profiling and testing.
• Incorporate scalability reviews into release-readiness checks.
• Lead post-incident investigations to reduce recurrence.

Skills

Performance engineering

Distributed systems

Multi-region SaaS

Senior IC leadership

Profiling tools

AI tooling familiarity

Executive communication

Tools

Profiling tools

Benchmarking frameworks

Production systems

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, Enterprise Scalability based in the United States.

The Principal Engineer will lead platform-wide initiatives to strengthen scalability, performance, reliability, and multi-region readiness for a high-growth, multi-tenant SaaS environment. As a senior individual contributor reporting to the VP of Engineering, you will influence technical strategy through hands-on engineering, architectural leadership, and collaboration across teams. You will identify critical system bottlenecks, drive high-impact improvements, and establish measurable standards that prepare the platform for increasingly demanding enterprise workloads. Working across system design, profiling, implementation, and production rollout, you will help make performance engineering a repeatable part of everyday development. This role offers the opportunity to connect deep technical problem-solving with customer outcomes, enterprise growth, and long-term platform evolution.

Accountabilities

• Define enterprise scale-readiness standards by establishing measurable targets for latency, throughput, error rates, and capacity across critical workloads.
• Develop and maintain a shared scalability scorecard, aligning engineering teams around service-level objectives, error budgets, and performance expectations.
• Identify and eliminate major system bottlenecks using production data, profiling tools, reproducible benchmarks, and representative workload testing.
• Partner with service owners to implement performance improvements and validate their impact under realistic production conditions.
• Lead architectural initiatives involving sharding, partitioning, caching, back-pressure, workload isolation, and multi-region readiness.
• Design safe and reliable approaches for high-volume data migrations and evolving enterprise infrastructure requirements.
• Build reusable engineering tools, including lightweight benchmarks, profiling frameworks, and test environments that enable teams to assess performance independently.
• Introduce scalability reviews and proportionate release-readiness checks that identify risks early and support confident delivery.
• Lead technical investigations following major incidents, identify systemic causes, and coordinate lasting improvements to reduce recurring reliability issues.
• Apply AI-assisted tools and automation to engineering workflows, including profiling, workload modeling, synthetic traffic generation, anomaly detection, and guided incident response.
• Establish appropriate guardrails for AI-enabled engineering practices, evaluate their effectiveness, and measure their operational impact.
• Communicate technical priorities, architectural trade-offs, and delivery outcomes to engineering teams and executive stakeholders, connecting platform investments to customer experience and business objectives.
• Influence engineering practices across organizational boundaries, building alignment around shared outcomes and clear ownership.

Requirements

• 12+ years of relevant software engineering experience, including a demonstrated track record of scaling complex, multi-tenant SaaS platforms and delivering measurable production improvements.
• Deep expertise in performance engineering and distributed systems, including capacity planning, sharding, partitioning, caching, back-pressure, tenant isolation, and multi-region architectures.
• Experience managing large-scale workloads and migrations while maintaining system reliability, availability, and performance.
• Strong hands-on engineering skills, with the ability to investigate unfamiliar systems, develop and test hypotheses, write production code, and coordinate safe implementation with service owners.
• Excellent technical judgment and the ability to evaluate architectural trade-offs using evidence, balancing immediate performance constraints with broader platform investments.
• Proven ability to lead through influence, align multiple engineering teams, clarify ownership, and establish practical standards that support consistent execution.
• Strong communication skills, including the ability to explain complex technical decisions and their business implications to both engineering teams and executive audiences.
• Practical experience applying AI tools or automation to engineering workflows, with the ability to assess their value, limitations, privacy and security considerations, and operational risks.
• A disciplined, curious approach to emerging technologies, with an emphasis on validating results and measuring real-world impact.
• Ability to work remotely from the U.S. East Coast. Candidates must be able to travel to the Boston headquarters at least once per quarter.
• Willingness to travel up to 10% for onboarding, team meetings, client or partner engagements where applicable, and industry events. Travel is coordinated in advance.
• This is a senior individual contributor position with no direct reports, requiring technical leadership, hands-on delivery, and organization-wide influence.

Benefits

• Annual base salary: $244,000-$366,000 USD across U.S. locations. The actual offer depends on relevant skills, experience, education, training, and work location.
• Potential participation in an annual cash bonus plan.
• Equity compensation, subject to eligibility.
• Potential sign-on payments as part of the total compensation package.
• Comprehensive health, welfare, and wellbeing benefits, subject to eligibility.
• Additional compensation and benefit details can be discussed with the recruiter during the hiring process.
• Remote work arrangement for eligible candidates based on the U.S. East Coast.