How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

Our platform AI provider may use the content we send it, your profile and the job posting, to improve its models. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Senior Staff Cloud Native Software Engineer at Nscale, New York, NY

Senior Staff Cloud Native Software Engineer at Nscale in New York, NY. $230,000 to $320,000 a year. Apply with swipeandhired.

About the Role (Job Purpose)

The Senior Staff Cloud Native Software Engineer is a pillar-level technical leader responsible for the long-term coherence, roadmap, and architectural quality of a broad area of Nscale’s cloud-native platform. This role spans multiple related teams and domains, ensuring that platform capabilities evolve in a consistent, scalable, and strategically useful way.

This role combines hands-on technical depth with broad architectural leadership. You will define multi-year direction across a platform pillar, lead major cross-team initiatives, and establish standards and engineering practices that are adopted widely. You will work through influence rather than formal authority, aligning teams around a common direction while remaining grounded in the realities of implementation and operations.

As a Senior Staff engineer, you are expected to solve ambiguous, high-leverage problems that cut across systems and teams. You will identify systemic technical risks, reduce fragmentation, and help multiple teams make better decisions by creating clarity, shared patterns, and a stronger architectural foundation.

What You’ll be Doing (Responsibilities)

Pillar Architecture & Roadmap

Define and evolve the technical roadmap for a broad platform pillar spanning multiple related teams or domains

Lead major architectural initiatives that affect multiple subsystems, services, or platform capabilities

Ensure architectural decisions made across teams contribute to a coherent long-term platform direction

Identify systemic weaknesses, duplication, and architectural drift, and drive corrective action before they become entrenched

Translate strategic product, infrastructure, and platform goals into clear technical direction for multiple teams

Standards, Patterns & Governance

Define and maintain pillar-wide standards for:

controller and operator design

API and CRD design

compatibility, versioning, and deprecation

observability, rollout, and operational behaviour

Ensure consistency across teams in Kubernetes usage, reconciliation semantics, service boundaries, and failure handling

Create shared abstractions, reference implementations, and engineering guardrails that increase consistency without adding unnecessary bureaucracy

Review designs across the pillar to prevent divergence, local optimisation, and accidental coupling between teams

High-Leverage Technical Leadership

Drive ambiguous, high-impact technical work that does not fit neatly within a single team’s ownership

Unblock multiple teams by resolving difficult technical trade-offs and clarifying architectural direction

Act as a senior technical advisor to engineering leadership for the platform pillar

Maintain enough hands-on engagement to validate major design choices, guide implementation, and retain technical credibility

Improve the effectiveness of teams through strong technical writing, design reviews, and decision-making frameworks

Mentoring & Capability Building

Mentor Staff and Senior engineers, helping grow technical leadership capability across the pillar

Raise the overall technical bar through architecture reviews, coaching, and knowledge sharing

Help shape how technical leadership operates across multiple teams by modelling strong judgement, influence, and clarity

Partner with managers and senior leaders to identify capability gaps and strengthen the organisation’s ability to execute complex technical work

About You (Skills / Qualifications)

Demonstrated experience designing and evolving large-scale Kubernetes-native platform systems across multiple teams or domains

Proven ability to define and lead architecture across a broad platform area with significant ambiguity and long time horizons

Strong track record of creating leverage through standards, roadmaps, shared abstractions, and cross-team technical leadership

Deep expertise in distributed systems, Kubernetes internals, control plane architecture, and production operational design

Experience leading major technical initiatives that span multiple teams and require sustained influence without formal authority

Strong judgement in balancing immediate delivery, platform consistency, operational realities, and long-term maintainability

Demonstrated ability to identify systemic technical risks and address them through architecture, standards, and technical alignment

Excellent written and verbal communication, with the ability to drive adoption of technical direction across a broad engineering area

Strong mentoring track record, particularly in helping senior engineers grow into Staff-level technical leaders

Strong grounding in Linux, networking, and infrastructure fundamentals, including sufficient depth to reason through complex cross-layer behaviour

Working knowledge of GPU-backed platforms or AI workload constraints is highly valuable

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Salary Range
$230,000 — $320,000 USD

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

Nscale does not accept unsolicited candidate submissions from recruitment agencies.