The RoleFusion Engineering is building the agentic workflow that will power how our entire engineering organization delivers software. We have stood up a suite of AI agents capable of delivering features, enhancements, and bug fixes—and we are now looking for Harness Engineers to operate that system at scale and help it continuously improve. This is not a role about building the harness from scratch. It is about becoming an expert operator of it: steering agents toward quality outcomes, translating product requirements into precise agent-ready specifications, reviewing and validating AI-generated solutions, and closing the feedback loop so the system gets smarter over time. You will be the manager in the loop—the engineer whose judgment, communication, and technical depth determines whether a feature ships with confidence. Harness Engineers at Fusion work across the full delivery lifecycle: collaborating with product and design to scope requirements, crafting the context and prompts that direct agents, reviewing output for quality and correctness, and partnering with other engineering teams as embedded technical contributors. No two days look exactly the same—and the discipline itself is evolving fast. If you are energized by operating at the frontier of how software gets built, this role is for you. Key Responsibilities• Translate feature requirements, enhancements, and product briefs into well-scoped, agent-ready specifications with clear acceptance criteria, constraints, and success conditions—including building Proof of Concepts (POCs) to validate approaches with Product Managers before full delivery begins • Operate a suite of AI agents to deliver working software—directing agents through the full delivery cycle from specification through review and validation • Review and validate agent-generated output for quality, correctness, edge case coverage, and alignment with product intent before solutions reach clients • Craft and iterate on prompts and context inputs that reliably direct agents toward high-quality outcomes across a variety of feature types • Collaborate with product managers, designers, and business stakeholders to refine requirements and ensure agents have the clarity they need to succeed • Work as an embedded technical contributor across product engineering teams, bringing agentic delivery capabilities to initiatives of varying scope and complexity • Identify recurring failure patterns in agent output and surface structured feedback to the platform team to improve harness guardrails and tooling over time • Champion quality and engineering standards in an AI-driven delivery model—advocating for rigor, transparency, and client-centered outcomes Knowledge, Skills, and Abilities• Deep, hands-on familiarity with AI coding agents and agentic workflows—including how to direct them effectively, where they fail, and how to recover when they do • Strong ability to write precise, unambiguous specifications: requirements, acceptance criteria, and constraints that agents can act on without additional clarification • Sharp technical judgment to evaluate AI-generated code and solutions—identifying gaps, regressions, and quality issues without necessarily writing the fix yourself • Experience with prompt and context engineering as a practical discipline: iterating on inputs to produce more reliable, higher-quality agent outputs • Ability to collaborate effectively across functions—translating between the language of product, design, and engineering stakeholders with ease • Comfort operating in ambiguity and adapting quickly as tooling, workflows, and best practices evolve in real time • Strong communication and documentation habits: the ability to articulate decisions, capture context, and make agent interactions auditable and reproducible Qualifications (Education and Experience)• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) • 5+ years of software engineering experience, with a strong emphasis on directing AI coding agents to deliver production-ready software—hands-on agent management is the core of this role, not traditional coding • Demonstrated track record of delivering features or enhancements using agentic or AI-assisted workflows—not just experimenting, but shipping • Deep understanding of how large language models and coding agents behave: context windows, non-determinism, failure modes, and how harness constraints improve reliability • Experience working in enterprise B2B SaaS environments with cross-functional product and engineering teams • Familiarity with CI/CD pipelines, version control workflows, and modern software delivery practices—even if agents are doing the implementation • Experience with Microsoft Azure or Salesforce platforms is a plus, but not required Compensation & BenefitsThe annual base salary range for this position is $150,000-165,000, depending on the candidate’s experience, qualifications, and relevant skill set. This role is eligible for executive-level bonus incentives and may participate in long-term incentive programs. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

• Build and ship features and services within your team's architecture • Help migrate rapidly-prototyped applications into production-grade, well-architected cloud services • Take on development tasks that carry some ambiguity, asking good questions to close the gaps • Participate in code reviews and uphold the team's standards for engineering and operational excellence • Write, review, and update technical documentation • Collaborate across the team to deliver quality work at a steady pace

Role Description This is a Go-to-Market Engineer role for someone who is AI-native first and foremost. It is not a software engineering job, no traditional coding required, but you will live in AI tools every day. Roughly half the role is campaign management, writing cold email copy, launching campaigns, and using data to monitor and optimize performance. The other half spans high-impact projects like new lead acquisition and data cleaning, performance analysis, building AI-powered copywriting systems at scale, and expanding into SMS. You will be given high autonomy and significant volume, with no task lists, and be expected to drive results and bring fresh ideas. There is a clear path toward a future marketing leadership role as the company scales into new channels and verticals. Responsibilities - Manage outbound campaigns end to end, writing copy, launching, and monitoring results - Use large volumes of outbound data to create and optimize campaigns - Source, clean, and verify new lead data as the business expands - Build AI-powered systems for copywriting and outreach at scale - Help extend the operation into SMS and new outreach channels - Operate autonomously, generating new ideas and driving measurable outcomes Qualifications - AI-native mindset, deeply fluent and creative with AI tools, valued above credentials - Proactive, autonomous, and creative, comfortable working without explicit direction - Roughly 2-5 years of experience as a guide, though hunger and ability outweigh tenure - Strong critical thinking and ownership over your work and its results - Comfort in a fully remote, fast-moving environment - Bonus: experience with outbound or high-volume marketing Compensation - $85K base - $120K-$150K OTE Company Description Our partner is a bootstrapped, profitable, high-volume outbound agency for financial services, connecting banks with small and mid-sized businesses that need loans, lines of credit, and working capital. Operating at rare scale, they send tens of millions of emails per month and book thousands of meetings on behalf of their clients. The entire operation runs on Claude and Claude Code, and the company is AI-native to its core. With roughly $400K in monthly revenue and a clear path to multiply that within the next year, this is a fast-growing, lean team of genuinely talented people.

Title: Senior Site Reliability Engineer Location: Austin, Texas, United States Job Description: Who We Are At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre. Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms. But what truly powers 2K is our people. We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work. The Team The 2K SRE team owns the infrastructure behind every player connection—All 2K game services, account platforms, CI/CD pipelines, and developer tooling spanning AWS, GCP, and on-premises data centers across multiple global regions. Global launch windows and live-service events push systems to their limits, and this team is expected to hold the line. Post-mortems here focus on systems, not people. Automation is the default answer to repetitive work. The infrastructure keeps millions of players connected, and the team takes that seriously! The Role The Senior SRE at 2K is a hands-on technical leader—shaping production infrastructure across multiple clouds and regions while partnering with network engineers, systems architects, and game studio developers. This is an ownership role: driving technical direction, influencing reliability from architecture review through production operation, and closing the gap between what engineering ships and what players experience. What You'll Do Platform & Infrastructure - Design, build, and operate scalable multi-cloud and hybrid infrastructure using Terraform, Pulumi, and GitOps workflows (ArgoCD, Flux). - Own Kubernetes platforms (EKS, GKE) end-to-end cluster lifecycle, multi-tenancy, networking (Istio, Cilium), and autoscaling. - Push progressive delivery patterns (blue/green, canary) across game service deployments. Observability & Reliability - Build and run the full observability stack: Prometheus + Grafana + Datadog. - Define SLI/SLO/error budget policies and build alerting that cuts through the noise. - Lead chaos engineering exercises to surface failure modes before players encounter them. - Drive incident response and post-mortems with a focus on systemic fixes and real follow-through. Automation, Security & Developer Experience - Eliminate toil through self-service provisioning, automated remediation, and intelligent scaling. - Harden CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD). - Embed security at the platform layer through secrets management (PasswordState, 1Password, and AWS Secrets Manager) and policy-as-code (OPA/Gatekeeper). Leadership - Promote SRE practices across 2K studios through reliability reviews, runbooks, and embedded collaboration. - Shape architectural decisions and author engineering RFCs that move the platform forward. Required Qualifications - Experience: 5+ years in SRE, Platform Engineering, or equivalent infrastructure work at production scale. - Kubernetes: Deep experience in cloud environments (EKS or GKE preferred), including networking, storage, and multi-cluster patterns. - Infrastructure as Code (IaC): Strong proficiency with Terraform and/or Pulumi; hands-on with Helm, Terragrunt, and GitOps tooling (ArgoCD or GitHub Actions). - Environments: Experience with modern and legacy tech, including AWS, GCP, VMware, and Bare metal servers. - Configuration Management: Server configuration using Ansible, Puppet, and AWS Systems Manager. - Observability: Experience with Datadog, Prometheus + Grafana, and OpenTelemetry; fluency in operationalizing SLI/SLO/error budgets inside engineering teams. - Software Engineering: Production-quality code in Go, Python, or TypeScript for tools, automation, and internal libraries. - Systems & Networking: Solid understanding of Linux internals, TCP/IP networking, DNS, and TLS proven enough to debug at the system level.Incident Management: Incident response and post-mortem leadership with a track record of systemic follow-through. Preferred Qualifications - Live-service game or large-scale consumer internet experience dealing with millions of concurrent users. - Deep knowledge of Service mesh (Istio, Cilium) and advanced Kubernetes networking. - Experience with FinOps and managing resources efficiently at cloud scale. - Experience with AI and Agentic Development. - Cloud certifications (AWS Solutions Architect, GCP Professional Cloud Architect, CKA/CKS, or equivalent). - Experience mentoring SREs or leading reliability working groups. As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation. Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. #LI-Hybrid