Software Engineer II - Amplify Demos

Boston, MA (On-site)

$116K/yr – $174K/yrSenior Level3+ years expFull time

Posted 3 months ago

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Job Summary

Drive end-to-end internal tooling and AI-enabled workflows for multiple teams, owning features from design to deployment.

  • Must-have: 3–5+ years building scalable SaaS or internal tools.
  • Standout: AI-forward development, on-call ownership, and cross-functional collaboration.

Job Description

Responsibilities

  • Design, build, and maintain internal products and platforms, including internal web applications, APIs, data and event pipelines, and AI-powered workflows used daily by Sales, Marketing, Customer Service & Success, R&D, and Finance teams. You’ll own features and small-to-medium projects end-to-end, from design through deployment and iteration.
  • Execute and deliver projects with increasing autonomy and complexity. You will decompose projects into actionable workstreams, question and refine requirements, and collaborate with teammates to ship high-quality solutions that meet reliability and performance expectations.
  • Translate real operational problems into pragmatic, maintainable software. You’ll work closely with internal customers to understand their workflows and constraints, then design AI-forward tools and automations that measurably improve throughput, quality, and reliability of their work.
  • Contribute to the technical and architectural evolution of Amplify’s systems. You’ll help evolve our internal platforms, services, and AI workflows, contributing to design decisions, patterns, and improvements that keep our systems scalable, observable, and reliable as usage grows.
  • Own the quality and operational health of the code you ship. You’ll be responsible for the full lifecycle of your work – implementation, testing, deployment, monitoring, and follow-up improvements, including debugging issues in development and production, and participating in on-call rotations for the systems your team owns.
  • Use modern AI tools as part of your day-to-day engineering workflow. You’ll leverage AI for coding, testing, documentation, and experimentation (e.g., LLMs, AI coding assistants, internal AI platforms), and share what works well so the team can continuously improve its AI-augmented workflows.
  • Improve the developer experience and engineering practices on Amplify. You’ll help refine our tooling, tests, CI/CD, and automation, and contribute to shared patterns and utilities that make it easier for Amplify to build internal tools and workflows consistently and at high quality.
  • Collaborate deeply with Product, Design, Data, and operational stakeholders. You’ll contribute to technical discovery, help evaluate trade-offs, and ensure we’re solving the right problems with clear success criteria, tying your work directly to measurable business and customer outcomes.

Requirements

  • BA or BS Degree in Computer Science, related field, or equivalent experience.
  • 3-5+ years of hands-on software development experience building and operating highly available, full-stack or backend-heavy SaaS products, platforms, or internal tools at scale, or have demonstrated equivalent proficiency and impact.
  • You reliably execute and deliver feature and project work autonomously.
  • You’re comfortable taking a well-defined feature or small-to-medium project from requirements and design through implementation, testing, rollout, and maintenance, asking for guidance when needed but not waiting to be unblocked.
  • You can question and refine requirements and drill down to core problems.
  • You’re able to work with PMs and stakeholders to clarify scope, identify edge cases, and propose pragmatic solutions that balance complexity, risk, and impact.
  • You have solid experience in at least one area of modern web architecture (e.g., backend services, data pipelines, internal tools, integrations, or AI-enabled workflows) and a good understanding of how to design systems that are secure, scalable, and maintainable.
  • You are an AI-forward engineer. You are comfortable using AI tools (e.g., OpenAI/Anthropic/Gemini models, Claude Code, Cursor, Copilot, etc.) to accelerate development, improve code quality, and explore solutions, and you’re excited to deepen your AI fluency over time.
  • You care about operational excellence. You’re comfortable debugging issues in development and production, adding logs and metrics, improving tests, and working within SLOs and reliability goals. You’re willing to participate in on-call rotations and follow through on incidents and RCAs for your areas of ownership.
  • You are a strong communicator and collaborator. You contribute thoughtfully in technical discussions at the project level, write clear tickets and lightweight design docs, and keep your team and stakeholders up to date on progress, risks, and trade-offs.
  • You enjoy working on small, autonomous, agile teams and shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.
  • You like to question convention and proactively find ways to improve, whether that’s workflows, architecture, tooling, or team processes. You’re intrinsically motivated to drive incremental improvements that deliver value to the business.

Nice to Have

  • Experience building internal tools, platforms, or automations for developers and/or non-technical stakeholders, with a track record of improving reliability, productivity, or operational efficiency.
  • Hands-on experience in full-stack environments, including diagnosing and improving application performance, database queries, and complex, multi-service workflows.
  • Practical experience building or integrating AI-powered systems and agents; e.g., workflows using LLM APIs/SDKs, agentic or automated workflows, RAG pipelines, or evaluation/monitoring frameworks.
  • Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.

Benefits

  • comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
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Klaviyo

3.7 Glassdoor

Klaviyo (NYSE: KVYO) is the B2C CRM. Powered by its built-in data platform and AI, Klaviyo combines marketing automation, analytics, and customer service into one unified solution, making it easy for businesses to know their customers and grow faster. Klaviyo (CLAY-vee-oh) helps over 176,000 brands like Mattel, Glossier, Daily Harvest, and Liquid Death deliver 1:1 experiences at scale, improve efficiency, and drive revenue.

Founded in 2012
Boston, Massachusetts, USA
2.9K employees (330 in marketing)
67% recommend to a friend
74% CEO approval

Traffic Signals

Monthly Visitors
7.6M
Monthly Google Ads Budget
$1.1M
Traffic Source Mix
Search
16.9%
Direct
77%
Referral
4.3%
Social
1%
Paid
0.7%

Headcount Trend

Current headcount: ~2.8K

Marketing Team

Marketing Team Size
256 (9% of company)
Median Career Experience
14 years
Median Tenure
2.4 years
Marketing Roles Posted (Last 30 Days)
11

Funding

Total Funding
$1.3B
Last Raise
$195.1M
Post IPO Secondary, 7 months ago

Funding History

  • Aug 2025
    Post IPO Secondary • $195.1M
  • May 2025
    Post IPO Secondary • $372.9M
  • Sep 2022
    Secondary Market

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