Staff Software Architect
Quick Summary
We are a leading Product Development, Artificial Intelligence,
We are a leading Product Development, Artificial Intelligence, and Team Augmentation studio with our eyes set on the future that crafts better futures for humanity by relying on cutting-edge technology to create impressive digital products and solutions that widen your global reach. Our human-centric approach guides us every step of the way and we're proud of the impact our products make.
We're hiring a Staff Software Architect to own the end-to-end design of a complex software product. The role spans the full architectural surface — data, services, integrations, infrastructure, security, reliability — and sits at the intersection of engineering, product, and the customer environments the product runs inside. The right person treats constraints like multi-tenancy, legacy interoperability, cost, and regulatory exposure as first-class design inputs, not afterthoughts.
This is a hands-on architect role, not a diagrams-and-handoffs role — but diagrams and decision records are part of the job. You communicate architecture clearly through C4 models (context, container, component) and lightweight ADRs that capture decisions, context, and trade-offs so the team doesn't re-litigate them six months later. You also write code on critical paths, review designs and PRs, take ownership when the parts you designed misbehave in production, and push back when a feature request would compromise the architecture. You're equally comfortable working in the abstract (RFCs, system models, trade-off analysis) and in the concrete (debugging a memory leak, profiling a hot path, rewriting an integration that's silently drifting).
You're comfortable in ambiguity. You can join a product mid-flight, form a sharp view of what's load-bearing and what's incidental, and propose a direction the team can rally behind. You treat AI-augmented engineering as a force multiplier you wield with judgment — neither a gimmick nor a substitute for thinking.
Required Qualifications
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10+ years building production distributed systems, with at least 3 years in a Staff, Principal, or Architect role
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Track record of owning architectural decisions end-to-end and being on the hook when they fail — not just authoring RFCs
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Demonstrated fluency communicating architecture through C4 models and capturing decisions in ADRs (or equivalent decision-record discipline)
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Strong fluency in JavaScript/TypeScript and Python; comfortable reading and contributing across multiple languages and stacks
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Deep AWS architecture expertise — has designed and operated non-trivial multi-tenant systems across compute (ECS/EKS/Lambda), data (RDS, DynamoDB, S3), networking (VPC, ALB, PrivateLink), and identity (IAM, KMS, Secrets Manager); able to reason about cost, blast radius, and failure modes at the service level, not just the diagram level
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Production experience with Infrastructure as Code — Terraform, CloudFormation/CDK, or Pulumi
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Fluent in modern CI/CD practice — has designed and owned pipelines (GitHub Actions, GitLab CI, CodePipeline, or equivalent) covering build, test, security scanning, and progressive deployment
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Deep GitHub fluency — branching strategies, PR workflows, code ownership, GitHub Actions, and the org-level controls that matter at scale (rulesets, environments, secrets, OIDC to cloud)
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Comfortable working in ambiguity, defining contracts where none exist, and shipping under reliability pressure
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C1 English; comfortable in fully distributed teams
Preferrable:
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Hands-on production experience with at least one AI/LLM-powered system, including a real understanding of retrieval, prompt/context design, cost, and failure modes
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Experience integrating with at least three meaningful third-party platforms in production (e.g. Slack, GitHub, Atlassian, Google Workspace, Salesforce, Stripe, IDE extensions, MCP servers)
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AWS certifications at the Professional or Specialty level (Solutions Architect Professional, DevOps Engineer Professional, Security Specialty)
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Experience with progressive delivery patterns — blue/green, canary, feature flags — in production at scale
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What this person will own and do day-to-day
Architecture and technical direction
Own the end-to-end architecture of the product: data model, services, integrations, infrastructure, security, and reliability. Communicate architecture through C4 diagrams (context, container, component, and code where it adds value) that stay current with the system. Author and curate ADRs (architectural decision records) that capture context, options, trade-offs, and consequences for every load-bearing decision. Set the architectural guardrails — boundaries, contracts, SLAs — that let the team move fast without re-litigating foundational decisions. Make build/buy/integrate decisions across platforms, frameworks, third-party services, and infrastructure. Define and evolve the canonical schema, versioning model, and core abstractions of the product
Hands-on engineering
Write production code on critical paths, especially where the architectural risk is highest. Lead design reviews and review PRs on load-bearing parts of the system. Prototype hard problems quickly to de-risk decisions before the team commits. Profile, debug, and stabilize systems under real production conditions
Reliability, security, and enterprise readiness
Drive the architecture for deployment, data residency, and audit. Lead the response to systemic reliability issues and convert them into durable architectural improvements. Define the access control, permissions, and audit-log model across the product. Own incident postmortems on systemic issues and translate them into roadmap-level changes
Cross-functional and engineering collaboration
Partner with engineering leadership to translate architecture into shippable increments. Work directly with Product on what's architecturally feasible inside the current quarter vs. what's a quarter-out investment. Mentor engineers on systems thinking, trade-off analysis, and writing for design clarity. Represent the product's architecture to enterprise customers during technical evaluations and security reviews
AI-augmented engineering practice
Use modern AI engineering tooling (IDE agents, CLI assistants, MCP servers) as a daily working layer. Set the team's working patterns for spec-driven development, evaluation gates, and AI-assisted code review. Distinguish where AI accelerates the work and where it introduces risk; encode that distinction in the delivery process.
What We Offer
~1 min read💵Competitive USD salary
🌴20 business days of vacation per year + 6 National holidays
🐣Family Leave
💻A dynamic remote work culture. You can work from Anywhere!
🚀An entrepreneurial environment.
In 2010 our founders dreamed up a company that could positively impact the world. Since then, we are in permanent evolution and revolution that brings us closer to our goal.
At first, we did it through business consulting. Then, we shifted towards innovation and design. And now, we've decided to go the Arionkoder way: entrepreneurial vision and creativity are in our DNA, and this is the time to turn them into a tangible reality. That s why we create amazing digital products with the power to impact lives.
We have been dreamers and we still are. We loved it and looked forward to the next revolution!
Location & Eligibility
Listing Details
- Posted
- May 22, 2026
- First seen
- May 22, 2026
- Last seen
- May 23, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- May 22, 2026
Signal breakdown
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