Lumnix

About the client

 Our client s a B2B SaaS platform for creator vetting, risk monitoring, and brand safety in influencer marketing. We help brands and agencies make smarter, faster decisions before and after they sign a creator. We're a small, high-output team - everyone owns real work and moves fast.

What you'll own

● Delivery coordination across engineering, product, and client-facing
workstreams - keeping sprints on track and blockers surfaced early
● Jira hygiene - story creation, release version management, AC quality, and
sprint health across active PLG and client delivery releases
● Client project execution - coordinating structured engagements (discovery, build
sprints, handoffs) for agency and brand partners
● Stakeholder communication - release notes, sprint summaries, and status
updates that are clear and actually get read
● Process improvement - spotting where the team loses time and fixing it, whether
that's a workflow, a template, or a missing ritual
● Cross-functional glue - keeping product, engineering, delivery, and marketing
aligned without creating overhead
● Engineering management support - working closely with the lead engineer and
delivery manager to track capacity, flag risks, and keep engineering output
predictable
● BA and product collaboration - translating business requirements into structured
briefs, user stories, and acceptance criteria that engineers can act on without
back-and-forth
● Prototyping coordination - scoping and managing low-fidelity prototype cycles
in Figma, bridging the gap between product ideas and build-ready specs

What good looks like

● You've shipped SaaS products in a fast-moving startup environment
● You're comfortable owning Jira end-to-end - not just updating tickets but
structuring work properly
● You write clearly and don't need a template to send a useful status update
● You ask sharp questions early instead of surfacing problems late
● You know the difference between process that helps and process that slows
people down

● You've done BA or PM work before - writing requirements, facilitating discovery,
and translating fuzzy asks into scoped deliverables
● You've coordinated prototyping or design sprints and know how to keep them
from spiraling
● You can hold your own in a conversation with engineers - you don't need to code,
but you need to understand what's being built and why it's hard

Stack you'll work in

● Jira
● Confluence
● Slack
● Figma
● Customer.io
● Google Drive, and whatever the team is building toward next
Nice to have
● Experience coordinating SaaS or data platform builds
● Exposure to influencer marketing, brand safety, or creator economy
● Comfort working with or adjacent to engineering teams (you don't need to code, but you need to understand what engineers are doing)
● Background in business analysis or product management (formal or informal)
● Experience running or supporting prototyping sprints with design and engineering

What we offer

● Direct access to founders and real influence on how the product and team scales
● Small team means your work visibly matters
● Remote, async-friendly, no bureaucratic nonsense

About the client

Our client is looking for a hands-on Principal Integration Engineer & Architect to lead the design, evolution, and execution of our core data integration ecosystem. This role is built specifically for an elite technical leader who loves mapping out highly reliable distributed architectures but is driven by a strong desire to stay close to the metal- allocating approximately 70% of their time to writing mission-critical production code, core libraries, and internal SDKs, and 30% to high-level architectural design, API contract governance, and technical mentorship. 
Our client is a venture-backed AI-powered platform built specifically for consumer brands. It connects to sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking - all in real time. With integrations across finance, e‑commerce, and marketing tools, Iris provides the clarity and automation brands need to grow confidently 
 

What You’ll Do
 

• Write Foundational Code (70% Focus): Maintain a heavy, hands-on presence in the codebase. Author core integration libraries, internal SDKs, and high-performance data transformation engines in JavaScript (Node.js/NestJS) and Python to establish gold standards for the engineering team.
• Architect for Scale (30% Focus): Design and evolve a robust, multi-tenant integration architecture capable of handling data streams from hundreds of distinct third-party platforms concurrently.
• Build for Resilience: Establish bulletproof integration patterns to successfully navigate external API limitations, handling advanced OAuth state machines, dynamic webhook processing, elegant rate-limiting, sophisticated retries, and distributed tracing.
• Govern API & Data Integrity: Define and enforce strict schema validations, transaction boundaries, and end-to-end data transformation standards to guarantee accurate real-time financial reporting.

• Technical Leadership & Mentorship: Act as an elite technical sounding board for the engineering organization. Conduct comprehensive architecture reviews, upskill senior engineers, and champion modern DevOps, testing, and deployment workflows.Design, implement, and maintain core backend services using JavaScript and Python.

  
   

What We’re Looking For

• Deep Industry Experience: 8+ years of professional software engineering experience, with a proven history of designing, deploying, and maintaining high-throughput, distributed back-end integration solutions.
• Polyglot Mastery: Highly proficient in both JavaScript/TypeScript (Node.js, NestJS) and Python, knowing exactly when and where to leverage each language's native strengths.
• Advanced Integration Expertise: Extensively experienced interfacing with chaotic external REST/GraphQL APIs, webhooks, asynchronous event queues, and state management systems under high volumes.
• Data Modeling & Schema Excellence: Expert-level understanding of relational (SQL) and non-relational (NoSQL) databases, schema design, complex data validation, mapping workflows, and ETL pipeline design.

• True Builder Mentality: A strong architectural thinker who actively rejects the "ivory-tower" approach and remains deeply passionate about shipping high-quality production code every single week.
  
  Would Be a Plus

   

• Direct technical experience within FinTech, e-commerce SaaS platforms, or real-time data streaming architectures (e.g., Kafka, RabbitMQ).
• Familiarity with financial data aggregates or banking networks (e.g., Plaid, Yodlee, Stripe).
• Experience setting up data ingestion pipelines optimized for downstream AI/LLM analysis models.
   

What We Offer

• Competitive salary aligned with market standards, with annual salary reviews.
• A friendly, collaborative startup environment where you can drive impact in a mission-critical space for growing consumer brands.
• High-growth opportunity - join early and help shape a cutting-edge product used by high-velocity, finance-driven companies.
• Access to modern tech stack, including serverless/cloud-native solutions, event-driven pipelines, and experimentation with LLMs/AI for data validation.
• Generous time off, flexible work arrangements, and commitment to work-life balance.

About LumnixLumnix is a boutique technology talent agency that connects businesses with exceptional technology professionals from around the world. We specialize in sourcing, vetting, and managing top-tier remote talent to help startups and enterprises build high-performing, distributed technology teams.

Our client is a neocloud building purpose-built GPU infrastructure for AI workloads. They operate large-scale clusters powering training and inference for some of the most demanding AI customers in the market, and they're rapidly expanding. Their infrastructure runs on NVIDIA and AMD accelerators, InfiniBand and high-speed Ethernet fabrics, and a production stack spanning bare-metal provisioning, Kubernetes, and OpenStack.

They're small, senior, and moving fast. The people who do well with our client own problems end-to-end and make decisions with incomplete information.

The role

We are hiring a Senior SRE to own the incident and problem management programs for our client. This is the person who runs the call when a customer cluster goes down, drives the post-mortem afterward, and hardens the runbooks so the same failure does not surface twice.

This is not an ITIL paperwork role. You will be technically credible across Kubernetes, Linux, networking, and GPU infrastructure, enough to lead a live incident with platform engineers, and a customer on the bridge. But your center of gravity is the process: fast, clean incident response, honest communication, and a relentless feedback loop between customers and engineering.

You will set the standard for how our client behaves during their most challenging hours. Done well, this is one of the most visible and highest-leverage roles on the team. You will work closely with cloud operations, network teams, and customer-facing counterparts. Expect to be on-call in a shared rotation.

What you'll own

• Incident command. Run major incidents end-to-end: triage, escalation, comms cadence, timeline, decision log, and drive-to-resolution. You are the conductor, not the fixer.
• Customer communications. Own customer-facing incident messaging, initial acknowledgement, status updates at defined intervals, resolution notice, and written RCA. Clear, honest, no hedging.
• Post-mortem and RCA program. Run blameless post-mortems, write the RCA, track action items to completion, and publish learnings across the org. Own the quality bar for RCA writing for our client.
• Escalation framework. Define and maintain the severity matrix, escalation trees, on-call rotations, and paging policies across platform, network, DC ops, and leadership.
• Runbooks and playbooks. Turn tribal knowledge into durable, testable runbooks. Drive the engineering teams to document before the next 2am page, not after.
• On-call health. Own the on-call experience: page volume, alert quality, rotation fairness, and handoff hygiene. Kill noisy alerts. Fix the ones that matter.
• Reliability metrics. Define and report the metrics that matter: MTTA, MTTR, incident count by class, SLO attainment, repeat-offender systems. Make reliability a number the business trusts.
• Game days and drills. Plan and run incident drills across clusters, regions, and customer scenarios. Surface gaps before customers do.
• Incident tooling. Own the incident tooling stack, paging, status page, incident channel automation, timeline capture, RCA templates. Evaluate and land the right tools.

What we're looking for

Required

• 7+ years in SRE, production engineering, or infrastructure operations, with clear ownership of incident management in at least one prior role.
• Proven ability to run major incidents as the commander, keeping a room calm, driving decisions, managing comms to customers and executives in parallel.
• Strong technical fluency across Linux, Kubernetes, networking ($L2/L3$, BGP basics), and cloud or bare-metal infrastructure.
• Deep enough in the stack to challenge assumptions, debug alongside engineers on a bridge call, and senior enough to turn each incident into durable improvements like runbooks, automation, guardrails, so the next incident does not need you.
• Excellent written communication. You can draft a customer-facing RCA that is accurate, clear, and does not over- or under-promise, and do it within the SLA window.
• Experience owning SLOs, error budgets, or equivalent reliability metrics as a working practice, not a slide.

• Experience designing on-call rotations and alerting practices across multiple teams. Comfortable operating in a fast-moving, still-forming environment. You write the runbook that did not exist yesterday.

   

Strongly preferred

• Experience in GPU infrastructure, HPC, or AI/ML platform operations, NCCL, InfiniBand, DCGM, or similar.
• Direct experience with Kubernetes incident response, control plane, CNI, operator patterns, noisy-neighbor debugging.
• Experience interfacing with neocloud, enterprise or hyperscaler customers during live incidents.
• Familiarity with Prometheus, Checkmk, Grafana, and modern incident tooling (OpsGenie/JIRA).
• Prior experience at a neocloud, CSP, or infrastructure vendor where downtime had direct revenue impact.

How we work

• We're remote-first across US, LATAM, and EU time zones with a strong operational culture.
• We use AI tooling heavily in day-to-day operations and expect everyone on the team to be fluent with it and to help us get more leverage from it.
• We ship, we debug, we iterate. We don't process-engineer our way around problems that need to be solved.
• We value written artifacts, RCAs, runbooks, design docs, over meetings. We value calm over performative urgency.
• We protect focus time and we protect sleep.

AI as a force multiplier

Our client runs the infrastructure that powers the AI economy. We expect our team to use AI aggressively in how we work. For this role specifically, that means using AI to draft RCAs faster, triage logs and metrics during incidents, summarize timelines, generate customer-facing communications from raw incident data, and turn post-mortems into runbook updates automatically. If you have not yet built this into your workflow, you will here.

What success looks like

First 30 days

• Shadowed on-call rotations across the platform, network, and ops teams.
• Read every RCA written and identify the top three recurring failure classes.
• Met with the top three customers and understood their incident expectations and SLA terms.
• Documented the current-state incident response process, gaps and all.

First 90 days

• Published a revised severity matrix, escalation tree, and customer-comms cadence, adopted across teams.
• Run at least two major incidents as commander with clean timelines and customer comms.
• Delivered a new RCA template and coached the team through at least three post-mortems against it.
• Stood up baseline reliability metrics (MTTA, MTTR, incident count by class) with a weekly reporting cadence.
• Killed at least 20% of current alert volume by eliminating low-signal pages.

`First 12 months

• Our client has a mature, documented incident management program that a new customer can diligence with confidence.
• Repeat-offender incident classes are down materially, with clear attribution to runbook, tooling, or engineering changes you drove.
• Customer-facing RCAs are consistently delivered within SLA and are referenced by customers as a differentiator.
• On-call health (page volume, rotation fairness, engineer-reported burden) has measurably improved.
• Game days are a regular cadence and have surfaced and closed real gaps before they became customer incidents.

About Us:
 

We are a leading AI-powered platform designed to bring order and transparency to the creator ecosystem. Our mission is to empower creators and consumers alike by providing innovative solutions that enhance brand safety, brand suitability, and transparency in the creator economy. Join us on our journey to revolutionize the digital content landscape with cutting-edge technology.
 

Role Overview:

As our first QA Engineer, you will play a crucial role in establishing and implementing quality assurance practices. You will have the chance to set up testing processes, create test plans, and contribute to ensuring the quality of our software product. This role is perfect for someone eager to make a significant impact and develop their QA skills in a dynamic environment.
 

Key Responsibilities:

• Perform manual functional, non-functional, regression, and exploratory testing on web and mobile applications.
• Create, execute, and maintain comprehensive test cases and documentation.
• Identify, report, and prioritize bugs and issues.
• Manage and track defects throughout their lifecycle, ensuring effective communication with development teams.
• Conduct release testing including smoke, regression, and post-live testing.
• Collaborate with a cross-functional team to understand product requirements and ensure quality standards.
• Use tools like JIRA to manage test cases, bugs, and overall test progress.
• Analyze test results, identify trends, and contribute to troubleshooting efforts.
• Develop and implement QA processes and testing strategies for our software products.
   

Requirements:

• Minimum of 0.5 years of experience in software testing (internships, academic projects, or relevant experience).
• Basic understanding of the software development lifecycle (SDLC) and QA methodologies.
• Knowledge of JIRA for issue tracking.
• Basic understanding of Agile methodologies.
• Strong analytical and modeling skills 
• Outstanding level of attention to detail.
• At least Intermediate English proficiency (both spoken and written).
• Excellent communication and interpersonal skills.
• Self-organized, proactive, and motivated to learn and adapt.
   

Nice to Have:

• Experience with integration testing, and web-service testing.
• Understanding of client-server architecture, HTTP basics, and data formats like JSON.
• Familiarity with automation testing and basic programming knowledge.

• Experience with tools like Insomnia/Postman.

   

What We Offer:

• The unique opportunity to establish QA processes and practices within a growing company.
• Hands-on experience with a variety of testing tasks and technologies.
• A supportive environment for professional growth with access to training and learning resources.
• Mentorship and guidance from experienced professionals to help you develop your skills.
• The chance to work closely with developers and other team members to shape the quality of our products.
• Flexible working arrangements and a collaborative team culture.
   

If you are an enthusiastic individual with a passion for quality and a desire to build QA practices from the ground up, while also growing your skills through learning opportunities, we would love to hear from you.