Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Mactores has 21 public case studies and 200+ published blogs. Most consultancy content sounds the same — capability lists, stacked adjectives, claims without baselines. Ours can't. Our positioning voice is flat, declarative, and engineering-led: pain named before capability, numbers with baselines, one contrarian claim per piece that a sharp reader would bookmark. Writing in that voice, at L300/L400 technical depth, for US B2B buyers — that's this job.

As our Technical Content Writer, you'll turn complex cloud and data engineering work Apache Iceberg lakehouses, Oracle-to-Aurora migrations, Spark optimization, cloud-native DataOps into deeply technical, visually sharp content that ranks, resonates, and drives enterprise pipeline in the US market. This is not a generalist writing role. You'll go deep technically, and you'll bring marketing judgment to everything you produce: a piece has to land with a data engineer, an IT director, and a CFO evaluating cloud ROI without being rewritten for each. You'll own content from research through publication long-form blogs, whitepapers, case studies, social copy, and the diagrams that make the argument legible.

What you will do?

Write and ship technical content

Research, write, and publish L300/L400-level technical blogs, deep-dive articles, whitepapers, case studies, and solution briefs across AWS, Snowflake, Databricks, and Azure.
Turn complex architectural work Iceberg lakehouses, Oracle-to-Aurora migrations, Spark optimization, cloud-native DataOps into structured, accurate, engaging long-form content.
Produce both long-form and short-form independently blog posts, tutorials, solution walkthroughs, comparison guides, newsletters, LinkedIn posts, marketing copy without editorial hand-holding.
Work closely with solution architects, data engineers, and SMEs to validate technical accuracy and pull out implementation-level insight the reader can't get elsewhere.

Make it visual

Design and produce the visual assets that carry the writing: custom diagrams, architecture illustrations, infographics, social graphics, data visualizations.
Use Canva, Figma, Adobe Express, or equivalent to independently create polished, on-brand visuals that make complex topics immediately digestible.
Build graphic-rich formats — one-pagers, solution briefs, visual explainers — optimized for US B2B audiences across digital and print channels.
Apply visual storytelling so technical content travels on LinkedIn and partner platforms.

Write for the buyer who's actually reading

Write with a clear understanding of US B2B buyer behavior, content expectations, and purchasing patterns — from practitioner to VP to C-suite.
Adapt tone, format, and messaging by segment, so the same engagement story lands with a data engineer, an IT director, or a CFO.
Contribute to co-branded content with AWS, Snowflake, and Databricks — blogs, webinars, roadshow materials aligned with US go-to-market priorities.
Repurpose long-form content into social-ready formats for LinkedIn, newsletters, and partner channels, tuned for the US audience.

Use AI as a force multiplier

Actively use AI tools (Claude, ChatGPT, Gemini, Grammarly, and others) to accelerate research, drafting, editing, and ideation.
Apply AI tools to improve structure, readability, and technical depth — a multiplier for quality and velocity, not a substitute for expertise.
Stay current with AI content tooling and keep folding better tools and workflows into your process.

Own SEO and performance

Own the SEO strategy for all published content: keyword research, search intent mapping, on-page optimization, internal linking, meta descriptions, structured data.
Use Ahrefs, SEMrush, Google Search Console, or Surfer SEO to find content opportunities, track rankings, and optimize existing content.
Write content that holds technical authority and still ranks for the high-intent, long-tail queries US engineers and architects actually search.
Run regular content audits and refreshes so published pieces stay current with platform features and industry shifts.
Optimize for featured snippets, People Also Ask, and rich results where applicable.
Track performance — organic traffic, time on page, conversions, backlinks — and use the data to sharpen the content strategy.

What are we looking for?

4+ years creating technical content in the cloud, data engineering, or analytics domain, with a portfolio that shows both technical depth and marketing polish.
Demonstrated L300/L400 writing ability comfortable with distributed query optimization, schema evolution in Iceberg, PL/SQL-to-PostgreSQL conversion, or Spark-on-EMR tuning without significant guidance from engineers.
Excellent written English for a US B2B audience American business communication norms, tone, and content expectations.
A proven record of producing long-form and short-form content across formats without extensive editorial support.
Hands-on experience creating graphic-rich content infographics, diagrams, social assets, visual explainers — with design tools.
Working knowledge of at least two of: AWS, Snowflake, Databricks, Azure.
Strong SEO fundamentals: keyword research, on-page SEO, content architecture, backlink strategy, performance tracking.
Proficiency with AI writing and productivity tools, and a demonstrated habit of using them to raise quality and output.
Experience with a CMS platform (HubSpot, WordPress, or equivalent).
A marketing-focused background formal education or equivalent experience in Marketing, Communications, or a related field is preferred.

You'll be preferred if

A Bachelor's or Master's degree in Marketing, Communications, or a related field
Certification in one or more of: AWS, Snowflake, Databricks, or Azure
Certification or coursework in Technical Writing or Content Strategy
Experience writing content for an AWS Partner, ISV, or cloud consultancy targeting the US market
Familiarity with Apache Iceberg, Apache Spark, dbt, Kafka, or similar open-source data technologies
Experience contributing to or ghostwriting for AWS blogs, Databricks blog, or Snowflake Medium publications
Working knowledge of HTML/Markdown for CMS publishing
Demonstrated understanding of US B2B advertising norms, including familiarity with how US enterprise buyers consume and evaluate technical content

How we work?

You'll write from shipped work, not abstractions. Our engineers land real migrations with named customers and measurable outcomes, and Aedeon-driven delivery gives you material most content teams never get: agents absorbing 60–70% of engagement hours versus a traditional consulting proposal of equivalent scope, cutovers on committed dates, legacy actually retired. Your job is quality uplift, not volume every piece opinionated, data-led, written for one buyer reading alone, and carrying a claim with a baseline. You'll use AI tools the way our engineers use agents: to absorb the repetitive work so your hours go to the judgment.

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment:

A series of evaluations of your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Technical Content Writer