Senior DevOps Engineer (Exchange)

I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
​The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
​What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
​Requirements:
​Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
​Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
​Professionalism: We operate with high standards. Communication and efficiency are key.
​How We Work:
​Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
​Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
​Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
​Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
​Let’s build the future, together.
​Sadr B
CEO, Oferli

About the Role

As a Senior AI Analytics Engineer in our Data Team, you will serve as a key link between Data Engineering, Technology, and Product teams. Your primary responsibilities will involve operationalizing AI/LLM models, developing scalable data transformation pipelines, standardizing data models, and implementing best practices.

In addition to your core duties in analytics engineering, you will also be involved as a technical Business Analyst on certain data projects, collaborating with business units to translate operational needs into clear technical requirements.

Key Responsibilities

Data & AI Architecture: Develop and manage production-quality data models to connect raw data streams with downstream tools and BI, utilizing AI tools for data documentation, writing SQL/Python transformations, handling warehouse dialect conversions, and troubleshooting pipeline errors.

Analytics Engineering: Establish standardized data modeling approaches and build strong semantic layers to deliver clean, reliable data for analytics and reporting downstream.

Business & Requirements Analysis: Lead scoping discussions with various stakeholders to convert business requirements into functional specifications, user stories, and data mapping documents.

Business Logic Translation: Manage the alignment of data definitions across departments, a critical task that requires human intervention.

Data Quality & Governance: Implement automated testing, monitoring, and governance frameworks to ensure high reliability.

Performance Optimization: Enhance query performance, reduce warehouse costs, and streamline pipeline orchestration.

Requirements & Qualifications

Experience: Minimum of 5 years in Data Engineering, Analytics Engineering, or Data Science, with at least 2 years in an AI-focused environment.

Technical Mastery: Advanced skills in SQL, proficiency with modern data transformation and orchestration tools such as dbt, Airflow, Prefect, and Dagster, and deep knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.

AI Technical Stack: Understanding of feature engineering, AI workflow lifecycles, and evaluation metrics, along with experience deploying AI workflows in production settings.

Business Analysis Skills: Ability to collect business requirements, define key metrics, and translate stakeholder needs into structured data assets as needed.

Software Engineering Principles: Strong background in version control using Git, CI/CD practices for data pipelines, and code testing for production environments.

We may utilize artificial intelligence tools for applicant screening, but final hires are based on human evaluation in conjunction with tool insights.

This position plays a pivotal role in overseeing the implementation and maintenance of AI and automation solutions within the organization's global business operations. The successful candidate will be responsible for managing all aspects of automation projects, starting from identifying business challenges to developing, deploying, and supporting the solutions, while ensuring the stability and performance of existing services. Collaboration with business stakeholders, IT departments, and external vendors is essential to transform operational issues into efficient and scalable automation solutions. The role also includes providing support during both US and Asia business hours as part of a structured global support framework.

Responsibilities

Support the daily operation of AI and automation services by managing incidents, service requests, and change requests until resolution, adhering to strict ticket tracking and documentation protocols aligned with service-level agreements.

Serve as the central liaison between business users, IT teams, and vendors, monitoring service performance, utilization, and vendor capabilities.

Collaborate with business stakeholders to identify potential automation and AI applications and convert them into feasible and scalable technical requirements.

Develop, test, and implement automation solutions such as RPA, workflow automation, and AI tools in conjunction with IT, infrastructure, and security teams.

Drive user acceptance through training, standard operating procedures, documentation, and lead ongoing enhancement of automation services.

Requirements

Minimum of 3 years of experience in business consulting, IT system analysis, or solution design, demonstrating a proven track record of leveraging AI and automation tools to enhance business performance.

Demonstrated capability to autonomously design, create, and deploy automation or AI-driven solutions in a dynamic business setting beyond proof-of-concept.

Hands-on experience with automation, RPA, or process mining tools such as Power Automate, Automation Anywhere, UiPath, or Celonis.

Proficiency in programming and scripting languages, preferably Java and Python, with experience in integrating solutions through APIs and workflow orchestration.

Familiarity with event-driven or service-based architectural frameworks commonly used in enterprise integrations.

Fluent in business English (written and verbal).

Preferred Skills

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience with industry-specific platforms like CargoWise, TMS, WMS, or SCM, and relevant integrations.

Familiarity with ITSM/ITIL processes (incident, change, request management) and improvement methodologies such as Lean Six Sigma or Agile.

We may use AI tools as part of the hiring process to assist in reviewing applications, analyzing resumes, and evaluating responses. These tools are designed to support our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by human personnel. If you require more details on how your data is handled, please reach out to us.

Job Overview:

CleanSpark (Nasdaq: CLSK) is a renowned data center developer operating with over 1.8 GW of power capacity, land resources, and data centers nationwide. We focus on efficiently leveraging energetically competitive pricing to generate returns for our stakeholders by intersecting the realms of Bitcoin, energy management, operational proficiency, and financial responsibility. Our strategy revolves around optimizing infrastructure to achieve superior performance in the face of dynamic market conditions.

Job Summary:

The Mining Operations Tech plays a crucial role within CleanSpark's bitcoin mining ecosystem. This individual collaborates within a larger team to provide round-the-clock assistance and maintenance for mining operations, supporting engineering and facilities teams' activities.

Core Responsibilities

Manage equipment shipments through detailed record-keeping and inventory oversight.

Support special projects involving installation or equipment reorganization.

Perform basic maintenance tasks on miners, such as fan and power supply replacements.

Monitor mining pool data and report significant operational fluctuations.

Recognize and address issues impacting production processes.

Escort authorized visitors within facility zones to address equipment needs.

Provide remote assistance, including troubleshooting and equipment reboots.

Aid facility team with building and electrical maintenance concerns.

Alert on HVAC and power issues, overheating risks, and stability deviations in data centers.

Qualifications

Education: High School diploma or equivalent.

Experience: While technical expertise is beneficial, no prior experience is mandatory as on-the-job training is provided.

Skills: Capacity to work autonomously, complete assigned duties, and possess rudimentary computer competencies.

Qualities: Self-driven, supportive, vigilant, and commitment to quality work; team-oriented mindset.

Certifications/Licenses: None required.

Physical Fitness: Capable of lifting 50-75 lbs.

Additional Requirements: Reliable transportation.

The salary range for this position is $21 - $23 annually.

As part of our fair employment practices, CleanSpark is an Equal Opportunity Employer that upholds non-discriminatory standards for hiring, progression, and other employment terms. Our commitment extends to all personnel, irrespective of race, age, gender, disability, veterans' status, sexual orientation, or other legally protected characteristics.

As a transparency measure, we might use AI tools in stages of the recruitment process, such as application review and resume assessment. However, human discernment remains decisive in final hiring determinations. For clarifications regarding data handling, please reach out to us directly.

Job Responsibilities

Prioritize the business aspect over technical skills; analyze data to provide actionable insights for decision-making.

Identify and quantify gaps in user retention, collaborate with cross-functional teams to develop strategies for improvement.

Serve as the single source of truth for business insights, collaborating with product, growth, and GTM teams.

Analyze and monitor key metrics such as activation rates, retention rates, WAU, CPA, and conversion indicators.

Offer strategic business recommendations based on data analysis to drive retention and user engagement.

Job Duties

Monitor and analyze core metrics, conduct diagnostics to provide insightful business recommendations.

Establish measurement frameworks for product launches to track success metrics.

Collaborate with cross-functional teams to evaluate market opportunities and run experiments to inform investment decisions.

Develop regular reporting rhythms and self-serve dashboards for team members.

Translate data analysis into actionable insights for product, growth, and executive teams.

Implement AI tools in the data analysis stack to improve efficiency.

Requirements

Business-minded data analyst with experience in driving retention and growth in consumer products.

Proficiency in SQL, data analytics tools, and at least one scripting language like Python.

Strong analytical skills with the ability to deliver impactful insights that drive business decisions.

Demonstrated success in leveraging AI tools for analysis and decision-making.

Excellent communication skills to effectively convey complex analysis to non-technical stakeholders.

Bonus Skills

Familiarity with gaming metrics and AB testing frameworks.

Experience with subscription and payment data analysis.

Background in intelligent AI, consumer AI, or creator economy products.