Mactores Cognition Private Limited

Mactores is the agent-native AWS modernization firm. We ship modernization to production in weeks — data platforms migrated, applications refactored, AI agents running against real data. Our delivery is built on the agent platform built by our team, and executed by forward-deployed engineers who own outcomes end-to-end. Fixed-date commitments. Real production systems. Retired legacy.

We are an AWS Premier Tier Services Partner with the AWS Agentic AI Specialization, seven AWS Consulting Competencies (including Migration and Modernization, Data and Analytics, Machine Learning, and AI Services), and seventeen AWS Service Validations. Our named production customers include Synaptics, Flipboard, Poshmark, Tilia, KlearTrust, and Safaricom.

Most modernization work doesn't ship. Ours does. That's the job.

Mactores is looking for a Project Manager who will own the delivery, which means scope, timelines, budget, and the team's sprint execution — not just facilitation. The ideal candidate will run the daily, sprint, and client cadences for distributed engineering teams across India and three US timezones, translate fluently between engineering and business stakeholders, and push back on scope creep with data.

We are looking for a PM who gets things done — the person who personally removes blockers, drives escalations to closure, and makes sure no risk reaches the client as a surprise. 

Note: This role is not for you.

• If your default is to forward messages between the client and engineering.
• Your role has primarily been reporting/coordination without delivery or ownership.
• You have only facilitated agile ceremonies without driving delivery outcomes.
• Sprint ownership and execution were largely driven by a Business Analyst or Product Owner in your previous roles.

What you will do

• Build the project plan in Smartsheet from the Solutions Architect's scope of work — real dependencies, a defensible critical path, and sprint boundaries overlaid on the timeline.
• Track scope, hours, and budget in real time. Flag burn-rate risk early and push back on scope creep with numbers, not gut feel.
• Maintain a live risk register. Identify risks before they become issues, surface the right ones to the client at the right time, and drive mitigation actively.
• Maintain a live RAID log (Risks, Assumptions, Issues, Dependencies) along with an action tracker to ensure clear ownership, accountability, and timely closure.
• Run crisp daily stand-ups, sprint planning, and sprint retrospectives that produce decisions, not discussions.
• Remove sprint blockers personally. Chase the client-side data dependency, escalate the stuck cloud permission, redirect pulled resources — do not let "waiting on" sit in a log for days.
• Handle sprint-level risks in real time: reprioritize, descope, swap stories, or escalate before commitments slip.
• Keep trackers honest. Action items have owners and dates; delays are visible and followed up on time.
• Translate technical progress into business language for the customer, and business priorities into clear, estimable requirements for engineers.
• Facilitate internal and external architecture reviews across India and three US time zones; document decisions and circulate them the same day.
• Produce weekly customer status updates that a senior business leader can absorb in 90 seconds — RAG colors backed by evidence, not sentiment.
• Own customer escalations end-to-end and drive them to resolution. Communicate status, risks, and decisions needed — proactively, not reactively.
• Onboard engineers on customer systems, scope, process, deliverables, and documentation standards.
• Create kick-off presentations, project charters, and tracking mechanisms in collaboration with the customer.
• Maintain meeting notes, recorded calls, and a clean project documentation library.
• Review and approve timesheets and leaves; keep capacity planning and team calendar management accurate.
• Negotiate scope changes with data. Produce formal change requests with impact analysis — hours, timeline, trade-offs, options — before anyone commits the team to additional work.
• Drive sprint predictability using velocity planning and burndown tracking; ensure commitments are realistic and consistently met.
• Conduct backlog refinement sessions in collaboration with Principal Consultants or Technical Leads to ensure stories are clear, prioritized, and estimable.

What are we looking for

• 3+ years of delivery experience on cloud engineering or data engineering projects.
• 3+ years as a Project Manager working with customers in US timezones.
• Hands-on fluency with Smartsheet, Jira / Confluence, and Clockify — you can stand up the tooling on day one.
• Excellent written and spoken communication, facilitation, negotiation, and coaching skills; able to hold your ground with a skeptical client engineering director and coach a junior engineer in the same afternoon.
• Strong prioritization and problem-solving instincts. You make trade-offs explicit rather than quietly absorbing them.
• A demonstrable track record of driving outcomes — not just reporting on them.
• Demonstrated experience managing at least one fixed-bid project end-to-end, including scope change negotiation with clients. 
• Strong understanding of Agile delivery metrics such as velocity, burndown, and sprint predictability, and the ability to use them to drive execution.
• Comfortable operating in ambiguous, fast-changing environments where requirements evolve, and expected to bring structure proactively.

You will be preferred if you posses

• Experience managing Data Lake projects on AWS.
• Professional Scrum Master™ (PSM) certification.
• Managing Jira Projects certification.
• Smartsheet certification.

About Aedeon

Aedeon is the agent-native modernization platform for the enterprise. We turn the systems already running the business, applications, databases, data platforms, business rules, and workflows, into governed AI agents, grounded in a persistent Code Intelligence Graph of the customer's own code and verified through behaviour-equivalence proof. Aedeon is delivered as a product, not a services engagement, and runs without mandatory forward-deployed engineers.

You'll be the Product Manager for Aedeon, accountable for ensuring every release ships on time and to the quality the founders signed off on. The founders write product notes that set what gets built and why. You take those notes and turn them into epics, acceptance criteria, sequenced releases, and the daily scrum cadence that enables shipping. Founders own the strategy. You own the finish line.

This is a delivery-heavy role with real product craft. You'll decompose product notes into epics, write the acceptance criteria that define when an epic is actually done, make intra-release prioritization calls when reality forces trade-offs, and review the product every single day so issues surface before customers see them. You'll run scrum, own the release cycle, and be the person engineering looks to when "is this on track?" needs an honest answer.

You won't be the primary voice for customers. The founders and GTM team bring the customer signal. You won't set the strategic direction. The founders write the product notes. What you will do is take a clear strategic input and convert it into a shipped product, on a cadence that enterprise customers can plan against.

We're looking for someone who came up through engineering before moving into product. You should read code comfortably, sit in agent-design reviews with a technical opinion, and push back on engineering estimates when the math doesn't add up. Aedeon's engineers are senior. The PM needs to operate at their level on the technical questions and own the product judgment, they don't.

What will you do?

Decomposition and Planning

• Take founder-written product notes and decompose them into epics, stories, and engineering-ready work items.
• Combine epics into releases with realistic dates. Defend the dates against scope creep and against unrealistic compression.
• Maintain the release plan as a living document. When reality shifts, the plan shifts with it, transparently.

Acceptance Criteria and Definition of Done

• Write the acceptance criteria for every epic. What "done" looks like is your call, anchored to the product note.
• Define release readiness: what must be true before a release ships. Test coverage, behaviour-equivalence verification, governance hooks, customer-facing documentation.
• Sign off on epics before they go to release. No epic ships without your acceptance.

Intra-release Prioritization

• Make day-to-day prioritization calls within a release: which bug first, which epic blocks which, what gets cut when the math doesn't work.
• Escalate to founders only when a decision crosses the strategic line. Inside that line, you decide.

Daily Product Review

• Review the product every single day. Use it like a customer would. Find the issues before customers do, and route them to the right engineer.
• Maintain a running quality bar that the team can point at. "Would I demo this today?" is the test.

Scrum and Release Cycle

• Own the scrum calls: planning, daily stand-ups, retrospectives.
• Own the release process end-to-end: cut, validate, ship, post-release review.
• Coordinate with DevOps and engineering on the deployment pipeline. Keep it clean and repeatable.

Release Accountability

• The founders set the release. You ship it.
• Surface blockers and risks with enough lead time to mitigate. No surprises on release day.
• After every release: what shipped, what landed, what didn't, what needs iteration. Write the retro, share it, and apply the lessons.

What are we looking for?

Product Management Experience

• 5 to 8 years in product management at a B2B SaaS or developer tools company.
• Owned the delivery of a product surface end-to-end at least once: scope to ship to post-release iteration.
• Strong written communication. Acceptance criteria, release plans, scrum notes, decision docs, retros. The PM's job is partly written; the writing must be good.

Engineering Background

• Came up through engineering. Built and shipped production software for at least 3 years before moving into product.
• Read Python comfortably. Read other common languages (Java, TypeScript, SQL) well enough to follow a code review or a design doc.
• Comfortable in design reviews for distributed systems, agent orchestration, or data pipelines. Has an opinion, not just questions.

Delivery Discipline

• Treats commitments as commitments. If a release date is on the calendar, you defend it or renegotiate it openly. You do not silently slip.
• Runs scrum cleanly. No theater. The ceremonies exist to remove blockers, not to fill time.
• Treats acceptance criteria, release plans, and retros as first-class deliverables, not paperwork.

Operating Mindset

• Comfortable in a founder-led product environment where strategy comes from above and you own execution.
• Bias to action. Decisions made and revised beat decisions deferred.
• Strong English communication, written and spoken. You'll be in product reviews and customer-impacting release discussions.
• Available to work with US business hours from India.

You'll be preferred if

• Enterprise modernization domain (mainframe, SAP, Oracle, large Java / .NET estates) or AI/agent orchestration product experience.
• Familiarity with AWS production environments (EKS, ECS, Bedrock, DynamoDB).
• Exposure to regulated industries (BFSI, healthcare, insurance) and the release discipline they require.
• Prior experience as the only or first PM at a company.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Application, and Big Data Workloads. You will have broad business and technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. You will help us build scalable, efficient cloud infrastructure.

You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.  If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Application migration projects from on-premises to AWS.
• Database (RDBMS, NoSQL, DW, Hadoop) migration projects from on-premises to AWS. 
• Automate operational and server provisioning workflows using AWS CFT on AWS.
• Share the responsibility for deploying releases and conducting other operations maintenance.
• Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
• Provide operational support for the rest of the Engineering team.
• Help migrate our remaining dedicated hardware infrastructure to the cloud.
• Establish and maintain operational best practices.

What do you have?

• 2+ years of experience in using Terraform for IaaC.
• 2+ years of configuration management and engineering for large scale customers, ideally supporting an Agile development process.
• 2+ years of Linux Administration experience.
• Deep understanding of version control systems (git), including branching and merging strategies.
• Experience working with cloud platforms (AWS/EC2/ ECS/ RDS/ CloudFormation, Cloudwatch, etc.) and cloud automation tools (Ansible, Chef).
• Experience with software build tools (Maven, Gradle) and continuous integration tools (Jenkins).
• Must have supported Java-based applications in a production environment.
• Experience with Linux environments and scripting languages - bash, python, Groovy.
• Experience in supporting Node.js in production is a plus.
• Knowledge of service discovery tools such as Consul is a plus.
• Comfortable working late evening hours, which is when most patching occurs.
• You are extremely proactive at identifying ways to improve things and make them more reliable.

You will be preferred if

• You are AWS DevOps Pro or AWS SA Pro Certified

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are seeking a highly skilled and innovative Generative AI Engineer to join our team. In this role, you will develop and deploy cutting-edge generative AI models to solve real-world problems. You will work on building models that generate content, understand complex data, and collaborate closely with cross-functional teams to implement AI-powered solutions.

What you will do?

• Design and implement generative AI solutions using large language models (LLMs).
• Apply prompt engineering techniques and build scalable Retrieval-Augmented Generation (RAG) systems.
• Fine-tune and optimize models for performance, cost, and reliability.
• Leverage AWS services such as Bedrock, SageMaker, and Lambda for deployment and inference.
• Develop APIs and backend components for production-grade AI applications.
• Implement observability, performance monitoring, and security best practices.
• Drive responsible AI adoption through evaluation, bias detection, and compliance.

What are we looking for?

• 3+ years of experience in Python with strong software engineering fundamentals.
• Hands-on experience with LLMs and prompt engineering strategies.
• Experience designing RAG pipelines and working with vector databases.
• Proficiency in model fine-tuning (e.g., LoRA) and embedding-based systems.
• Experience with cloud platforms and deploying AI models in production.
• Strong debugging, optimization, and problem-solving skills.
• Clear and effective technical communication.
• Production-first mindset with attention to cost, reliability, and performance.

Preferred Qualifications

• Practical experience with frameworks like LangChain or LlamaIndex.
• Exposure to multi-modal AI systems.
• Familiarity with ML/MLOps and large-scale deployment practices.
• Experience supporting systems at high request volumes.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.

You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Automate infrastructure creation using Terraform and AWS CloudFormation.
• Perform application configuration management and enable Infrastructure as Code (IaC) through deployment tools.
• Own and manage the build and release cycle for customer projects.
• Share responsibilities for deploying releases and other operations and maintenance activities.
• Enhance operations infrastructure such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Provide operational support for the engineering team and help migrate legacy infrastructure to the cloud.
• Establish and enforce operational best practices.
• Actively participate in hiring culturally aligned engineers and mentoring them in their career growth.
• Collaborate with founders to design team strategy and contribute to long-term technical planning.
• Work across distributed teams (US & India) and collaborate with customer SMEs to ensure business logic alignment.

What are we looking for?

• 4+ years of experience with Terraform for Infrastructure as Code (IaC).
• 4+ years of experience in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration experience.
• 4+ years of working with Git and solid understanding of branching and merging strategies.
• 2+ years of hands-on experience with AWS infrastructure and platform services.
• 2+ years of experience with cloud automation tools such as Ansible or Chef.
• 2+ years of experience with container orchestration tools like Kubernetes (EKS), AWS ECS, and Docker.
• You are proactive and solutions-oriented, with a strong drive to improve reliability and scalability.

You will be preferred if

• Expertise with multiple cloud service providers: AWS, Azure, GCP.
• AWS Certifications: Solutions Architect (Associate/Professional) or DevOps Professional.
• Hands-on experience with data pipelines, big data processing, or machine learning workflows on cloud platforms.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.

You have experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.

If you love solving problems using yo, professional services background, usual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
• Debug and fix production issues in PySpark.
• Determine the RCA (Root cause analysis) for production issues.
• Collaborate with product teams for L3/L4 production issues in PySpark.
• Contribute to enhancing the ETL efficiency
• Build CloudWatch dashboards for optimizing the operational efficiencies
• Handle escalation tickets from L1 Monitoring engineers
• Assign the tickets to L1 engineers based on their expertise

What are we looking for?

• AWS data Ops engineer.
• Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
• Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
• Strong data engineering experience on Cloud platform, preferably AWS.
• Experience with data pipelines designed for reuse and use parameterization.
• Experience of pipelines was designed to solve common ETL problems.
• Understanding or experience on various AWS services can be codified for enabling DataOps like Amazon EMR, Apache Airflow.
• Experience in building data pipelines using CI/CD infrastructure.
• Understanding of Infrastructure as code for DataOps ennoblement.
• Ability to work with ambiguity and create quick PoCs.

You will be preferred if

• Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
• Exposure to MLOps using Amazon Sagemaker is a plus.
• AWS Solutions Architect Professional or Associate Level Certificate
• AWS DevOps Professional Certificate

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: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

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.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not 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 policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.

You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Automate infrastructure creation with Terraform, AWS Cloud Formation
• Perform application configuration management, and application-deployment tool enabling infrastructure as code.
• Take ownership of the Build and release cycle of the customer project.
• Share the responsibility for deploying releases and conducting other operations maintenance.
• Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
• Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud.
• Establish and maintain operational best practices.
• Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them.
• Design the team strategy in collaboration with founders of the organization.

What are we looking for?

• 4+ years of experience in using Terraform for IaaC
• 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process.
• 4+ years of Linux or Windows Administration experience.
• 4+ years of version control systems (git), including branching and merging strategies.
• 2+ Experience in working with AWS Infrastructure, and platform services.
• 2+ Experience in cloud automation tools (Ansible, Chef).
• Exposure to working on container services like Kubernetes on AWS, ECS, and EKS
• You are extremely proactive at identifying ways to improve things and to make them more reliable.

You will be preferred if

• Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform
• AWS Solutions Architect Professional or Associate Level Certificate
• AWS DevOps Professional Certificate

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: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

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.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not 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 policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions. 

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Write efficient code in - PySpark, Amazon Glue
• Write SQL Queries in - Amazon Athena, Amazon Redshift
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services 
• Deliver the projects along with the team collaboratively and manage updates to customers on time

What are we looking for?

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
• 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
• 2+ years of experience in SQL queries and stored procedures
• Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+

You will be preferred if you have

• Prior experience in working on AWS EMR, Apache Airflow
• Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
• Understanding of DataOps Engineering

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: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

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.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not 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 policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.