Mactores Cognition Private Limited
https://mactores.comAbout
Mactores is a global technology consulting and product company with focus on delivering solutions on Cloud, Big Data, Deep Analytics, DevOps, IoT & AI
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Jobs at Mactores Cognition Private Limited
Java
PostgreSQL
Spring BootMactores 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.
Mactores is looking for a Software Engineer with proficiency in Java, Spring, and Hibernate to participate in the migration project from Oracle to PostgreSQL. The ideal candidate should possess a robust understanding of Java, Spring, and Hibernate, with hands-on experience in developing large-scale Java web applications.
What you will do?
- Analyze and remediate large enterprise Java codebases to replace legacy or database-specific SQL constructs with modern, standards-compliant SQL.
- Convert embedded SQL within Java services and MyBatis XML mappers, including rewriting constructs such as vendor-specific functions, sequences, pagination logic, dynamic SQL, and error-handling patterns.
- Collaborate closely with schema and database migration engineers to ensure application-layer SQL aligns with the modernized target schema.
- Refactor Java transaction logic, error-handling, drivers, and ORM/DAO layers to support the behavior of modern databases.
- Participate in unit, integration, and performance testing to confirm functional parity and ensure applications meet performance SLAs post-modernization.
- Support application cutover activities for production environments, including validation, monitoring setup, rollback planning, and stabilization.
- Produce engineering documentation: SQL remediation guides, code-migration runbooks, troubleshooting guides, and knowledge-transfer material for customer teams.
- Work across distributed teams (US & India) and collaborate with customer SMEs to ensure business logic alignment and successful modernization outcomes.
What are we looking for?
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 5+ years of professional Java development experience (Spring, JDBC, MyBatis/Hibernate or equivalent).
- Experience with application modernization, database migrations, or large-scale refactoring initiatives.
- Strong SQL expertise and the ability to analyze, interpret, optimize, and rewrite complex SQL used within Java applications.
- Deep understanding of JDBC, ORMs, Java transaction patterns, and database-driven application flows.
- Experience working on enterprise-grade, high-performance applications with complex data interactions.
- Strong communication skills and ability to work with global distributed teams in US time-zones.
You will be preferred if
- Experience with PostgreSQL, Aurora PostgreSQL, or modernization from legacy databases such as Oracle, SQL Server, or DB2.
- Exposure to automated code-refactoring tools or GenAI-assisted remediation workflows.
- Familiarity with CI/CD environments, performance testing tools, and observability stacks.
- Consulting or professional services experience delivering fixed-timeline modernization projects.
PythonMactores 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.
As the Project Manager, you will be responsible to manage project scope, timelines, budgets, daily scrum, sprint planning & retrospective, internal & external stakeholder management.
What you will do
- Create a project plan based on the scope of work defined by the Solutions Architect using Smartsheet
- Identify activities, dependencies, sequencing, and time estimates
- Onboard the team of engineers on customer systems, project scope, process, deliverable, documentation requirements
- Create project kick-off presentation, charter, and tracking mechanism in collaboration with the customer
- Conduct daily stand-ups, sprint planning, sprint retrospective meeting
- Facilitate internal and external architecture discussions, review calls, and document decisions with the teams who work in India and three timezones in the US
- Proactively create meeting notes, weekly customer presentations, and organize project documents and recorded calls
- Review and approve employee timesheets, leaves and perform team calendar management
- Enable customer success by proactively communicating project status, risks, requests
- Take ownership of customer escalations and facilitate the resolution
- Negotiate the scope changes in the project by producing appropriate project documentation
What are we looking for
- 2+ years of experience in working in cloud engineering or data engineering projects
- 2+ years of experience as a Project manager or scrum master with customers in US timezones
- Expertise in using Smartsheet, Jira / Confluence, Clockify
- Excellent communication, facilitation, negotiation, and coaching skills
- Expertise in managing internal and external teams
- Strong prioritization and problem-solving skills
You will be preferred if you posses
- Experience in managing Data Lake based projects on AWS
- Professional Scrum Master™ certification
- Managing Jira Projects certification
- Smartsheet Certification
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)
Docker
KubernetesMactores 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)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.
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