Mid Level - Accounting Manager

About Heady:

Heady is a mobile agency based in Dumbo, Brooklyn. We work with startups and established brands to build and deliver stellar mobile products. We highly value integrity, transparency, and equality throughout our tight-knit work family. In addition to a positive work environment, we offer comprehensive benefits, flexible schedules, and dog-friendly offices. We hope to meet you soon!

About the role:

Heady is looking for an experienced, well-rounded Software Development Engineer In Test (SDET) to join our growing team. In this position, you will own responsibility for the quality of our work and work closely with a strong, cross-functional, and cross-geographical team of engineers, product managers, and designers and help cultivate a quality mindset, coach and advocate for quality while assisting teams with software testing practices.

Responsibilities:

• Create automation frameworks and implement various design patterns
• API and UI automation scripting and maintenance
• Test integration with CI
• Test integration with the cloud platform
• Build health analysis
• Interact with clients as needed to ensure that we are delivering what they require

Qualification & Skills:

• Bachelor’s degree or equivalent experience in Computer Science with 4+ years of Automation experience
• 3+ years of coding expertise using TypeScript
• 3+ years of Selenium WebDriver experience
• 2+ years of hands-on experience in writing API automation scripts and unit test scripts
• Extensive knowledge of GIT and CI
• Excellent familiarity with various design patterns, including POM, FPOM, FDP, Singleton, etc.
• Strong attention to detail, an ability to multitask, and an ability to work independently and on a team

Bonus points if you have:

• Hands-on experience with XCUI with Swift, Cypress, WebdriverIO, RestAssured, and JMeter
• Experience in Security Testing

• Crafting the performance marketing strategy for the company and managing the overall online marketing calendar around the same
• Managing all online properties of the brand
• Measuring ROI and a set of other KPIs, based on in-depth analysis of standard digital metrics
• Liaising with multiple agencies, as well as internal offline and traditional marketing teams to devise and execute innovative marketing campaigns throughout the year
  
  

• 5+ years experience in Digital Marketing with experience in Digital Advertising, Website Management, Lead Generation, and/or Lifecycle Marketing
• Experience with problem-solving and analytical skills including conducting qualitative and quantitative research, analyzing data, data visualization, developing hypotheses, synthesizing insights & recommendations
• Experience with digital and web analytics and data tracking tools (e. g., Google Analytics, ) and SQL
• Website management and technology experience including CMS, HTML, CSS, and Javascript
• Experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
• Experience using various Facebook Interfaces: Ads Manager, Power Editor, Business Manager, Page Insights
• Experience with ad serving tools and DSPs (e. g., DoubleClick, Adobe Advertising Cloud)
• Experience working both strategically as well as in an executional capacity to build and deploy the campaign
• Experience presenting ideas to several stakeholders at once
• Experience collaborating and coordinating with internal and external cross-functional teams
• Experience with digital marketing and digital measurement latest trends and best practices

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.

• Deep understanding of technologies and architecture for a scalable and highly available set-up
• Experienced in Java/Golang and related Technologies like Spring/Hibernate
• Strong networking and Operating Systems fundamentals
• Experienced in Streaming technologies like Kafka
• Experience working with SQL and NoSQL Databases
• Experienced in developing the long-term tech strategy for analytics and translate that into an achievable roadmap

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models