QA Automation Engineer with TeamCity, Octopus, SQL

Plan, launch, and optimize performance marketing campaigns across Google Ads, Meta Ads, and LinkedIn Ads.

Manage end-to-end campaign execution including targeting, ad setup, creative testing, and landing page optimization.

Drive lead generation by lowering CPA and improving ROAS.

Run remarketing, retargeting, and lookalike campaigns to boost conversions.

Implement A/B testing for creatives, copies, landing pages, and funnels.

Use AI tools and automation to improve campaign efficiency.

Monitor budgets and key KPIs (CTR, CPC, CPA, ROAS, Conversion Rates).

Track, analyze, and report performance using Analytics, GTM, and ad manager platforms.

Brief:

We are pursuing a complex set of problems that involve building for an international audience and for an industry that has largely been service-centric. As an SDE at GradRight, you’ll bring an unmatched customer-centricity to your work, with a focus on building for the long term and large scale.

You’ll contribute to frameworks that enable flexible/scalable customer journeys and tying them with institutional knowledge to help us build the best experiences for students and our partners.

Responsibilities:

1. Contribute to design discussions and decisions around building scalable and modular architecture
2. Build clean, modular and scalable backend services
3. Participate in sprint ceremonies and actively contribute to scaling the engineering organization from a process perspective
4. Stay on top of the software engineering ecosystem and propose new technologies/methodologies that can be adopted
5. Contribute to engineering hiring by conducting interviews
6. Champion infrastructure as code mindset and encourage automation
7. Manage and mentor a small team of junior engineers

Requirements:

1. At least 4 years experience as an SDE, building large scale services
2. Extensive experience in at least one programming language and ability to write maintainable, scalable and unit-testable code
3. Strong understanding of software design principles and patterns
4. Excellent command over data structures and algorithms
5. Passion for solving complex problems
6. Good understanding of various database technologies with strong opinions around their use cases
7. Experience with performance monitoring and scaling backend services
8. Experience with microservices and distributed systems in general
9. Experience with team management
10. Excellent written and verbal communication skills

Good to have:

1. Experience working with node.js, MongoDB and Google Cloud
2. Experience in CI/CD and cloud infrastructure management
3. Worked on products that addressed an international audience
4. Worked on products that scaled to millions of users

• Work closely with partners to gain a comprehensive understanding of the company’s hiring needs for each position, and meet competitive hiring goals and expectations
• Manage the full recruiting lifecycle across a variety of open roles helping management find, hire, and retain quality talent
• Grow and foster high-touch relationships with a database of qualified active and passive talent to pull from as new positions open up
• Continuously partner with recruiting team and senior managers to design, refine, and implement innovative recruiting strategies
• Stay active with current with job boards, social networks, and platforms to find talent, and plan, create, and release job descriptions and announcements.
•  

• 2 -5 years’ experience in recruitment (IT recruitment plus)
• Exceptional communication, interpersonal, and decision-making skills
• Advanced knowledge of MS Office, database management, and internet search
• Familiarity with job boards

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

Good to have:

• EE Functional Knowledge and experience in QAD Implementation
• EE Customization experience
• ICT knowledge.
• Hands-on with QRF
• Qxtend handling knowledge
• Knowledge on Automotive / FMCG / Medical Devices / Industrial Manufacturing domains
• Good oral and written communication

Responsibilities:

• Techno-Functional consultant.
• Should be able to handle the tickets assigned on their own.

Job Requirements:       

·        Bachelor’s degree (minimum) in Computer Science or Engineering.

·        Minimum 5 years of experience working as a senior–level Software Engineer

·        Excellent programming and debugging skills in RoR and Python

·        Experience in web development and automation

·        Experience developing on Windows and Linux systems 

Although not required, the following are a plus: 

·        Experience working with Build scripts, Shell scripts, Makefiles

·        Experience with Jenkins and other CI/CD tools

·        Knowledge of RESTful web services and docker