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HomeCompaniesDynamic YieldApplication DevOps Engineer
DY
DYNAMIC YIELDACTIVELY HIRING

Application DevOps Engineer

Gurugram
Not Disclosed
1 to 5 Yrs
Full time
3/16/2026
Salary Range
Not Disclosed
Experience
1 to 5 Yrs
Job Location
Gurugram
Remote Work Policy
Not specified
Visa Sponsorship
Not specified
Relocation
Not specified
Skills
PythonGoSQLData WarehousingAPIsNoSQLContainer OrchestrationStreaming Data Platforms
Industry
IT Services & Consulting
Hiring Status
ACTIVELY HIRING
Hiring Contact
DY
Dynamic Yield
Recruiter

Job Description

Overview

As a Software Engineer in the A2A RS Operations team, reporting to the Director, your role involves: - Building automatic monitoring tools for complex, data science-based microservice deployments. This includes ensuring that models effectively detect fraud and money laundering, predict future trends accurately, and provide valuable economic insights. - Collaborating with Data Scientists to gather data and train models for improving service accuracy and reducing unnecessary alerts. - Working closely with Engineers to develop resilient microservices that are self-healing and adhere to operational best practices. - Engaging with various technology stacks in the UK and internationally. - Utilizing Incident Management processes and automating tasks while integrating with Mastercard's ticketing systems. - Communicating effectively with internal stakeholders, collaborators, as well as technical and business functions within client organizations. Your qualifications and experience should include: - A passion for building robust services that address critical issues in the financial services industry. You should enjoy teamwork and have an interest in deploying advanced algorithms as product offerings. - Enthusiasm for adopting new technologies and development approaches within an enterprise environment. Detail-oriented nature with a willingness to write and review code. - Experience of at least 1 year in software development, data science, devops, operations, or related fields. - Comfort in interacting with diverse stakeholders, such as subject matter experts, data scientists, software engineers, and enterprise devops and security professionals. - Proficiency in Python and Go programming languages or a willingness to learn. - Strong understanding of traditional data warehousing, including SQL proficiency and optimization of large relational databases. - Familiarity with modern service design practices, such as containerization, container orchestration, streaming data platforms, APIs, and in-memory/NoSQL stores. Please note that the company's additional details were not provided in the job description.