Mastercard

Mastercard

Software Engineer II (Full-Stack - Java - React)

Vancouver, Canada · Mid

Sponsorship not specified$91k-$140kDetected 1 day ago
JavaReactSpringFull-Stack DevelopmentCode ReviewGitSQLRedisAWSDockerKubernetesPrometheusGrafanaRESTAgileJUnitJMeterLoad TestingProblem SolvingOrganizational Skills

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odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 41 green-card filings in this occupation, 95% were for a worker who already held the job.

Green-card follow-through: 100%

Of 36 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 481 days.92% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are looking for a Software Engineer II to join our DMP team for the Decision Operations product in Vancouver office.
  • Are you a technical programmer with experience working on high performance applications?
  • Do you want to be part of a team which helps prevent fraud on every Mastercard transaction in this world?

Responsibilities

  • This program leverages business rules & AI engines, a streaming big data cluster, an in-memory data grids, APIs, & UIs to deliver real time decisions at global scale.
  • Own software delivery tasks (code development, test, deployment, support, documentation, configuration) at an application/software component level
  • Provide support by troubleshooting production incidents and implementing corrective and preventive actions
  • Understands the use of basic design patterns (e.g., factory, adaptor, singleton, composite, observer, strategy, inversion of control)
  • Familiar with different application patterns to implement different types of business processes (e.g., APIs, event-driven-services, batch-services, web-applications, big data)
  • The AI & DPE program enables intelligent decision-based products through streaming analytics with the ability to govern these decisions and manage their outcomes with business agility.
  • writing code to develop a piece of code as well as write code to test it?
  • Adopt best development practices, new languages, architecture patterns to write well designed, maintainable, testable, scalable, and secure code.
  • Perform code reviews, refactoring and writing technical documentation of APIs and services being delivered
  • Strong organizational skills; able to manage multiple tasks within the constraints and timelines determined by business needs.

Requirements

  • Are you excited about getting a 360 degree view of the coding world
  • Full Stack developer with the ability to write secure code in couple of languages (e.g., Java, SQL, React)
  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • Experience with performance testing using JMeter/Blazemeter and developing cloud native apps using AWS, Docker, Kubernetes etc.

Skills

  • Knowledgeable of Spring and other frameworks.
  • Excellent at problem-solving with creative troubleshooting skills
  • Experience using observability framework/tools like Splunk, Dynatrace, Prometheus, Open Telemetry, Grafana, Loki, Tempo, Druid

Compensation

  • In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role an

Benefits

  • Demonstrate active learning and sharing of software practices via Guild/Engineering community initiatives
  • Understands and builds test code at unit level, service level, and integration level to ensure code and functional coverage (e.g. Junit, Mockito etc)
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This listing is sourced directly from Mastercard's careers page and normalized into a canonical job model.