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Mastercard

Senior Software Engineer

AI in this role

Lead software engineer to build and scale cloud-native digital commerce platforms with strong focus on SRE and test automation practices.

awsci-cdkubernetesdocker
software-engineeringsredistributed-systemscloud-native

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer

Job title: Senior Software Engineer


Overview:

Join our mission-driven team building the future of digital commerce on our rapidly scaling Priceless Platform. As an engineering leader, you will leverage your expertise in leading high-visibility projects and hands-on technical knowledge to help us achieve flawless execution. We are experiencing tremendous growth as a premium B2B2C (Business to Business to Consumer) platform delivering world-class experiences to Mastercard’s banking partners globally.
Acquired after being a successful startup, we maintain our drive for innovation and velocity even as part of Mastercard. This is an opportunity to join a collaborative, cloud native engineering culture focused on reliability and scale. You will collaborate with talented engineers, guide adoption of technologies like AWS (Amazon Web Services) and ensure operational excellence as our portfolio expands exponentially. If you are an engineering leader passionate about developing people, being hands-on, and enabling business growth through technology, we want to hear from you. Together we will build on our momentum and create the future of digital commerce.

The Role

As a Senior Software Engineer, you will lead projects to enable reliability, security, and velocity on our Priceless Platform. You will help recruit top talents, grow the team and mentor them to establish SRE practices like chaos engineering, observability, and progressive rollouts. Partnering with Quality Engineers, you will write automated tests and shape them. Collaborating with platform engineers, you will guide automation of infrastructure provisioning, scaling, and more. As part of the team, you will help build frameworks to integrate automated testing into CI/CD pipelines across multiple languages and frameworks. With your technical expertise and leadership, you will promote a culture of site reliability, test automation, shared ownership, and transparency. An effective communicator, you will work cross-functionally to translate business needs into appropriate engineering reliability and testing solutions. As we rapidly expand our portfolio, your principles and disciplined approach will help us scale without sacrificing quality.

This is an opportunity to join a collaborative, innovative engineering culture and make an impact by leading some of our most mission-critical initiatives. We want engineering leaders who can raise our bar for technical and cultural excellence. You will focus on the areas of test automation, CI/CD pipeline creation, and infrastructure automation. This role is based out of our Mastercard location in Pune, India.

Responsibilities

• Hands on implementor – in test automation, performance testing, functional automation, test data management. As well as infrastructure automation
• Collaborate with test automation engineers, exemplifying technical expertise and fostering a culture of excellence through knowledge sharing and mentorship.
• Instill a culture of site reliability, shared ownership, and automation across the organization. Lead technical design reviews and code quality processes focused on reliability, security, and testability.
• Drive SRE practices like chaos engineering, progressive rollout, and DevOps collaboration to bolster resilience.
• Architect monitoring, logging, and alerting to provide end-to-end observability.
• Tune performance and scalability via load testing, capacity planning, and architectural improvements.
• Develop playbooks for incident response, disaster recovery, and post-mortem analyses.
• Spearhead test automation frameworks, harnesses, and CI/CD integration for comprehensive test coverage.
• Be a part of on-call support for critical production systems on a rotating basis.
• Continuously improve SRE and test automation through emerging technologies and methodologies.
• Manage test environments, data, and infrastructure to enable comprehensive testing.
• Enable velocity through agile processes, CI/CD adoption, and fast release cycles.
• Foster regular skill development and provide coaching to help teams reach their potential. Motivate and inspire the teams through servant leadership and collaborative culture.

Your background and experience

• You have been working as a technical lead for 7+ years, in Test Automation, SRE or DevOps
• Hands on experience on Playwright with typescript/Python Test Automation along with Git Actions and AWS.
• A track record of delivering complex technical solutions in fast-paced environments.
• Proven and enthusiastic Cloud/AWS Engineering technical leadership experience
• You have a direct, hands-on background in leading high-visibility projects and collaborating closely with and contributing technical skills in high-performing engineering teams across multiple regions
• Experience taking part in & leading code reviews, refactoring, gathering code quality metrics.
• Effective communication skills, both verbal and written, with strong relationship, collaborative, and organization skills.
• Deep, hands-in, understanding of AWS with hands-on ability in developing, deploying, and securing services, ideally in regulated environments.
• Experience with software development productivity metrics (e.g., code churn, commit size, test coverage,) and help to continuously improve code velocity, quality, and release frequency.
• Experience in using code and scripts to provision, configure and manage the underlying infrastructure resources including servers, networks, databases and other components.
• Practitioner of automation/configuration management, deployment strategies (blue/green, canary, A/B testing, feature flags), and logging and monitoring practices for high availability.

Education:

Bachelor or Master’s Degree in Computer Science or equivalent

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that helps everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.




How we rate this

Senior Software Engineer at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringSreDistributed SystemsCloud NativeAWSCI/CDKubernetesDocker

Also common in software engineer jobs at this level

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where sre was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where cloud native was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Sre, Distributed Systems, Cloud Native, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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