Solution Architect

Fulcrum Worldwide Software; Pune District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Mastercard is seeking a senior technical leader to define and drive modernization strategies, evolving legacy systems toward scalable, cloud-native architectures. You will design platform architectures, lead high-level and detailed design, and contribute hands-on across the full engineering lifecycle to deliver quality software.

You will guide distributed teams, conduct architecture reviews, and mentor engineers to advance best practices in security, observability, and performance while aligning

Qualifications

• 6+ years of software engineering experience delivering scalable, high-performance, and reliable software in an agile environment.
• Proven expertise leading system architecture, high-level design, detailed design, and end-to-end technical delivery of complex software solutions.
• Experience driving technology modernization initiatives, including cloud adoption and platform transformation.

Responsibilities

• Define and drive technical strategy for modernization initiatives, including evolution of legacy systems toward scalable, cloud-native architectures.
• Lead system design across platform architecture, high-level design, and implementation approaches.
• Serve as a hands-on technical contributor—from design and development to testing and delivery of production-quality software.
• Build and evolve scalable services, APIs, data pipelines, and analytics capabilities using cloud platforms and Databricks/Spark.
• Coordinate and lead technical execution across globally distributed engineering teams, aligning design decisions and milestones.
• Drive architecture reviews, code reviews, and technical decision-making to ensure secure, observable, and performant solutions.
• Mentor junior and mid-level engineers through design guidance and knowledge sharing.

Skills

Distributed systems

RESTful APIs

Cloud-native

AWS

Azure

CI/CD

Kubernetes

Mentorship

Architectural leadership

Technical strategy

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Spark/PySpark

Job description

Define and drive technical strategy for modernization initiatives, including evolution of legacy systems toward scalable, cloud-native, API-driven, and service-oriented architectures.

• Lead system design across multiple levels of detail, including platform architecture, high-level design, detailed technical design, integration patterns, non-functional requirements, and implementation approach.
• Serve as a hands-on technical contributor, designing, coding, testing, debugging, and delivering production-quality software across the full

engineering lifecycle.

• Build and evolve scalable services, APIs, data pipelines, and analytical capabilities using modern engineering practices, cloud platforms, and data technologies such as AWS, Azure, Databricks, Spark/PySpark, and related frameworks.
• Partner closely with product managers, engineering teams, architects, data scientists, QA, security, and operations teams to translate business and functional requirements into robust technical solutions.
• Coordinate and lead technical execution across globally distributed engineering teams, ensuring alignment across regions, time zones, dependencies, design decisions, and delivery milestones.
• Drive architecture and design reviews, code reviews, technical decision-making, and engineering tradeoff discussions to ensure solutions are secure, resilient, observable, performant, maintainable, and aligned with enterprise standards.
• Identify opportunities to improve platform scalability, reliability, developer productivity, operational readiness, and speed of delivery through modernization, automation, reusable patterns, and engineering best practices.
• Provide technical mentorship to junior and mid-level engineers through design guidance, code review, pairing, knowledge sharing, and modelling strong engineering judgment.
• Navigate ambiguity in complex initiatives by clarifying technical direction, decomposing large problems, identifying risks, and driving alignment across stakeholders.
• Mastercard Confluence ExportChampion a culture of engineering excellence, continuous improvement, ownership, collaboration, and high-quality delivery across the team and partner organizations.

Requirements

Qualifications

• 6+ years of software engineering experience delivering scalable, high-performance, and reliable software in an agile environment.
• Strong hands-on experience designing and building distributed systems, microservices, RESTful APIs, and cloud-native applications.
• Strong experience with data-intensive applications and analytics platforms; experience with Databricks, Spark, or PySpark is highly desirable.
• Proven expertise leading system architecture, high-level design, detailed design, and end-to-end technical delivery of complex software solutions.
• Experience driving technology modernization initiatives, including cloud adoption, platform transformation, and modernization of legacy

applications.

• Hands-on experience with AWS and/or Azure, CI/CD, containerization, Kubernetes, observability, and modern software delivery practices.
• Demonstrated technical leadership as an individual contributor, influencing architecture decisions, driving technical strategy, and leading large

cross-team initiatives.

• Ability to translate business and product requirements into scalable, secure, and maintainable technical solutions.
• Excellent collaboration and communication skills, with a proven ability to work effectively across engineering, product, architecture, data science,

QA, and operations teams.

• Experience leading and coordinating technical initiatives across globally distributed teams spanning multiple regions and time zones.
• Passion for mentoring and developing engineers through technical guidance, design reviews, and knowledge sharing.
• Strong problem-solving skills with the ability to work through ambiguity, make sound technical decisions, and drive results through hands-on

execution.

• Bachelors degree in Computer Science, Software Engineering, or a related technical field; advanced degree is a plus.