PhotonMatters

Job Summary

We are looking for an experienced Project Manager to lead and manage FinTech projects including digital payments, lending platforms, banking integrations, and financial applications. The candidate will be responsible for planning, executing, and delivering projects on time while coordinating with cross-functional teams.

Key Responsibilities

• Manage end-to-end project lifecycle from planning to delivery.
• Work closely with product, engineering, QA, and business teams to ensure project alignment.
• Define project scope, timelines, deliverables, and milestones.
• Track project progress and ensure timely delivery within budget.
• Identify project risks and develop mitigation plans.
• Coordinate with stakeholders, clients, and senior management for updates and reporting.
• Manage Agile/Scrum ceremonies such as sprint planning, stand-ups, and retrospectives.
• Ensure compliance with financial regulations and security standards.
• Monitor project performance metrics and provide regular status reports.
• Support product releases, integrations, and deployment planning.

Required Skills

• Strong experience in project management methodologies (Agile / Scrum / Waterfall).
• Experience working with FinTech products such as payments, lending platforms, banking systems, or digital wallets.
• Excellent stakeholder management and communication skills.
• Ability to manage multiple projects simultaneously.
• Strong problem-solving and decision-making skills.
• Experience with project management tools (JIRA, Confluence, Trello, Asana, MS Project).

Preferred Qualifications

• Experience in banking, payments, lending, or financial platforms.
• Understanding of APIs, integrations, and financial systems.
• PMP, Scrum Master, or Agile certification is a plus.
• Experience working with international teams or clients.

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

Job Title: Data Engineer

Experience: 4–14 Years

Work Mode: Remote

Employment Type: Full-Time

Position Overview:

We are looking for highly experienced Senior Data Engineers to design, architect, and lead scalable, cloud-based data platforms on AWS. The role involves building enterprise-grade data pipelines, modernizing legacy systems, and developing high-performance scoring engines and analytics solutions and collaborate closely with architecture, analytics, risk, and business teams to deliver secure, reliable, and scalable data solutions.

Key Responsibilities:

·      Design and build scalable data pipelines for financial and customer data

·      Build and optimize scoring engines (credit, risk, fraud, customer scoring)

·      Design, develop, and optimize complex ETL/ELT pipelines (batch & real-time)

·      Ensure data quality, governance, reliability, and compliance standards

·      Optimize large-scale data processing using SQL, Spark/PySpark, and cloud technologies

·      Lead cloud data architecture, cost optimization, and performance tuning initiatives

·      Collaborate with Data Science, Analytics, and Product teams to deliver business-ready datasets

·      Mentor junior engineers and establish best practices for data engineering

Key Requirements:

·      Strong programming skills in Python and advanced SQL

·      Experience building scalable scoring or rule-based decision engines

·      Hands-on experience with Big Data technologies (Spark/PySpark/Kafka)

·      Strong expertise in designing ETL/ELT pipelines and data modeling

·      Experience with cloud platforms (AWS/Azure) and modern data architectures

·      Solid understanding of data warehousing, data lakes, and performance tuning

·      Knowledge of CI/CD, version control (Git), and production support best practices