Site Reliability Engineering Senior Lead

About The Role

We are hiring a Senior Lead Site Reliability Engineer to define, build, and operate always-on, low-latency, and highly secure payment platforms that power large-scale financial transactions.

This is a senior technical role, not a pure operations position. You will operate at the intersection of distributed systems engineering, cloud platforms, and reliability architecture, setting technical direction and driving reliability outcomes across mission-critical, regulated systems in Payments and FinTech.

You will work across multiple teams and domains, influencing architecture, engineering practices, and operational maturity while remaining hands-on with the most complex reliability challenges.

What You Will Do

• Own and drive reliability outcomes at scale for real-time, distributed payment and transaction processing platforms with strict SLAs, SLOs, and regulatory requirements.

• Define reliability architecture and standards across services, platforms, and infrastructure—shaping how systems are designed, deployed, observed, and operated.

• Design and evolve enterprise-grade observability platforms (metrics, logs, traces, SLOs/SLIs) that provide actionable insights into system health, customer experience, and business impact.

• Lead and coordinate response to high-severity production incidents, acting as a technical authority during major events and driving deep root-cause analysis and long-term systemic fixes.

• Set strategy and drive adoption of SRE best practices including error budgets, capacity modeling, resilience testing, graceful degradation, and operational readiness.

• Architect automation and self-service platforms that eliminate toil, reduce operational risk, and enable safe, frequent production releases across teams.

• Partner with senior engineering, product, and platform leaders to influence architectural decisions, cloud migration strategy, disaster recovery posture, and long-term platform evolution.

• Mentor senior engineers and technical leads, raising the overall reliability and operational maturity of the organization.

What You Bring

• Deep software engineering expertise with a proven track record of building and operating large-scale, distributed, API-driven systems in production.

• Expertise in observability, alerting, and reliability engineering, using tools such as Prometheus, Grafana, Datadog, Splunk, ELK, or equivalent ecosystems.

• Strong command of cloud platforms and open systems (AWS, Azure, or GCP), including infrastructure-as-code, platform automation, and cloud-native design patterns.

• Significant experience running mission-critical systems in Payments, FinTech, Banking, or similarly regulated environments, where availability, correctness, and security are non-negotiable.

• Hands-on experience across Linux (RHEL), Windows, databases (e.g., Oracle RDBMS), and complex enterprise stacks with strong system-level troubleshooting skills.

• Demonstrated leadership in incident management, post-incident reviews, and continuous reliability improvement, with the ability to influence behavior and standards across teams.

• Ability to operate effectively at Staff level scope—solving ambiguous problems, making trade-offs, and driving alignment across multiple teams and stakeholders.

Added Advantage

• Strong automation and scripting skills using Python, Bash, Ansible, or similar tools.

• Experience building or scaling CI/CD platforms and release automation in high-risk production environments.

• Prior ownership of reliability strategy or platform initiatives spanning multiple teams or business units.

• Experience modernizing legacy financial systems into cloud-native or hybrid architectures with a focus on resilience and compliance.

Why Join Us

• Work on high-impact payment platforms operating at massive scale, where milliseconds and reliability directly affect real-world commerce.

• Play a Staff-level role in defining reliability strategy for systems that cannot fail.

• Join a culture that values engineering excellence, technical leadership, automation, and continuous learning.