Software Engineer

Work Mode: Hybrid- 4 days onsite in Fort Mill

Responsibilities:

• Take ownership of technical outcomes, raise the bar for engineering quality, and share expertise to support others.
• Mentor peers, influence decisions through hands-on leadership, and build capability by collaborating across teams.
• Partner with product, platform, operations, and security teams to embed reliability into the software development lifecycle (SDLC).
• Define and track KPIs for reliability, performance, and operational efficiency.
• Lead production incident management, including detection, triage, escalation, and resolution.
• Manage major incident response (MIR) for critical outages, ensuring rapid mitigation and clear stakeholder communication.
• Conduct blameless postmortems, ensuring actionable follow-ups and systemic improvements.
• Establish runbooks, playbooks, and operational readiness standards for supported services.
• Drive continuous improvement in incident response processes, tooling, and readiness.
• Automate operational processes including incident response, failover, scaling, and recovery.
• Implement self-healing mechanisms using auto-remediation, event-driven workflows, and AI/ML-assisted operations where applicable.
• Implement Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.
• Reduce manual toil through CI/CD pipelines, automated testing, and deployment strategies (blue/green, canary releases).
• Implement observability frameworks across metrics, logs, and traces and standardized tooling.
• Drive a data-driven reliability culture, using observability insights to proactively identify and eliminate system risks.
• Define and implement SLIs, SLOs, SLAs, and error budgets across all critical services.
• Apply resilient design patterns (multi-region failover, active-active architectures, circuit breakers, bulkheads).
• Ensure platforms are designed for high availability (HA), fault tolerance, and disaster recovery (DR) aligned with financial market uptime requirements.
• Lead deep-dive investigations into platform failures, performance bottlenecks, and systemic issues across complex, multi-tiered architectures.

Requirements:

• Proven technical experience in SRE, DevOps, and/or Platform Engineering in large-scale, regulated environments.
• Deep technical expertise in both on-premise and AWS cloud-native architecture and systems design.
• Experience with AWS services such as EKS/ECS, Lambda, API Gateway, DynamoDB, Aurora, and S3.
• Experience with Database and Data Platforms: SQL Server, Sybase, PostgreSQL (including Aurora).
• Unix/Linux, Java, C#.NET, Python application support and development.
• Strong implementation experience with observability tooling and frameworks for metrics, logs, and traces.
• In-depth experience with incident management and production operations.
• Hands-on experience with CI/CD pipelines, Git, automation, scripting, and IaC tools.
• Demonstrable application of agentic AI engineering in observability, incident management, and automated recovery.
• Strong understanding of networking, security, and reliability engineering principles.
• Experience defining and implementing SLOs, SLIs, and error budgets.

Preferred Skills:

• Experience in financial services or other data-intensive, regulated industries.
• Familiarity with multi-region AWS architecture, high-availability, mission-critical applications.
• Knowledge of chaos engineering practices and resilience testing.
• Exposure to AIOps and intelligent automation frameworks.

Personal Attributes:

• Calm, decisive, and effective under pressure.
• Strong communicator with the ability to engage both technical and non-technical stakeholders.
• Strategic thinker with a hands-on approach to problem-solving.
• Passionate about service reliability, architectural clarity, and continuous improvement.