Senior Software Engineer - SRE and AIOps

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Set and evangelize the SRE and AIOps technical strategy for EFT, establishing reference architectures, standards, and guardrails (service tiering, onboarding criteria, SLO/error budget governance) and holding teams accountable through transparent executive-level reporting
• Own the reliability and observability architecture across hybrid/multi-cloud, driving standardization of monitoring, logging, tracing, synthetics, and resilience/chaos testing
• define platform patterns that teams can adopt with minimal friction
• Design and implement AIOps and automation platforms (event correlation, anomaly detection, runbook automation, self-healing) with strong engineering discipline (testability, auditability, change safety) and prioritize initiatives that materially reduce incident volume, toil, and MTTR
• Define the reliability measurement system (SLIs/SLOs, error budgets, customer impact, MTTR/MTBF, change failure rate) and build reusable dashboards and alerts that drive consistent prioritization, investment decisions, and engineering behavior across teams
• Provide technical leadership during major incidents for critical services, driving rapid triage, clear stakeholder communications, and cross-domain coordination
• institutionalize blameless post-incident reviews and engineering mechanisms that eliminate systemic causes
• Partner with application, platform, and architecture leaders to embed reliability into planning and delivery (design and architecture reviews, operational readiness gates, non-functional requirements, capacity/performance engineering), influencing roadmaps based on quantified risk and customer impact
• Lead multi-quarter, cross-organization reliability transformations (e.g., platform modernization, resilience programs, observability convergence), delivering reusable capabilities and operating mechanisms that improve reliability posture and reduce operational risk at scale
• Strong Java / backend service development experience
• Distributed systems and API-based service design
• CI/CD pipelines and Git-based workflows
• 3+ years of experience with scripting and infrastructure automation using Terraform
• 3+ years of hands-on experience with OpenShift, GCP or Azure platform enablement and application migrations, build out of complex infrastructure programmable patterns using Infrastructure as Code (IaC)
• 2+ years of knowledge and understanding of Cloud service offerings such as data, analytics, AL/ML on GCP or Azure
• 2+ years of experience with key services provided by Azure and/or GCP such as BigQuery, Vertix AI, DataProc, Functions. AKS, Service Fabric
• 2+ years working in a globally distributed team to provide innovative and robust cloud centric solutions
• 2+ years gathering and analyzing data to diagnose the root cause of cloud workload issues, recommending and implementing solutions to resolve issues in timely manner
• Exposure to cloud governance and logging/monitoring tooling
• Experience with Agile concepts and Site Reliability Engineering (SRE) Principles
• Understanding, engineering and implementing disaster recovery and business continuity playbooks
• Proficient on container-based solutions and services and have handled large scale Kubernetes based infrastructure build out and provisioning on OpenShift, Azure or GCP
• Knowledge and understanding of Cloud Service offerings on OpenShift, Azure or GCP related to security, data protection, and policy implementations
• Ability to articulate technical solutions to both technical and business partners
• Good understanding of networking, firewalls, load balancing concepts (IP, DNS, Guardrails, Vnets) and exposure to database, cloud security, active directory, authentication methods, RBAC
• SRE / Reliability
• Production support mindset (incident response, on-call readiness)
• Observability: logging, metrics, tracing (Splunk/AppD/AppD-alikes)
• Performance, availability, and reliability engineering concepts
• Experience partnering with SRE or platform teams
• Platform / Cloud
• Kubernetes/OpenShift (deployments, troubleshooting, scaling)
• Infrastructure-as-Code exposure (Terraform/Helm is a plus)

Infrastructure-as-Code exposure (Terraform/Helm is a plus)