Sr Mgr Software Engineering

ACI Worldwide•Norcross, GA

8d•Hybrid

About The Position

Powering the world’s payments ecosystem ACI powers the payments ecosystem – globally, and you power ACI. You’ll innovate, collaborate, and grow – in an energetic technology culture with decades of proven success. ACIers – in all roles and levels – are truly your colleagues and many are your friends. Our size and reach allow you to see the global impact of your work. You are visible, your talents are valued, and you are empowered to shape the future of payments. As a Sr. Mgr. Software Engineering in Norcross, GA , you will join a diverse, passionate team, dedicated to powering the world’s payments ecosystem! Role Summary We are seeking a hands-on Sr. Engineering Manager to lead a cross-functional team (Software Engineering, DevOps/Platform, Support and Quality Engineering) building and operating a low-latency, high-throughput core banking product platform . You will be accountable for end-to-end delivery: architecture-to-production execution, operational excellence, reliability, security/compliance, and an automation-first quality strategy. You will also bring demonstrated experience delivering AI-enabled initiatives and implementing AI-based solutions in production .

Requirements

8+ years in software engineering building distributed systems
4+ years leading teams (engineering + DevOps and/or QE leadership experience strongly preferred)
Proven experience building and operating low-latency, high-throughput systems in banking, payments, or other regulated transaction platforms
Hands-on expertise with: Kubernetes and cloud-native architectures (microservices, containerization, orchestration)
Java backend development (high-performance, concurrent, resilient services)
Angular (modern web UI, performance-minded frontend engineering)
Ansible (automation/configuration management)
Nexus (artifact repository and dependency management)
Cloud Infrastructure (Familiarity with deployment and development on public and private cloud Azure, AWS, OpenShift)
Demonstrated delivery of AI projects implemented in real environments (production or production-like), such as: GenAI-assisted developer workflows with measurable outcomes (quality/velocity/defect reduction), and/or AI/ML capabilities embedded into product or operations (e.g., automated diagnostics, anomaly detection, intelligent triage, or similar).
Strong engineering excellence mindset: automated testing, security-by-design, observability, and disciplined release practices.

Nice To Haves

Experience with GitOps and Kubernetes platform components (policy-as-code, secrets management, progressive delivery).
Experience with regulated environments and compliance constraints (PCI/GDPR/SOC2) and integrating security controls into CI/CD.
Experience scaling test automation and implementing testing pyramids and coverage standards across multiple teams.
Familiarity with internal developer platform concepts (“golden paths”, self-service, reduced cognitive load).
Carvel toolchain (e.g., ytt, kapp-controller) for packaging/config/deploy workflows
Testkube for test orchestration and automation

Responsibilities

Lead and grow a cross-functional team spanning backend, frontend, DevOps/Platform engineering, and Quality Engineering; drive strong ownership, execution discipline, and continuous improvement.
Own delivery for roadmap initiatives and platform modernization across the full SDLC: planning, design, implementation, reviews, testing, release, and production operations.
Establish and communicate technical direction in partnership with Product Management and Architecture to ensure the platform meets business goals and non-functional requirements.
Drive performance and latency engineering: define latency/throughput SLOs, performance budgets, regression testing, and capacity planning to maintain predictable low-latency behavior under load.
Build “always-on” operational readiness: observability (logs/metrics/traces), runbooks, safe rollouts (feature flags, progressive delivery), and rapid rollback practices.
Partner with Platform/SRE functions to ensure Kubernetes runtime reliability patterns (HA, scaling, and operational tooling) are built into the product delivery lifecycle.
Lead the team’s cloud-native delivery model on Kubernetes (including GitOps-based deployment and configuration-as-code).
Own and evolve CI/CD and artifact practices using technologies such as Ansible, Nexus, Carvel toolchain (e.g., ytt, kapp-controller), and Kubernetes-native release workflows.
Ensure secure, repeatable environment provisioning and reliable deployments across dev/test/stage/prod with automation as the default.
Build a “quality-first” culture with an automated testing strategy across unit/integration/e2e, with strong coverage targets and non-negotiable quality gates.
Implement and operationalize modern test orchestration and automation tooling, including Testkube, and enforce reliable, maintainable CI test execution.
Drive security and compliance testing as part of CI/CD (SAST/DAST/dependency scanning), ensuring regulated-workload readiness and auditability.
Lead delivery of AI-enabled initiatives in two dimensions: AI-accelerated SDLC (planning, code review, test generation, documentation, defect reduction), and AI/ML/GenAI solution delivery where AI is part of the shipped product or operational capability.
Establish responsible AI usage practices: teams are encouraged to use AI, but remain accountable for outputs; validate correctness, security, and maintainability before merging.
Enforce safe prompting and data handling: never place secrets/credentials/PCI/PII into prompts; use placeholders and abstractions.
Coach engineers, DevOps, and QE leads; build career plans, performance feedback loops, and hiring strategies to raise the talent bar.
Collaborate with Product, Security, Compliance, and Operations leaders to deliver outcomes with transparency, predictable execution, and clear metrics.