Senior Manager, Software Engineering

Jobtailor; Norcross (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor in Norcross, GA seeks a senior engineering leader to guide a cross-functional team delivering distributed systems. You will drive platform modernization, define technical direction with Architecture, and own end-to-end SDLC from planning to production operations.

You will emphasize low-latency, high-throughput design, automated testing, security-by-design, observability, and a strong AI/ML delivery mindset in a regulated environment.

Qualifications

• 8+ years in software engineering building distributed systems.
• 4+ years leading teams (engineering + DevOps and/or QE leadership preferred).
• Proven experience delivering low-latency, high-throughput systems in regulated environments.
• Hands-on Kubernetes and cloud-native architectures experience.
• Strong emphasis on automated testing, security-by-design, observability and disciplined release practices.
• Experience delivering AI projects in production or production-like environments.

Responsibilities

• Lead and grow a cross-functional team spanning backend, frontend, DevOps, and QE.
• Own delivery for roadmap initiatives and platform modernization across SDLC.
• Establish technical direction with Product Management and Architecture.
• Drive performance and latency engineering with SLOs and budgets.
• Build operational readiness: observability, runbooks, safe rollouts, rollback practices.
• Lead cloud-native delivery on Kubernetes and evolve CI/CD with Ansible, Nexus, and Kubernetes workflows.
• Promote a quality-first culture with automated testing and AI-enabled SDLC initiatives.

Skills

Java backend development

Angular

Kubernetes

Tools

Ansible

Nexus

Kubernetes

OpenShift

Azure

AWS

Job description

Responsibilities

• Lead and grow a cross‑functional team spanning backend, frontend, DevOps/Platform engineering, and Quality Engineering
• 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
• Drive performance and latency engineering: define latency/throughput SLOs, performance budgets, regression testing, and capacity planning
• Build operational readiness: observability, runbooks, safe rollouts, and rapid rollback practices
• Lead the team’s cloud‑native delivery model on Kubernetes
• Own and evolve CI/CD and artifact practices using technologies such as Ansible, Nexus, and Kubernetes‑native release workflows
• Build a “quality‑first” culture with an automated testing strategy
• Lead delivery of AI‑enabled initiatives in AI‑accelerated SDLC and AI/ML solution delivery
• Establish responsible AI usage practices and enforce safe prompting and data handling
• Coach engineers, DevOps, and QE leads; build career plans, performance feedback loops, and hiring strategies

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)
• 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)
• Strong engineering excellence mindset: automated testing, security‑by‑design, observability, and disciplined release practices