Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We Will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now We’re seeking a seasoned Site Reliability Engineer (SRE)who thrives at the intersection of software engineering, infrastructure, and AI systems. You’ll help ensure our platforms are scalable, reliable, and secure—while also contributing code, automation, and architectural improvements that support both traditional services and AI-driven workloads. This role is ideal for someone who thinks like a developer, understands AI infrastructure, and is passionate about reliability, observability, and operational excellence. Key Responsibilities Design, build, and maintain scalable infrastructure and automation tools for both traditional and AI-based systems. Develop software solutions to improve system reliability and reduce manual toil. Implement and manage CI/CD pipelines, including model deployment workflows. Monitor system performance, availability, and security using modern observability tools. Collaborate with data science and ML engineering teams to support AI/ML model training, serving, and lifecycle management. Lead incident response, root cause analysis, and postmortem processes. Advocate for SRE principles across engineering and AI teams. Qualifications 5+ years of experience in SRE, DevOps, or software engineering roles. Strong programming skills in languages such as Python, Java, etc. Experience supporting AI/ML workloads (e.g., model training, inference, GPU orchestration). Deep understanding of Linux systems, cloud platforms (Primarily Azure, AWS), and container orchestration. Experience with infrastructure-as-code tools (Terraform, Ansible, GitHub, etc.). Proficiency in monitoring and logging tools (Dynatrace, etc.). Solid grasp of networking, security, and distributed systems. Excellent communication and collaboration skills. Nice to Have Experience with AI model observability, drift detection, or performance monitoring. Contributions to open-source SRE, DevOps, or ML infrastructure tools. Certifications in cloud platforms. Why Join Us? Work with cutting-edge technologies in a fast-paced, collaborative environment. Influence the reliability strategy of mission-critical and AI-powered systems. Competitive compensation, benefits, and flexible work arrangements. Compensation Pay Disclosure Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
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