Systems Engineer

Salary: $114,000 - 124,800 per year Requirements: 10+ years of experience supporting or deploying highly distributed, multi-tier systems at scale 4+ years of direct AWS cloud support and migration expertise Strong knowledge of Linux, networking fundamentals, and ITSM operational standards Extensive experience with Oracle databases and PL/SQL Proven capability in analyzing and supporting batch scheduling systems; Autosys experience is a plus Familiarity with Kubernetes or container orchestration platforms Understanding of distributed, service-based systems with high concurrency Proficiency in scripting and automation (Python, Shell, etc.) Experience with CI/CD pipelines and DevOps methodologies Knowledge in monitoring, logging, and alerting at scale Bachelors degree in a technology-related discipline or equivalent experience required Masters degree preferred AWS certification is a plus Responsibilities: Provide Level 2 production support for applications (approximately 70%) and batch processing (approximately 30%) Evaluate the business impact of incidents through direct interactions with customers and stakeholders Troubleshoot and rectify application, batch, and data-related issues utilizing application tools and databases Respond to system alerts, business queries, and data quality concerns with urgency and accuracy Offer prompt assistance for main operational systems, including during on-call weeks Analyze code (PL/SQL, Perl, Shell scripts) for troubleshooting and propose enduring solutions Develop and enhance PL/SQL stored procedures, functions, triggers, and packages Collaborate with development teams to coordinate fixes and implement changes in production Review existing platforms and suggest improvements in automation, CI/CD practices, security, and observability Contribute to the scalability, resiliency, and operational stability of distributed systems Support and manage highly resilient AWS cloud environments Work with containerized workloads, particularly using Kubernetes Utilize modern monitoring and observability tools like DataDog, Prometheus, and Splunk Maintain systems managed through Infrastructure as Code (Terraform, Chef, IAM, ARM, etc.) Ensure high availability in complex, distributed, multi-tier architectures Participate in an on-call rotation, including limited weekend support Work collaboratively with a globally distributed team using a follow-the-sun model Mentor and support fellow team members through knowledge sharing and technical leadership Technologies: ARM AWS CI/CD Cloud Datadog DevOps IAM Support ITSM Kubernetes Linux Oracle Perl Prometheus Python SQL Security Splunk Terraform AI More: We are a leading strategic consulting firm in the financial services sector, dedicated to producing human-powered solutions. Our dynamic Production/Site Reliability Engineering team is based in Merrimack, NH, where we focus on production stability and operational excellence. We offer a hybrid work model and a vibrant, collaborative environment that values responsiveness and reliability. Our comprehensive benefits package includes medical, dental, vision coverage, a 401k plan with company matching, and life insurance. Join us as we strive to make a positive impact in the lives of our employees and clients. last updated 38 week of 2026