Senior Site Reliability Engineer (Data & Automation Focus)

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

SS&C Blue Prism allows organisations to deliver transformational business value via our intelligent automation platform. We make products with one aim in mind - to improve experiences for people. By connecting people and digital workers, you can use the right resource, every time, for the best customer and business outcomes. We supply enterprise-wide software that not only provides full control and governance, but also allows businesses to react fast to continuous change. Exceed customer expectations, stay competitive, accelerate growth.

We are seeking a Senior Site Reliability Engineer (SRE) with a strong focus on data platform engineering, internal automation, and reporting systems. In this role, you will operate at the intersection of SRE and Data, owning the reliability, scalability, and evolution of our internal data ecosystem. You will design and build data pipelines, reporting infrastructure, and automation frameworks that improve operational visibility, decision-making, and system efficiency. The successful candidate will look to establish a reliable, observable data platform, deliver production-grade data pipelines and reporting systems, improve data quality and accessibility and enable self-service analytics across the organisation.

What You Will Get To Do:

• Data Platform Reliability & Architecture - Design, build, and maintain a scalable and reliable data platform - Apply SRE principles (SLIs/SLOs, observability, fault tolerance) to data pipelines and data services - Define data architecture, models, and standards aligned with business needs - Ensure high availability and performance of data systems and reporting layers
• Data Engineering & Pipeline Development - Build and maintain ETL/ELT pipelines integrating multiple internal and external data sources - Optimise data workflows for performance, cost, and scalability - Ensure data quality, integrity, and consistency across systems - Troubleshoot and resolve pipeline failures and data inconsistencies
• Internal Automation & DataOps - Automate operational processes using scripting, APIs, and Infrastructure as Code - Implement DataOps practices, including CI/CD for data pipelines and workflows - Reduce manual reporting and operational overhead through automation - Build reusable frameworks for internal data tooling
• Monitoring, Observability & Incident Response - Implement monitoring and alerting for data pipelines, data freshness, and reporting systems - Define SLIs/SLOs for data availability, latency, and accuracy - Lead incident response and root cause analysis for data-related issues - Establish observability standards across data and platform systems - Join the out-of-hours on-call Rota (typically once every 3-4 weeks) once suitably skilled and appropriately trained.
• Analytics & Reporting Enablement - Develop and maintain dashboards and reporting solutions (e.g., Power BI or similar tools) - Partner with stakeholders to translate business needs into data solutions - Enable self-service analytics and improve data accessibility - Deliver actionable insights to support decision-making
• Infrastructure & Scalability - Support and optimise cloud-based data infrastructure (AWS, Azure, or GCP) - Implement scalable storage, compute, and orchestration solutions - Collaborate with engineering teams to ensure systems produce reliable data
• Cross-Functional Collaboration - Act as a bridge between Engineering, Operations, and Business teams - Promote best practices across SRE, DevOps, and Data Engineering - Contribute to a culture of automation, reliability, and continuous improvement

What You Will Bring:

• 5+ years in SRE, Data Engineering, or DevOps roles
• Strong programming/scripting skills (Python, SQL, Bash)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Strong experience with data modelling and pipeline development
• Experience implementing monitoring and observability systems
• Experience with Infrastructure as Code (Terraform, etc.)
• Experience with BI tools (Power BI, Tableau, Looker)

Preferred Qualifications

• Experience building a data platform from scratch
• Familiarity with DataOps and governance frameworks
• Experience with Docker and Kubernetes
• Familiarity with AI tooling and experience using it to enhance output

Why You Will Love It Here!

• Your Future: Professional Development Reimbursement, including access to SS&C University
• Work/Life Balance: Competitive holiday scheme
• Your Wellbeing: Competitive benefits designed to support the well-being of our staff
• Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
• Training: Hands-On, Team-Customised throughout your career

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website @ www.ssctech.com/careers.

Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.