• Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. • Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. • Strengthen our observability across metrics, logs, traces, and alerting. • Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. • Look after PostgreSQL: performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. • Mentor engineers on reliability and database fundamentals through code review, design review, and pairing.

Role Description You’ll work with the development team to build and maintain our legacy claim auditing system. You’ll analyze the needs and the environment to make sure the solution you’re developing considers the current architecture and operating environment as well as future functionality and enhancements. Qualifications - Masters or bachelor’s in engineering in IT/ Electronics / Communication / Computer Science / Information Systems. - Extensive experience with large datasets and relational database (Microsoft SQL Server). - Experience with SQL, PLSQL, T-SQL, Hadoop, Python, Java knowledge. - Experience in SQL optimization and tuning of SQL queries using SQL profiler and query execution plan. - Experience with ETL processes. - Experience with QA in SQL environment. - Experience in Agile environments. - In-depth understanding of SDLC. - Experience with addressing operational data issues. - Experience with Healthcare data and health forms. - Experience in advanced analytics. - Experience with data issues to ensure optimal performance. Requirements - Healthcare experience is a must. - Good knowledge of the medical claim, member, and provider data. - Should have worked on agile-based projects. - Modify existing programs to new standards and conduct unit testing of developed programs. - Create migration packages for system testing, user testing, and implementation. Benefits - This is a remote position. Company Description - Excellent verbal and written communication skills. - Strong organizational skills and adaptability to rapidly changing priorities and workloads. - Ability to work well independently and maintain focus in a highly dynamic work environment. - Comfort in working with team members that are remote and located in the US, India, or other geographies.

Role Description GoDaddy is seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our dynamic team. This role will focus on automating and maintaining our storage infrastructure with a focus on Ceph, ensuring the reliability, scalability, and performance of our systems. - Automate and maintain day-to-day operations of storage systems to support application demands - Develop and maintain tools and automation scripts to streamline storage operations and improve efficiency - Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability - Participate in agile concepts such as daily stand-up meetings, task tracking boards, design and code reviews, automated testing, continuous integration, and deployment - Continuously improve system reliability, performance, and capacity through proactive monitoring, automation, and optimization Qualifications - 2+ years of professional experience with Ceph, working in a production environment - 2+ years of experience in site reliability engineering or a similar role - 2+ years of professional experience with Ceph, including deployment, configuration, and management of Ceph clusters and systems - Experience working on Linux/Unix systems, with a focus on automation and operating at scale - Proficiency in Python or Bash - Experience with Ansible, Terraform, or SaltStack - Experience with Nagios-based monitoring tools, such as Icinga2 - Experience with observability tooling, such as Prometheus, Grafana, Mimir, and Loki - Solid understanding of core networking concepts and protocols, particularly in relation to Linux/Unix systems Requirements - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) - Exposure to and experience working with compute platforms (e.g., OpenStack, AWS) - Familiarity with ability to contribute to CI/CD pipelines and automation workflows Benefits - Competitive pay - Generous time off - Parental and wellness leave - Healthcare - Retirement savings program - Comprehensive benefits package, including: - Medical, dental, and vision insurance - 401(k)-retirement plan - Paid sick time - Paid flexible time off - Paid parental leave - Life insurance - Short- and long-term disability - AD&D insurance - Mental health or EAP programs - Remote or hybrid work options - Paid holidays - Paid Wellness days - Tuition assistance - Adoption, surrogacy, and fertility benefits - Dependent daycare and backup care benefits - Employee stock purchase plan - Financial education and advice Compensation - Bay Area (Santa Clara, San Francisco) and Los Angeles: $128,000 — $192,000 USD - Austin, D.C. Metro, CA (non-Bay Area), HI, IL, MA, NH, OR, VA, WA: $110,500 — $165,500 USD - New York City Metro, Kirkland/Seattle: $117,200 — $175,800 USD - All other US locations not previously listed: $98,500 — $147,500 USD

• Assist in designing, implementing, and maintaining scalable, fault-tolerant systems that leverage cluster orchestration and containerization technologies, with guidance from senior engineers. • Work alongside the Software Engineering and QA teams to support deployment processes for microservices-based architectures. • Help build and maintain CI/CD pipelines that support container-based application deployment and rollback. • Support system availability by running health checks and contributing to zero-downtime deployments. • Participate in a supported on-call rotation, escalating critical system issues appropriately as you build incident-response experience. • Collaborate with information security teams to follow industry best practices and compliance requirements. • Use AI-assisted tooling (e.g., LLM-powered coding assistants, chat-ops agents, scripted automations) to accelerate routine tasks such as log triage, runbook execution, ticket drafting, and code review.