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Precisely

Builds software to integrate and manage enterprise data

Senior Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeBielsko-Biala, PolandNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • At least 5 years of systems or infrastructure engineering experience in an enterprise production environment.
  • Developing subject-matter-expert competency in one or more complex infrastructure domains, such as cloud platform engineering, infrastructure-as-code automation, observability, or on-premises virtualization.
  • Advanced proficiency with Linux (RHEL/Oracle Linux) across on-premises and cloud environments.
  • Proficiency with Terraform for infrastructure-as-code and experience developing Ansible roles beyond basic hands-on use.
  • Experience deploying and managing AWS workloads at an intermediate level, including EC2, ECS, S3, VPC, IAM, CloudWatch, and Auto Scaling.
  • Proficiency with at least one scripting language, Python or Bash, for automation development.
  • Experience designing monitoring system architecture and alerting strategy; Datadog is preferred.
  • Understanding of TCP/IP networking, DNS, load balancing, and distributed systems.
  • Experience designing and managing CI/CD pipelines and deployment automation standards.
  • Experience authoring root cause analyses for complex incidents and identifying systemic preventive fixes from recurring incident patterns.
  • Ability to define SLOs and lead Operational Readiness Reviews, and comfort partnering with engineering teams on production readiness.
  • Ability to work cross-functionally with engineering teams on reliability standards and observability requirements.
  • Experience participating in change advisory processes and contributing to capacity and reliability planning.
  • Active, proficient use of Precisely-provided AI tools such as GitHub Copilot, Claude, or equivalent for complex automation, solution testing, and architecture documentation, including mentoring others on AI-assisted engineering practices.
  • Ability to apply AI tools for complex automation, incident analysis, and runbook authoring, mentor other engineers on AI-assisted engineering practices, and maintain fluency with Precisely-approved AI coding assistants.
  • The offer is dependent on positive verification of the candidate in accordance with adopted internal procedures.

Responsibilities

  • Define and maintain reliability standards across CCX, RCX, and HMS, including SLOs, SLIs, and error budgets.
  • Define standards for actionable alerting, meaningful logging, and diagnostic tracing, and partner with engineering teams to ensure those standards are met.
  • Serve as a platform expert and lead complex reliability engineering work across on-premises, private cloud, and AWS environments.
  • Build and maintain infrastructure-as-code, deployment automation, monitoring, alerting, and observability tooling using Terraform, Ansible, Datadog, and scripting languages.
  • Partner with engineering teams to embed reliability, operability, scalability, backup, recovery, and failure-mode considerations into service design and delivery.
  • Lead Operational Readiness Reviews and validate production and disaster recovery readiness for qualifying changes.
  • Contribute to release triage, deployment coordination, maintenance windows, and change and security reviews.
  • Lead responses to complex P1/P2 incidents, serve as incident commander when required, and communicate status to technical and non-technical stakeholders.
  • Author root cause analyses and post-incident reports, identify recurring patterns, and implement preventive automation to reduce manual toil and improve MTTR.
  • Maintain operational runbooks, reliability backlogs, and team knowledge resources covering monitoring gaps, recurring incidents, and operational risks.
  • Use Precisely-provided AI tools for automation, incident analysis, troubleshooting, runbook creation, solution testing, and architecture documentation.
  • Ensure infrastructure configurations meet security, compliance, vulnerability-remediation, and data-protection requirements.
  • Mentor Associate SREs and SREs, coach engineering teams on production diagnostics and operational practices, and contribute to cross-team design reviews.
  • Lead project-based work, coordinate on-call coverage, and model operational discipline and follow-through.
  • Participate in a rotating on-call schedule covering after-hours, weekends, and holidays, including critical production changes and escalations within defined SLA windows.

Desired Qualifications

  • Experience with containerization and orchestration, including Docker, ECS, or Kubernetes.
  • Familiarity with GitOps workflows and source control best practices, including Git and GitLab.
  • Knowledge of enterprise virtualization platforms in a hybrid cloud context.
  • Understanding of change management and ITIL operational practices.
  • Experience with enterprise security tooling, including Qualys, CrowdStrike, or Rapid7.
  • AWS Solutions Architect, SysOps Administrator, or DevOps Engineer certification.
  • Wireshark and protocol analysis experience.
  • Prior experience mentoring engineers or leading on-call rotations for a team.

About the Company

Precisely

Builds software to integrate and manage enterprise data

Precisely develops software that helps organizations connect, check, govern, and enrich enterprise data. Its Data Integrity Suite combines integration pipelines, data quality controls, cataloging, and location services so teams can prepare records for reporting, analytics, and AI applications. Customers use its cloud services and installed software across existing business systems, with additional products for communications and data automation. It earns revenue from software and data licenses, subscriptions, support, and professional services. Founded in 1968 as Whitlow Computer Systems and later known as Syncsort, Precisely is headquartered in Burlington, Massachusetts.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$8.5M
Headquarters
Burlington, MA
Founded
1968

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