Job Description Join us as a Senior SRE where you'll bridge the gap between cutting-edge AI innovation and rock-solid production stability. Working independently from the East Coast, you will collaborate with our global DevOps teams to automate 70% of your workload while owning the reliability of our AWS/Kubernetes environment. This is a role for a production-hardened engineer who wants a strong voice in technology decisions and the opportunity to build the future of AI-driven operations. This is a fully remote role, however, you must be physically located in EST and be willing and able to work EST hours Monday-Friday and participate in on-call rotations. We cannot consider candidates located in CST, MST or PST at this time. Base salary for this role ranges from $170,000 - $215,000 per year. Job Requirements - 5+ years of experience as a Senior SRE or Production Engineer (this is a hard requirement). - Deep Production Expertise: You must have extensive experience managing live, high-traffic SaaS environments; developer-only backgrounds without ops experience will not be a fit. - Cloud & Orchestration: Proven mastery of Kubernetes and AWS in production settings. - Coding/Scripting: Advanced proficiency in Python (preferred) or Go for automation; we need more than just Bash skills. - AI Knowledge: A strong understanding of or direct experience with AI/LLM technologies. - Observability: Hands-on experience with Datadog for monitoring and incident response. - Autonomy: Ability to work independently without direct daily oversight, managing production incidents and on-call responsibilities. - Time Zone: Located in the East Coast time zone to provide coverage overlap with our global teams. Job Responsibilities - Design, build, and operate production-grade Kubernetes infrastructure on AWS - Developing Ai Agents to handle incidents and root cause analisys - Build and maintain GitOps-based CI/CD pipelines using GitHub Actions and ArgoCD - Develop internal DevOps tooling and developer self-service platforms - Own monitoring, observability, and operational excellence using Datadog - Collaborate with engineering teams to improve delivery speed and reliability Benefits HiBob is a village filled with amazing people and we're especially proud of that. It's a place where Bobbers can be themselves. We're about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you'll receive competitive compensation, benefits, and pre-IPO equity alongside all of this: - Stock options at a high-growth unicorn startup - 100% subsidized medical, dental, and vision coverage for employees - 401(k) with a 3% company match starting from Day 1 - Hybrid working model for bobbers in the NY metro area - Work from home allowance to get your home office set up! - Temporary remote work-from-anywhere in the world for up to 2 months after 6 months of employment - Annual Headspace subscription and wellness benefits - Two social impact days per year for volunteering - Bob balance days - 4 additional days within a calendar year - Enjoy a company-wide long weekend at the beginning of each quarter - Employee referral program - $2,500 bonus for each successful referral with an additional ambassador bonus - Fun and frequent social events (in-person and virtual) - We love birthdays - take the day off and receive a special gift - Dog-friendly office If this sounds like something you've been looking for, we'd love to have you. Come on, join our village! Location Eligibility: While this is a remote position, HiBob is currently authorized to hire in the following states: CA. CO, CT, DC, FL, GA, IL, IN, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, TN, TX, UT, VA, WA. Will consider Canadian residents as well! Candidates must reside in one of these states to be considered for employment.

• Be a key member of the Engineering team, responsible for designing, building, and maintaining the infrastructure that supports our SaaS analytics platform. • Champion automation, reliability, security, and scalability as you optimize cloud-based environments and drive best practices across CI/CD pipelines, monitoring, and infrastructure-as-code. • Design, implement, and maintain scalable, reliable, and secure infrastructure on cloud platforms (primarily AWS). • Create new infrastructure or environments to meet evolving customer and product demands. • Monitor infrastructure performance and availability, ensuring high uptime and efficiency. • Apply infrastructure-as-code principles using tools such as Terraform, AWS CloudFormation, or the Serverless framework. • Build, maintain, and optimize CI/CD pipelines for application deployments using tools like Jenkins, Bitbucket Pipelines, or equivalent. • Automate and standardize release processes to support frequent, reliable, and fast software delivery. • Support production release and bug-fix deployments, including environment configurations. • Develop scripts and tooling (using Python, Bash, Node.js, etc.) to automate infrastructure management, deployments, and operational tasks. • Champion continuous improvement in automation to reduce manual effort and improve reliability. • Implement and manage robust monitoring and logging systems using AWS CloudWatch, Datadog, Dynatrace, or custom solutions. • Proactively identify, troubleshoot, and resolve infrastructure and application issues before they impact end users. • Participate in on-call rotations for critical production systems support. • Apply security best practices across all infrastructure layers to ensure secure operations. • Conduct routine security audits and vulnerability assessments to maintain compliance with applicable standards and frameworks. • Partner closely with development teams to support application architecture, deployments, and infrastructure decisions. • Collaborate with QA, Product, and Customer Support teams to resolve customer-impacting issues and improve system reliability.

• Ensure high system reliability and uptime through proactive monitoring, incident response, and root-cause investigations using leading observability and alerting tools (Grafana, Splunk, Datadog, Prometheus, Elastic, Tines, Jira, ServiceNow, PagerDuty, VictorOps, Slack) • Maintain, optimize, and scale cloud infrastructure across AWS and Azure, ensuring cost efficiency, security, and operational excellence • Develop automation solutions (Python, bash or similar) to reduce manual work, streamline operations, and improve overall platform stability • Support and enhance CI/CD and deployment workflows using GitHub, GitLab, Terraform/Terragrunt • Manage containerized workloads, including building, deploying, and troubleshooting services running in Docker and Kubernetes environments • Collaborate closely with engineering, DevOps, security, and operations teams to drive continuous improvement and ensure service SLIs/SLOs/SLA compliance • Participate in on-call rotation and provide timely response to incidents, documenting findings and contributing to long-term reliability improvements

Role Description We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The Concentrix Catalyst team is the driving force behind Concentrix’s transformation, data, and technology services. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. - Lead end-to-end architecture for large-scale Dev platforms - Engage C-level and senior IT leadership to align outcomes with business objectives - Drive architectural decisions, risk mitigation, and long-term optimization - Establish engineering governance and operational excellence using DevOps practices and automation Qualifications - Principal Customer Engineer (15+ years) serving as a technical authority and trusted advisor for enterprise and public sector customers - Strong DevOps engineering capability with Azure DevOps and GitHub - Experience using automation and engineering practices to standardize, secure, and operationalize mission-critical platforms Requirements - Azure DevOps: Repos, Pipelines (CI/CD), Boards, Artifacts; engineering governance and delivery standardization - GitHub: GitHub repos, PR workflows, branching strategies; automation with GitHub Actions (where applicable) - DevOps operating model: release management, environment promotion, policy & approval gates, quality controls, auditability - PowerShell: advanced automation for Windows + Azure operations, diagnostics, deployment, and configuration - C# / .NET: building automation utilities, integration components, and platform tooling - Infrastructure as Code (DevOps-enabled delivery) - Standardized deployments through IaC + DevOps practices (ARM/Bicep/Terraform as engagement requires) Company Description Join us and be part of this journey towards greater opportunities and brighter futures.