Site Operations Manager

🏢 Summary: Technical leadership role combining hands-on DevOps/SRE engineering with team management to build and operate large-scale GPU infrastructure for AI workloads. Focused on infrastructure automation, reliability, observability, and high-performance networking across complex production environments. Responsible for shaping IaC standards, CI/CD, and operational excellence for software-defined, GPU-based platforms. 🗂️ Requirements: 8+ years in DevOps, SRE, or Platform Engineering, 3+ years in technical leadership role, Experience with large-scale infrastructure automation, Proficiency in Infrastructure as Code tools, Experience with GitOps and CI/CD, Hands-on experience with Kubernetes, Experience with GPU technologies, Scripting or programming in Python, Go, or Bash, Experience with bare-metal provisioning, Knowledge of observability and monitoring tools, Understanding of distributed systems reliability, Experience with high-performance networking technologies, Ability to lead technical discussions and mentor engineers, English proficiency at communicative level 📃 Skills: Terraform, Ansible, Pulumi, Crossplane, GitOps, Kubernetes, NVIDIA, MIG, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, RDMA, InfiniBand, RoCE, CI/CD 🏢 Description: About the role We are looking for a Lead DevOps Engineer to provide technical leadership for DevOps and Site Reliability Engineering practices supporting large-scale GPU infrastructure used for AI training and inference workloads. This role combines hands-on engineering with team leadership. You will be responsible for shaping automation standards, improving platform reliability, and leading a team working on software-defined infrastructure, high-performance networking, observability, and operational excellence across complex production environments. Responsibilities Lead, mentor, and support a team of DevOps and SRE engineers working across the full lifecycle of GPU infrastructure platforms Design and implement Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Define and track SLIs/SLOs , improve incident response processes, and contribute to post-incident reviews and long-term reliability improvements Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Automate operational processes such as cluster scaling, firmware and BIOS updates, hardware diagnostics, and capacity planning Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify operational inefficiencies and reduce repetitive manual work through automation Evaluate and introduce new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 8+ years of experience in DevOps, SRE, Platform Engineering , or a similar area At least 3 years of experience in a technical lead, lead engineer, or team leadership role Strong practical experience with infrastructure automation in large-scale or complex production environments Very good knowledge of Terraform, Ansible, Pulumi, Crossplane , or similar Infrastructure as Code tools Experience with GitOps , configuration management, and CI/CD practices Hands-on experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, infrastructure automation, or data center environments Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Good understanding of distributed systems reliability and production incident management Experience with high-performance networking technologies such as RDMA, InfiniBand, or RoCE will be a strong advantage Ability to lead technical discussions, support team development, and communicate effectively with both technical and business stakeholders English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering or research teams Understanding of security, compliance, and audit requirements in regulated or security-sensitive environments What we offer Benefits package Opportunity to shape the DevOps and SRE foundation for advanced GPU infrastructure supporting AI workloads Real impact on the scalability, reliability, and operational standards of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A dynamic environment with space for ownership, technical leadership, and professional growth

🏢 Summary: Senior DevOps Engineer role focused on AI and platform operations, ensuring production stability, CI/CD pipeline management, and Infrastructure as Code implementation. The position involves supporting AI/ML workloads, enhancing observability, and driving automation and self-healing infrastructure solutions. The role combines operational leadership with hands-on DevOps and MLOps practices in complex production environments. 🗂️ Requirements: Hands-on experience with Docker and Kubernetes, Experience with CI/CD tools including Jenkins and Maven, Experience with Infrastructure as Code using Ansible, Experience with relational databases such as Oracle and DB2, Knowledge of Spring, Hibernate, XML, JSON, Kafka, Advanced troubleshooting using Splunk, Apica, Sysdig, Experience with Prometheus, Grafana, ELK stack, Experience with MLOps and AI/ML workload deployments, Knowledge of AI model serving and ML containerization, Understanding of AI agent orchestration and workflow automation 📃 Skills: Docker, Kubernetes, Jenkins, Maven, Ansible, Oracle, DB2, Spring, Hibernate, XML, JSON, Kafka, Splunk, Apica, Sysdig, Prometheus, Grafana, ELK, MLOps, AI, ML 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior DevOps Engineer (AI & Platform Operations) Responsibilities: Incident & Problem Management: Lead RCA processes and implement preventive measures Production Support: Monitor, analyze, and optimize service performance and stability CI/CD Management: Build, maintain, and enhance deployment pipelines for multiple APIs Environment Management: Maintain Pre-Production and Production environments Cross-team Collaboration: Work closely with Platform Operations teams and delivery factory Documentation: Build comprehensive runbooks and knowledge base for operational procedures Innovation Leadership: Evaluate and implement new DevOps tools, practices, and AI-powered solutions Implement Infrastructure as Code practices Drive automation and self-healing infrastructure solutions Support AI/ML workload deployments and operations Lead adoption of emerging technologies and best practices Requirements: Hands‑on experience with Docker containerization and Kubernetes orchestration Experience working with CI/CD tools, including Jenkins and Maven Experience with Infrastructure as Code using Ansible Experience working with relational databases such as Oracle and DB2 Basic knowledge of application technologies including Spring, Hibernate, XML, JSON, and Kafka Advanced troubleshooting experience using Splunk, Apica, and Sysdig Experience with modern observability tools, such as Prometheus, Grafana, and preferably the ELK stack Experience with AI/ML operations (MLOps) and AI agent deployments Knowledge of AI model serving platforms and ML workload containerization Understanding of AI agent orchestration and workflow automation Experience implementing innovative solutions using emerging technologies Ability to evaluate and integrate new DevOps tools and practices Very good command of English, both spoken and written Nice to have: Software development knowledge in Java / J2EE Experience working with cloud platforms, such as AWS, Azure, or GCP Experience with IBM DataStage Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

🏢 Summary: Hands-on DevOps Engineer role focused on building and operating automation, deployment, and reliability standards for large-scale GPU infrastructure supporting AI training and inference. The position involves Infrastructure as Code, CI/CD, observability, security, and low-level automation across bare-metal servers, networking, storage, and Kubernetes-based platforms. The role emphasizes reliability, scalability, and automation in complex, high-performance environments. 🗂️ Requirements: 4–7 years in DevOps, SRE, or Platform Engineering, Experience with infrastructure automation in production environments, Hands-on experience with Terraform or Ansible, Experience building and maintaining CI/CD pipelines, Knowledge of GitOps practices, Understanding of infrastructure security and vulnerability management, Experience with security tools (e.g., Snyk, CrowdStrike), Practical experience with Kubernetes, Experience with GPU technologies (e.g., NVIDIA GPU Operator, MIG), Scripting or programming skills in Python, Go, or Bash, Experience with bare-metal provisioning or low-level infrastructure automation, Knowledge of observability tools (Prometheus, Grafana, Loki, OpenTelemetry) 📃 Skills: Terraform, Ansible, Kubernetes, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, Snyk, CrowdStrike, NVIDIA, MIG, CI/CD, GitOps 🏢 Description: About the role We are looking for a DevOps Engineer to help build and operate automation, deployment, and reliability standards for large-scale GPU infrastructure used for AI training and inference workloads. In this role, you will work on software-defined infrastructure supporting GPU clusters, high-performance networking, storage platforms, and internal AI services. This is a hands-on position for someone who is comfortable working close to infrastructure, improving operational processes, and building reliable automation in a complex technical environment. Responsibilities Design, implement, and maintain Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Support reliability initiatives by defining and tracking SLIs/SLOs , automating incident response, and contributing to post-incident analysis Automate operational tasks such as cluster scaling, firmware and BIOS updates, hardware validation, diagnostics, and capacity planning Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify repetitive manual work and replace it with efficient automation Evaluate new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 4–7 years of experience in DevOps, SRE, Platform Engineering , or a similar role Strong practical experience with infrastructure automation in complex production environments Good hands-on knowledge of Terraform, Ansible , or similar Infrastructure as Code tools Experience building and maintaining CI/CD pipelines and working with GitOps practices Good understanding of infrastructure security, vulnerability management, and security best practices Experience with security tools such as Snyk, CrowdStrike , or similar solutions Practical experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, low-level infrastructure automation, or data center operations Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Ability to work independently, prioritize tasks, and communicate effectively with technical teams English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering teams Understanding of compliance and audit requirements in security-sensitive environments What we offer Benefits package Opportunity to work on advanced infrastructure supporting large-scale AI workloads Real impact on the reliability and scalability of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A fast-moving environment with space for ownership, technical input, and professional growth

🏢 Summary: Hands-on Site Reliability Engineer role focused on ensuring stability, scalability, and observability of a mission-critical distributed risk and analytics platform in hybrid cloud environments. The position centers on production reliability, incident response, automation, and continuous improvement of monitoring and deployment processes. You will collaborate with engineering teams to strengthen system resilience, performance, and operational standards. 🗂️ Requirements: Strong Java experience in distributed systems, Experience with observability and monitoring tools, Hands-on experience with hybrid cloud environments (preferably GCP), Experience with CI/CD pipelines and automation tools, Solid knowledge of Linux systems administration, Understanding of RDBMS fundamentals, Experience with job schedulers (e.g., Control-M), Ability to lead incident response and root-cause analysis 📃 Skills: Java, Grafana, Prometheus, Loki, OpenTelemetry, GCP, Jenkins, Ansible, Linux, SQL, Control-M, CI/CD 🏢 Description: We’re looking for a seasoned Site Reliability Engineer to support a high‑performance, mission‑critical risk and analytics platform used across global trading and finance environments. You’ll play a key role in ensuring the stability, scalability, and observability of complex distributed systems running across hybrid cloud infrastructure. In this role, you’ll take ownership of production reliability driving incident response, conducting root‑cause analysis, improving monitoring capabilities, and delivering automation that reduces operational toil. You’ll work closely with development teams, platform engineers, and service management leads to strengthen resilience, refine processes, and enhance the engineering culture around availability and performance. This is a hands on technical position suited to someone who thrives in high‑throughput environments, communicates clearly, and enjoys solving deep engineering problems in real time. Core Responsibilities Maintain and improve the reliability, uptime, and performance of distributed applications. Lead incident response, triage complex issues, coordinate recoveries, and deliver structured post‑incident reviews. Enhance observability—designing and evolving monitoring, alerting, logging, and tracing frameworks. Drive continuous improvement across automation, deployment processes, and service stability. Collaborate with cross‑functional teams to influence architecture, design, and operational standards. Support CI/CD pipelines, environment configuration, and vulnerability remediation. Contribute to a knowledge‑driven culture through documentation, tooling, and best‑practice adoption. Required Skills & Experience Strong Java background with proven experience supporting or developing distributed systems. Observability tooling expertise (Grafana, Prometheus, Loki, OpenTelemetry or similar). Hands‑on with hybrid cloud environments , ideally with GCP or another major cloud provider. CI/CD and automation experience (e.g., Jenkins, Ansible). Solid understanding of Linux , RDBMS fundamentals , and job schedulers (e.g., Control‑M or equivalents). Strong analytical mindset with a methodical approach to troubleshooting. Excellent communication skills and comfort working in Agile teams.

🏢 Summary: Lead Linux System Administrator role focused on owning and optimizing large-scale Linux-based GPU infrastructure for AI training and inference. Combines hands-on administration of NVIDIA GPU environments with team leadership and automation in a high-availability production setting. Responsible for performance, security, reliability, and lifecycle management of GPU servers. 🗂️ Requirements: 7+ years Linux system administration in production, 3+ years in technical lead or team leadership role, Expertise in Linux administration at scale, Hands-on experience with NVIDIA GPUs in Linux, Experience with CUDA ecosystem components, Experience with Ansible or other configuration management tools, Scripting skills in Python and/or Bash, Experience with Infrastructure as Code, Knowledge of high-performance computing environments, Experience with high-speed networking (InfiniBand or RoCE), Experience supporting AI/ML or HPC workloads, Ability to troubleshoot complex production issues, English proficiency (communicative level) 📃 Skills: Linux, NVIDIA, CUDA, cuDNN, NCCL, DCGM, nvidia-smi, MIG, Ansible, Terraform, Python, Bash, InfiniBand, RoCE, HPC, Slurm, Kubernetes, Run:ai 🏢 Description: About the role We are looking for a Lead Linux System Administrator to take technical ownership of the Linux environment supporting large-scale GPU infrastructure used for AI training and inference workloads. This role combines hands-on system administration with team leadership. You will be responsible for the stability, performance, security, and day-to-day management of Linux-based GPU servers, while also supporting and mentoring a team of administrators working in a complex production environment. Responsibilities Lead, mentor, and support a team of Linux System Administrators responsible for GPU infrastructure operations Manage the full Linux server lifecycle, including provisioning, patching, configuration management, hardening, and performance tuning Maintain and optimize the NVIDIA GPU software stack , including drivers, CUDA, cuDNN, NCCL, and GPU management tools such as DCGM and nvidia-smi Support and manage MIG and GPU time-slicing configurations where needed Develop and maintain automation for bare-metal provisioning, OS image management, and server configuration using tools such as Ansible, Terraform , and scripting Tune Linux systems for demanding workloads, including kernel parameters, local storage, parallel file systems, networking, and scheduler settings Troubleshoot complex issues across hardware, drivers, the operating system, and cluster-level services Work closely with DevOps/SRE, Site Operations, and AI/ML teams to ensure smooth integration between OS-level infrastructure and higher-level orchestration platforms Support security hardening, vulnerability management, patch compliance, and operational standards across the server fleet Participate in on-call support and contribute to continuous improvements in reliability, performance, and operational efficiency Requirements 7+ years of hands-on experience in Linux system administration in production environments At least 3 years of experience in a technical lead, lead administrator, or people leadership role Strong expertise in administering Linux systems at scale Hands-on experience with NVIDIA GPUs in Linux environments , including drivers, CUDA ecosystem components, and GPU management tools Strong experience with Ansible or other configuration management tools Good scripting skills in Python and/or Bash Experience with Infrastructure as Code and infrastructure automation Good understanding of high-performance computing , storage systems, and high-speed networking technologies such as InfiniBand or RoCE Experience supporting AI/ML or HPC workloads Ability to troubleshoot complex production issues and work effectively in a high-availability environment English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience with cluster management and orchestration tools such as Slurm, Kubernetes, or Run:ai Familiarity with bare-metal provisioning tools and large server fleet management Experience in AI infrastructure companies, hyperscalers, or HPC/research environments Knowledge of Linux performance tuning for GPU-accelerated workloads Higher education in Computer Science, Engineering, or a related field What we offer Benefits package Opportunity to lead Linux infrastructure supporting advanced AI workloads at scale Work with modern GPU hardware and software stacks in a technically demanding environment Collaboration with experienced engineers across infrastructure, platform, and AI teams A dynamic workplace with room for ownership, technical influence, and professional growth

🏢 Summary: The offer is for a SharePoint & Power Platform Operations Specialist responsible for ensuring stable, secure, and well-governed operations of SharePoint Online and Power Platform across a global organization. The role focuses on platform administration, governance enforcement, troubleshooting, lifecycle management, and operational optimization within Microsoft 365. You will act as a subject matter expert supporting reliability, compliance, and continuous improvement of collaboration environments. 🗂️ Requirements: Practical experience supporting SharePoint Online and Power Platform in enterprise environment, Strong knowledge of SharePoint permissions and information architecture, Experience managing Power Platform environments, connectors and DLP policies, Knowledge of Microsoft 365 administration and security configurations, Ability to troubleshoot Power Apps, Power Automate and SharePoint Online issues, Experience implementing governance, security and compliance controls, Ability to manage platform lifecycle processes and updates, Experience providing 2nd and 3rd level technical support, Ability to maintain technical documentation and operational procedures 📃 Skills: SharePoint, PowerPlatform, PowerApps, PowerAutomate, Microsoft365, PowerShell, Dataverse, ALM, ITIL, DLP, AzureAD 🏢 Description: If you want to: Take ownership of SharePoint Online and Power Platform operations across a global organization Work with modern Microsoft 365 technologies while shaping governance, stability, and security of key business platforms Contribute to continuous improvements, platform reliability, automation, and operational excellence Apply today! We are looking for a SharePoint & Power Platform Operations Specialist who will ensure stable, compliant, and well-governed daily operations of our SharePoint Online and Power Platform environments. In this role, you will work closely with IT and business stakeholders, acting as a subject matter expert and supporting both platform lifecycle and operational processes. You will help shape a secure, efficient, and scalable collaboration ecosystem used across Demant globally. Working with us, You will receive: Full-time work agreement in an international organization Learning and development opportunities adapted to your needs and supporting your growth Hybrid work model, combining remote work opportunities with work in an office in the Szczecin City Center Flexible working hours Benefits package including social benefits (private medical health care, insurance, sport card, etc.) Scandinavian culture – informal, focused on equality, independence, open dialog, and work-life balance What tasks are waiting for you? Maintain and support SharePoint Online site collections, permissions, lifecycle processes, and information architecture Operate and monitor Power Platform environments, including apps, flows, data connections, gateways, and DLP policies Troubleshoot and resolve incidents and operational issues related to SharePoint and Power Platform services Ensure consistent platform performance, capacity utilization, and compliance with operational standards Implement and enforce governance rules related to security, retention, data protection, and auditing Maintain configuration documentation, operational runbooks, and administrative procedures Support compliance reviews, risk assessments, and alignment with internal policies Manage platform updates, change requests, and feature rollouts Oversee lifecycle processes for sites, apps, flows, environments, and connectors Provide 2nd- and 3rd‑level support to business users and IT teams Guide citizen developers in safe, governed usage of SharePoint Online and Power Platform Identify opportunities for automation, monitoring improvements, and operational optimization Collaborate with cross-functional teams on platform evolution and business needs Apply today if you: have practical experience operating and supporting SharePoint Online and Power Platform in a professional or enterprise environment understand permissions, information architecture, environments, connectors, and DLP controls have knowledge of Microsoft 365 administration and related security configurations are able to troubleshoot issues in Power Apps, Power Automate, and SharePoint Online can maintain documentation, operational procedures, and governance standards can work effectively with stakeholders across IT and business It would be nice if you: have experience with PowerShell for Microsoft 365 automation know Dataverse, managed solutions, and ALM practices are familiar with identity, data protection, and network security concepts have a background in ITIL processes (incident, problem, change management) We are waiting to hear from you! Furthermore we would like to inform you that the company has an internal reporting procedure, which is available at: https://demant.codeofconduct.app/ If the page does not load correctly, please refresh it using the Ctrl+F5 key combination. In accordance with applicable regulations on pay transparency, information regarding compensation may be provided at different stages of the recruitment process. In our organization, details related to remuneration are shared at the stage preceding the commencement of employment. The final level of compensation is determined individually and depends on the candidate’s experience, competencies, and the scope of responsibility associated with the position.

🏢 Summary: Senior Program Manager role focused on scaling and optimizing deployment operations for autonomous vehicle programs, ensuring seamless coordination from contract signing to live operations. The position drives process design, workflow automation, KPI tracking, and cross-functional alignment across sales, customer success, support, engineering, and product teams. It emphasizes building scalable systems and feedback loops to support growing fleet deployments in a technical, robotics-driven environment. 🗂️ Requirements: 6+ years of program or project management experience in complex technical environments, Bachelor’s degree in Computer Science, Engineering, Business, or related field, Experience scaling complex operational or deployment programs, Experience designing and automating workflows across sales, customer success, or support, Experience working with customer-facing teams in technical product environments, Familiarity with CRM and support platforms, Familiarity with project tracking tools, Strong analytical skills for operational data analysis, Ability to collaborate cross-functionally with engineering and product teams 📃 Skills: HubSpot, Salesforce, Zendesk, Jira, Confluence, CRM, KPI, Automation 🏢 Description: About this role: We are seeking a Senior Program Manager to own the operational programs that power autonomous vehicle deployments at scale. This person will build and maintain the systems, workflows, and cross-functional coordination that enable sales, customer success, support, and engineering teams to deliver a consistent, high-quality deployment experience as fleet and customer base grow. A key part of the role is maintaining a close feedback loop with the Product team, ensuring that field observations and customer needs consistently shape what we build next. Responsibilities Own the end-to-end deployment operations program, designing and scaling the processes that take a customer from signed contract to live autonomous operation. Identify manual, brittle, or one-off processes across sales, customer success, and customer support that create bottlenecks at scale, and build automated replacements. Partner with sales and customer success to ensure pre-sale commitments translate into executable deployment plans with clear timelines, dependencies, and handoffs. Develop and maintain the operational playbooks, tooling, and workflows that field and support teams rely on across all active deployments. Establish SLA frameworks and escalation paths for customer support that remain effective as deployment volume grows. Build a structured feedback channel between customer-facing teams and Product, synthesizing field observations into clear input on feature gaps, operational friction, and emerging customer needs. Define and track deployment KPIs, including time-to-live, issue resolution rates, and deployment repeatability, and use them to drive continuous improvement. Collaborate with engineering and product to ensure internal tooling investments reflect real deployment requirements and scale constraints. Qualifications 6+ years of experience in program or project management, deployment operations, or a related role with direct ownership of scaling complex programs. Bachelor's degree in a relevant field such as Computer Science, Engineering, Business, or a related discipline. Demonstrated experience designing and automating workflows across sales, customer success, or support functions, ideally in a hardware or field deployment context. Strong analytical instincts with the ability to spot systemic problems in operational data and build durable solutions. Experience working closely with customer-facing teams in a technical product environment involving complex, multi-stakeholder deployments. Familiarity with CRM and support platforms (e.g., HubSpot, Salesforce, Zendesk) and project tracking tools such as Jira and Confluence. Excellent communication skills; able to operate across sales, engineering, product, and executive stakeholders without losing clarity. Comfortable operating without a playbook, knowing when to establish process and when to move without it. Experience in autonomous systems, robotics, or industrial automation strongly preferred. Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (company funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Remote or hybrid work opportunities Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages Monthly meal and tech allowances for remote employees

🏢 Summary: Platform Operations Analyst role focused on maintaining the stability, availability, and performance of a global commerce and transaction processing platform. The position involves monitoring production systems, troubleshooting incidents, supporting real-time payment processing applications, and collaborating with infrastructure and development teams in a 24/7 operational environment. Candidates should have experience with monitoring tools, transaction processing systems, and web-based platform operations. 🗂️ Requirements: Bachelor's degree in Computer Science, Information Technology, Finance, or related field, 4+ years experience in platform operations, financial services technology, or transaction processing, Experience with web-based platform environments, Understanding of transaction processing and payment gateways, Experience supporting real-time transaction processing applications, Proficiency with application performance monitoring and log analysis tools, Experience troubleshooting infrastructure, database, and application layer dependencies, Knowledge of Microsoft SQL Server, Ability to analyze root causes and resolve complex technical issues, Experience with incident and problem management processes, Strong written and verbal communication skills, Availability for evening shifts, weekend rotation, and on-call support, Ability to pass background and credit checks 📃 Skills: Dynatrace, Splunk, SQL, SQLServer, APIs, Azure, RunDeck, DNS, HTTP, LoadBalancing, WebServers, Monitoring, Logging, Networking, AI 🏢 Description: The Platform Operations Team serves to ensure that production platforms and processes are healthy and performing to expected key indicators. As a Platform Operations Analyst you will be a member of a team that works together to ensure platform stability and availability. This position must be performed from a home office in Arizona or Nevada, with availability to work Monday–Friday from 5:00 PM to 1:00 AM ET and participate in rotating weekend coverage. Primary Job Responsibilities: - Work a standard Monday–Friday shift from 5:00 PM to 1:00 AM ET, while also participating in a rotating schedule that provides weekend coverage. - Participate in a shared on call rotation to support 24/7 platform availability, including periodic off hours and weekend coverage. - Maintain live services through measuring and monitoring availability, latency, and overall system health. - Collaborate with team members to quickly determine root cause of service degradation and identify indicators of potential issues. - Effectively communicate with third parties, partners, and internal teams regarding technical issues. - Suggest, edit, and write knowledge base articles. - Collaborate with infrastructure and development teams to improve system reliability. - Identify anomalies and escalate issues identified in application and system log files. - Obtain a deep understanding of the platform and custom application stack to help resolve issues. - Create new alerts to support production systems. - Troubleshoot and remediate failed scheduled jobs. - Document and refine internal policies and procedures. - Actively adopt and incorporate AI tools and emerging technologies into daily work practices. Required Skills and Experience: - Bachelor’s degree in Computer Science, Information Technology, Finance, or related field. - Preferably 4+ years of experience in financial services technology, transaction processing, or related environments. - Experience with web-based platform environments and dependencies between network, database, and application layers. - Strong understanding of transaction processing concepts, payment gateways, and related technologies. - Experience supporting real-time transaction processing applications. - Proficiency with Application Performance Monitoring platforms and log ingestion tools such as Dynatrace, Splunk, and SQL Sentry. - Experience with Microsoft SQL Server product stack. - Knowledge of API integration, data analysis, and reporting tools. - Ability to analyze complex issues and propose effective solutions. - Familiarity with risk management principles, fraud detection, and prevention. - Strong written and verbal communication skills. Nice to Haves: - Knowledge of networking protocols, DNS, HTTP, load balancing, and web servers. - Experience with Azure Cloud. - Experience with RunDeck Scheduling System. - Prior experience utilizing AI-powered tools and technologies. Benefits: - Medical, prescription, dental, and vision coverage. - Life insurance. - Retirement plans with company match. - Commission sharing plan. - Flexible hybrid working environment. - Parental leave and additional leave programs. - Professional growth and development opportunities. All positions require successful completion of a background check and credit check. Equal Opportunity Employer.

🏢 Summary: The role focuses on ensuring stable and reliable AI and platform operations in production environments, with ownership of incident management, monitoring, and deployment oversight. The engineer works closely with development teams to diagnose issues, improve observability, and enhance service continuity through automation and operational excellence. This position emphasizes production support, RCA, and continuous improvement rather than building infrastructure from scratch. 🗂️ Requirements: 5+ years in IT operations or production support roles, Experience owning incidents end-to-end including RCA, Minimum 2 years working within ITIL framework, Experience in Agile delivery environments, Proficiency with log analysis and alerting tools, Experience with observability and monitoring tools, Hands-on experience supporting services on Kubernetes, Experience with CI/CD pipelines and deployment troubleshooting, Experience with relational databases and query analysis, Ability to trace issues across Java-based application stacks 📃 Skills: ITIL, Splunk, Apica, Sysdig, Prometheus, Grafana, Kubernetes, Jenkins, Oracle, DB2, Spring, Hibernate, Kafka, XML, JSON, Java, J2EE, Datastage, Bash, Python, Ansible 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior DevOps Engineer (AI & Platform Operations) Responsibilities: Incident & Problem Management: Own the RCA process for production incidents — diagnose, resolve, and put preventive measures in place so issues don't recur Production Monitoring & Support: Continuously monitor service health, detect anomalies early, and act before they become incidents Deployment Execution: Trigger and oversee release deployments through existing CI/CD pipelines; troubleshoot failed deployments and coordinate rollbacks when needed Environment Oversight: Keep Pre-Production and Production environments stable and aligned — not building them from scratch, but ensuring they behave as expected day to day Runbook & Knowledge Management: Document operational procedures, known issues, and resolution steps to build a reliable knowledge base for the team Cross-team Collaboration: Work shoulder-to-shoulder with development and platform teams to triage issues, clarify operational requirements, and close the feedback loop between prod and dev Identify recurring pain points and propose automation or tooling to reduce toil Improve observability coverage — dashboards, alerts, log queries — to catch issues faster Contribute to service continuity initiatives and disaster recovery drills Requirements: 5+ years in IT operations, application support (2nd/3rd line), or a similar production-facing role Proven track record of owning incidents end-to-end — from alert to RCA to prevention 2+ years working within an ITIL framework (incident, problem, change management) Experience working in Agile delivery environments alongside development teams Excellent English communication skills — able to explain technical issues clearly to both engineers and non-technical stakeholders Proficiency with log analysis and alerting tools: Splunk, Apica, Sysdig Observability tooling: Prometheus, Grafana — reading dashboards, tuning alerts Comfortable operating services running on Kubernetes (checking pod health, reading logs, triggering restarts — not cluster administration) Familiarity with Jenkins pipelines to execute and troubleshoot deployments Relational databases (Oracle, DB2) — querying, interpreting execution plans, identifying data-related incidents Working knowledge of Spring/Hibernate application behavior, Kafka message flows, XML/JSON payloads — enough to trace an issue through the stack Nice to have: Java/J2EE development background (helps enormously when reading stack traces and working with dev teams) IBM Datastage operational experience Scripting (Bash, Python) for automation of repetitive operational tasks Ansible for applying configuration changes in controlled operational scenarios Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

🏢 Summary: Senior Principal Site Reliability Engineer role focused on defining and leading infrastructure and reliability strategy for an AI‑driven SaaS platform in the finance domain. The position centers on scaling, securing, and optimizing cloud‑based systems while driving automation, observability, and operational excellence. The role combines hands‑on technical leadership with strategic decision‑making in high‑growth environments. 🗂️ Requirements: 8+ years in Site Reliability Engineering or DevOps, 2+ years in Principal or Lead SRE role, Experience in infrastructure modernization and scaling in high-growth environments, Strong proficiency in Python, Deep expertise in AWS ECS and EKS, Experience designing and optimizing CI/CD pipelines, Hands-on experience with Terraform, Strong knowledge of monitoring and observability practices, Upper-Intermediate English level 📃 Skills: Python, AWS, ECS, EKS, Terraform, GitHubActions, Buildkite, CI/CD, Monitoring, Observability, Docker, Kubernetes 🏢 Description: Are you ready to lead infrastructure strategy for a cutting‑edge AI‑driven SaaS platform? We are looking for a Principal Site Reliability Engineer with a proven track record in scaling, optimizing, and securing cloud‑based systems. This senior role offers the opportunity to shape the reliability and performance of a platform used by finance teams worldwide. In this role, you will be part of a dynamic engineering environment where your expertise will directly influence product stability and growth. You will work with advanced cloud technologies, automation tools, and AI-driven solutions, contributing to projects that push the boundaries of innovation. If you are ready to take on strategic responsibility and make a tangible impact, apply now and join us in building the future of reliable, scalable systems. Customer Sigma Software is partnering with a fast‑growing AI‑driven SaaS platform serving finance and accounting teams in high‑growth businesses. The platform automates critical workflows — from billing and collections to revenue recognition and reporting, ensuring compliance and accelerating cash flow. Leveraging advanced AI, it reduces manual work, increases operational efficiency, and supports scalability for customers worldwide. Project The project focuses on building and scaling an AI-powered SaaS solution for finance automation. It integrates advanced machine learning models with robust cloud infrastructure to deliver secure, compliant, and high‑performance services. The engineering culture emphasizes automation, resilience, and operational excellence. Requirements At least 8 years of experience in Site Reliability Engineering or DevOps roles, including 2+ years in a Principal or Lead position Proven experience in infrastructure modernization and scaling initiatives for high‑growth environments Strong proficiency in Python Deep expertise in cloud platforms and container orchestration tools such as AWS ECS and EKS Solid experience in CI/CD pipeline design and optimization using tools like GitHub Actions and Buildkite Proficiency in infrastructure‑as‑code tools such as Terraform Strong knowledge of monitoring, observability, and performance optimization practices Upper-Intermediate level of spoken and written English Would be a plus Experience with monorepos (Turborepo, pnpm) Familiarity with modern TypeScript tools (swc, biome, oxc) Knowledge of NestJS, NextJS, and testing frameworks (Jest, Vitest) Personal Profile Excellent leadership, communication, and decision‑making abilities Ability to work independently and make pragmatic build‑vs‑buy decisions in fast‑paced environments Responsibilities Define and lead infrastructure and reliability strategy across the platform Design scalable, resilient systems in collaboration with engineering teams Optimize build, testing, and deployment processes for speed and stability Establish and uphold best practices for CI/CD, monitoring, and observability Lead incident response and drive continuous improvement post‑incident Automate workflows to reduce operational toil and risk Mentor engineers and foster a culture of operational excellence Make strategic build‑vs‑buy decisions balancing speed, quality, and sustainability