Jobs

Strong match with 2.5 years of directly relevant DevOps/SRE experience covering Kubernetes, Terraform, Ansible, GitOps, CI/CD, Linux, Python, and observability stack; primary gaps are OpenStack exposure and Go proficiency, but these are learnable given demonstrated cloud platform expertise and stron

Strong Kubernetes and automation foundation with proven DevOps experience, though internetworking depth and mid-senior level reliability patterns could be further demonstrated through additional infrastructure scale projects.

Strong Kubernetes, cloud infrastructure, and CI/CD expertise with proven DevOps experience; lacks Spinnaker and Agile specifics but demonstrates solid foundational skills and rapid learning capability for mid-senior role.

Strong DevOps foundation with 2.5 years of hands-on experience in AWS, IaC, CI/CD, and monitoring; excellent transferable skills for SRE role, though limited production incident response and on-call experience are typical for early-career candidates.

Strong DevOps/Kubernetes/Docker foundation and Python skills align well with infrastructure needs, but lacks depth in full-stack web architecture (React/Node.js), enterprise hybrid deployments, and senior-level application design experience required for this architect role.

Strong DevOps fundamentals with proven Terraform, CI/CD, Kubernetes, and monitoring expertise; AWS experience directly transfers to cloud infrastructure management, but lacks GCP hands-on experience and has only 2.5 years vs. several years requested, though demonstrates rapid skill acquisition and p

Strong DevOps fundamentals with proven Terraform, CI/CD, Kubernetes, and monitoring expertise, but lacks direct GCP experience (AWS-focused) and has only 2.5 years vs. several years requested; however, cloud platform skills are highly transferable and candidate demonstrates rapid learning capability

Strong DevOps fundamentals with AWS, Kubernetes, Linux, and infrastructure automation; lacks Datadog experience and internetworking depth, but demonstrates solid reliability engineering and platform thinking through monitoring, CI/CD, and IaC work.

Strong DevOps fundamentals with solid Kubernetes, automation, and infrastructure expertise, but lacks the seniority level, mentorship track record, and data integration/quality specialization expected for a Senior Lead role.

Strong Kubernetes, Linux, and infrastructure automation foundation with proven DevOps experience, but lacks specific PostgreSQL expertise and senior-level tenure (2.5 years vs. senior role expectation); however, demonstrated ability to learn complex systems and hands-on infrastructure reliability wo

Strong DevOps fundamentals with Kubernetes, Jenkins, Prometheus, and Grafana; lacks Cloudflare, Kafka, and Node.js/Kotlin experience but demonstrates solid infrastructure automation, CI/CD, and monitoring expertise applicable to mid-senior role.

Strong DevOps fundamentals with proven AWS, IaC, CI/CD, and containerization expertise; lacks direct networking/security appliance experience and mid-senior depth, but demonstrates solid SRE practices, automation skills, and Linux proficiency with clear growth trajectory.

Strong core match with AWS, Terraform, CI/CD, and observability skills; lacks Go proficiency and on-call production experience at scale, but has solid foundational DevOps/SRE competencies and relevant tooling knowledge.

Strong foundational match with AWS, Kubernetes, Terraform, CI/CD, and observability tools; 2.5 years is entry-level for SRE but demonstrates core competencies; lacks Go/Ruby experience and production incident response depth, but has solid technical fundamentals and growth potential for Intermediate-

Strong foundational DevOps/SRE skills with AWS, Terraform, Ansible, and observability tools (Prometheus/Grafana), but lacks demonstrated cloud cost management, FinOps, and multi-cloud (GCP) experience that are central to this role.

Strong foundational DevOps skills with AWS, Terraform, CI/CD, and containerization experience, but SDE-3 seniority level requires deeper architectural leadership and broader platform engineering expertise that 2.5 years of experience may not fully demonstrate.

Strong core DevOps/SRE fundamentals with AWS, Terraform, CI/CD, monitoring (Prometheus/Grafana), Linux, and Python; lacks Kafka, Golang, GCP, and SaltStack experience but demonstrates solid infrastructure automation and observability skills transferable to the role.

Strong core DevOps fundamentals (Kubernetes, Terraform, CI/CD, monitoring) and proven multi-cloud experience with AWS, but lacks Azure AKS production experience, OpenTofu/Terragrunt depth, Ansible expertise, and the legacy infrastructure consolidation background the role emphasizes.

Strong Linux, Python, Bash, and automation fundamentals with proven CI/CD and infrastructure expertise; lacks direct distributed systems and backend development experience but demonstrates solid troubleshooting and system optimization capabilities applicable to hardware automation platform work.

Strong DevOps fundamentals with proven Kubernetes, automation, and Linux expertise; lacks direct Elasticsearch and Unix experience but demonstrates excellent problem-solving through infrastructure projects and DevSecOps implementation.

Strong foundational DevOps skills with hands-on AWS, Kubernetes, IaC, and CI/CD experience, but lacks the depth of reliability engineering, large-scale operational excellence, and senior-level architectural leadership typically expected for a senior role at this stage of career (2.5 years).

Strong DevOps fundamentals with proven AWS, Terraform, CI/CD, and DevSecOps expertise; lacks Kafka and Airflow experience but demonstrates solid automation, scripting, and infrastructure skills transferable to senior role; 2.5 years experience is slightly junior for 'senior' level but quality of wor

Strong infrastructure automation, Linux, Grafana, and troubleshooting foundation with proven scalability experience, but lacks Chef expertise and hardware-specific infrastructure background that the role emphasizes.

Strong infrastructure automation, Linux, Grafana, and troubleshooting foundation with proven scalability experience, but lacks Chef expertise and hardware-specific infrastructure background that the role emphasizes.

Strong DevOps fundamentals with Kubernetes, Prometheus, Grafana, and observability experience; lacks Apache Kafka and deep telemetry/data collection expertise, but demonstrates solid reliability and scalability work across multiple production projects.

Strong DevOps/SRE fundamentals with proven CI/CD, cloud infrastructure, monitoring, and Python skills; lacks MongoDB and distributed systems depth but demonstrates excellent observability, incident response optimization, and hands-on cloud platform experience directly applicable to SRE role.

Strong DevOps fundamentals with proven Terraform, CI/CD, Kubernetes, and cloud infrastructure expertise; AWS background transfers well to GCP, but lacks direct GKE and Google Cloud Platform hands-on experience which are core requirements.

Strong AWS and DevOps foundation with proven infrastructure automation and CI/CD expertise, but lacks direct application consulting experience and AI/ML background that the role emphasizes, though technical depth and customer-facing project work demonstrate transferable consulting potential.

Strong DevOps fundamentals with Kubernetes, Jenkins, Grafana, Prometheus, and container security expertise; lacks Cloudflare, Kafka, and Node.js/Kotlin experience but demonstrates solid incident response capability through monitoring and observability work.

Strong DevOps fundamentals with AWS, Kubernetes, CI/CD, and infrastructure automation; lacks explicit SRE experience (incident management, on-call, reliability metrics) and seniority level (2.5 years vs senior role), but demonstrates solid technical foundation and rapid skill acquisition.

Candidate has solid cloud/DevOps fundamentals and infrastructure automation skills, but lacks the hardware-focused SRE experience, on-call production support background, and deeper Kubernetes expertise typically required for a hardware-oriented SRE role at a mature tech company.

Strong foundational DevOps skills with AWS, Terraform, and CI/CD are highly transferable, but lacks the required Microsoft Azure experience, PowerShell, Azure DevOps expertise, and German language proficiency that are central to this role.

Candidate has relevant DevOps and cloud infrastructure experience with Kubernetes exposure, but lacks the senior-level software engineering depth, programming fundamentals (OOP, data structures, algorithms, multithreading), and production SRE experience typically required for a senior SRE role at an

While the candidate has strong DevOps/infrastructure skills, this role requires software engineering depth with SQL expertise, data pipeline debugging, financial systems knowledge, and 3+ years experience, which don't align well with their 2.5 years of platform-focused background.

Candidate has solid AWS/IaC/CI-CD fundamentals and some relevant DevOps experience, but lacks the deep backend engineering, distributed systems design, production Kubernetes operation, and observability-building experience (SLIs/SLOs/tracing) that this platform engineering role requires.

Strong foundational DevOps skills in cloud infrastructure, IaC, CI/CD, and monitoring, but lacks Azure experience (only AWS), Windows Server knowledge, and German C1 proficiency required for this role.

Candidate has relevant DevOps and AWS skills but lacks the senior-level experience (2.5 years vs senior requirement) and team leadership background needed for this lead role.

Candidate has strong foundational DevOps skills (Kubernetes, containers, CI/CD, cloud infrastructure) that are transferable to ML platform work, but lacks direct ML infrastructure experience, MLOps tools like MLFlow, and exposure to the aerospace/robotics domain that appears central to this role.

Candidate has solid foundational DevOps skills (AWS, Terraform, Docker, CI/CD) but lacks the senior-level experience (2.5 years vs senior requirement) and specific expertise in search technologies, data ingestion tools (Kafka, Hadoop, HBase, Spark), and Perforce that this role emphasizes.

Strong technical foundation in core DevOps skills (Terraform, Docker, Kubernetes, CI/CD, AWS, Python, monitoring) but significantly under the 6+ years experience requirement at 2.5 years, making this a mid-level candidate for a senior-level position.

Strong foundational DevOps/infrastructure skills (AWS, Terraform, Kubernetes, CI/CD) but lacks critical requirements: no demonstrated AI/LLM experience, no SQL proficiency, no financial systems or open banking domain knowledge, and insufficient seniority (2.5 years) for a complex technical operation

Strong cloud infrastructure and DevOps foundation with AWS, Terraform, and security automation, but lacks the 4+ years required experience (2.5 years), security analytics depth, threat hunting expertise, and multi-cloud platform maturity needed for this senior solutions engineer role.

Strong foundational DevOps skills in AWS, Kubernetes, Terraform, and infrastructure automation, but lacks the seniority, distributed systems depth, GCP experience, and proven leadership track record required for a Head of SRE role at an enterprise blockchain company.

Strong DevOps and cloud infrastructure foundation, but lacks the critical ML/AI infrastructure experience, Python ML frameworks (PyTorch/JAX), GPU optimization, and model serving systems that are central to this ML Platform Engineer role.

Strong CI/CD, automation, and infrastructure foundation, but lacks critical automotive/embedded systems, HiL testing, safety standards (ISO 26262, SOTIF), and autonomous vehicle domain experience that are essential for this specialized role.

Candidate has strong DevOps/cloud infrastructure skills but lacks the hardware security focus, systems integration depth, and senior-level platform engineering experience required for a Principal Hardware Security role at this level.

Candidate has solid DevOps fundamentals and cloud infrastructure experience, but lacks the senior-level depth, systems architecture expertise, Node.js proficiency, and 5+ years experience typically required for a Staff-level Core Platform Engineering role.

Candidate has relevant DevOps and cloud fundamentals but lacks the senior-level experience (2.5 years vs. principal/senior requirement), deep network architecture expertise, cybersecurity compliance background, and cross-domain solutions knowledge needed for this specialized role.

Strong foundational DevOps/cloud skills and observability experience, but lacks the critical production SRE background, distributed messaging systems expertise (NATS/Kafka), and the depth of incident management and reliability engineering required for a Senior Platform Engineer role focused on messa

Candidate has relevant DevOps fundamentals (CI/CD, cloud, containerization, Linux) but lacks the 2.5 years of experience depth, networking/SD-WAN expertise, and senior-level infrastructure scale required for a Sr. Staff role.

Candidate has relevant DevOps and cloud infrastructure skills but lacks the seniority, depth of experience, and principal-level technical leadership required for this senior role with only 2.5 years of experience.

Strong cloud infrastructure and automation fundamentals (AWS, Terraform, Kubernetes, CI/CD) but significantly lacks required 4+ years experience, customer-facing pre/post-sales background, security/IAM expertise, and Databricks/big data platform knowledge for this senior specialist role.

Strong DevOps/infrastructure foundation with AWS, Kubernetes, CI/CD, and Python, but lacks the required Ruby on Rails backend development experience, GraphQL/REST API design expertise, PostgreSQL proficiency, and demonstrated AI feature shipping that are core to this Backend Engineer role.

Strong DevOps/Infrastructure foundation with Python, SQL, Git, and CI/CD expertise, but lacks Databricks, data lakehouse, and data engineering experience required for this data platform role; candidate is also overqualified professionally (2.5 YOE vs. student requirement) and may not meet on-site av

Strong infrastructure and Kubernetes foundation with DevOps expertise, but lacks data engineering specialization in Kafka, Spark, Flink, Airflow, and streaming technologies that are core to this data platform role.

Strong CI/CD, infrastructure automation, and Linux foundation, but lacks hardware testing, firmware, JTAG, FPGA, board bring-up, and lab automation expertise required for this specialized hardware-focused test infrastructure role.

Strong DevOps, CI/CD, and infrastructure automation foundation, but lacks essential Salesforce development expertise (Apex, Lightning, SFDX), required certifications, and financial services experience that are core to this architect role.

Candidate has strong DevOps/infrastructure fundamentals and Python scripting, but lacks the 4+ years required experience, GPU/CUDA expertise, C/C++ knowledge, and high-performance computing background essential for an AI Infrastructure Engineer role at Intel.

Candidate has solid DevOps/infrastructure fundamentals (AWS, Terraform, CI/CD, monitoring) but lacks the Staff-level architectural leadership, distributed systems depth, Node.js/TypeScript backend expertise, and large-scale system design experience required for this senior platform architecture role

Candidate has strong DevOps/infrastructure automation skills but this QA automation role requires Java/Kotlin programming expertise, test framework experience (JUnit/TestNG), and IDE/developer tools testing background which are not demonstrated in the profile.

Candidate has relevant DevOps and cloud infrastructure skills but lacks the senior-level depth, ML infrastructure experience, and production SRE maturity expected for a Staff+ role at a leading AI company.

Candidate has relevant DevOps/infrastructure skills but only 2.5 years experience with limited production scale exposure, which is insufficient for a Principal-level role that typically requires 8-12+ years and deep architectural leadership experience.

Candidate has strong DevOps/infrastructure fundamentals but lacks the senior-level software engineering, AI/LLM production experience, and full-stack backend development skills required for this AI-enabled employee services role.

Candidate has strong cloud infrastructure and DevOps expertise but lacks the spacecraft avionics, electrical systems, safety-critical engineering, and systems engineering background required for this specialized aerospace role.