Datadog is hiring a Senior Software Engineer to join the Private Action Runner team in Paris. The role involves designing and implementing scalable, secure action-execution infrastructure (authentication, permissions, auditing, safe execution), owning production reliability and deployments (including feature-flag rollouts), and mentoring/leading a small team of three engineers with an expected transition into an Engineering Manager 1 role. The position emphasizes leveraging AI tools and designing AI backend systems.

Lead the Developer Experience strategy and roadmap, build and improve CI/CD pipelines and developer tooling, own the service catalogue (Backstage) and paved-road templates (Java/Spring, Python), define productivity metrics (DORA, SPACE), prepare the platform for agentic/AI-assisted development, and manage and mentor a team of platform and developer productivity engineers.

Fleetio seeks an Engineering Manager to lead the Payments engineering team, partnering with Product and Engineering to deliver reliable, well-tested payment and billing systems. The role includes technical leadership, coaching and developing engineers, guiding tradeoffs around reliability and maintainability, driving roadmap outcomes, and recruiting talent. Candidates should have 2–3+ years leading engineering teams in SaaS and experience in payments, billing, subscription platforms or fintech; Ruby on Rails experience is strongly preferred and experience with Stripe, Recurly, or Chargify is desirable.

Lead Growth 1 and Growth 2 engineering squads (initially ~7 direct reports) to run structured experimentation programs and deliver measurable product and business outcomes. Requires 2+ years as an engineering manager or technical people leader, deep experience with experimentation and analytics (e.g., Snowflake, Segment, Growthbooks), and familiarity with SaaS web application stacks (Ruby on Rails and React preferred). Role partners closely with Product, Design, and Data to prioritize and translate experiment learnings into engineering work.

Lead a Professional Services team focused on implementing Veeva RIM, responsible for hiring, performance management, staffing, and delivery oversight. The role combines hands-on delivery (up to 25% customer-facing time), operational excellence in utilization and resource management, and cross-functional coordination to drive customer and employee success. Requires 5+ years of software implementation experience and 3+ years of people management.

Playlist is hiring a Manager, Technical Program Management (Cyber Security) to lead and grow a team of Security and IT technical program managers, own the cyber and IT program portfolio, and establish operating rhythms for intake, prioritization, resourcing, and reporting. The role requires 6+ years in program management (including 2+ years managing people), experience running security or IT programs, strong technical aptitude, and familiarity with information security frameworks such as NIST, PCI-DSS, or HITRUST. Compensation range in the United States is listed as $131,000 to $175,000 base salary.

Lead a team of machine learning engineers responsible for sourcing and shaping candidate inventory for Reddit's personalized feeds. Responsibilities include defining technical vision and roadmap for Feed Retrieval, overseeing design and optimization of retrieval systems, establishing measurement and experimentation practices, collaborating with ML platform and product teams, maintaining system performance and reliability, and recruiting/hiring. Qualifications include 2+ years managing ML or recommender-systems teams and hands-on experience with large-scale production ML (recommenders, embeddings, transformers/LLMs). Base salary range listed: $253,300–$354,600 USD per year.

Manage the Feed Ecosystems team to define technical vision and roadmap for recommender-system investments; oversee design and delivery of ML systems for cold-start relevance, post/community distribution, and feed quality; partner with product, design, data science, safety, ads, and platform teams; and hire and develop ML engineering talent. Requires 2+ years leading ML or recommender-systems teams and hands-on experience with large-scale production ML.

Lead and coach a team of Storage Production Engineers to design, deploy, and improve distributed, parallel file, and object storage systems. Own capacity planning, lifecycle management, high availability, disaster recovery, incident response, and operational KPIs. Requires hands-on experience with enterprise storage platforms, storage networking/protocols, automation/IaC, and monitoring/observability. 12+ years experience and 6+ years of people/technical leadership are required.

Technical lead role overseeing a team of software engineers in PNC's Site Reliability Center. Responsibilities include designing and developing software solutions, providing technical guidance, leading incident response (rotating on-call), and applying SRE practices. Required skills include OpenShift, Hogan, Dynatrace and Linux; Windows Server, Oracle, SQL and MongoDB are listed as beneficial. Position based in PNC IT hubs (Phoenix, Denver, Birmingham, Dallas, Cleveland, Pittsburgh) or eligible remote within PNC footprint. No visa sponsorship provided.

Parexel is hiring a Senior Director to lead light-track delivery and AI automation (RPA, AI agents/assistants, citizen-developer enablement) in a remote capacity across the US and Canada. The role manages a portfolio of small-to-medium automation initiatives, establishes governance and reusable patterns, oversees UiPath-based RPA and agent development (e.g., Copilot Studio, PAIA), and leads multidisciplinary distributed teams. Required: bachelor’s degree, 12+ years in technology delivery/automation leadership, and at least 5 years leading multidisciplinary teams; experience in regulated/life-sciences environments is valued.

Manage and scale an engineering team developing and optimizing open-source deep learning inference frameworks (examples: SGLang, vLLM, FlashInfer) for NVIDIA GPUs. Responsibilities include roadmap and execution, cross-team partnership with compiler and libraries teams, performance tuning and profiling of LLMs and multimodal models, and fostering technical excellence. Requires MS/PhD or equivalent, 6+ years software development experience (including 3+ years in technical leadership), strong C/C++ skills, GPU programming experience (CUDA, Triton, CUTLASS), and production experience deploying or optimizing deep learning models.

Lead and scale a team of Systems Engineers and Site Reliability Engineers to operate CrowdStrike's global production infrastructure supporting millions of endpoints. Responsibilities include driving technical strategy for large-scale distributed systems, implementing AI/ML for predictive maintenance and anomaly detection, increasing automation to reduce operational overhead, establishing SLAs and incident response processes, and mentoring team members. Requires 10+ years engineering experience, 5+ years managing technical teams, deep expertise with Kubernetes, virtualization, cloud and bare metal orchestration, strong automation/CI/CD and observability experience, and demonstrated use of AI technologies for infrastructure optimization. Salary range for U.S. candidates: $120,000–$180,000/year.

Hands-on role leading lab hardware lifecycle for enterprise servers, prototype platforms, test equipment, and related infrastructure. Requires 5+ years in engineering/data center/hardware validation or similar labs, strong hardware troubleshooting and inventory/asset-tracking skills, and experience with ESD and lab safety. Familiarity with firmware/BMC/IPMI, Linux, networking, RMA workflows, scripting, and lab automation is a plus.

NVIDIA seeks an Engineering Manager to lead software and production engineers for DGX Cloud infrastructure across NVIDIA Cloud Partner and on-prem environments. Responsibilities include driving cluster operations, Kubernetes operability, automation, GitOps, observability, incident response, defining team priorities and roadmap, and partnering with platform, storage, networking, security and TPM teams. Requires 8+ years industry experience (including 2+ years managing engineers) and experience with production infrastructure, cloud platforms, Kubernetes or distributed systems.

iFIT seeks a Director, Enterprise AI Enablement to co-chair AI governance, define technical standards and guardrails, build a community of business AI leaders, and deliver hands-on automations and integrations with enterprise systems. Requires 6+ years in a senior/lead engineering capacity, strong experience with agentic AI, RAG, multi-agent workflows, evaluation tooling, and proven ability to coach teams and measure business impact.

GitHub is hiring a Director, Technical Program Management to lead TPM efforts within Engineering. The role focuses on cross-functional program planning and execution, stakeholder alignment, risk management, OKRs/KPIs and telemetry, release and governance processes, and developing TPM team effectiveness. Requires multi-year experience in engineering/product/program management and in managing cross-functional projects. Role is remote within the United States. Salary range: USD 140,400–372,300 per year (base).

Principal Data Engineer responsible for shaping how data is ingested, modelled, governed and consumed; set technical direction and standards, build data infrastructure on AWS using Terraform, and partner with AI engineering to make the platform AI-ready. Strong experience with Apache Iceberg (or similar), dbt, AWS data services (S3, Glue, Athena), Terraform, and leadership of data engineering teams is highlighted. Role is remote-hire across South Africa, Portugal, and Spain; for EU target markets (Spain and Portugal) base salaries start from €89,000 gross per year.

Hands-on Engineering Manager responsible for leading and growing an engineering team, owning delivery, architecture, hiring, and professional development. Requires 10+ years of engineering experience (including 4+ years in engineering management), experience with cloud-based SaaS products and running services on AWS/GCP/Azure, strong SQL/BigQuery and database skills, and familiarity with AI-augmented workflows.

DoiT seeks an Engineering Manager to lead a remote, hands-on engineering team across multiple countries. The role combines technical leadership (coding, architecture, code review) with people management (hiring, coaching, performance reviews) and delivery ownership for cloud-based SaaS products using AWS/GCP/Azure, BigQuery/SQL, and API-first design. Requires 10+ years engineering experience including 4+ years in engineering management.