Engineering Execution Manager Jobs

Location Qualifications: This role is available for hybrid work (2 days in office) from our office in Bucharest. About the position As a Backend Engineer, you'll be pivotal in crafting innovative solutions that transform the creation, organization, and distribution of sales content. Catering to Sales Enablement specialists and Marketing Content Owners, you'll harness cutting-edge technologies to continuously elevate our platform, maximizing its impact on our users. Your role will involve not just expanding and refining our codebase, but also driving innovation for new features. You’ll take full ownership, writing functional, automated, and scalable code that operates seamlessly within our cloud infrastructure and is efficiently monitored. Key Responsibilities Develop high-throughput, maintainable backend services and API integrations using Node.js, TypeScript , or Go. Design cloud-native microservices and serverless workflows optimized for resilience, speed, and cost efficiency. Take features from design and technical RFCs through development, automated testing, CI/CD, and production deployment. Lead impactful code reviews, mentor teammates, and refine operational standards like observability, telemetry, and alerting. Identify bottlenecks across storage, databases, and network layers to keep platform latency minimal as we scale. Required Skills 3+ years of hands-on experience building production-grade backend systems. Strong proficiency in at least one modern language/runtime: TypeScript, Node.js, or Go. Experience architecting and deploying services on AWS (e.g., Lambda, ECS/EKS, DynamoDB, SQS/SNS, RDS). Practical understanding of distributed systems, API design (REST/GraphQL/gRPC), caching strategies, and telemetry (Datadog, OpenTelemetry, etc.). Strong commitment to automated testing (unit, integration, e2e) and continuous deployment practices. Excellent asynchronous communication skills and a preference for building iteratively in agile environments. Comp

About The Team The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you! About The Role: Site Reliability Engineers at Rubrik are systems/software engineers who ensure that Rubrik's infrastructure services run smoothly and have the capacity for future growth. What you’ll do: Ensure we maintain high availability and durability of our databases Establish best practices for internal teams to write performant SQL queries Perform periodic database upgrades minimizing downtime for our customers Design, implement and maintain relational database systems for performance and reliability Manage and run backend systems like Kubernetes, MySQL and everything in between Drive reliability, availability and efficiency improvements to Rubrik's Polaris Cloud Platform Good mix of software and system engineering skills Participate on-call rotations across continents, using a follow-the-sun model Write and review code, plan and execute upgrades, develop documentation and capacity plans, and debug production issues Work cross-functionally with various engineering teams Build monitoring tools and automation to increase efficiency of all teams Good written and verbal communication skills Drive FedRamp Certification process Good written and verbal communication ski

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge AI Governance is one of the fastest-emerging categories in enterprise software. The first Gartner® Magic Quadrant™ for AI Governance Platforms was published this year, and OneTrust is named a Visionary in it. OneTrust is looking for a Principal

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role Enterprises hand Cohere their most sensitive data and put our models inside workflows they can't afford to get wrong. Securing that means working on problems the industry hasn't settled yet, what authorization means when an agent acts on a user's behalf, how to contain tools that consume untrusted input, and whether tenant boundaries hold when a model can be steered by the data it reads. The established playbooks only take you so far. We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation, testing what ships, and turning what you learn into defaults other teams inherit. This is a hands-on engineering role, not an advisory one. What you’ll do Lead security reviews. Review architecture, code, and security-sensitive changes. Identify both individual vulnerabilities and the recurring design patterns behind them. Secure AI-powered products. Evaluate risks such as prompt injection, unsafe tool use, identity and delegation failures, excessive agency, data exposure, tenant isolation, and san

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry's SDKs instrument dozens of platforms and our ingest pipeline takes in billions of events every day. The Telemetry Experience team owns what happens next: the product surfaces and APIs where that telemetry turns into something a developer can actually debug with. As a Senior Software Engineer on Telemetry Experience, you'll own that experience across the sentry.io product - Python/Django and Postgres on the backend, React and TypeScript on the frontend. You'll work upstream with our SDK teams on what gets sent and with our ingest teams on how it arrives, then own the part customers actually touch: the APIs, the workflows, and the interfaces where it all lands. Your job is to make that feel native to every developer who uses it, whether they ship a backend service, a mobile app, or a game. In this role you will Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move Work across the full stack of the Sentry monolith. React and TypeScript in the browser, Django and Postgres behind the API. Most projects here touch both, and the interesting decisions live at the seam Partner closely with SDK and ingest teams. Telemetry arrives exactly as the SDKs send it and as the pipeline shapes it. You'll shape those contracts together with the engineers who own them, rather than working around what shows up Collaborate daily with product managers, designers, and other product engineers. You'll bring the technical persp

Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Software Engineer, you'll be one of the first engineers on our Agent Training & Evals team. You'll build infrastructure to evaluate AI agents at scale against real human expertise, in safe and secure environments. The better we get at this, the more useful, reliable and safe agents become. This is a genuine 0→1 role. There isn't a well-established playbook or existing architecture for you to simply maintain. You’ll shape the team’s technical direction and the products we build. You'll work closely with engineering, product and AI research to turn ambiguous problems into scalable systems, and you'll see the impact of what you build directly. What you’ll be doing in the role Build a platform to support evaluating and fine-tuning agents Take prototypes to production; turn experiments and research ideas into reliable, well-tested software Own what we ship as it scales in production Solve hard problems around data, compute, orchestration, scaling, security and reliability Work with emerging agentic AI technologies and rapidly evolving models Make effective product and technical decisions in a highly experimental environment Partner closely with customers, product engineering and AI research to turn problems and opportunities into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team What you’ll bring to the role A background in Software Engineering, Data Engineering or MLOps Strong experience building scalable infrastructure or distributed systems in the clo

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. Role: As a Senior Quality Engineer - you will play a pivotal role in elevating our quality practices across customer-facing event management workflows, booking and registration experiences, operational administration, product integrations, and complex distributed systems. You will be an expert within our engineering organization, deeply understanding product behaviour, customer journeys, business rules, and the systems that support seamless conference and event experiences. This role will balance hands-on individual contributor responsibilities with leading, influencing, and coaching your peers. This individual contributor role is for someone who is passionate about seeing systems holistically, has a strong vision for product quality, and is eager to drive the highest standards of customer experience, functional correctness, usability, accessibility, reliability, performance, and release confidence. You will leverage your deep understanding of SaaS product behaviour, end-to-end workflows, integrations, environments, and customer operations to guide and influence our development process. You will not manage people. You will set the quality bar for your team, do the work to hold it, and coach the engineers, product managers and designers around you to share ownership of it. You will report to the Director of Quality and work day

P-298 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the architectural resilience and operational integrity of the underlying platform is paramount. Databricks is seeking a Staff Systems Development Engineer (GovOps) to join our Cleared Engineering team in McLean, VA. Sitting at the vital intersection of core infrastructure operations and active platform reliability, this team serves as the ultimate technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments. In this staff-level capacity, you will operate as a technical force multiplier, moving beyond complex escalation resolution to architect long-term system stability, drive fleet-wide supportability features, and eliminate systemic operational bottlenecks across multiple platform domains, including Compute, Networking, Storage, IAM, and OS internals. Serving as a primary technical pillar, you will bridge the gap between uncleared core engineering teams and cleared high-side environments, providing high-side technical leadership, virtual and physical escorts, and precise cross-boundary communication. If you are a seasoned systems authority who thrives under pressure, excels at designing tooling for constrained en

P-298 About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role s enterprise data enclaves and Generative AI applications become mission-critical to national security and public sector modernization, maintaining the reliability and operational integrity of the underlying platform is paramount . Databricks is seeking a Senior Support Engineer (GovOps) to join our Cleared Engineering team in McLean, VA . Sitting at the vital intersection of core infrastructure operations and active platform reliability, this team serves as the ultimate technical authority for our platform across GovCloud, FedRAMP High, and air-gapped environments . In this role, you will move beyond basic ticket resolution to handle the hardest technical escalations across our platform domains—including Compute, Networking, Storage, IAM, and OS internals . You will partner directly with Core Engineering, conduct deep live troubleshooting, safely execute automation tools, and isolate complex system boundary blocks inside secure enclaves . If you are a systems specialist who thrives under pressure, enjoys writing custom tooling to unblock platform bottlenecks, and wants to safeguard the infrastructure powering next-generation federal AI workloads, this opportunity provides unmatched scope and impact . The Impact You’ll Have The Impact You’ll HaveDrive High-Side Platform Reliability: Serve as the techn

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals,

RDQ427R70 Our mission at Databricks is to radically simplify the data lifecycle with a unified Lakehouse platform for data engineering, analytics, and AI. The Lakehouse addresses major challenges in enterprise data platforms, including reliability, data staleness, operational complexity, total cost of ownership, and data lock-in. Learn more about the Lakehouse architecture. Lakeflow is a critical part of this vision, helping customers build and operate streaming and batch ETL pipelines that power business-critical data products. As these workloads become increasingly mission-critical, customers need them to continue operating through infrastructure failures and cloud-region outages. As a Staff Engineer on the part of the Lakeflow Disaster Recovery team, you will design and implement distributed systems that replicate and recover pipelines across regions. A pipeline is more than source code and output tables: it includes streaming checkpoints, source offsets, stateful operator state, table versions, transaction metadata, schedules, and dependencies across a dataflow graph. You will solve challenging problems involving consistency, idempotency, causal ordering, failover, failback, and safe recovery without silent data loss or duplication. You will work in one or more of the following areas: Cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views Distributed consistency across pipeline dependencies, table versions, and transaction logs Failover and failback workflows with conservative correctness guardrails Deep clone, metadata reconciliation, observability, and failure-injection testing High-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes What we look for: A passion for distributed systems, databases, storage systems, streaming systems, or reliability engineering Strong software engineering skills in Java, Scala, C++, Go, Python, or a similar production language Understandin

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Software Engineer, Backend on the Client Lifecycle team within the Institutional group, you'll own the backend systems that take institutional clients from application to first trade and keep them operating independently once they're live. You'll design and scale Unified Business Onboarding, KYC Refresh, provisioning, and the access-control stack, partnering closely with Compliance, Identity, Onboarding Ops, and every Prime product team to ship onboarding and access controls for new products. What you'll do: Own backend services that move institutional clients from application to first trade, including Unified Business Onboarding, KYC Refresh, and provisioning. Drive onboarding automation, including automated screening, risk scoring, and auto-provisioning, so low-risk clients complete onboarding without an ops ticket. Lead design and implementation of Organizations Service as the source of truth for institutional client data, including data quality, entity uniqueness, and Salesforce decoupling. Partner with Product, Compliance, Onboarding Ops, Identity, and Prime product teams to ship onboarding and access controls for new products including FCM, Hudson derivatives, and Prime Custody. Shape the access-control stack (roles, permissions, policies, and consensus) so complex institutions can operate on Prime without opening a ticket. Mentor engineers and rais

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastru

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Responsibilities: Design and develop control‑plane and system services for a firewall platform, operating above the networking dataplane (OSI Layer 3+). Build and maintain management interfaces and APIs , including configuration frameworks, CLI, secure access (SSH), logging, and diagnostics. Implement security services such as authentication (SAML), guest access, SSL/TLS handling, and certificate lifecycle management . Develop embedded services for content filtering , including URL categorization, reputation, and rating systems, along with SNMP/telemetry support. Lead efforts in licensing systems , vulnerability remediation, and secure architecture in collaboration with cross‑functional teams. Requirements: 8+ years of experience in C/C++ systems development for embedded platforms, security appliances, or network operating systems. Strong hands‑on expertise with configuration frameworks, service APIs, CLI development, logging systems, and secure remote access (SSH) . Solid understanding of L3–L7 networking and security concepts , including SSL/TLS, authentication, identity federation, and PKI. Experience with certificate management, license enforcement fra

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Surfaces Moments is a ML team within the Personalization Mission focused on creating moment-based experiences across Spotify surfaces. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it. By combining cutting-edge machine learning, recommendation systems, and product thinking, the team delivers highly relevant, personalized experiences to millions of listeners around the world. As a Staff Machine Learning Engineer, you will help shape the future of personalized discovery and engagement at Spotify. You'll work at the intersection of recommendation systems, large language models, and production-scale machine learning infrastructure to build experiences that delight users and drive meaningful impact. This role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale. What You'll Do