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Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on Development Health, you'll help make the systems that engineering teams rely on more reliable, maintainable, and easier to extend. You'll build and improve the automation, tooling, and data that help teams spot problems early and ship with less friction. As customer zero for GitLab, we support engineering workflows on GitLab's own product at scale. You'll use the product in demanding, real-world ways, surface the friction and gaps you find, and contribute to improvements that get built into the product for GitLab's customers. You'll support work such as: Health alerting and remediation routing for GitLab's core continuous integration and continuous delivery (CI/CD) pipelines Flaky and slow test detection systems Engineering analytics and reporting that engineering teams use to make decisions What you’ll do Own and evolve core Development Health systems, from design through production. Improve the reliability, maintainability, and test coverage of long-lived automation, and reduce reliance on undocumented knowledge by documenting and simplifying legacy systems. Partner with engineering managers and product teams to identify workflow pain points and turn them into well-scoped, measurable improvements. Work with data to show whether changes improve engineering health, and use it to prioritize. Mentor intermediate engineers through code review, design feedback, and pairing. Communicate clearly in writing and asynchronously, including status, tradeoffs, and proposals for stakeholders across Engineering. Monitor the health of production systems, troubleshoot incidents, and contribute to root cause analysis. Use artificial intelligence (AI) agents and assistants to analyze issues and problem areas to help shape the team's product roadmap. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Substantial experience as a backend or tooling engineer, with a track record of owning production systems end to end. Strong proficiency in Ruby, or the ability to become productive quickly. Experience maintaining or modernizing legacy codebases safely. Comfort with CI/CD systems, application programming interfaces (APIs), and automation at scale. Independent problem-solving and clear, concise written communication: you spot problems early, raise risks proactively, and drive work to completion without close direction. Experience writing automated unit and integration tests and taking part in collaborative code review. Experience using AI coding assistants to speed up development while critically reviewing their output. Optional experience: Rails; developer productivity, engineering analytics, or internal tooling; GitLab's product and open source contribution workflow; data pipelines or metrics reporting; or agent-based workflows that run in production. About the team Development Health is part of Developer Experience. Our work is mostly internal, and our customers are GitLab team members across an engineering organization of hundreds of engineers. We're all-remote, asynchronous by default, and documentation-driven, in line with GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are seeking a Security Engineer to help shape and deliver QRT's Identity Governance (IGA), Privileged Access Management (PAM), and Secrets Management capabilities. This is a hands-on engineering role requiring strong technical depth, stakeholder management, and the ability to influence change across the organisation. You will work with both technical and non-technical stakeholders to develop scalable identity and access management solutions, drive adoption of security best practices, and improve the maturity of IAM as a security discipline across QRT. Responsibilities Own and continuously improve QRT's IGA, PAM, and Secrets Management capabilities. Build strong relationships with Infrastructure, Engineering, HR, and business stakeholders to understand requirements and drive outcomes. Lead identity and access initiatives from conception through to delivery, influencing stakeholders and driving adoption. Design and implement solutions for identity lifecycle management, privileged access, authentication, and secrets management across on-premises and cloud environments. Design and implement role-based access control (RBAC) models and policies within the IGA Tool. Support uplift and maintenance of Active Directory (AD) groups to align with governance policies. Integrate secrets management platforms with CI/CD pipelines, cloud services, and enterprise applications. Develop automation and Infrastructure-as-Code / Identity-as-Code solutions to improve security, governance, and operational efficiency. Develop automation and integrations to improve security, governance, and operational efficiency. Provide guidance on IAM principles, governance models, standards, and best practices. Support access reviews, audits, investigations, and risk management activities. Act as a subject matter expert for identity-related technologies, processes, and controls. Skills & Experience 5-10 years' experience in Identity & Access Management, Security Engineering, or a related discipline. Strong understanding of Identity and Access Management principles, methodologies, governance, and operating models. Experience delivering IGA, PAM, and Secrets Management capabilities in complex enterprise environments. Experience working across both on-premises and cloud environments, integrating identities, applications, and access controls across hybrid platforms. Hands-on engineering experience implementing, integrating, and automating security technologies. Ability to engage effectively with both technical and non-technical stakeholders and influence decision-making at all levels. Proven ability to take ownership, drive initiatives, and deliver outcomes with minimal supervision. Strong understanding of identity lifecycle management, least privilege, RBAC, access governance, authentication, and privileged access management. Strong hands-on experience with platforms such as SailPoint (ISC), Delinea, CyberArk, HashiCorp Vault, or similar technologies. Strong automation-first mindset and experience applying Infrastructure-as-Code and Identity-as-Code practices Excellent communication, stakeholder management, and problem-solving skills. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Responsibilities: — Develop infrastructure for secure service connectivity as part of Fabric Zero Trust Networking. — Work on workload-identity, authorization, network-segmentation, and egress-control mechanisms.

Задачи: внедрение и интеграция решений на базе искусственного интеллекта для бизнеса. Требования: опыт работы с Git, Docker, Linux, Python, Kubernetes, Nginx, CI/CD, Bash. Условия: Junior грейд.

Location: New York, Chicago, or Remote CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role As a Senior Software Engineer - Agentic you will build the event-driven systems that keep claims moving for our customers, connecting our AI agents to the rest of CCC. When these systems work, claims move faster and the machinery stays invisible. Agentic coding tools are how you move fast. What you add is what they are worst at: distributed-systems design, correctness when things fail partway, and the debugging nobody else gets to the bottom of. You own a product area end to end and define the reliability bar it ships against. Salary range is: $180,000 - 225,000 This position is bonus eligible. Key Responsibilities: Own the delivery of backend services, built in Python and TypeScript, from an ambiguous problem, scoped with product managers and data scientists, through production operation. Build and operate durable, event-driven, multi-tenant systems in which agents run as steps inside deterministic workflows, designing their failure modes, replay semantics, and cost profile before they show up under load. Own tracing and audit for your area: every model call and agent step recorded, so any recommendation can be reconstructed and cited back to its sources by on-call and auditors alike. Own how claims automation data is modeled and managed across our relational, document, and graph stores. Ensure the security and isolation of sensitive data. Author the design documents for complex systems to get feedback and buy-in, review other engineers' designs and code with the same care, and mentor the engineers in your area. Raise the bar for how the team works with agentic coding tools: sharpen the specifications, instruction files, hooks, and permission policies they run under, and hold generated code to the same review standard before it merges. Take part in a shared on-call rotation for the systems you own. Requirements: 6+ years of professional software engineering experience, including an event-driven system you designed, shipped to customers, and ran in production. Python and TypeScript at the level of setting a team's conventions, plus a background in a systems language such as Rust, Go, Java, or C#. Strong computer science and distributed-systems fundamentals you use at work: concurrency, consistency, ordering, and how systems fail. Event-driven systems built on a broker such as Kafka, Azure Event Hubs, or Service Bus that handle duplicate, late, and failed events without losing or double-processing work. Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made. Systems architected and operated on Azure or AWS, with CI/CD and infrastructure as code, and hands-on time with a durable workflow engine such as Temporal or the Durable Task Scheduler. A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why. Technical design documents you have authored for systems that span more than one team, used to get feedback and buy-in before building, and that those teams then built to. Clear writing and discussion for technical and non-technical audiences: drawing out a customer's real problem and explaining the trade-offs back to them. Even Better if You Have: React and TypeScript experience, so you can deliver a full-stack feature end to end, especially chat, streaming, and citation-heavy AI experiences. Formal methods or fault-injection testing, such as Lean, TLA+, or deterministic simulation. Performance work below the application layer: profiling, memory, and concurrency tuning. Familiarity with how AI agents reach their tools and enterprise systems, through the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices. Exposure to the insurance, claims, or automotive repair domains. What Success Looks Like: In your first six months, services you built run in production against SLOs you set, and you can show they held as load grew. You are trusted with the hardest correctness and scale problems, and you turn them into a design, a shipped system, and a number you can put in front of a customer. You are energized by what agentic coding tools make possible. Your team ships more than its headcount suggests, and your specifications and reviews are why the output survives production. You have a passion for systems that last: failures are designed for in advance, and when one happens anyway, the trace says exactly where. Standards you set for reliability, reviews, and design documents outlive the project they started on. Engineers you mentor ship reliable services without your direct involvement. You enjoy getting a product manager, a data scientist, and a customer's team into one room and coming out with a single agreed scope, and you can argue a position without needing to win it. You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued. Interview Policy & Privacy Notice: A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE . About CCC's Commitment to Employees: CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most. At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success. CCC offers competitive compensation and benefits to support you and your families, including: 401K Match Paid time off Annual Incentive Plan Performance Bonus Comprehensive health insurance Adoption Assistance Tuition Reimbursement Wellness Programs Stock Purchase Plan options Employee Resource Groups For more information about our benefits, please check out our careers site . Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, LIMASSOL, Cyprus Spotware Systems is seeking a highly skilled Senior DevOps Engineer with extensive experience in supporting Java-based product environments . This role is ideal for someone who blends deep infrastructure knowledge with automation expertise, has a solid understanding of modern DevOps practices, and thrives in complex, distributed systems. You will be instrumental in ensuring scalability, reliability, and security across our production environments. Responsibilities Design, build, and maintain CI/CD pipelines using GitLab CI and Jenkins. Automate infrastructure and application deployments with Ansible . Manage Kubernetes clusters, including CNIs, networking, and troubleshooting. Deploy and manage services using Helm and helm-file . Implement and maintain monitoring and observability stacks (Prometheus, Grafana, Loki, VictoriaMetrics, ELK). Set up distributed tracing with OpenTelemetry . Profile applications and systems using tools like perf, pprof, and Java heap dump analyzers. Ensure security best practices across CI/CD, secrets management (Vault, Sealed Secrets), and static code analysis (SonarQube). Optimize containerization workflows, focusing on image layering, distroless builds, and runtime management (containerd, CRI-O). Manage networking in Kubernetes: Services, Ingress, NetworkPolicies, DNS, and external load balancer integrations. Troubleshoot complex networking issues using tcpdump, traceroute, Netstat, and other diagnostic tools. Contribute to infrastructure as code (Terraform, where applicable). Develop and maintain scripts and tools in Go, Python, Bash, and Groovy . Support and optimize Java-based microservices in production. Requirements 3+ years of experience in DevOps or SRE roles. Proven expertise with Helm , helm-file , and Ansible in production. Strong background supporting Java-based microservices . Hands-on experience with GitLab CI and Jenkins pipelines. Deep knowledge of Kubernetes (core components, CNIs, networking). Strong understanding of Linux systems in production. Experience with monitoring and observability: Prometheus, Grafana, Loki, VictoriaMetrics, VictoriaLogs . Familiarity with distributed tracing using OpenTelemetry. Experience with secrets management (Vault, Sealed Secrets). Strong troubleshooting skills with networking (TCP/UDP, DNS, load balancing, ingress controllers) . Competency in Go, Python, and Bash scripting. Understanding of microservices architecture , event-driven architecture and the CAP theorem . Proven ability to support incident response and on-call rotations. Nice to Have Experience with Infrastructure as Code (Terraform) . Familiarity with Service Meshes (Istio, Linkerd). Knowledge of advanced networking (eBPF, Calico, Cilium, IPVS). Experience with profiling tools and JVM troubleshooting (Eclipse MAT, jmap). Exposure to CI/CD security best practices and static analysis tools like SonarQube. Working Conditions Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance. Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer, Data Governance & Trust San Mateo, CA About the role Sony Interactive Entertainment is seeking a Staff Software Engineer to help shape and deliver the technical foundation for Data Governance and Trust across our data and AI ecosystem. Our ambition is to make data understandable, reliable, reusable, and appropriately governed for the people, applications, and AI systems that depend on it. Achieving this requires shared platform capabilities, clear ownership, and governance practices embedded into how teams build and operate data products. In this role, you will establish technical direction, lead initiatives across teams, and remain hands-on in architecture and implementation. You will connect metadata, lineage, data quality, semantic context, and policy controls into practical capabilities that help teams use data with confidence. You will also be a trusted technical representative for the Data Governance and Trust group. We are looking for someone who can lead productive discussions, explain complex tradeoffs, navigate difficult conversations, and build alignment across engineering, business, governance, security, and privacy stakeholders. This is an individual contributor leadership role with impact across teams. What you will do Set technical direction and deliver shared capabilities Shape the architecture and technical roadmap for Data Governance and Trust in partnership with engineering leadership, product partners, domain teams, and governance stakeholders. Lead initiatives from discovery and ambiguous requirements through design, implementation, adoption, and ongoing operation. Design and build services, integrations, APIs, and automation that connect metadata, ownership, classification, lineage, quality signals, and policy information across the data ecosystem. Establish reusable engineering patterns that embed trust requirements into data publishing, discovery, access, consumption, change, and retirement. Stay hands-on through prototypes, production code, design reviews, and the resolution of complex technical problems. Lead conversations and build alignment Serve as a technical spokesperson for the group in architecture discussions, planning forums, domain engagements, and leadership reviews. Facilitate discussions among stakeholders with different priorities, surface disagreements constructively, and guide decisions toward clear outcomes. Explain technical choices, business implications, risks, and costs to both engineering and nontechnical audiences. Challenge assumptions respectfully, incorporate feedback, and help teams reach workable agreements on standards, ownership, and implementation. Document decisions, clarify responsibilities and dependencies, and follow through on commitments across teams. Build relationships that enable adoption through credibility, collaboration, and influence. Make governance practical and sustainable Partner with governance, security, privacy, and domain stakeholders to translate agreed requirements into implementable controls and traceable evidence. Help domain teams define data contracts, quality expectations, ownership responsibilities, and lifecycle practices supported by shared platform capabilities. Connect quality and reliability signals to accountable owners, consumer communications, and remediation workflows. Evaluate build, buy, and integration choices based on interoperability, usability, reliability, operating cost, and long-term flexibility. Measure success through improvements in approved data use, adoption, reliability, reuse, and operational effort. Prepare the foundation for AI consumption Develop ways to make business meaning, provenance, quality status, and permitted-use information available to applications and AI through supported interfaces. Partner with AI and platform teams on governed access to data and context, including traceability and defined behavior when required trust information is missing. Support shared semantic definitions and metadata models while preserving clear accountability within business domains. Strengthen the team Mentor engineers in system design, technical judgment, stakeholder engagement, and leadership. Raise engineering standards for reliability, maintainability, testing, observability, and documentation. Help engineers take broader ownership and communicate their recommendations effectively. What you bring A track record of designing, building, and operating production software or data platforms, with demonstrated impact across multiple teams. Deep knowledge of metadata management, data governance, lineage, data quality, privacy engineering, access controls, or closely related platform domains, grounded in practical delivery. Hands-on expertise building or extending metadata and catalog platforms such as Atlan, Alation, DataHub, OpenMetadata, or comparable systems. A practical understanding of federated ownership models, data stewardship, semantic models, business glossaries, or certified metrics. The ability to work across warehouse, lakehouse, streaming, and data transformation environments. Demonstrated delivery of data contracts, automated lineage, quality checks, or policy as code. Sound judgment in translating ambiguous business or policy requirements into clear technical designs and delivered outcomes. Proven ability to lead initiatives across teams without direct reporting authority. Skill in leading difficult technical or organizational conversations, resolving competing priorities, and securing clear decisions and commitments. Strong written and verbal communication, including architecture proposals, decision documents, and presentations tailored to different audiences. A collaborative approach grounded in listening, respectful challenge, and shared accountability. A commitment to mentoring engineers, supported by examples of improving the effectiveness of the teams around you. What would be valuable Strong software engineering skills, including proficiency in a language such as Python, Java, or Go, and practical SQL experience. Experience with distributed systems, APIs, integrations, and cloud data infrastructure, including sound judgment about reliability, consistency, security, and failure handling. Experience implementing controls that generate operational evidence. Delivering governed data or context services for analytics, applications, machine learning, or AI agents. Leading platform adoption, modernization, or migration across organizational boundaries. Representing technical work through internal forums, technical writing, communities of practice, or external presentations. What success looks like Partner teams understand the technical direction, the decisions required, and their responsibilities. Cross-team discussions produce documented decisions, accountable owners, and sustained follow-through. Priority workflows demonstrate connected governance capabilities in production, supported by clear operating ownership. Producers and consumers can access relevant meaning, ownership, lineage, quality, and permitted-use information within their workflows. Shared patterns reduce repeated implementation work and manual coordination. Engineers across the group grow in technical judgment, communication, and leadership. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $216,200 — $324,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Bengaluru, India We are looking for a Senior Data QE Engineer with solid experience in ETL testing and data validation, and strong SQL skills. You will design and run data quality tests, validate pipelines end to end, reconcile source and analytical data, and give engineering and business teams evidence for release decisions. You will also automate comparisons in Python, work with Airflow pipeline runs, and use AWS and Grafana to observe pipeline health. You will use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and you will review generated output before it is used. This position is intended for Hyderabad-based candidates who are available to work from the office. The client runs a large application landscape and the analytical datasets behind it. Data moves from PostgreSQL sources on AWS into Snowflake through orchestrated pipelines. Quality for that data is part of delivery: test design, checks on movement and transformation, quality metrics, and practical help when data has to be corrected. Data QE engineers own that hands-on work for data moving from source systems into analytical datasets, from test design through execution, investigation, and release-readiness reporting. Own data quality for data moving from source systems into analytical datasets, from test design through execution, investigation, and reporting. Design, implement, and execute data quality tests, and publish quality metrics and dashboards that producing and consuming groups can use. Validate pipelines end to end, covering movement, transformation, completeness, history, freshness, and compliance. Write reconciliation, drift, and quality SQL on Snowflake layered models (raw, history, silver, and gold), including slowly changing dimensions and merge behavior. Validate PostgreSQL sources with consistent snapshot counts and checks that logical replication kept the expected data. Use logical and physical data models and data contracts to assess downstream impact and set quality coverage. Automate data comparison and reconciliation in Python with pytest, and keep the checks in GitHub. Trigger pipeline runs in Airflow and read task results into the quality verdict. Investigate quality issues and support remediation with the groups that produce and consume the data. Design failover, outage, and volume tests and judge the evidence, including recovery time and recovery point. The platform team executes destructive and chaos tests. Run read-only checks in pre-production and production. Integrate quality checks with CI/CD on GitHub Actions or an equivalent tool. Use AWS and Grafana to observe pipeline health, including CloudWatch metrics, secrets metadata, and container platform state. Check classification, masking, and retention against the stated data rules. Track defects to closure in Jira and keep test cases and results in TestRail. Provide quality evidence, risks, and readiness input for releases. Use an AI coding assistant to analyze data and author SQL, Python, and quality checks, and review generated output before it is used. Senior-level data quality engineering experience in ETL testing and data validation. Strong SQL and Snowflake data-modelling experience, including layered raw, history, silver, and gold models, reconciliation and drift queries, and slowly changing dimensions and merge behavior. Experience with logical and physical data models and with assessing the downstream impact of schema and data-contract changes. Experience validating PostgreSQL sources, including consistent snapshot counts and logical replication. Hands-on Python automation for data comparison and reconciliation, using pytest or an equivalent framework. Experience running and reading orchestrated pipelines in Airflow or an equivalent scheduler. Experience validating data movement, transformation, completeness, history, freshness, and compliance from source systems into analytical datasets. Experience diagnosing data quality issues and supporting remediation. Experience integrating data quality checks with CI/CD using GitHub Actions or equivalent tools. Experience with test management and defect tracking in TestRail and Jira. Working knowledge of AWS and Grafana for pipeline observation, including CloudWatch, secrets management, and container platforms. Experience designing resilience tests and judging evidence for failover, outage, volume, and recovery objectives. Working knowledge of data classification, masking, and retention checks. Experience producing data quality metrics, reports, and dashboards. Experience with risk-based testing in Agile or Kanban teams. Hands-on use of AI coding assistants (Cursor, GitHub Copilot, Claude Code, Codex, or equivalent) to author SQL, Python, and quality checks, with human review of generated output. Ability to communicate clearly with engineering and business stakeholders. Experience providing quality evidence, risks, and readiness input for releases. Experience observing Snowflake Openflow or NiFi connector state well enough to recognize a stalled load. Experience with custom cross-table data quality checks that publish results for dashboarding. Familiarity with GenAI, LLMs, and agentic workflows for maintaining data quality checks. Familiarity with RAG and MCP concepts for QE tooling and for generating test data. Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent). Experience with service virtualization using WireMock or an equivalent tool, so checks can run when a dependency is unavailable. Experience specifying and reviewing dbt tests. Developers author those tests.

Задачи: — Проведение функционального, регрессионного и smoke-тестирования. — Разработка и поддержка тестовой документации (тест-кейсы, чек-листы). — Тестирование API, REST и интеграций. — Проверка веб-интерфейсов и пользовательских сценариев. — Выявление, документирование и сопровождение дефектов в Jira / YouTrack. — Проверка данных с использованием SQL. — Участие в тестировании релизов и взаимодействие с разработчиками и аналитиками. — Участие в улучшении процессов тестирования и ревью тестовой документации. Требования: — Опыт работы в тестировании ПО от 2–3 лет (Middle+). — Опыт работы в FinTech: платёжные сервисы, эквайринг, банки, процессинг или e-commerce с приёмом платежей. — Знание видов и уровней тестирования, техник тест-дизайна. — Опыт написания тест-кейсов и чек-листов. — Практический опыт работы с Jira / YouTrack, Postman или Bruno. — Базовые знания SQL и Git. — Понимание клиент-серверной архитектуры, HTTP, REST API, Webhook. — Навыки работы с DevTools, понимание Cookies, JWT и сессий. — Опыт тестирования веб-приложений и интеграций. Будет преимуществом: — Опыт работы с AI-инструментами (Cursor, Claude). — Опыт тестирования платёжных систем и сложных интеграционных сценариев. Условия: — Удалённый формат работы. — Развивающийся финтех продукт. — Сильная команда. — Возможность профессионального и карьерного роста.

Location: Ho Chi Minh City, Vietnam Position Overview As a Senior/ DevOps Engineer, you will scale, and secure our hybrid cloud and on-premises infrastructure across AWS and private bare-metal/virtualized environments. In this role, you will champion an AI-first paradigm—integrating AI tooling into root-cause analysis, proactive observability, automated incident response, and continuous deployment workflows. You will partner closely with engineering teams to streamline delivery pipelines, drive zero-downtime reliability, and ensure our mission-critical custody platforms operate at peak performance and bank-grade security. Duties & Responsibilities Architect, provision, and maintain multi-region AWS cloud environments alongside on-premises virtualized infrastructure using declarative Infrastructure-as-Code (Terragrunt). Manage, harden, and scale production-grade Kubernetes clusters, implementing advanced ingress controllers, service mesh, Helm/Kustomize packages, and GitOps pipelines (ArgoCD, Crossplane). Deploy, administrate, and maintain dedicated blockchain nodes (RPC, validator, archive, and sentry nodes across multiple Layer 1 and Layer 2 protocols), ensuring data synchronization, high availability, and network health. Enforce cloud and container security controls, including fine-grained Kubernetes network policies, IAM least-privilege models, secrets management, Kubernetes, linux and AWS security control and automated vulnerability scanning across delivery pipelines. Integrate AI and AIOps tooling into observability suites to deliver intelligent anomaly detection, automated log parsing, and rapid root-cause analysis. Performance tune microservices and cloud workloads to handle spikes in high-volume, low-latency financial transactions with high availability. Requirements 6–10 years of experience in Linux/Unix systems engineering, cloud architecture, and modern DevOps/SRE practices. Kubernetes Mastery : Production-grade expertise deploying and managing Kubernetes clusters (EKS / bare-metal), Helm, Kustomize, service mesh, and GitOps tooling (ArgoCD). Infrastructure as Code (IaC) : Deep hands-on experience using Terraform, Terragrunt, following modular, DRY configuration patterns. Programming & Automation : Able to understand at least one modern programming language with harness engineering skills. Cloud & Hybrid Compute: Extensive production experience in AWS, paired with practical exposure to on-prem virtualization platforms (e.g., Proxmox, VMware ESXi, or KVM). Deep Networking Knowledge: Strong grasp of OSI layer fundamentals (TCP/UDP, BGP, DNS, TLS/mTLS, HTTP/gRPC) and comfort debugging live traffic issues on the wire (tcpdump, Wireshark, eBPF). Databases & State: Operational familiarity with relational databases and middleware (PostgreSQL, MariaDB/MySQL, Mongodb, Redis, Kafka), including replication, failover strategies, and backup pipelines. Eligible to work in Vietnam. Bonus Experience Hands-on experience in cybersecurity practices (e.g., threat modeling, penetration testing remediation, SOC 2/ISO 27001 compliance standards, or managing HSM/KMS cryptographic infrastructure). Direct experience running, securing, and maintaining blockchain nodes (e.g., Ethereum, Bitcoin, EVM/Cosmos-based chains, or Solana). Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: H eart E mpowerment X cellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces Regular company & social events

Задачи: — Разрабатывать и поддерживать автотесты на Java/Kotlin/Groovy — Конфигурировать сборки на CI-сервере — Конфигурировать тестовые стенды Требования: — Опыт написания автотестов на Java/Kotlin/Groovy — Опыт работы с Junit/Cucumber/Spock — Понятие о принципах разработки ПО, ООП, паттернах проектирования — Знание методологий тестирования — Умение составлять запросы SQL — Умение написать чек-лист / тест-кейсы для функционала, покрываемого автотестами Условия: — Возможность профессионального и карьерного роста в компании — Опыт работы в распределенной команде профессионалов — Оформление по ТК РФ на бессрочный трудовой договор — Скидки на абонемент в фитнес-центр, курсы английского языка — Удалённый формат работы

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,100-162,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React          • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilo     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: San Francisco Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a Series B enterprise AI startup that raised $108M from a16z, Benchmark, First Round, BoxGroup, and YC, building infrastructure that turns complex documents into structured, AI-ready data. Its API-based platform processes PDFs, images, spreadsheets, and other unstructured files, helping organizations build production AI applications and automate document-intensive workflows. Our client supports AI-native startups and large enterprises with demanding accuracy and deployment requirements. The team is founder-led and engineering-first, with engineers working directly with customers and using what they learn to improve the product. THE MISSION Make complex document data reliable enough to build on. Our client helps organizations unlock information inside unstructured files while preserving the detail and structure that downstream applications depend on. The goal is to deliver accurate, usable data that holds up in production, not simply extract text that looks convincing in a demo. THE OPPORTUNITY Own the technical work that turns an enterprise evaluation into a successful production deployment. As a Forward Deployed Engineer, you’ll build applications, run evaluations, troubleshoot integrations, and stay close to customer results. You’ll partner with sales during technical evaluations, then own technical success for 1-3 enterprise accounts, helping customers resolve issues, deepen adoption, and expand into additional use cases. This is a founding role within our client’s developing FDE function. You’ll work directly with founders, product, and engineering to shape the platform and establish how future deployments are delivered. The role combines substantial engineering work with customer relationships and deployment responsibility. Both backend-leaning engineers and customer-facing FDEs are welcome, but independent coding and production deployment ownership are essential. This position requires full-time, in-person work in San Francisco, five days per week. WHAT YOU'LL DO - Turn customer requirements into working applications and integrations - Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking - Build custom applications, agents, evaluation tools, and product enhancements - Own technical success for 1-3 enterprise accounts, meeting weekly or biweekly - Resolve deployment and integration issues to deepen adoption - Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions - Explain technical decisions and trade-offs to customer stakeholders - Identify new use cases and expand deployments across teams - Translate customer insights into product improvements and engineering priorities WHAT YOU BRING - 3+ years of full-time production engineering experience shipping software for enterprise customers - Experience at a recognizable, high-growth startup with strong engineering standards - Independent ownership of building, deploying, and supporting production applications or AI pipelines - Strong production-level Python and engineering fundamentals - Solid understanding of AI, LLMs, and machine learning concepts - Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment - Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints - Clear communication and confidence leading technical customer conversations - A quantitative approach to debugging, experimentation, and performance measurement - Willingness to work on-site in San Francisco five days per week KEY SUCCESS DRIVERS - Ownership: You identify what needs doing and follow through until the issue is resolved and the deployment works - Technical judgment: You build solutions that fit the problem and validate them with evidence - Customer judgment: You understand the customer’s technical context and connect engineering work to useful outcomes - Quality: You move quickly without overlooking the details that determine production reliability - Communication: You explain trade-offs clearly and keep technical and business stakeholders aligned - Resourcefulness: You build the tools, diagnostics, or prototypes needed to unblock progress - Adaptability: You move comfortably between coding, evaluations, troubleshooting, and customer conversations WHY JOIN? - Compensation: 220,000-320,000 annual salary, plus competitive equity - Scope: Help build the FDE function while owning evaluations, implementation, and ongoing technical outcomes - Production impact: Solve document-processing and deployment challenges that directly affect enterprise AI applications - Product influence: Work directly with founders and engineering to turn customer needs into platform improvements - Team: Join a founder-led, engineering-first environment with close collaboration across product, sales, and customer success - Benefits: Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible health and wellness reimbursement - Office support: Free daily lunch and reimbursed transportation - Visa support: Open to visa transfers (e.g. OPT, H1B transfers) and sponsorship INTERVIEWING PROCESS 1. HR screening 2. Hiring manager screen and technical interview - 30 minutes: Live Python coding to assess engineering fundamentals and problem-solving. 3. On-site practical assessment: Build an application relevant to the role, with a focus on engineering depth or technical presentation and customer communication. 4. Offer extended. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Project Manager for Olsson’s Rail Track Team, you will lead the delivery of complex terminal and intermodal rail projects from concept through completion. Your responsibilities will include overseeing track and civil design efforts, managing project execution and schedules, conducting quality control reviews, and developing cost estimates. You’ll also contribute to scope development, support business development initiatives, and drive process improvements to enhance efficiency and quality across deliverables. What you’ll do: Define project scopes, schedules, and budgets—and keep them on track. Lead cross-functional teams on intermodal or other rail terminal designs, aligning skills and resources with project goals . Serve as the primary liaison for clients and internal stakeholders. Monitor progress, manage risks, and ensure top-tier quality and compliance. Mentor team members on project management best practices. Build strong client relationships to secure future opportunities. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: PE license required. 8+ years of project experience in rail track design Bachelor’s degree in civil engineering required Proven ability to manage contracts, lead teams, and exceed client expectations. Strong communication, leadership, and problem-solving skills. Valid driver’s license and willingness to travel as needed. #LI-AF1 #LI-Remote The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases. National Pay Range $120,000 — $160,000 USD Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .